Samad Jafarmadar | Agricultural and Biological Sciences | Best Paper Award

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Best Paper Award: Samad Jafarmadar

Samad Jafarmadar
Urmia University, Iran

           Samad Jafarmadar
Affiliation Urmia University
Country Iran
Scopus ID 35299618200
Documents 204
Citations 4,477
h-index 38
Subject Area Agricultural and Biological Sciences
Event International Forensic Scientist Awards

Samad Jafarmadar is a researcher affiliated with Urmia University, Iran, whose reported scholarly record includes research on energy systems, combustion, alternative fuels, and environmental performance. This academic recognition profile presents his bibliometric indicators and selected recent publications in the context of the Best Paper Award associated with the International Forensic Scientist Awards. Award consideration should be based on verified publication quality, originality, methodological rigor, and relevance rather than citation indicators alone. [1]

Abstract

This profile summarizes Jafarmadar’s reported research metrics and selected publications concerning hybrid drying systems, biodiesel combustion, engine emissions, and biomass-based energy conversion. These topics address energy efficiency, fuel alternatives, and environmental performance. The profile provides an academic overview, not an independent determination that a particular publication has received an award.

Keywords

Samad Jafarmadar; Best Paper Award; energy systems; biomass gasification; biodiesel; combustion engineering; emissions assessment; hybrid drying; research impact; sustainable technology.

Introduction

Research addressing energy conversion and emissions can contribute to more efficient industrial processes and informed environmental decision-making. Jafarmadar’s supplied publication records indicate engagement with these interdisciplinary engineering challenges. His reported Scopus indicators provide a quantitative snapshot of scholarly output, while individual papers require separate assessment of their scientific contribution and publication details. [2]

Research Profile

The supplied profile lists 204 documents, 4,477 citations, and an h-index of 38. These figures are attributed to the provided researcher information and should be checked against the current Scopus author record before publication. The listed research themes encompass energy assessment, alternative fuels, engine performance, and biomass conversion.

Research Contributions

The supplied titles suggest three areas of investigation: artificial neural network-based assessment of drying systems, evaluation of soybean biodiesel in a diesel engine, and integrated biomass gasification with solid-oxide fuel-cell conversion. Together, these themes concern system performance, emissions, resource utilization, and optimization. Detailed conclusions about novelty or measured improvements require examination of the full articles. [3]

Publications

  1. Kaveh, M., Jafarmadar, S., and colleagues. “ANN-based energy and emissions assessment of different hybrid drying system for savory herbs.” Industrial Crops and Products (2026). DOI not supplied.
  2. Ojaghi, S., Jafarmadar, S., and Khalilarya, S. “Assessment of using Soybean Biodiesel Fuel on Performance and Exhaust Emission Characteristics of a Common-rail Diesel Engine (OM355).” International Journal of Engineering, Transactions B: Applications (2026).
  3. Abdollahi Haghghi, M., Jafarmadar, S., and Kaveh, M. “Modified-route chemical-to-power conversion via biomass gasification–HSOFC with waste-to-power/freshwater integration: 4E analysis for biomass selection and LS-boosting-based optimization.” International Journal of Hydrogen Energy (2026).

The bibliographic details above are reproduced from the supplied records; complete author lists, volume and page information, and DOI identifiers should be verified before final publication. [4]

Research Impact

The reported citation count and h-index indicate measurable scholarly attention, but their interpretation depends on database coverage, career stage, subject norms, and publication dates. A balanced impact assessment should also examine methodological quality, reproducibility, practical relevance, and independent uptake of research findings.

Award Suitability

For Best Paper Award consideration, relevant criteria include originality, clarity of research objectives, appropriate methodology, strength of evidence, and significance to the field. The listed publications provide potential candidates for evaluation, but no specific winning paper or award outcome is established by the supplied information. A formal decision should follow independent review of the nominated work.

Conclusion

Samad Jafarmadar’s supplied profile describes a substantial publication and citation record alongside research themes in energy conversion, alternative fuels, and emissions. Verification of bibliometric data and complete publication metadata, together with a paper-specific scholarly review, would provide a sound basis for an accurate academic recognition profile.

References

  1. Elsevier. (n.d.). Scopus author details: Samad Jafarmadar, Author ID 35299618200. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=35299618200
  2. Elsevier. (n.d.). Scopus: Abstract and citation database.
  3. International Journal of Hydrogen Energy. (n.d.). Journal information and published research records.
  4. Crossref. (n.d.). Crossref metadata search. Use the article title to verify DOI and bibliographic details; no DOI was supplied for the listed records.
  5. International Forensic Scientist Awards. (n.d.). Official website.
    forensicscientist.org

Yilin Yuan | Agricultural and Biological Sciences | Best Researcher Award

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Best Researcher Award

Yilin Yuan
National University of Singapore, Singapore

                   Yilin Yuan
Affiliation National University of Singapore
Country Singapore
Scopus ID 60646801600
Documents 4
Subject area Agricultural and Biological Sciences
Event International Forensic Scientist Awards
ORCID 0009-0002-4255-0281

Yilin Yuan’s listed publications address plant molecular biology, gene-family identification, postharvest treatment, and plant responses to environmental stress. These topics connect genomic analysis with questions relevant to crop development, produce quality, and agricultural research. The four supplied publication records provide the basis for this research profile and recognition assessment. Citation totals and h-index have not been supplied and therefore are not inferred.

Abstract

This profile examines four listed studies associated with Yilin Yuan, covering ABF transcription-factor genes in melon, grape gene families and postharvest treatment, and nano-TiO₂-mediated responses to heat stress in radish. Collectively, these topics illustrate approaches to understanding plant gene expression, stress responses, and agricultural product quality. The publications provide a focused basis for considering the researcher’s potential suitability for recognition in agricultural and biological sciences. [1] [2] [3] [4]

Keywords

Plant molecular biology; gene-family identification; ABF transcription factors; melon; grape; radish; postharvest treatment; abiotic stress; nano-TiO₂; agricultural sciences.

Introduction

Research in agricultural and biological sciences increasingly combines molecular characterization with investigations of plant responses to environmental and postharvest conditions. Gene-family studies can help identify candidate regulators and provide a foundation for expression analysis. Research on produce treatment and heat stress can further inform investigations of crop resilience and quality. Yuan’s listed work spans these connected research themes, with publications concerning melon, Shine Muscat grapes, and radish. [1] [2] [3]

Research Profile

The supplied publication record indicates a research focus on plant gene families, gene-expression analysis, and physiological responses to treatment or stress. The studies include ABF-related genes in melon and grape, the VvYTH gene family in Shine Muscat grapes, and coordinated hormonal and microbial networks associated with radish responses to heat stress. This combination suggests an interest in linking molecular-level evidence with questions relevant to crop science. [1] [3] [4]

Research Contributions

The listed studies cover several complementary areas:

  • Gene-family characterization in melon, with attention to ozone and abscisic acid responses. [1]
  • Investigation of grape ABF genes under postharvest chlorine dioxide treatment. [2]
  • Study of hormonal and microbial networks in nano-TiO₂-mediated alleviation of heat-stress pithiness in radish. [3]
  • Identification and expression analysis of the VvYTH gene family in Shine Muscat grapes. [4]

Together, these topics offer a basis for further research into molecular responses and agricultural applications. Specific individual contributions should be confirmed against the full papers and author statements.

Publications

  1. “Genome-Wide Identification of the CmABF Gene Family in Melon (Cucumis melo L.) and Their Response to Ozone and ABA.” Horticulturae, 2026. [1]
  2. “Identification of VvABF Gene Family and Expression Analysis under Post-harvest ClO₂ Treatment in Shine-Muscat Grape.” Journal of Henan Agricultural Sciences, 2026. [2]
  3. “Systemic coordination of hormonal and microbial networks underlies nano-TiO₂-mediated alleviation of heat-stress pithiness in radish.” Plant Nano Biology, 2026. [3]
  4. “Identification of the VvYTH Gene Family in ‘Shine Muscat’ Grapes and Expression Analysis under Postharvest ClO₂ Treatment.” Sino-overseas Grapevine & Wine, 2025. [4]

Research Impact

The publication topics address crop-related questions with potential relevance to plant stress biology and postharvest management. Their contribution to the wider field depends on methodological robustness, reproducibility, subsequent validation, and uptake by other researchers. The supplied records list four documents; verified citation counts, h-index, and independent evidence of practical adoption remain unavailable. These metrics should be checked against the researcher’s current Scopus profile before being used in formal evaluation.

Award Suitability

The breadth of the listed work provides a preliminary basis for consideration for the Best Researcher Award under the International Forensic Scientist Awards. The publications demonstrate engagement with contemporary agricultural and biological research topics. A balanced assessment should additionally verify authorship, institutional affiliation, publication status, methodological contribution, and research impact. The award’s forensic-science focus should also be considered when determining the relevance of this agricultural research profile to the specific award category.

Conclusion

Yilin Yuan’s supplied publications outline a research portfolio spanning plant gene-family analysis, postharvest treatment, and stress-related biological responses. These subjects are relevant to agricultural and biological sciences and offer a foundation for evaluating research contributions. Final recognition decisions should rely on verified bibliographic details, individual authorship contributions, and independently confirmed impact indicators.

References

  1. MDPI. (2026). Genome-Wide Identification of the CmABF Gene Family in Melon (Cucumis melo L.) and Their Response to Ozone and ABA. Horticulturae.
    https://doi.org/10.3390/horticulturae12091106
  2. Journal of Henan Agricultural Sciences. (2026). Identification of VvABF Gene Family and Expression Analysis under Post-harvest ClO₂ Treatment in Shine-Muscat Grape.
    https://doi.org/10.15933/j.cnki.1004-3268.2026.06.012
  3. Elsevier. (2026). Systemic coordination of hormonal and microbial networks underlies nano-TiO₂-mediated alleviation of heat-stress pithiness in radish. Plant Nano Biology.
    https://doi.org/10.1016/j.plana.2026.100301
  4. Sino-overseas Grapevine & Wine. (2025). Identification of the VvYTH Gene Family in ‘Shine Muscat’ Grapes and Expression Analysis under Postharvest ClO₂ Treatment.
    https://doi.org/10.13414/j.cnki.zwpp.2025.04.003
  5. ORCID. (n.d.). Yilin Yuan researcher identifier.
    https://orcid.org/0009-0002-4255-0281
  6. Scopus. (n.d.). Author search for Yilin Yuan, Scopus Author ID 60646801600. Elsevier.
  7. International Forensic Scientist Awards. (n.d.). Official awards website.
    forensicscientist.org

Cuimin Sun | Agricultural and Biological Sciences | Best Researcher Award

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Best Researcher Award

Cuimin Sun
Guangxi University, China

Cuimin Sun
Affiliation Guangxi University
Country China
Scopus ID 57155480000
Documents 55
Citations 382
h-index 11
Subject Area Agricultural and Biological Sciences
Event International Forensic Scientist Awards
ORCID 0000-0003-4174-1094

Cuimin Sun is a researcher affiliated with Guangxi University whose scholarly record spans agricultural and biological sciences, computational prediction, plant nutrient assessment, microfluidics, and micro-extrusion technologies. The available bibliometric profile records 55 documents, 382 citations, and an h-index of 11, providing a quantitative basis for assessing research visibility and continuity. [1]

Abstract

Cuimin Sun’s research profile demonstrates interdisciplinary activity connecting agricultural intelligence, plant nutrient analysis, microfluidic systems, and advanced manufacturing. Recent publications include machine-learning approaches for maize and sugarcane nutrient assessment and engineering studies involving deformable droplets and concentrated silver paste. [2] [3] [4] These works indicate an applied research orientation supported by computational modeling, image-based analysis, and experimental validation.

Keywords

Agricultural sciences; biological sciences; machine learning; plant nutrient prediction; maize; sugarcane; microfluidics; micro-extrusion; image analysis; experimental validation.

Introduction

Research in agricultural and biological sciences increasingly integrates sensing, artificial intelligence, computational modeling, and experimental technologies. Sun’s recent publication record reflects this convergence. The reported studies address both agricultural decision-support problems and engineering methods that can contribute to precision-oriented scientific applications. The combination of quantitative modeling and experimentally grounded investigation provides a multidisciplinary basis for evaluating the researcher’s scholarly contributions.

Research Profile

Sun’s research profile includes artificial intelligence for crop nutrient assessment, particularly through image-based and attention-based neural networks. The SCBI-EfficientNetV2 study addresses regression prediction of nitrogen content in maize leaves, while WT-ResNet investigates nondestructive estimation of nitrogen, phosphorus, and potassium in sugarcane leaves. [3] [4] This work is complemented by studies in microfluidic separation and extrusion behavior, illustrating broader technical engagement with applied modeling and experimental systems.

Research Contributions

  • Development of lightweight deep-learning approaches for agricultural nutrient prediction.
  • Investigation of nondestructive plant nutrient assessment using leaf imagery.
  • Research into centrifugal-field microfluidic separation of deformable droplets.
  • Semi-theoretical modeling and experimental validation of extrusion swell behavior in concentrated silver paste.

Publications

Selected recent publications include Semi-Theoretical Modeling and Experimental Validation of the Extrusion Swell Ratio of Highly Concentrated Silver Paste in Micro-Extrusion, published in Micromachines in July 2026. [5] The February 2026 Agronomy article, SCBI-EfficientNetV2, reports a lightweight attention-based approach for maize nitrogen prediction. [3] Other recent studies address sugarcane nutrient prediction and deformable droplet separation in microfluidic systems. [4] [6]

Research Impact

The bibliometric record of 55 documents, 382 citations, and an h-index of 11 indicates an established level of scholarly dissemination and citation activity. [1] The thematic diversity of recent publications further suggests an ability to apply computational and experimental methods across agricultural and engineering contexts. Such breadth is relevant to research environments where interdisciplinary methods are increasingly used to address complex measurement and process-control problems.

Award Suitability

For the Best Researcher Award, Sun’s profile can be evaluated through publication activity, citation indicators, methodological diversity, and relevance to applied scientific research. The combination of agricultural machine learning, nondestructive crop assessment, and experimental engineering research provides evidence of sustained scholarly engagement. The documented metrics and selected publications offer measurable criteria for consideration within a research recognition framework.

Conclusion

Cuimin Sun presents a multidisciplinary research profile associated with Guangxi University and the Agricultural and Biological Sciences subject area. The available record combines measurable scholarly impact with research addressing crop nutrient prediction, artificial intelligence, microfluidics, and advanced manufacturing. These characteristics provide a substantive academic basis for consideration for the Best Researcher Award.

References

  1. Elsevier. (n.d.). Scopus author details: Cuimin Sun, Author ID 57155480000. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=57155480000
  2. Sun, C., et al. (2026). SCBI-EfficientNetV2: A Lightweight Attention-Based Network for Regression Prediction of Nitrogen Content in Maize Leaves. Agronomy, 16(5), 544.
    https://doi.org/10.3390/agronomy16050544
  3. Sun, C., et al. (2025). WT-ResNet: A Non-Destructive Method for Determining the Nitrogen, Phosphorus, and Potassium Content of Sugarcane Leaves Based on Leaf Image. Agriculture, 15(16), 1752.
    https://doi.org/10.3390/agriculture15161752
  4. Sun, C., et al. (2025). An Open-Type Crossflow Microfluidic Chip for Deformable Droplet Separation Driven by a Centrifugal Field. Micromachines, 16(7), 774.
    https://doi.org/10.3390/mi16070774
  5. Sun, C., et al. (2026). Semi-Theoretical Modeling and Experimental Validation of the Extrusion Swell Ratio of Highly Concentrated Silver Paste in Micro-Extrusion. Micromachines, 17(7), 855.
    https://doi.org/10.3390/mi17070855
  6. MDPI. (n.d.). Micromachines and Agriculture publication records. Multidisciplinary Digital Publishing Institute.

Mujib Rahman Ahmadzai | Agricultural Science and Innovation | Forensic Scientist of the Year Award

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Forensic Scientist of the Year Award

Mujib Rahman Ahmadzai
Kabul University, Afghanistan

Mujib Rahman Ahmadzai
Affiliation Kabul University
Country Afghanistan
Scopus ID 57668491600
Documents 6
Citations 39
h-index 3
Subject Area Agricultural Science and Innovation
Event International Forensic Scientist Awards
ORCID 0000-0002-8966-6698

Mujib Rahman Ahmadzai is a researcher affiliated with Kabul University whose indexed research addresses agricultural systems, forestry, land-use change, water resources, drought assessment, and rural socioeconomic conditions in Afghanistan. His publication record includes studies examining community forestry and livelihood outcomes, livestock production, agroforestry practices, river-supported agriculture, and meteorological drought risk. These works demonstrate an interdisciplinary approach connecting environmental conditions, natural-resource management, agricultural productivity, and community-level outcomes. [1]

Abstract

This academic recognition profile presents the research record of Mujib Rahman Ahmadzai in the context of the Forensic Scientist of the Year Award. His indexed publications focus on environmental and agricultural challenges in Afghanistan, with particular attention to forestry, agroforestry, land-use transformation, water resources, drought risk, and rural livelihoods. The portfolio provides evidence of research activity connecting scientific assessment with natural-resource and community-oriented issues. [2]

Keywords

  • Agricultural Science
  • Forestry and Agroforestry
  • Land Use Change
  • Drought Risk Assessment
  • Afghanistan Research

Introduction

Ahmadzai’s research portfolio reflects an interdisciplinary orientation toward environmental and agricultural systems. His studies investigate how socioeconomic dynamics, land-use change, forest resources, water availability, and climatic variability influence production and livelihoods. Such research contributes empirical evidence for understanding resource-dependent communities and environmental pressures in Afghanistan. [3]

Research Profile

The research profile encompasses forestry, agroforestry, livestock production, agricultural sustainability, hydrological resources, and climate-related risk. Published work on Chilgoza pine forests examines market access and livelihood outcomes, while research in Khost Province considers socioeconomic characteristics and land-use change in relation to agroforestry practices. [1] [3]

Research Contributions

  • Assessment of socioeconomic and livelihood dimensions of community forestry.
  • Analysis of land-use change and its implications for livestock and agroforestry systems.
  • Evaluation of river resources supporting agricultural production.
  • Application of the Standardized Precipitation Index for drought-risk assessment.

Publications

Selected publications include Market Access and Livelihood Outcomes in Community Forestry: Evidence from Chilgoza Pine Forests in Paktia, Afghanistan (2026), Transforming livestock production: unraveling the impact of socioeconomic dynamics and land use changes in Khost Province (2025), Farmers’ Socioeconomic Characteristics and Perception of Land Use Change Defining Optimal Agroforestry Practices in Khost Province, Afghanistan (2024), The Role of Logar River in Sustaining Agricultural Production: A Case Study (2024), and Meteorological Drought Risk Assessment Using SPI Numerical Model: A Case Study of Helmand River Basin, Afghanistan (2024). [1] [2] [3] [4] [5]

Research Impact

The supplied Scopus record lists 6 documents, 39 citations, and an h-index of 3. These bibliometric indicators provide a quantitative snapshot of indexed research visibility and citation activity. The publication themes also indicate practical relevance to sustainable resource management, agricultural resilience, and environmental planning in Afghanistan.

Award Suitability

For the Forensic Scientist of the Year Award, the documented research record may be considered as part of a broader assessment of scientific contribution, publication activity, interdisciplinary investigation, and measurable research impact. The portfolio demonstrates sustained scholarly engagement with applied environmental and agricultural questions. Final award suitability should be determined according to the event’s official evaluation criteria and the complete nomination documentation.

Conclusion

Mujib Rahman Ahmadzai’s research profile is characterized by interdisciplinary studies of agriculture, forestry, land-use change, water resources, and climatic risk in Afghanistan. His indexed publications and citation record provide documented evidence of scholarly activity, while the applied nature of his research connects scientific investigation with environmental and socioeconomic challenges.

References

  1. Ahmadzai, M. R., et al. (2026). Market Access and Livelihood Outcomes in Community Forestry: Evidence from Chilgoza Pine Forests in Paktia, Afghanistan. Forests.
    https://doi.org/10.3390/f17091015
  2. Ahmadzai, M. R., et al. (2025). Transforming livestock production: unraveling the impact of socioeconomic dynamics and land use changes in Khost Province. Journal of Land Use Science.
    https://doi.org/10.1080/1747423X.2025.2483491
  3. Ahmadzai, M. R., et al. (2024). Farmers’ Socioeconomic Characteristics and Perception of Land Use Change Defining Optimal Agroforestry Practices in Khost Province, Afghanistan. Forests.
    https://doi.org/10.3390/f15111877
  4. Ahmadzai, M. R., et al. (2024). The Role of Logar River in Sustaining Agricultural Production: A Case Study. Journal of Natural Science Review.
    https://doi.org/10.62810/10.62810/jnsr.v2i3.78
  5. Ahmadzai, M. R., et al. (2024). Meteorological Drought Risk Assessment Using SPI Numerical Model: A Case Study of Helmand River Basin, Afghanistan. Planning Malaysia.
    https://doi.org/10.21837/pm.v22i33.1544
  6. Elsevier. (n.d.). Scopus author details: Mujib Rahman Ahmadzai, Author ID 57668491600. Scopus.
    https://www.scopus.com/pages/authors/57668491600

Dan Wang | Agricultural and Biological Sciences | Research Excellence Award

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Dr. Dan Wang | Agricultural and Biological Sciences | Research Excellence Award

Shandong Agricultural University | China

Dr. Dan Wang is a researcher in Animal Nutrition and Feed Science, focusing on nutritional and molecular strategies to enhance livestock health and productivity. The research integrates animal feeding trials, biomarker identification, and bioinformatics to investigate metabolic regulation, particularly lipid metabolism in poultry. Contributions include peer-reviewed publications on adiponectin-mediated AMPK signaling and hepatic lipid accumulation in aging laying hens. The work emphasizes innovative nutritional interventions to improve animal performance and welfare. Research interests also extend to metabolic disorders, precision nutrition, and sustainable livestock production systems.

View ORCID Profile

Featured Publications

Xuegui Wang | Agricultural Science and Innovation | Best Researcher Award

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Prof. Dr. Xuegui Wang | Agricultural Science and Innovation | Best Researcher Award

Sichuan Agricultural University | China

Prof. Dr. Xuegui Wang, Ph.D., is a distinguished professor and doctoral supervisor at Sichuan Agricultural University, widely recognized for his pioneering work in pesticide science, insect resistance management, and sustainable crop protection. With academic training from South China Agricultural University and Huazhong Agricultural University, followed by international collaborations at China Agricultural University and Auburn University, he has combined molecular biology, resistance risk assessment, and CRISPR-Cas9-based methods to advance innovative solutions in agricultural science. His research emphasizes monitoring and managing insect resistance, uncovering molecular resistance mechanisms, and developing green nano-pesticides that enhance efficiency while reducing ecological risks. Dr. Xuegui Wang published 67 documents, accumulated 958 citations from 767 articles, and holds an h-index of 20, according to Scopus (Scopus ID: 36018772500). He has contributed extensively to leading journals such as Pest Management Science, Ecotoxicology and Environmental Safety, Chemosphere, and Frontiers in Microbiology, with his studies being widely cited and influencing pest management practices. In addition to his research excellence, he is deeply committed to education, having mentored undergraduate and graduate students who have earned prestigious national awards and produced high-quality publications. Through his leadership in scientific innovation and talent development, Dr. Xuegui Wang continues to make a significant impact on sustainable agriculture and global food security.

Profile: Scopus

Featured Publications

Zhang, S. R., Gu, F. C., Du, Y., Li, X. Y., Gong, C. W., Pu, J., Liu, X. M., & Wang, X. G. (2022). Risk assessment and resistance inheritance of triflumezopyrim resistance in Laodelphax striatellus. Pest Management Science.

Gong, C. W., Ruan, Y. W., Zhang, Y. M., Wang, Q. L., Wu, Y. T., Zhan, X. X., He, Y. F., Liu, X. X., Liu, X. M., Pu, J., & Wang, X. G. (2022). Resistance of Sogatella furcifera to triflumezopyrim mediated with the overexpression of CYPSF01 which was regulated by nuclear receptor USP. Ecotoxicology and Environmental Safety, 238, 117535.

Gong, C. W., …, & Wang, X. G. (2022). Maf regulates the overexpression of CYP307A1, which is involved in the fitness advantage of bistrifluron-resistant Spodoptera litura (Fab.) (Noctuidae: Lepidoptera). Ecotoxicology and Environmental Safety.

Ruan, Y. W., …, & Wang, X. G. (2021). Cloning and functional verification of CYP408A3 and CYP6CS3 related to chlorpyrifos resistance in the Sogatella furcifera (Horváth) (Hemiptera: Delphacidae). Biology, 10(8), 795.

Gong, C. W., …, & Wang, X. G. (2021). Fitness costs of chlorantraniliprole resistance related to the SeNPF overexpression in the Spodoptera exigua (Lepidoptera: Noctuidae). International Journal of Molecular Sciences, 22(9), 5027.

Gong, C. W., …, & Wang, X. G. (2021). The fitness advantages of bistrifluron resistance related to Chitin synthase A in Spodoptera litura (Fab.) (Noctuidae: Lepidoptera). Pest Management Science.

Liu, S. H., …, & Wang, X. G. (2021). Fitness costs associated with chlorantraniliprole resistance in Spodoptera exigua (Lepidoptera: Noctuidae). Pest Management Science.

Ruan, Y. W., …, & Wang, X. G. (2020). Status of insecticide resistance and biochemical characterization of chlorpyrifos resistance in Sogatella furcifera (Hemiptera: Delphacidae) in Sichuan Province, China. Pesticide Biochemistry and Physiology, 168, 104723.

Youming Hou | Biological Sciences | Outstanding Scientist Award

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Prof. Youming Hou | Biological Sciences | Outstanding Scientist Award

College of Plant Protection, Fujian Agriculture and Forestry | China

Youming Hou is a distinguished entomologist and the Dean of the College of Plant Protection at Fujian Agriculture and Forestry University. With expertise in ecological pest control and invasive species management, he has significantly contributed to innovative strategies for managing agricultural pests. His groundbreaking research has led to key advancements in controlling major invasive species such as Solenopsis invicta (red imported fire ant) and Octodonta nipae (nipah palm beetle). His achievements have been recognized with prestigious national and provincial science and technology awards.

👤Profile

ORCID

Scopus

Strengths for the Awards

  1. Extensive Research Contributions 📚
    • Published 135 SCI-indexed journal articles, demonstrating a strong research output.
    • H-index of 23, indicating significant influence in the entomology and pest control research field.
    • 1,802 citations, showcasing global recognition and impact.
  2. Innovative Research & Patents 🔬
    • Specializes in ecological control of pests and monitoring and control of invasive organisms—an area of high agricultural and ecological importance.
    • Secured 16 patents, highlighting strong innovation and application-driven research.
  3. Major Research Projects & Leadership 🌍
    • Leading two national key research and development projects related to pest control.
    • Heads two National Natural Science Foundation projects on Tuta absoluta control.
    • Actively collaborates with international institutions (Egyptian Academy of Sciences and Dalhousie University), demonstrating global research engagement.
  4. Awards & Recognitions 🏆
    • Received national and provincial science and technology progress awards for contributions to pest control and invasive species management.
  5. Editorial & Professional Contributions ✍️
    • Holds editorial positions in multiple entomology and biosafety journals.
    • Serves as President of the Fujian Entomological Society and Standing Director of the China Entomological Society, reflecting leadership and recognition in the field.

🎓 Education

Youming Hou obtained his degree in entomology from South China Agricultural University in 1999. Under the mentorship of Academician Pang Xiongfei, he developed a strong foundation in pest ecology and control strategies. His academic journey laid the groundwork for his extensive contributions to integrated pest management and biosecurity measures.

💼 Experience

With a career spanning over two decades, Youming Hou has led multiple national and international research projects on ecological pest control. He has played a pivotal role in the development of cutting-edge pest monitoring and control technologies. As a professor and researcher, he has mentored numerous students and collaborated with esteemed institutions, including the Egyptian Academy of Sciences and Dalhousie University, to tackle global agricultural pest challenges.

🔬 Research Interests On Biological Sciences

His primary research interests include:

  • 🌿 Ecological Control of Pests: Developing sustainable pest management techniques for major agricultural pests like Plutella xylostella (diamondback moth) and Phyllotreta striolata (striped flea beetle).
  • 🦟 Invasive Species Management: Investigating the invasion characteristics, ecological impacts, and control measures for invasive pests such as Tuta absoluta (tomato leaf miner) and Solenopsis invicta.
  • 🧬 Biological Control and Biotechnology: Exploring innovative biological and ecological solutions to mitigate pest outbreaks and enhance crop protection.

🏆 Awards

Youming Hou’s contributions to pest control and invasive species management have earned him numerous accolades, including:

  • 🏅 National Science and Technology Progress Awards for innovations in ecological pest control.
  • 🏅 Provincial Science and Technology Awards for groundbreaking research in invasive species monitoring and management.

📚 Publications

  • Floral Resource Integration: Enhancing Biocontrol of Tuta absoluta
    • Authors: Moazam Hyder, Inzamam Ul Haq, Muhammad Younas, Muhammad Adeel Ghafar, Muhammad Rehan Akhtar, Zubair Ahmed, Aslam Bukero, Youming Hou
    • Year: 2025
  • High Antennal Expression of CYP6K1 and CYP4V2
    • Authors: JiangXinyi Jiang, Jiacheng Shen, Peng Lin, Youming Hou
    • Year: 2025
  • Spätzle Regulates Developmental and Immune Trade-Offs
    • Authors: Pengju Li, He Zhang, Anran Tan, Zhuolin Hu, Lu Peng, Youming Hou
    • Year: 2024
  • Interactions Between Nanoparticles and Tomato Plants
    • Authors: Inzamam Ul Haq, Xiangyun Cai, Habib Ali, Muhammad Rehan Akhtar, Muhammad Adeel Ghafar, Moazam Hyder, Youming Hou
    • Year: 2024
  • Role of Gut Bacteria in Tuta absoluta Host Adaptation
    • Authors: Luohua Shang, Xiangyun Cai, Xiu-Jie Li, Yu-Zhou Wang, Jin-Da Wang, Youming Hou
    • Year: 2024
  • A C-Type Lectin, RfCTL27, Activates Immune Defense
    • Authors: Yanru Gong, Yongjian Xia, Zhiping Su, Xinghong Wang, Yishuo Kou, Bing Ma, Youming Hou, Zhanghong Shi
    • Year: 2024
  • The Diversity of Wolbachia and Other Bacterial Symbionts
    • Authors: Yuan Liu, Lina Zhang, Xiangyun Cai, Alexandre Rutikanga, Baoli Qiu, Youming Hou
    • Year: 2024
  • Histone Acetylation Enhancing Host Melanization
    • Authors: 堃 蒋, Yan Zhou, Wen Cui, Yan-Wei Han, Pei Chen, Gui-Ming Liao, Youming Hou, Baozhen Tang
    • Year: 2024
  • Host-Encoded Aminotransferase Import into Nardonella
    • Authors: Ying Huang, Zhen-Feng Feng, Fan Li, Youming Hou
    • Year: 2024
  • Symbiotic Bacteria Affecting Phenoloxidase Activation
    • Authors: Sanda N. B., Youming Hou
    • Year: 2023
  • Cellular Immunological Responses to Asecodes hispinarum
    • Authors: Zhiming Chen, Tingting Fu, Lang Fu, Bin Liu, Yaping Lin, Baozhen Tang, Youming Hou
    • Year: 2022
  • Entomopathogenic Nematodes Inhibiting proPO System
    • Authors: Sanda N. B., Bofeng Hou, Youming Hou
    • Year: 2022
  • Effect of Gut Bacteria on Rhynchophorus ferrugineus
    • Authors: Qian-Xia Liu, Zhi-Ping Su, Hui-Hui Liu, Sheng-Ping Lu, Bing Ma, Yue Zhao, Youming Hou, Zhanghong Shi
    • Year: 2021

🔚 Conclusion

Youming Hou’s pioneering research in ecological pest control and invasive species management has left a lasting impact on agricultural biosecurity. His extensive work on sustainable pest management techniques has not only advanced scientific knowledge but also contributed to global efforts in controlling invasive species. As a leader in entomology, he continues to drive innovative solutions to mitigate agricultural threats and protect food security worldwide.