Cuimin Sun | Agricultural and Biological Sciences | Best Researcher Award

Published on by Forensic Scientist Awards

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.

Mamoni Banerjee | Agricultural and Biological Sciences | Best Researcher Award

Published on by Forensic Scientist Awards

Best Researcher Award

Mamoni Banerjee
Indian Institute of Technology, Kharagpur, India

Mamoni Banerjee
Affiliation Indian Institute of Technology, Kharagpur
Country India
Scopus ID 57211580670
Documents 41
Citations 323
h-index 11
Subject Area Agricultural and Biological Sciences
Event International Forensic Scientist Awards
ORCID 0000-0002-3315-2567

Mamoni Banerjee is a researcher associated with agricultural and biological sciences at the Indian Institute of Technology, Kharagpur. Her research profile encompasses sustainable food systems, agricultural decision-making, organic food consumption, biopesticide adoption, food supply chains, and functional food research. Her indexed record comprises 41 documents, 323 citations, and an h-index of 11. [1]

Abstract

Mamoni Banerjee’s research portfolio reflects an interdisciplinary focus on sustainable agriculture, food systems, farmer behavior, consumer behavior, and functional food applications. Recent publications address life-cycle carbon accounting and waste valorisation in litchi supply chains, organic food consumption in India, biopesticide adoption, and the bioactivity and functional applications of Costus pictus. [2] [3] [4] [5]

Keywords

  • Sustainable food systems
  • Agricultural sustainability
  • Organic food consumption
  • Biopesticide adoption
  • Food supply chains

Introduction

Research addressing agricultural sustainability increasingly connects production practices with consumer behavior, environmental accounting, resource recovery, and food functionality. Banerjee’s recent work fits within this broad research landscape by examining agricultural and food-system questions through empirical studies, reviews, and sustainability-oriented approaches. Her publication record provides evidence of engagement with both behavioral and environmental dimensions of food and agriculture.

Research Profile

The research profile combines agricultural sustainability with studies of human behavior and food-related decision-making. The 2025 study on organic food consumption investigates factors influencing consumer behavior in India, while research on biopesticide adoption considers behavioral theories alongside government initiatives. [3] [4] This combination indicates a research agenda spanning production, adoption, consumption, and sustainable food-system transitions.

Research Contributions

Recent contributions include life-cycle carbon accounting and waste valorisation within litchi supply chains, providing a sustainability-oriented perspective on food production and resource use. [2] Other work examines behavioral drivers of organic food consumption and biopesticide adoption in India. [3] [4] A review of medicinal insulin plant bioactivities further extends the portfolio toward functional food research. [5]

Publications

  • Life cycle carbon accounting and waste valorisation in litchi supply chains for climate-resilient food systems — Sustainable Food Technology, 2026. [2]
  • Identifying the factors influencing consumption behavior toward organic food: an empirical study in India — Cogent Food & Agriculture, 2025. [3]
  • Bridging behavioral theories and government initiatives: understanding the drivers of biopesticide adoption among farmers in India — Renewable Agriculture and Food Systems, 2025. [4]
  • Synergies of bioactivities, mechanisms, dietary factors and functional food applications of medicinal insulin plant (Costus pictus D.): a review — International Journal of Food Science and Technology, 2024. [5]

Research Impact

The indexed profile records 41 documents, 323 citations, and an h-index of 11. [1] The publication themes also connect agricultural research with climate resilience, sustainable consumption, biological crop protection, and functional foods. These areas are relevant to ongoing efforts to improve resource efficiency and sustainability across food and agricultural systems.

Award Suitability

The documented research profile provides evidence relevant to consideration for a Best Researcher Award within the International Forensic Scientist Awards framework, particularly through its publication activity, citation record, and multidisciplinary agricultural and food-system research. The assessment should be considered alongside the award’s formal eligibility criteria and any independent review procedures.

Conclusion

Mamoni Banerjee’s documented scholarly record demonstrates sustained research activity in agricultural and biological sciences, with recent work addressing sustainable food systems, farmer and consumer behavior, biopesticides, supply-chain sustainability, and functional foods. The combination of indexed research output and interdisciplinary subject coverage provides a substantive basis for academic recognition and further scholarly evaluation.

References

  1. Elsevier. (n.d.). Scopus author details: Mamoni Banerjee, Author ID 57211580670. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=57211580670
  2. Royal Society of Chemistry. (2026). Life cycle carbon accounting and waste valorisation in litchi supply chains for climate-resilient food systems. Sustainable Food Technology.
    https://doi.org/10.1039/D5FB00519A
  3. Taylor & Francis. (2025). Identifying the factors influencing consumption behavior toward organic food: an empirical study in India. Cogent Food & Agriculture.
    https://doi.org/10.1080/23311932.2025.2565381
  4. Cambridge University Press. (2025). Bridging behavioral theories and government initiatives: understanding the drivers of biopesticide adoption among farmers in India. Renewable Agriculture and Food Systems.
    https://doi.org/10.1017/S1742170525100070
  5. Wiley. (2024). Synergies of bioactivities, mechanisms, dietary factors and functional food applications of medicinal insulin plant (Costus pictus D.): a review. International Journal of Food Science and Technology.
    https://doi.org/10.1111/ijfs.17588

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

Published on by Forensic Scientist Awards

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

Jun Yuan | Agricultural | Research Excellence Award

Published on by Forensic Scientist Awards

Assoc. Prof. Dr. Jun Yuan | Agricultural | Research Excellence Award

Jiangxi University of Chinese Medicine | China

Assoc. Prof. Dr. Jun Yuan is a plant ecologist and molecular plant scientist whose research investigates how plants perceive, respond to, and adapt to environmental variation. Her work integrates plant physiology, ecology, metabolomics, transcriptomics, and comparative genomics to uncover adaptive mechanisms under abiotic stress, with a strong focus on heavy metal stress in medicinal plants. She has contributed significant insights into cadmium resistance, revealing how metabolic regulation, transcription factors, and gene expression networks mediate stress tolerance and influence the synthesis of bioactive compounds. In addition, her comparative chloroplast genome and phylogenomic studies advance understanding of plant evolution and systematics across diverse taxa. Through interdisciplinary approaches that bridge ecological processes with molecular mechanisms, her research supports environmental risk assessment, medicinal plant safety, and the development of stress-resilient plant resources, strengthening the scientific basis for sustainable utilization of plants under changing environmental conditions.

                             Citation Metrics (Scopus)

50

40

30

20

10

0

 

Citations
49
Documents
8
h-index
3

Citations

Documents

h-index

View Scopus Profile View Orcid Profile

Featured Publications

Xuegui Wang | Agricultural Science and Innovation | Best Researcher Award

Published on by Forensic Scientist Awards

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.