Prof. Wenjing Li | Artificial Neural Networks | Research Excellence Award

Beijing University of Technology | China

Prof. Wenjing Li is an internationally recognized researcher in intelligent computing and neural computation, with a strong focus on brain-like neural network modeling, intelligent anomaly detection, and data-driven modeling for wastewater treatment processes. According to Scopus, she has published 89 peer-reviewed documents, received 1,797 citations, and holds an h-index of 23, reflecting sustained impact in computational intelligence and applied AI. Her research is distinguished by the development of feedforward small-world neural networks, self-organizing algorithms, pruning strategies, and robust modeling frameworks for nonlinear systems and industrial process prediction. Her work has appeared in leading journals including IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Reliability, IEEE Transactions on Emerging Topics in Computational Intelligence, and Applied Intelligence, contributing significantly to intelligent modeling methodologies and virtual sensing in complex engineering systems.

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