Prof. Jiquan Wang | Environmental Science | Research Excellence Award
Teacher | Northeast Agricultural University | China
Prof. Wang Jiquan is a senior researcher at Northeast Agricultural University, Harbin, China, with recognized expertise in agricultural intelligent systems, image processing, and optimization algorithms. He has authored 47 Scopus-indexed publications, accumulating 876 citations with an h-index of 16, reflecting sustained academic impact. His recent research focuses on agricultural pest and disease image analysis, smart supply–demand regulation, and parameter optimization using advanced metaheuristic and reinforcement learning methods, published in leading journals such as Computers and Electronics in Agriculture and Agriculture Switzerland. Dr. Wang actively collaborates with interdisciplinary and international research teams, contributing to 48 co-authored networks. His work supports digital agriculture, precision farming, and food supply stability, offering practical, data-driven solutions that enhance agricultural productivity, sustainability, and decision-making at both regional and global levels.
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Featured Publications
Hybrid genetic algorithm with variable neighborhood search for flexible job shop scheduling problem in a machining system
– Expert Systems with Applications, 2023
Multi-offspring genetic algorithm and its application to the traveling salesman problem
– Applied Soft Computing, 2016
Hybrid firefly algorithm with grouping attraction for constrained optimization problem
– Knowledge-Based Systems, 2021
A genetic algorithm with jumping gene and heuristic operators for traveling salesman problem
– Applied Soft Computing, 2022
