The chart shows the distribution of publications by all Research.com ranked scientists in the field of Electronics and Electrical Engineering in 2026. The highlighted bar marks where Huanqing Wang sits on this spectrum.
This scientist: 394 publications — 74th percentile
74% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 1,065 publications or more.
The chart shows the D-index (discipline H-index) distribution of Electronics and Electrical Engineering scientists ranked by Research.com in 2026. The highlighted bar marks where Huanqing Wang sits on this spectrum.
This scientist: 68 D-Index — 86th percentile
86% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 111 D-Index or more.
Huanqing Wang is affiliated with Bohai University in China, focusing on research in engineering and computer science fields. Their core expertise lies in control and systems engineering, with extensive work across several subfields including computer networks and communications, computational theory and mathematics, artificial intelligence, and computer vision and pattern recognition.
Their research prominently addresses topics such as adaptive control of nonlinear systems, adaptive dynamic programming control, distributed control multi-agent systems, iterative learning control systems, advanced control systems optimization, neural networks stability and synchronization, and stability and control of uncertain systems. This wide range shows a concentration on both theoretical and applied aspects of control systems and optimization techniques.
Huanqing Wang has an extensive publication record with notable papers including:
Their frequent coauthors include Xudong Zhao, Peter Liu, Ben Niu, Xiaoping Liu, and Cungen Liu, reflecting sustained collaborations within the control and systems engineering community.
Wang's research contributions appear regularly in several specialized venues, with high publication counts in:
With over 800 combined publications in engineering and computer science, the focus on adaptive control, stability, and optimization underscores their research trajectory. The work includes multiple studies on nonlinear dynamic systems, adaptive fuzzy control methods, and neural network approaches applied to control challenges.
Huanqing Wang;Bing Chen;Xiaoping Liu;Kefu Liu
Ming Chen;Huanqing Wang;Xiaoping Liu
Huanqing Wang;Bing Chen;Kefu Liu;Xiaoping Liu
Huanqing Wang;Kefu Liu;Xiaoping Liu;Bing Chen
Huanqing Wang;Peter Xiaoping Liu;Xudong Zhao;Xiaoping Liu
Unknown
Huanqing Wang;Xiaoping Liu;Kefu Liu;Hamid Reza Karimi
Hongyi Li;Lu Bai;Lijie Wang;Qi Zhou
Huanqing Wang;Wen Bai;Xudong Zhao;Peter Xiaoping Liu
Huanqing Wang;Ke Xu;Jianbin Qiu
Huanqing Wang;Peng Shi;Hongyi Li;Qi Zhou
Huanqing Wang;Xiaoping Liu;Kefu Liu
Ben Niu;Hamid Reza Karimi;Huanqing Wang;Yanli Liu
Huanqing Wang;Peter Xiaoping Liu;Jialei Bao;Xue-Jun Xie
Huanqing Wang;Huanqing Wang;Bing Chen;Xiaoping Liu;Kefu Liu
Huanqing Wang;Peter Xiaoping Liu;Peng Shi
Huanqing Wang;Wenxin Liu;Jianbin Qiu;Peter Xiaoping Liu
Unknown
Unknown
Huan-qing Wang;Huan-qing Wang;Bing Chen;Chong Lin
Song Ling;Huanqing Wang;Peter X. Liu
Huanqing Wang;Peter Xiaoping Liu;Ben Niu
Huanqing Wang;Peter Xiaoping Liu;Shuai Li;Ding Wang
Shuai Li;Huanqing Wang;Muhammad Usman Rafique
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