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 Wenwu Yu sits on this spectrum.
This scientist: 283 publications — 53rd percentile
53% 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 Wenwu Yu sits on this spectrum.
This scientist: 82 D-Index — 94th percentile
94% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 111 D-Index or more.
Wenwu Yu is affiliated with Southeast University in China and has an extensive research portfolio primarily in computer science and engineering. Their work spans several interconnected subfields including computer networks and communications, control and systems engineering, electrical and electronic engineering, artificial intelligence, and computer vision and pattern recognition.
The main topics covered in Wenwu Yu's research focus on distributed control of multi-agent systems, neural networks stability and synchronization, adaptive control of nonlinear systems, stability and control of uncertain systems, adaptive dynamic programming control, smart grid energy management, and mathematical and theoretical epidemiology and ecology models.
Wenwu Yu has contributed to various publication venues with a notable presence in IEEE journals and conferences. These venues include:
The scientist's recent significant papers include:
Wenwu Yu's collaborative network includes frequent coauthors such as:
These collaborators have contributed jointly on multiple publications, reflecting a sustained research partnership across various topics in control systems and multi-agent coordination.
Wenwu Yu's scholarly activity is characterized by a strong emphasis on distributed control mechanisms and adaptive methodologies in multi-agent and nonlinear system contexts. Their work contributes to the development of theoretical and practical frameworks addressing challenges in complex network dynamics and cooperative control.
Yongcan Cao;Wenwu Yu;Wei Ren;Guanrong Chen
Wenwu Yu;Guanrong Chen;Ming Cao
Wenwu Yu;Guanrong Chen;Jinhu Lü
Wenwu Yu;Guanrong Chen;Ming Cao;Jurgen Kurths
Guanghui Wen;Zhisheng Duan;Guanrong Chen;Wenwu Yu
Wenwu Yu;Wei Xing Zheng;Guanrong Chen;Wei Ren
Qiang Song;Qiang Song;Jinde Cao;Wenwu Yu;Wenwu Yu
Wenwu Yu;Guanrong Chen;Zidong Wang;Wen Yang
Wenwu Yu;Guanrong Chen;Ming Cao
Guanghui Wen;Yu Zhao;Zhisheng Duan;Wenwu Yu
Wenwu Yu;Wenwu Yu;Wei Ren;Wei Xing Zheng;Guanrong Chen
Wenwu Yu;P. DeLellis;Guanrong Chen;M. di Bernardo
Wenwu Yu;Guanrong Chen;Jinhu Lu;Juergen Kurths;Juergen Kurths
Chaojie Li;Xinghuo Yu;Wenwu Yu;Tingwen Huang
Wenwu Yu;Jinde Cao;Jinhu Lü
Guanghui Wen;Zhisheng Duan;Wenwu Yu;Guanrong Chen
Guanghui Wen;Zhisheng Duan;Wenwu Yu;Guanrong Chen
Wenwu Yu;Wenwu Yu;Guanrong Chen;Ming Cao
Wenwu Yu;Guanrong Chen;Wei Ren;Jürgen Kurths
Guanghui Wen;He Wang;Xinghuo Yu;Wenwu Yu
Renquan Lu;Wenwu Yu;Jinhu Lu;Anke Xue
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