The chart shows the distribution of publications by all Research.com ranked scientists in the field of Mathematics in 2026. The highlighted bar marks where Jianwen Feng sits on this spectrum.
This scientist: 125 publications — 23rd percentile
23% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 537 publications or more.
The chart shows the D-index (discipline H-index) distribution of Mathematics scientists ranked by Research.com in 2026. The highlighted bar marks where Jianwen Feng sits on this spectrum.
This scientist: 33 D-Index — 17th percentile
17% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 86 D-Index or more.
Jianwen Feng is a researcher affiliated with Shenzhen University in China, specializing in fields related to Computer Science and Engineering. Their work spans numerous subfields including Computer Networks and Communications, Statistical and Nonlinear Physics, Control and Systems Engineering, Electrical and Electronic Engineering, and Molecular Biology.
The main topics of their research focus include Neural Networks Stability and Synchronization, Nonlinear Dynamics and Pattern Formation, Distributed Control of Multi-Agent Systems, stochastic dynamics and bifurcation, Stability and Control of Uncertain Systems, Advanced Memory and Neural Computing, and Mathematical and Theoretical Epidemiology and Ecology Models.
Their publication record includes numerous papers in various peer-reviewed journals, with notable papers including:
Feng frequently publishes in the following venues:
Collaborations form a significant part of Feng's scientific output. Frequent co-authors include Jingyi Wang, Yi Zhao, Ze Tang, Ju H. Park, and Jiayi Cai, each with multiple joint publications contributing to various research projects across the listed topics and fields.
Jianwen Feng's research contributions encompass a substantial number of publications, with over 130 papers concentrated in computer science and 41 in engineering. The integration of theoretical and applied approaches is evident in their focus on complex network dynamics, control strategies for multi-agent systems, and the stability analysis of neural networks.
The collection of research work and collaborations positions Feng as a contributor to ongoing developments within network science, nonlinear dynamics, and control systems engineering, reflected by the interdisciplinary nature of their publications and collaborative efforts.
Chen Xu;Xinsong Yang;Jianquan Lu;Jianwen Feng
Ze Tang;Ju H. Park;Jianwen Feng
Jianwen Feng;Pan Yang;Yi Zhao
Wanli Zhang;Xinsong Yang;Chen Xu;Jianwen Feng
Jingyi Wang;Jianwen Feng;Chen Xu;Yi Zhao
Xinsong Yang;Zhiguo Feng;Jianwen Feng;Jinde Cao
Xiaoli Ruan;Jianwen Feng;Chen Xu;Jingyi Wang
Chao Zhou;Wanli Zhang;Xinsong Yang;Chen Xu
Na Li;Xiaoqun Wu;Jianwen Feng;Jinhu Lu
XinSong Yang;JinDe Cao;Chen Xu;JianWen Feng
Ze Tang;Ju H. Park;Yan Wang;Jianwen Feng
Ze Tang;Ju H Park;Tae-Hee Lee;Jianwen Feng
Jingyi Wang;Jianwen Feng;Chen Xu;Yi Zhao
Ze Tang;Ju H. Park;Jianwen Feng
Jingyi Wang;Jianwen Feng;Chen Xu;Michael Z.Q. Chen
Jiamu Zhou;Hailing Dong;Jianwen Feng
Jianwen Feng;Fenfen Yu;Yi Zhao
Chengbo Yi;Jianwen Feng;Jingyi Wang;Chen Xu
Ze Tang;Ju H. Park;Yan Wang;Jianwen Feng
Jianwen Feng;Ze Tang;Yi Zhao;Chen Xu
Jianwen Feng;Shaohui Sun;Chen Xu;Yi Zhao
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