Gang Feng

41.7k citations
843 papers · 32.5k indexed · 24 hit papers · h-index 91

Gang Feng

793 papers receiving 31.7k citations

Hit Papers

Resilient Coop...1492004202620112018100200300400500

Peers

Gang Feng
Comparison fields: 5 of 185
  • Control and Systems Engineering 21.8k
  • Computer Networks and Communications 16.9k
  • Computational Theory and Mathematics 3.9k
  • Statistical and Nonlinear Physics 2.6k
  • Artificial Intelligence 5.6k
Replace Hamid Reza Karimi with:
Hamid Reza Karimi China
Ligang Wu China
Qing‐Long Han Australia
James Lam Hong Kong
Daniel W. C. Ho Hong Kong
Huaguang Zhang China
Min Wu China
Tingwen Huang China
Fuad E. Alsaadi Saudi Arabia
Jean-Jacques Slotine United States
Gang Feng relative to Hamid Reza Karimi China Hamid Reza Karimi's profile →
Citations per field
00.5×1.7×
Hamid Reza Karimi · 1×
Citations per year

Countries citing papers authored by Gang Feng

Since Specialization
Citations

This map shows the geographic impact of Gang Feng's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Gang Feng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gang Feng more than expected).

Fields of papers citing papers by Gang Feng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gang Feng. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Gang Feng. The network helps show where Gang Feng may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Gang Feng, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Gang Feng Line = papers co-authored together Gang Feng links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 202418
3 20247
4 20244
5 20240
6 20240
7 20241
8 20231
9 20230
10 20235
11 20222
12 202214
13 202143
14 201966
15 2018114
16 20155
17
Stability analysis of two-dimensional switched systems with unstable subsystems
20113
18
On the Performance of Heuristic H MCOP for Multi-Constrained Optimal-Path QoS Routing
20043
19
Can the visual input make the audio signal "pop out" in noise ? a first study of the enhancement of noisy VCV acoustic sequences by audio-visual fusion.
19973
20 19941

About Gang Feng

Gang Feng is a scholar working on Control and Systems Engineering, Computer Networks and Communications and Artificial Intelligence, having authored 843 papers that have together received 32.5k indexed citations. Recurring topics across this work include Stability and Control of Uncertain Systems (281 papers), Adaptive Control of Nonlinear Systems (230 papers), Neural Networks Stability and Synchronization (200 papers), Distributed Control Multi-Agent Systems (184 papers), Fuzzy Logic and Control Systems (99 papers), Advanced Control Systems Optimization (75 papers), Neural Networks and Applications (56 papers) and Stability and Controllability of Differential Equations (55 papers). The work is most often cited by research in Control and Systems Engineering (21.8k citations), Computer Networks and Communications (16.9k citations) and Computational Theory and Mathematics (3.9k citations). Gang Feng has collaborated with scholars based in Hong Kong, China and Australia. Frequent co-authors include Lu Liu, Jianbin Qiu, N.W. Rees, S.G. Cao, Tieshan Li, Yong Wang, Wenfeng Hu, Shaocheng Tong, Zhong‐Ping Jiang and Yongming Li. Their work appears in journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and IEEE Transactions on Automatic Control.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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