Gang Chen

3.5k citations
340 papers · 2.4k indexed · h-index 23

Gang Chen

303 papers receiving 2.3k citations

Peers

Gang Chen
Comparison fields: 5 of 145
  • Computer Vision and Pattern Recognition 639
  • Control and Systems Engineering 716
  • Aerospace Engineering 511
  • Mechanical Engineering 513
  • Signal Processing 138
Replace Yuan F. Zheng with:
Yuan F. Zheng United States
Hui Cheng China
Bing Xiao China
Jon Rigelsford United Kingdom
Fakhreddine Karray Canada
Frank C. Park South Korea
Luca Iocchi Italy
Ville Kyrki Finland
Vijanth Sagayan Asirvadam Malaysia
Gang Chen relative to Yuan F. Zheng United States Yuan F. Zheng's profile →
Citations per field
00.5×5.6×
Yuan F. Zheng · 1×
Citations per year

Countries citing papers authored by Gang Chen

Since Specialization
Citations

This map shows the geographic impact of Gang Chen'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 Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gang Chen more than expected).

Fields of papers citing papers by Gang Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gang Chen. 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 Chen. The network helps show where Gang Chen may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Gang Chen, 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 Chen Line = papers co-authored together Gang Chen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20252
3 20251
4 20252
5 20251
6 202417
7 20247
8 20244
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11 20236
12 202310
13 20234
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17
Optimized multicast scheduling in datacenter optical burst ring network
20161
18 20156
19
A LEGO/FPGA-Based Platform for the Education of Cyber-Physical/Embedded Systems
20131
20
Structure and Luminescence Characteristics of Europium Activated Strontium Silicates Sr(Eu ,Bi)SiO3 and Sr(Eu ,Bi)2SiO4
20031

About Gang Chen

Gang Chen is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition and Aerospace Engineering, having authored 340 papers that have together received 2.4k indexed citations. Recurring topics across this work include Space Satellite Systems and Control (63 papers), Robotic Path Planning Algorithms (43 papers), Robot Manipulation and Learning (28 papers), Robotic Mechanisms and Dynamics (28 papers), Teleoperation and Haptic Systems (17 papers), Simulation and Modeling Applications (15 papers), Dynamics and Control of Mechanical Systems (14 papers) and Modular Robots and Swarm Intelligence (13 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (639 citations), Control and Systems Engineering (716 citations) and Aerospace Engineering (511 citations). Gang Chen has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Qingxuan Jia, Hanxu Sun, Long Zhang, Dan Liu, Bo Jin, Ying Chen, Yifan Wang, Gang Wang, Ning Luo and Tong Li. Their work appears in journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Journal of Applied Physics.

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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