Tse Min Chen

516 citations
23 papers · 379 · h-index 11

Impact in

Papers in

Tse Min Chen

21 papers receiving 330 citations

Peers

Tse Min Chen
Comparison fields: 5 of 49
  • Human-Computer Interaction 61
  • Control and Systems Engineering 192
  • Computer Vision and Pattern Recognition 109
  • Computer Networks and Communications 84
  • Mechanical Engineering 115
Replace Chris Scrapper with:
Chris Scrapper United States
Ken Conley Japan
Georg Färber Germany
Erick J. Rodríguez-Seda United States
Young-Jo Cho South Korea
Mark Brudnak United States
Daniel Cagigas-Muñiz Spain
Juan Aparicio Ojea United States
Adrian Boeing Australia
Alexander Ferrein Germany
Tse Min Chen relative to Chris Scrapper United States Chris Scrapper's profile →
Citations per field
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Citations per year

Countries citing papers authored by Tse Min Chen

Since Specialization
Citations

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

Fields of papers citing papers by Tse Min Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 8 scholars most cited alongside Tse Min 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 Tse Min Chen Line = papers co-authored together Tse Min Chen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000101
2 200148
3 200046
4 200223
5 200322
6 200217
7 200315
8 200215
9 200314
10 200212
11 200210
12 20039
13 20039
14
Multilevel Multiagent Based Team Decision Fusion for Autonomous Tracking System
19999
15 20028
16 20034
17 20024
18 20024
19 20023
20 20023

About Tse Min Chen

Tse Min Chen is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition, Artificial Intelligence, Mechanical Engineering and Computer Networks and Communications, having authored 23 papers that have together received 379 indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (8 papers), Teleoperation and Haptic Systems (7 papers), Robotics and Automated Systems (7 papers), Reinforcement Learning in Robotics (4 papers), Cognitive Science and Mapping (4 papers), Fuzzy Logic and Control Systems (3 papers), Modular Robots and Swarm Intelligence (3 papers) and Elevator Systems and Control (3 papers). The work is most often cited by research in Human-Computer Interaction (61 citations), Control and Systems Engineering (192 citations), Computer Vision and Pattern Recognition (109 citations), Computer Networks and Communications (84 citations) and Mechanical Engineering (115 citations). Tse Min Chen has collaborated with scholars based in Taiwan. Frequent co-authors include Ren Luo, R.C. Luo, R.C. Luo, Kuo Su, Ren C. Luo, Chih‐Chen Yih, Meng-Hsien Lin and Chao Ren. Their work appears in journals such as Computer Standards & Interfaces, IEEE Transactions on Systems Man and Cybernetics - Part A Systems and Humans, IEEE Transactions on Industrial Electronics and IEEE/ASME Transactions on Mechatronics.

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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