C.S. Chen

11 papers receiving 333 citations

Peers

C.S. Chen
Comparison fields: 5 of 56
  • Human-Computer Interaction 55
  • Control and Systems Engineering 169
  • Computer Vision and Pattern Recognition 145
  • Signal Processing 58
  • Artificial Intelligence 120
Replace Yangsheng Xu with:
Yangsheng Xu Hong Kong
Eduardo Oliveira Freire Brazil
Gang Qian United States
Haris Baltzakis Greece
Daehyung Park United States
Claudia Pérez-D’Arpino United States
Juan Rojas China
Garratt Gallagher United States
Uipil Chong South Korea
T. Hori Japan
C.S. Chen relative to Yangsheng Xu Hong Kong Yangsheng Xu's profile →
Citations per field
00.5×1.5×2.1×
Yangsheng Xu · 1×
Citations per year

Countries citing papers authored by C.S. Chen

Since Specialization
Citations

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

Fields of papers citing papers by C.S. Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 9 scholars most cited alongside C.S. 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 C.S. Chen Line = papers co-authored together C.S. Chen links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 1997183
2 1994146
3 199015
4 199110
5 19837
6 20026
7 19935
8 19915
9 19914
10 19922
11 19801
12 20030
13 19900
14 20030

About C.S. Chen

C.S. Chen is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence, Computer Networks and Communications, Signal Processing and Computer Vision and Pattern Recognition, having authored 14 papers that have together received 384 indexed citations. Recurring topics across this work include Speech and Audio Processing (3 papers), Coding theory and cryptography (3 papers), Advanced Adaptive Filtering Techniques (3 papers), Analog and Mixed-Signal Circuit Design (2 papers), Advanced Electrical Measurement Techniques (2 papers), Error Correcting Code Techniques (2 papers), Sensor Technology and Measurement Systems (2 papers) and Robot Manipulation and Learning (2 papers). The work is most often cited by research in Human-Computer Interaction (55 citations), Control and Systems Engineering (169 citations), Computer Vision and Pattern Recognition (145 citations), Signal Processing (58 citations) and Artificial Intelligence (120 citations). C.S. Chen has collaborated with scholars based in United States, Canada and Australia. Frequent co-authors include Yangsheng Xu, Jie Yang, Yangsheng Xu, Jie Yang, Fikret Gürgen, K. Gopalan, Jing Yuan, Jie Yang and Hua Zhou. Their work appears in journals such as Journal of the Franklin Institute, IEEE Transactions on Robotics and Automation, IEEE Transactions on Systems Man and Cybernetics - Part A Systems and Humans, IEEE Transactions on Industrial Electronics and IEE Proceedings I Communications Speech and Vision.

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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