Chin-Long Chen
Impact in
- Hardware and Architecture top 5%
- VLSI and Analog Circuit Testing
- Artificial Intelligence top 5%
- Coding theory and cryptography
- Advanced Clustering Algorithms Research
Papers in
-
- Coding theory and cryptography 10
- Quantum Computing Algorithms and Architecture 2
-
- Quantum-Dot Cellular Automata 3
- Co-authors
- Tang (1 shared paper)Chung-Chian Hsu (1 shared paper)Yu‐Wei Su (1 shared paper)Neil J.A. Sloane (1 shared paper)R. Rudduck (1 shared paper)Chang Chang (1 shared paper)Robert Tien-Wen Chien (1 shared paper)
- Journals
- IEEE Transactions on Information Theory (13 papers)IEEE Transactions on Computers (3 papers)Information Sciences (1 paper)IRE Transactions on Antennas and Propagation (1 paper)
- Partner nations
- United StatesTaiwan
In The Last Decade
Chin-Long Chen
17 papers receiving 434 citations
Peers
Comparison fields: 5 of 55
- Hardware and Architecture 103
- Artificial Intelligence 280
- Computer Networks and Communications 153
- Computational Theory and Mathematics 100
- Discrete Mathematics and Combinatorics 19
Countries citing papers authored by Chin-Long Chen
This map shows the geographic impact of Chin-Long 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 Chin-Long Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chin-Long Chen more than expected).
Fields of papers citing papers by Chin-Long Chen
This network shows the impact of papers produced by Chin-Long 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 Chin-Long Chen. The network helps show where Chin-Long Chen may publish in the future.
Co-authors
The 7 scholars most cited alongside Chin-Long Chen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 77 | |
| 2 | 1972 | 71 | |
| 3 | 1984 | 69 | |
| 4 | 1983 | 44 | |
| 5 | 1970 | 38 | |
| 6 | 1978 | 31 | |
| 7 | 1981 | 26 | |
| 8 | 1986 | 26 | |
| 9 | 1976 | 25 | |
| 10 | 1982 | 24 | |
| 11 | 1978 | 14 | |
| 12 | 1971 | 9 | |
| 13 | 1972 | 9 | |
| 14 | 1973 | 3 | |
| 15 | 1985 | 2 | |
| 16 | 1976 | 1 | |
| 17 | 1976 | 1 | |
| 18 | 1976 | 0 |
About Chin-Long Chen
Chin-Long Chen is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Computer Networks and Communications, Hardware and Architecture and Electrical and Electronic Engineering, having authored 18 papers that have together received 470 indexed citations. Recurring topics across this work include Coding theory and cryptography (10 papers), Advanced Data Storage Technologies (3 papers), Radiation Effects in Electronics (3 papers), graph theory and CDMA systems (3 papers), VLSI and Analog Circuit Testing (3 papers), Quantum-Dot Cellular Automata (3 papers), Error Correcting Code Techniques (2 papers) and Quantum Computing Algorithms and Architecture (2 papers). The work is most often cited by research in Hardware and Architecture (103 citations), Artificial Intelligence (280 citations), Computer Networks and Communications (153 citations), Computational Theory and Mathematics (100 citations) and Discrete Mathematics and Combinatorics (19 citations). Chin-Long Chen has collaborated with scholars based in United States and Taiwan. Frequent co-authors include Tang, Chung-Chian Hsu, Yu‐Wei Su, Neil J.A. Sloane, R. Rudduck, Chang Chang and Robert Tien-Wen Chien. Their work appears in journals such as IEEE Transactions on Information Theory, IEEE Transactions on Computers, Information Sciences and IRE Transactions on Antennas and Propagation.
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.