Jyh-Sheng Ke
- Computational Theory and Mathematics top 2%
- Artificial Intelligence top 10%
- Management Information Systems top 5%
- Computer Networks and Communications top 10%
- Management Science and Operations Research top 10%
- Co-authors
- Shyi‐Ming ChenJin‐Fu ChangShi-Kuo Chang
- Topics
- Rough Sets and Fuzzy Logic (4 papers)Fuzzy Logic and Control Systems (4 papers)Advanced Database Systems and Queries (3 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceIEEE Transactions on Software EngineeringIEEE Transactions on Knowledge and Data Engineering
- Partner nations
- TaiwanUnited States
In The Last Decade
Jyh-Sheng Ke
11 papers receiving 433 citations
Peers
Comparison fields: 5 of 53
- Computational Theory and Mathematics 261
- Artificial Intelligence 196
- Management Information Systems 141
- Computer Networks and Communications 99
- Management Science and Operations Research 73
Countries citing papers authored by Jyh-Sheng Ke
This map shows the geographic impact of Jyh-Sheng Ke'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 Jyh-Sheng Ke with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jyh-Sheng Ke more than expected).
Fields of papers citing papers by Jyh-Sheng Ke
This network shows the impact of papers produced by Jyh-Sheng Ke. 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 Jyh-Sheng Ke. The network helps show where Jyh-Sheng Ke may publish in the future.
Co-authorship network of co-authors of Jyh-Sheng Ke
This figure shows the co-authorship network connecting the top 25 collaborators of Jyh-Sheng Ke. A scholar is included among the top collaborators of Jyh-Sheng Ke based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jyh-Sheng Ke. Jyh-Sheng Ke is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | Fuzzy reasoning based on fuzzy Petri nets | 2 |
| 5 | 5 | |
| 6 | 4 | |
| 7 | 10 | |
| 8 | 8 | |
| 9 | 372 | |
| 10 | 33 | |
| 11 | 26 | |
| 12 | Database modeling techniques with application to fuzzy query translation. | 1 |
About Jyh-Sheng Ke
Jyh-Sheng Ke is a scholar working on Computational Theory and Mathematics, Signal Processing and Artificial Intelligence, having authored 12 papers that have together received 463 indexed citations. Recurring topics across this work include Rough Sets and Fuzzy Logic (4 papers), Fuzzy Logic and Control Systems (4 papers) and Advanced Database Systems and Queries (3 papers). The work is most often cited by research in Computational Theory and Mathematics (261 citations), Management Information Systems (141 citations) and Artificial Intelligence (196 citations). Jyh-Sheng Ke has collaborated with scholars based in Taiwan and United States. Frequent co-authors include Shyi‐Ming Chen, Jin‐Fu Chang and Shi-Kuo Chang. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Software Engineering and IEEE Transactions on Knowledge and Data Engineering.
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.