Jin Ye
Impact in
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- Rough Sets and Fuzzy Logic
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- Multi-Criteria Decision Making
Papers in
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- Rough Sets and Fuzzy Logic 16
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- AI in cancer detection 3
- Co-authors
- Jianming Zhan (7 shared papers)Weiping Ding (3 shared papers)Пэйдэ Лю (1 shared paper)Bingzhen Sun (13 shared papers)Hamido Fujita (2 shared papers)Xiaoli Chu (6 shared papers)Xiaoqing Ye (2 shared papers)Wenhao Wu (2 shared papers)
- Journals
- Information Sciences (5 papers)IEEE Transactions on Fuzzy Systems (2 papers)Expert Systems with Applications (2 papers)Applied Intelligence (1 paper)Engineering Applications of Artificial Intelligence (1 paper)
- Partner nations
- ChinaUnited StatesVietnam
In The Last Decade
Jin Ye
37 papers receiving 591 citations
Peers
Comparison fields: 5 of 68
- Computational Theory and Mathematics 344
- Management Science and Operations Research 261
- Artificial Intelligence 233
- Signal Processing 63
- Computer Vision and Pattern Recognition 117
Countries citing papers authored by Jin Ye
This map shows the geographic impact of Jin Ye'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 Jin Ye with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jin Ye more than expected).
Fields of papers citing papers by Jin Ye
This network shows the impact of papers produced by Jin Ye. 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 Jin Ye. The network helps show where Jin Ye may publish in the future.
Co-authors
The 25 scholars most cited alongside Jin Ye, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 161 | |
| 2 | 2020 | 120 | |
| 3 | 2021 | 42 | |
| 4 | 2023 | 35 | |
| 5 | 2021 | 24 | |
| 6 | 2022 | 23 | |
| 7 | 2021 | 23 | |
| 8 | 2022 | 21 | |
| 9 | 2022 | 21 | |
| 10 | 2021 | 19 | |
| 11 | 2023 | 18 | |
| 12 | 2023 | 16 | |
| 13 | 2019 | 13 | |
| 14 | 2008 | 9 | |
| 15 | 2020 | 7 | |
| 16 | Research on non-functional conditions-based Web services selection in Web services automation | 2006 | 5 |
| 17 | 2024 | 5 | |
| 18 | 2008 | 5 | |
| 19 | 2018 | 5 | |
| 20 | 2025 | 5 |
About Jin Ye
Jin Ye is a scholar working on Computational Theory and Mathematics, Artificial Intelligence, Computer Vision and Pattern Recognition, Management Science and Operations Research and Information Systems, having authored 40 papers that have together received 615 indexed citations. Recurring topics across this work include Rough Sets and Fuzzy Logic (16 papers), Multi-Criteria Decision Making (11 papers), Data Mining Algorithms and Applications (8 papers), Advanced Neural Network Applications (3 papers), Multimodal Machine Learning Applications (3 papers), AI in cancer detection (3 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and Network Traffic and Congestion Control (3 papers). The work is most often cited by research in Computational Theory and Mathematics (344 citations), Management Science and Operations Research (261 citations), Artificial Intelligence (233 citations), Signal Processing (63 citations) and Computer Vision and Pattern Recognition (117 citations). Jin Ye has collaborated with scholars based in China, United States and Vietnam. Frequent co-authors include Jianming Zhan, Weiping Ding, Пэйдэ Лю, Bingzhen Sun, Hamido Fujita, Xiaoli Chu, Xiaoqing Ye, Wenhao Wu, Zhikang Zou and Yingying Li. Their work appears in journals such as Information Sciences, IEEE Transactions on Fuzzy Systems, Expert Systems with Applications, Applied Intelligence and Engineering Applications of Artificial Intelligence.
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.