Fun Ye
Impact in
- Artificial Intelligence top 5%
- Metaheuristic Optimization Algorithms Research
- Advanced Clustering Algorithms Research
- Evolutionary Algorithms and Applications
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- Face and Expression Recognition
- Advanced Data Compression Techniques
Papers in
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- Face and Expression Recognition 4
- Advanced Data Compression Techniques 2
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- Wireless Networks and Protocols 3
- Mobile Ad Hoc Networks 3
- Cooperative Communication and Network Coding 2
- Co-authors
- Ching‐Yi Chen (4 shared papers)Ching‐Yi Chen (3 shared papers)Hsuan-Ming Feng (4 shared papers)Jenhui Chen (3 shared papers)Shiann‐Tsong Sheu (3 shared papers)Jen‐Shiun Chiang (3 shared papers)Chih‐Hsien Hsia (2 shared papers)Ying-Tung Hsiao (1 shared paper)
- Journals
- Expert Systems with Applications (1 paper)Journal of marine science and technology (1 paper)Cybernetics & Systems (2 papers)Tamkang University Institutional Repository (TKUIR) (1 paper)Journal of Applied Science and Engineering (2 papers)
- Partner nations
- Taiwan
In The Last Decade
Fun Ye
15 papers receiving 385 citations
Peers
Comparison fields: 5 of 69
- Artificial Intelligence 257
- Computer Vision and Pattern Recognition 121
- Signal Processing 30
- Computer Networks and Communications 57
- Control and Systems Engineering 48
Countries citing papers authored by Fun Ye
This map shows the geographic impact of Fun 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 Fun Ye with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fun Ye more than expected).
Fields of papers citing papers by Fun Ye
This network shows the impact of papers produced by Fun 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 Fun Ye. The network helps show where Fun Ye may publish in the future.
Co-authors
The 9 scholars most cited alongside Fun 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
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 203 | |
| 2 | 2005 | 71 | |
| 3 | 2005 | 47 | |
| 4 | Particle swarm optimization algorithm and its application to clustering analysis | 2012 | 26 |
| 5 | 2003 | 24 | |
| 6 | 2003 | 11 | |
| 7 | 2006 | 11 | |
| 8 | 2007 | 10 | |
| 9 | 2009 | 5 | |
| 10 | 2004 | 5 | |
| 11 | 2003 | 4 | |
| 12 | 2007 | 4 | |
| 13 | 2009 | 3 | |
| 14 | 2002 | 1 | |
| 15 | 2008 | 1 |
About Fun Ye
Fun Ye is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications, Artificial Intelligence, Electrical and Electronic Engineering and Biomedical Engineering, having authored 15 papers that have together received 426 indexed citations. Recurring topics across this work include Advanced Clustering Algorithms Research (4 papers), Metaheuristic Optimization Algorithms Research (4 papers), Face and Expression Recognition (4 papers), Wireless Networks and Protocols (3 papers), Mobile Ad Hoc Networks (3 papers), Cooperative Communication and Network Coding (2 papers), Advanced Data Compression Techniques (2 papers) and Analog and Mixed-Signal Circuit Design (1 paper). The work is most often cited by research in Artificial Intelligence (257 citations), Computer Vision and Pattern Recognition (121 citations), Signal Processing (30 citations), Computer Networks and Communications (57 citations) and Control and Systems Engineering (48 citations). Fun Ye has collaborated with scholars based in Taiwan. Frequent co-authors include Ching‐Yi Chen, Ching‐Yi Chen, Hsuan-Ming Feng, Jenhui Chen, Shiann‐Tsong Sheu, Jen‐Shiun Chiang, Chih‐Hsien Hsia, Ying-Tung Hsiao and Chun-Wen Chen. Their work appears in journals such as Expert Systems with Applications, Journal of marine science and technology, Cybernetics & Systems, Tamkang University Institutional Repository (TKUIR) and Journal of Applied Science and 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.