Fun Ye
Impact in
- Artificial Intelligence top 5%
- Metaheuristic Optimization Algorithms Research
- Advanced Clustering Algorithms Research
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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)Shiann‐Tsong Sheu (3 shared papers)Jenhui Chen (3 shared papers)Jen‐Shiun Chiang (3 shared papers)Ying-Tung Hsiao (1 shared paper)Chih‐Hsien Hsia (2 shared papers)
- Journals
- Journal of marine science and technology (1 paper)Expert Systems with Applications (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 330 citations
Peers
Comparison fields: 5 of 67
- Artificial Intelligence 217
- Computer Vision and Pattern Recognition 104
- Computer Networks and Communications 54
- Signal Processing 25
- Control and Systems Engineering 43
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 | 169 | |
| 2 | 2005 | 59 | |
| 3 | 2005 | 41 | |
| 4 | Particle swarm optimization algorithm and its application to clustering analysis | 2012 | 22 |
| 5 | 2003 | 22 | |
| 6 | 2003 | 12 | |
| 7 | 2006 | 11 | |
| 8 | 2007 | 9 | |
| 9 | 2004 | 5 | |
| 10 | 2003 | 4 | |
| 11 | 2007 | 4 | |
| 12 | 2009 | 4 | |
| 13 | 2009 | 3 | |
| 14 | 2008 | 1 | |
| 15 | 2002 | 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 367 indexed citations. Recurring topics across this work include Face and Expression Recognition (4 papers), Advanced Clustering Algorithms Research (4 papers), Metaheuristic Optimization Algorithms Research (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 Complex Network Analysis Techniques (1 paper). The work is most often cited by research in Artificial Intelligence (217 citations), Computer Vision and Pattern Recognition (104 citations), Computer Networks and Communications (54 citations), Signal Processing (25 citations) and Control and Systems Engineering (43 citations). Fun Ye has collaborated with scholars based in Taiwan. Frequent co-authors include Ching‐Yi Chen, Ching‐Yi Chen, Hsuan-Ming Feng, Shiann‐Tsong Sheu, Jenhui Chen, Jen‐Shiun Chiang, Ying-Tung Hsiao, Chih‐Hsien Hsia and Chun-Wen Chen. Their work appears in journals such as Journal of marine science and technology, Expert Systems with Applications, 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.