Kun-Ming Yu
Impact in
- Signal Processing top 5%
- Music and Audio Processing
- Speech and Audio Processing
- Data Management and Algorithms
- Information Systems top 5%
- Data Mining Algorithms and Applications
Papers in
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- Mobile Ad Hoc Networks 5
- Distributed and Parallel Computing Systems 5
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- Imbalanced Data Classification Techniques 7
- Co-authors
- Chang-Hsing Lee (4 shared papers)Jau-Ling Shih (4 shared papers)Jiayi Zhou (6 shared papers)Tzung‐Pei Hong (4 shared papers)Chang Wu Yu (9 shared papers)Jialing Zhou (2 shared papers)Jiayi Zhou (3 shared papers)Zhou Hong (3 shared papers)
In The Last Decade
Kun-Ming Yu
59 papers receiving 530 citations
Peers
Comparison fields: 5 of 81
- Signal Processing 188
- Information Systems 161
- Computer Networks and Communications 141
- Computer Vision and Pattern Recognition 126
- Developmental Biology 12
Countries citing papers authored by Kun-Ming Yu
This map shows the geographic impact of Kun-Ming Yu'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 Kun-Ming Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kun-Ming Yu more than expected).
Fields of papers citing papers by Kun-Ming Yu
This network shows the impact of papers produced by Kun-Ming Yu. 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 Kun-Ming Yu. The network helps show where Kun-Ming Yu may publish in the future.
Co-authors
The 25 scholars most cited alongside Kun-Ming Yu, 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 64 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 103 | |
| 2 | 2010 | 37 | |
| 3 | 2009 | 34 | |
| 4 | 2009 | 30 | |
| 5 | 2007 | 29 | |
| 6 | 1998 | 28 | |
| 7 | 2021 | 19 | |
| 8 | 2018 | 19 | |
| 9 | 2008 | 18 | |
| 10 | 2009 | 16 | |
| 11 | 2008 | 14 | |
| 12 | 2011 | 13 | |
| 13 | 2015 | 13 | |
| 14 | 2009 | 12 | |
| 15 | 2008 | 12 | |
| 16 | 2013 | 11 | |
| 17 | 2015 | 10 | |
| 18 | 2011 | 9 | |
| 19 | 2008 | 9 | |
| 20 | 2017 | 9 |
About Kun-Ming Yu
Kun-Ming Yu is a scholar working on Computer Networks and Communications, Artificial Intelligence, Information Systems, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition, having authored 64 papers that have together received 573 indexed citations. Recurring topics across this work include Data Mining Algorithms and Applications (12 papers), Rough Sets and Fuzzy Logic (9 papers), Indoor and Outdoor Localization Technologies (8 papers), Imbalanced Data Classification Techniques (7 papers), Mobile Ad Hoc Networks (5 papers), Distributed and Parallel Computing Systems (5 papers), Evacuation and Crowd Dynamics (5 papers) and Cloud Computing and Resource Management (4 papers). The work is most often cited by research in Signal Processing (188 citations), Information Systems (161 citations), Computer Networks and Communications (141 citations), Computer Vision and Pattern Recognition (126 citations) and Developmental Biology (12 citations). Kun-Ming Yu has collaborated with scholars based in Taiwan, China and Lithuania. Frequent co-authors include Chang-Hsing Lee, Jau-Ling Shih, Jiayi Zhou, Tzung‐Pei Hong, Chang Wu Yu, Jialing Zhou, Jiayi Zhou, Zhou Hong, Shifeng Yan and Wen Ouyang. Their work appears in journals such as Wireless Personal Communications, Expert Systems with Applications, Journal of Parallel and Distributed Computing, IEEE Access and IEEE Transactions on Multimedia.
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.