Ming‐Tat Ko
Impact in
- Cancer Research top 2%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
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- Face and Expression Recognition
- Face recognition and analysis
Papers in
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- Interconnection Networks and Systems 6
- Network Traffic and Congestion Control 6
- Caching and Content Delivery 5
- Advanced Data Storage Technologies 5
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- Advanced Graph Theory Research 11
- Complexity and Algorithms in Graphs 8
- Co-authors
- Shu-Hwa Chen (4 shared papers)Chin-Wen Ho (4 shared papers)Chung‐Yen Lin (4 shared papers)Hong-Yuan Mark Liao (3 shared papers)Gwo‐Jong Yu (1 shared paper)Li‐Fen Chen (1 shared paper)Ja‐Chen Lin (1 shared paper)Jenn‐Kang Hwang (3 shared papers)
In The Last Decade
Ming‐Tat Ko
45 papers receiving 6.3k citations
Ming‐Tat Ko's Hit Papers
Peers
Comparison fields: 5 of 168
- Cancer Research 715
- Computer Vision and Pattern Recognition 1.0k
- Molecular Biology 2.4k
- Signal Processing 290
- Media Technology 236
Countries citing papers authored by Ming‐Tat Ko
This map shows the geographic impact of Ming‐Tat Ko'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 Ming‐Tat Ko with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming‐Tat Ko more than expected).
Fields of papers citing papers by Ming‐Tat Ko
This network shows the impact of papers produced by Ming‐Tat Ko. 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 Ming‐Tat Ko. The network helps show where Ming‐Tat Ko may publish in the future.
Co-authors
The 25 scholars most cited alongside Ming‐Tat Ko, 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 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | cytoHubba: identifying hub objects and sub-networks from complex interactome Hit paper breakdown → | 2014 | 4330 |
| 2 | A new LDA-based face recognition system which can solve the small sample size problem Hit paper breakdown → | 2000 | 1035 |
| 3 | 2007 | 287 | |
| 4 | 2008 | 223 | |
| 5 | 1997 | 83 | |
| 6 | 2004 | 56 | |
| 7 | 2004 | 53 | |
| 8 | 1998 | 48 | |
| 9 | 2005 | 43 | |
| 10 | 2010 | 38 | |
| 11 | 2002 | 31 | |
| 12 | 1996 | 29 | |
| 13 | 1999 | 23 | |
| 14 | 1995 | 22 | |
| 15 | 2000 | 15 | |
| 16 | 1999 | 12 | |
| 17 | 2002 | 12 | |
| 18 | Optimizations of Stored Vbr Video Transmission on Cbr Channel | 1997 | 12 |
| 19 | 1998 | 11 | |
| 20 | 2005 | 10 |
About Ming‐Tat Ko
Ming‐Tat Ko is a scholar working on Computer Networks and Communications, Computational Theory and Mathematics, Molecular Biology, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 48 papers that have together received 6.5k indexed citations. Recurring topics across this work include Advanced Graph Theory Research (11 papers), Complexity and Algorithms in Graphs (8 papers), Interconnection Networks and Systems (6 papers), Network Traffic and Congestion Control (6 papers), Caching and Content Delivery (5 papers), Algorithms and Data Compression (5 papers), Advanced Data Storage Technologies (5 papers) and Human Motion and Animation (4 papers). The work is most often cited by research in Cancer Research (715 citations), Computer Vision and Pattern Recognition (1.0k citations), Molecular Biology (2.4k citations), Signal Processing (290 citations) and Media Technology (236 citations). Ming‐Tat Ko has collaborated with scholars based in Taiwan, Singapore and Japan. Frequent co-authors include Shu-Hwa Chen, Chin-Wen Ho, Chung‐Yen Lin, Hong-Yuan Mark Liao, Gwo‐Jong Yu, Li‐Fen Chen, Ja‐Chen Lin, Jenn‐Kang Hwang, Chia‐Huei Chu and Tzong-Yi Lee. Their work appears in journals such as Algorithmica, Discrete Applied Mathematics, Computers & Graphics, Nucleic Acids Research and Proteins Structure Function and Bioinformatics.
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.