M.C.K. Yang
Impact in
- Software top 10%
- Software Reliability and Analysis Research
- Cognitive Neuroscience top 10%
- EEG and Brain-Computer Interfaces
- Sleep and Wakefulness Research
Papers in
-
- EEG and Brain-Computer Interfaces 4
- Sleep and Wakefulness Research 2
-
- Gene expression and cancer classification 3
- Bioinformatics and Genomic Networks 2
- Co-authors
- Thomas D. Sargent (1 shared paper)James C. Bonner (1 shared paper)Ismet Karacan (3 shared papers)J. R. Smith (3 shared papers)Jin‐Xiong She (3 shared papers)James J. Yang (2 shared papers)Richard McIndoe (2 shared papers)Anne Chao (1 shared paper)
- Journals
- IEEE Transactions on Pattern Analysis and Machine Intelligence (3 papers)Physiological Genomics (2 papers)Electroencephalography and Clinical Neurophysiology (2 papers)Scientific Reports (1 paper)Human Genetics (1 paper)
- Partner nations
- United StatesTaiwanItaly
In The Last Decade
M.C.K. Yang
19 papers receiving 591 citations
Peers
Comparison fields: 5 of 108
- Software 35
- Cognitive Neuroscience 136
- Statistics and Probability 33
- Periodontics 15
- Molecular Biology 226
Countries citing papers authored by M.C.K. Yang
This map shows the geographic impact of M.C.K. Yang'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 M.C.K. Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M.C.K. Yang more than expected).
Fields of papers citing papers by M.C.K. Yang
This network shows the impact of papers produced by M.C.K. Yang. 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 M.C.K. Yang. The network helps show where M.C.K. Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside M.C.K. Yang, 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 | 1981 | 182 | |
| 2 | 2001 | 90 | |
| 3 | 2010 | 62 | |
| 4 | 1977 | 62 | |
| 5 | 1997 | 40 | |
| 6 | 1995 | 36 | |
| 7 | 2003 | 30 | |
| 8 | 2000 | 24 | |
| 9 | 2004 | 21 | |
| 10 | 1979 | 20 | |
| 11 | 2010 | 19 | |
| 12 | 2009 | 18 | |
| 13 | 1976 | 9 | |
| 14 | 2024 | 8 | |
| 15 | 1994 | 7 | |
| 16 | 2011 | 5 | |
| 17 | 1989 | 3 | |
| 18 | 2002 | 2 | |
| 19 | 2024 | 1 |
About M.C.K. Yang
M.C.K. Yang is a scholar working on Cognitive Neuroscience, Molecular Biology, Computer Vision and Pattern Recognition, Information Systems and Signal Processing, having authored 19 papers that have together received 639 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (4 papers), Gene expression and cancer classification (3 papers), Blind Source Separation Techniques (2 papers), Sleep and Wakefulness Research (2 papers), Bioinformatics and Genomic Networks (2 papers), Software Reliability and Analysis Research (2 papers), Software Testing and Debugging Techniques (2 papers) and Risk and Safety Analysis (1 paper). The work is most often cited by research in Software (35 citations), Cognitive Neuroscience (136 citations), Statistics and Probability (33 citations), Periodontics (15 citations) and Molecular Biology (226 citations). M.C.K. Yang has collaborated with scholars based in United States, Taiwan and Italy. Frequent co-authors include Thomas D. Sargent, James C. Bonner, Ismet Karacan, J. R. Smith, Jin‐Xiong She, James J. Yang, Richard McIndoe, Anne Chao, Sarah Eckenrode and Qingguo Ruan. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Physiological Genomics, Electroencephalography and Clinical Neurophysiology, Scientific Reports and Human Genetics.
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.