M.C.K. Yang

829 total citations
27 papers, 643 citations indexed

About

M.C.K. Yang is a scholar working on Molecular Biology, Computer Vision and Pattern Recognition and Cognitive Neuroscience. According to data from OpenAlex, M.C.K. Yang has authored 27 papers receiving a total of 643 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Computer Vision and Pattern Recognition and 5 papers in Cognitive Neuroscience. Recurrent topics in M.C.K. Yang's work include EEG and Brain-Computer Interfaces (4 papers), Gene expression and cancer classification (3 papers) and Advanced Image Fusion Techniques (2 papers). M.C.K. Yang is often cited by papers focused on EEG and Brain-Computer Interfaces (4 papers), Gene expression and cancer classification (3 papers) and Advanced Image Fusion Techniques (2 papers). M.C.K. Yang collaborates with scholars based in United States, China and Taiwan. M.C.K. Yang's co-authors include James C. Bonner, Thomas D. Sargent, Ismet Karacan, J. R. Smith, Jin‐Xiong She, Richard McIndoe, James J. Yang, Anne Chao, Sarah Eckenrode and Shuisheng Wu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

M.C.K. Yang

23 papers receiving 594 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
M.C.K. Yang United States 12 241 144 50 48 43 27 643
Xin Zhou United States 20 428 1.8× 238 1.7× 82 1.6× 52 1.1× 21 0.5× 81 1.0k
Alain Giron France 18 389 1.6× 142 1.0× 83 1.7× 57 1.2× 44 1.0× 60 1.3k
Xinghu Zhang China 19 157 0.7× 111 0.8× 21 0.4× 12 0.3× 41 1.0× 109 1.2k
Vladimir Galatenko Russia 17 421 1.7× 52 0.4× 46 0.9× 17 0.4× 39 0.9× 62 805
Yanbo Xu China 13 352 1.5× 66 0.5× 23 0.5× 16 0.3× 36 0.8× 46 970
Vanathi Gopalakrishnan United States 18 455 1.9× 13 0.1× 17 0.3× 48 1.0× 47 1.1× 52 1.0k
Xiao Lei Zhang China 11 88 0.4× 177 1.2× 8 0.2× 23 0.5× 61 1.4× 19 607
Jan Luts Belgium 11 251 1.0× 54 0.4× 49 1.0× 85 1.8× 6 0.1× 20 813

Countries citing papers authored by M.C.K. Yang

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of M.C.K. Yang

This figure shows the co-authorship network connecting the top 25 collaborators of M.C.K. Yang. A scholar is included among the top collaborators of M.C.K. Yang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with M.C.K. Yang. M.C.K. Yang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Yang, M.C.K., et al.. (2025). Lightweight wavelet-CNN tea leaf disease detection. PLoS ONE. 20(5). e0323322–e0323322.
2.
Yang, M.C.K., et al.. (2025). High-sensitivity and rapid immunoassays for furosine detection based on monoclonal antibody 1C3. International Journal of Biological Macromolecules. 309(Pt 4). 143126–143126. 1 indexed citations
3.
Wang, Qing, et al.. (2025). Development of sensitive immunoassay for identification and detection of μ-KIIIA-CTX: Insights into antibody discovery, molecular recognition, and immunoassay. International Journal of Biological Macromolecules. 310(Pt 3). 143346–143346. 1 indexed citations
4.
5.
Yang, M.C.K.. (2025). Adaptive Recognition of English Translation Errors Based on Improved Machine Learning Methods. International Journal of High Speed Electronics and Systems. 34(4). 1 indexed citations
6.
Fu, Jun, Jie Yang, Ya Wang, et al.. (2024). SMRFnet: Saliency multi-scale residual fusion network for grayscale and pseudo color medical image fusion. Biomedical Signal Processing and Control. 100. 107050–107050.
7.
Yang, M.C.K., et al.. (2024). A Framework Based on Natural Language Processing for Risk Management in Engineering. SPIRE - Sciences Po Institutional REpository. 968–973.
8.
Yang, M.C.K., et al.. (2024). YOLOX target detection model can identify and classify several types of tea buds with similar characteristics. Scientific Reports. 14(1). 2855–2855. 8 indexed citations
9.
Yang, M.C.K., et al.. (2024). Natural language command parsing for agricultural measurement and control based on AMR and entity recognition. Journal of Intelligent & Fuzzy Systems. 49(1). 15–30. 1 indexed citations
10.
Shiau, Deng‐Shan, Jonathan J. Halford, Kevin M. Kelly, et al.. (2011). A signal regularity-based automated seizure prediction algorithm using long-term scalp EEG recordings. Cybernetics and Systems Analysis. 47(4). 586–597. 5 indexed citations
11.
Shiau, Deng‐Shan, et al.. (2010). Assessment of a scalp EEG-based automated seizure detection system. Clinical Neurophysiology. 121(11). 1832–1843. 61 indexed citations
12.
Wang, Xiaogang, et al.. (2010). Interval estimation for drop-the-losers designs. Biometrika. 97(2). 405–418. 19 indexed citations
13.
Liu, Xiaoxi & M.C.K. Yang. (2009). Identifying temporally differentially expressed genes through functional principal components analysis. Biostatistics. 10(4). 667–679. 18 indexed citations
14.
Karpinia, Katherine, I. Magnusson, Charles H. Gibbs, & M.C.K. Yang. (2004). Accuracy of probing attachment levels using a CEJ Probe versus traditional probes. Journal Of Clinical Periodontology. 31(3). 173–176. 21 indexed citations
15.
Yang, M.C.K., James J. Yang, Richard McIndoe, & Jin‐Xiong She. (2003). Microarray experimental design: power and sample size considerations. Physiological Genomics. 16(1). 24–28. 30 indexed citations
16.
Yang, M.C.K., W. Eric Wong, & Alberto Pasquini. (2002). Applying testability to reliability estimation. 90–99. 2 indexed citations
17.
Eckenrode, Sarah, Michele P. Marron, Robert D. Nicholls, et al.. (2000). Fine-mapping of the type 1 diabetes locus ( IDDM4 ) on chromosome 11q and evaluation of two candidate genes ( FADD and GALN ) by affected sibpair and linkage-disequilibrium analyses. Human Genetics. 106(1). 14–18. 24 indexed citations
18.
Yang, M.C.K., et al.. (1989). Image enhancement for segmentation by self-induced autoregressive filtering. IEEE Transactions on Pattern Analysis and Machine Intelligence. 11(6). 655–661. 3 indexed citations
19.
Smith, J. R., Ismet Karacan, & M.C.K. Yang. (1979). Automated Measurement of Alpha, Beta, Sigma, and Theta Burst. Characteristics. SLEEP. 1(4). 435–43. 20 indexed citations
20.
Smith, J. R., et al.. (1976). Automated sleep EEG analysis applied to the evaluation of drugs: illustration by study of clorazepate dipotassium. Electroencephalography and Clinical Neurophysiology. 41(6). 587–594. 9 indexed citations

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.

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