MC Ng
Impact in
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- Face and Expression Recognition
- Image and Signal Denoising Methods
- Advanced Image Processing Techniques
- Artificial Intelligence top 5%
- Advanced Clustering Algorithms Research
- Text and Document Classification Technologies
Papers in
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- Advanced MRI Techniques and Applications 2
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- Advanced Image Processing Techniques 3
- Image and Signal Denoising Methods 2
- Image Retrieval and Classification Techniques 1
- Generative Adversarial Networks and Image Synthesis 1
- Co-authors
- Jian Huang (1 shared paper)Hongqiang Rong (1 shared paper)Zichen Li (1 shared paper)Xiaojun Chen (1 shared paper)Xiaoming Yuan (1 shared paper)Lionel Moisan (1 shared paper)Tieyong Zeng (1 shared paper)Yumei Huang (1 shared paper)
In The Last Decade
MC Ng
14 papers receiving 973 citations
MC Ng's Hit Papers
Peers
Comparison fields: 5 of 118
- Computer Vision and Pattern Recognition 560
- Artificial Intelligence 514
- Media Technology 115
- Signal Processing 140
- Computational Mechanics 174
Countries citing papers authored by MC Ng
This map shows the geographic impact of MC Ng'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 MC Ng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites MC Ng more than expected).
Fields of papers citing papers by MC Ng
This network shows the impact of papers produced by MC Ng. 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 MC Ng. The network helps show where MC Ng may publish in the future.
Co-authors
The 24 scholars most cited alongside MC Ng, 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 | Automated variable weighting in k-means type clustering Hit paper breakdown → | 2005 | 652 |
| 2 | 2012 | 99 | |
| 3 | 2013 | 80 | |
| 4 | 2012 | 72 | |
| 5 | 2000 | 30 | |
| 6 | 2011 | 28 | |
| 7 | 2012 | 17 | |
| 8 | 2006 | 15 | |
| 9 | 2005 | 13 | |
| 10 | 2015 | 11 | |
| 11 | 2016 | 3 | |
| 12 | Proton density change in spinal cord fMRI induced by acupoint stimulation | 2005 | 2 |
| 13 | Proton Density-weighted Spinal fMRI Comparison between Sensorimotor Task and Acupoint Stimulation | 2005 | 2 |
| 14 | Electronic-data-processing in clinical biochemistry. | 1975 | 1 |
About MC Ng
MC Ng is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Media Technology, Otorhinolaryngology and Biophysics, having authored 14 papers that have together received 1.0k indexed citations. Recurring topics across this work include Advanced Image Processing Techniques (3 papers), Image and Signal Denoising Methods (2 papers), Advanced MRI Techniques and Applications (2 papers), Viral gastroenteritis research and epidemiology (1 paper), Image Retrieval and Classification Techniques (1 paper), Generative Adversarial Networks and Image Synthesis (1 paper), Genomics and Phylogenetic Studies (1 paper) and Head and Neck Cancer Studies (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (560 citations), Artificial Intelligence (514 citations), Media Technology (115 citations), Signal Processing (140 citations) and Computational Mechanics (174 citations). MC Ng has collaborated with scholars based in Hong Kong, China and Singapore. Frequent co-authors include Jian Huang, Hongqiang Rong, Zichen Li, Xiaojun Chen, Xiaoming Yuan, Lionel Moisan, Tieyong Zeng, Yumei Huang, Wei Wang and Robert J. Plemmons. Their work appears in journals such as IEEE Transactions on Image Processing, Clinical Oncology, Bioinformatics, IEEE Transactions on Pattern Analysis and Machine Intelligence and Singapore Medical Journal.
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.