ML Ng
Impact in
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- Face and Expression Recognition
- Advanced Image Processing Techniques
- Image and Signal Denoising Methods
- Signal Processing top 5%
- Data Management and Algorithms
Papers in
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- Image and Signal Denoising Methods 5
- Advanced Image Processing Techniques 2
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- Data Management and Algorithms 3
- Co-authors
- Zhexue Huang (1 shared paper)N.K. Bose (2 shared papers)David Wai-lok Cheung (4 shared papers)Kevin Yuk-Lap Yip (3 shared papers)Harrison A. Zieske (2 shared papers)Levy Mn (2 shared papers)G.K.H. Pang (1 shared paper)Henry Y. T. Ngan (1 shared paper)
In The Last Decade
ML Ng
23 papers receiving 893 citations
Peers
Comparison fields: 5 of 120
- Computer Vision and Pattern Recognition 384
- Signal Processing 163
- Media Technology 125
- Artificial Intelligence 470
- Information Systems 142
Countries citing papers authored by ML Ng
This map shows the geographic impact of ML 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 ML Ng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites ML Ng more than expected).
Fields of papers citing papers by ML Ng
This network shows the impact of papers produced by ML 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 ML Ng. The network helps show where ML Ng may publish in the future.
Co-authors
The 19 scholars most cited alongside ML 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
Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1999 | 390 | |
| 2 | 2004 | 132 | |
| 3 | 2003 | 127 | |
| 4 | 1967 | 106 | |
| 5 | 2005 | 46 | |
| 6 | 2002 | 33 | |
| 7 | 2004 | 29 | |
| 8 | 1966 | 26 | |
| 9 | 2009 | 18 | |
| 10 | 2001 | 15 | |
| 11 | 1968 | 12 | |
| 12 | 2006 | 8 | |
| 13 | Presence of pro-opiomelanocortin peptides and corticotropin-releasing factor in human placenta. | 1996 | 5 |
| 14 | Thyroid function and pubertal development in malnutrition. | 1994 | 5 |
| 15 | 2003 | 5 | |
| 16 | 2006 | 4 | |
| 17 | 2001 | 4 | |
| 18 | 2002 | 3 | |
| 19 | Usefulness and limitations of thyrotropin measurements as a first-line test for follow-up of Graves' patients. | 1993 | 3 |
| 20 | 2005 | 2 |
About ML Ng
ML Ng is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Artificial Intelligence, Information Systems and Media Technology, having authored 24 papers that have together received 977 indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (5 papers), Data Mining Algorithms and Applications (4 papers), Advanced Clustering Algorithms Research (4 papers), Data Management and Algorithms (3 papers), Gene expression and cancer classification (3 papers), Growth Hormone and Insulin-like Growth Factors (2 papers), Advanced Image Processing Techniques (2 papers) and Thyroid Disorders and Treatments (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (384 citations), Signal Processing (163 citations), Media Technology (125 citations), Artificial Intelligence (470 citations) and Information Systems (142 citations). ML Ng has collaborated with scholars based in Hong Kong, Malaysia and Australia. Frequent co-authors include Zhexue Huang, N.K. Bose, David Wai-lok Cheung, Kevin Yuk-Lap Yip, Harrison A. Zieske, Levy Mn, G.K.H. Pang, Henry Y. T. Ngan, Siu Pang Yung and Hilaire DeGeest. Their work appears in journals such as American Journal of Physiology-Legacy Content, IEEE Transactions on Knowledge and Data Engineering, Computers & Mathematics with Applications, IEEE Transactions on Signal Processing and IEEE Transactions on Fuzzy Systems.
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.