Ming Cheung
Impact in
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- Advanced Steganography and Watermarking Techniques
- Digital Media Forensic Detection
- Generative Adversarial Networks and Image Synthesis
- Advanced Image and Video Retrieval Techniques
- Image Retrieval and Classification Techniques
- Conservation top 10%
Papers in
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- Advanced Image and Video Retrieval Techniques 7
- Image Retrieval and Classification Techniques 6
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- Spam and Phishing Detection 4
- Web Data Mining and Analysis 3
- Co-authors
- James She (25 shared papers)Jiantao Zhou (3 shared papers)Weiwei Sun (1 shared paper)Yuanman Li (1 shared paper)Zhanming Jie (2 shared papers)Yihua Cui (1 shared paper)Jie Tao (1 shared paper)Xiaopeng Li (3 shared papers)
In The Last Decade
Ming Cheung
31 papers receiving 437 citations
Peers
Comparison fields: 5 of 80
- Computer Vision and Pattern Recognition 227
- Conservation 13
- Computer Graphics and Computer-Aided Design 13
- Polymers and Plastics 45
- Information Systems 76
Countries citing papers authored by Ming Cheung
This map shows the geographic impact of Ming Cheung'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 Cheung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming Cheung more than expected).
Fields of papers citing papers by Ming Cheung
This network shows the impact of papers produced by Ming Cheung. 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 Cheung. The network helps show where Ming Cheung may publish in the future.
Co-authors
The 24 scholars most cited alongside Ming Cheung, 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 87 | |
| 2 | 2017 | 83 | |
| 3 | 2008 | 52 | |
| 4 | 2015 | 33 | |
| 5 | 2008 | 27 | |
| 6 | 2017 | 13 | |
| 7 | 2017 | 13 | |
| 8 | Bag-of-Features Tagging Approach for a Better Recommendation with Social Big Data | 2014 | 12 |
| 9 | 2007 | 12 | |
| 10 | 2016 | 9 | |
| 11 | 2015 | 8 | |
| 12 | 2017 | 8 | |
| 13 | 2016 | 8 | |
| 14 | 2018 | 8 | |
| 15 | 2016 | 7 | |
| 16 | 2019 | 7 | |
| 17 | 2017 | 7 | |
| 18 | 2016 | 6 | |
| 19 | 2019 | 6 | |
| 20 | 2019 | 6 |
About Ming Cheung
Ming Cheung is a scholar working on Computer Vision and Pattern Recognition, Information Systems, Statistical and Nonlinear Physics, Marketing and Artificial Intelligence, having authored 34 papers that have together received 449 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (7 papers), Image Retrieval and Classification Techniques (6 papers), Complex Network Analysis Techniques (5 papers), Caching and Content Delivery (4 papers), Spam and Phishing Detection (4 papers), Human Mobility and Location-Based Analysis (3 papers), Web Data Mining and Analysis (3 papers) and Digital Marketing and Social Media (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (227 citations), Conservation (13 citations), Computer Graphics and Computer-Aided Design (13 citations), Polymers and Plastics (45 citations) and Information Systems (76 citations). Ming Cheung has collaborated with scholars based in Hong Kong, China and Macao. Frequent co-authors include James She, Jiantao Zhou, Weiwei Sun, Yuanman Li, Zhanming Jie, Yihua Cui, Jie Tao, Xiaopeng Li, Soochang Park and Ning Wang. Their work appears in journals such as ACM Transactions on Multimedia Computing Communications and Applications, IEEE Transactions on Multimedia, Journal of Reinforced Plastics and Composites, IEEE Transactions on Professional Communication and Canadian Journal of Remote Sensing.
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.