Ming Cheung
Impact in
-
- Advanced Steganography and Watermarking Techniques
- Digital Media Forensic Detection
- Advanced Image and Video Retrieval Techniques
- Generative Adversarial Networks and Image Synthesis
- Image Retrieval and Classification Techniques
- Information Systems top 10%
Papers in ⓘ
-
- Advanced Image and Video Retrieval Techniques 7
- Image Retrieval and Classification Techniques 6
-
- Spam and Phishing Detection 4
- Cybercrime and Law Enforcement Studies 3
- Co-authors
- James She (26 shared papers)Jiantao Zhou (3 shared papers)Yuanman Li (1 shared paper)Weiwei Sun (1 shared paper)Zhanming Jie (3 shared papers)Yihua Cui (1 shared paper)Jie Tao (1 shared paper)Xiaopeng Li (3 shared papers)
In The Last Decade
Ming Cheung
32 papers receiving 383 citations
Peers
Comparison fields: 5 of 80
- Computer Vision and Pattern Recognition 187
- Information Systems 70
- Polymers and Plastics 43
- Conservation 10
- Computer Graphics and Computer-Aided Design 10
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 22 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 73 | |
| 2 | 2017 | 56 | |
| 3 | 2008 | 50 | |
| 4 | 2015 | 32 | |
| 5 | 2008 | 26 | |
| 6 | 2007 | 12 | |
| 7 | Bag-of-Features Tagging Approach for a Better Recommendation with Social Big Data | 2014 | 11 |
| 8 | 2017 | 11 | |
| 9 | 2017 | 11 | |
| 10 | 2016 | 9 | |
| 11 | 2016 | 8 | |
| 12 | 2018 | 8 | |
| 13 | 2015 | 8 | |
| 14 | 2019 | 6 | |
| 15 | 2019 | 6 | |
| 16 | 2017 | 6 | |
| 17 | 2016 | 6 | |
| 18 | 2016 | 6 | |
| 19 | 2015 | 5 | |
| 20 | 2019 | 5 |
About Ming Cheung
Ming Cheung is a scholar working on Computer Vision and Pattern Recognition, Information Systems, Artificial Intelligence, Sociology and Political Science and Statistical and Nonlinear Physics, having authored 33 papers that have together received 393 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 (6 papers), Spam and Phishing Detection (4 papers), Caching and Content Delivery (4 papers), Digital Marketing and Social Media (3 papers), Human Mobility and Location-Based Analysis (3 papers) and Cybercrime and Law Enforcement Studies (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (187 citations), Information Systems (70 citations), Polymers and Plastics (43 citations), Conservation (10 citations) and Computer Graphics and Computer-Aided Design (10 citations). Ming Cheung has collaborated with scholars based in Hong Kong, Macao and China. Frequent co-authors include James She, Jiantao Zhou, Yuanman Li, Weiwei Sun, Zhanming Jie, Yihua Cui, Jie Tao, Xiaopeng Li, Ning Wang and Alvin Junus. Their work appears in journals such as ACM Transactions on Multimedia Computing Communications and Applications, IEEE Transactions on Multimedia, Discourse Studies, Journal of Reinforced Plastics and Composites and IEEE Transactions on Big Data.
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.