De Cheng
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- Video Surveillance and Tracking Methods 11
- Human Pose and Action Recognition 7
- Advanced Image and Video Retrieval Techniques 6
- Face recognition and analysis 5
- Advanced Neural Network Applications 5
- Biomedical Engineering top 10%
- Gait Recognition and Analysis 4
- Artificial Intelligence top 10%
- Media Technology top 10%
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- Hepatitis C virus research 3
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- Liver Disease Diagnosis and Treatment 2
- Co-authors
- Yihong GongNanning ZhengJinjun WangSanping ZhouWeiwei ShiHuaxiang ZhangXiaoyu TaoXiaojun Chang
- Journals
- Neurocomputing (3 papers)Pattern Recognition (3 papers)Multimedia Tools and Applications (2 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
De Cheng
24 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 92
- Computer Vision and Pattern Recognition 1.1k
- Biomedical Engineering 454
- Artificial Intelligence 200
- Media Technology 50
- Safety, Risk, Reliability and Quality 51
Countries citing papers authored by De Cheng
This map shows the geographic impact of De Cheng'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 De Cheng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites De Cheng more than expected).
Fields of papers citing papers by De Cheng
This network shows the impact of papers produced by De Cheng. 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 De Cheng. The network helps show where De Cheng may publish in the future.
Co-authorship network
The 25 scholars most cited alongside De Cheng, 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 | 2025 | 2 | |
| 2 | 2019 | 17 | |
| 3 | 2018 | 15 | |
| 4 | 2018 | 46 | |
| 5 | 2018 | 22 | |
| 6 | 2018 | 8 | |
| 7 | 2018 | 44 | |
| 8 | 2018 | 9 | |
| 9 | 2018 | 60 | |
| 10 | 2017 | 56 | |
| 11 | 2017 | 41 | |
| 12 | 2017 | 1 | |
| 13 | 2017 | 11 | |
| 14 | 2017 | 13 | |
| 15 | 2017 | 13 | |
| 16 | 2017 | 21 | |
| 17 | 2016 | 4 | |
| 18 | Person Re-identification by Multi-Channel Parts-Based CNN with Improved Triplet Loss Functionbreakdown → | 2016 | 890 |
| 19 | 2009 | 11 | |
| 20 | 2008 | 3 |
About De Cheng
De Cheng is a scholar working on Computer Vision and Pattern Recognition, Hepatology, Artificial Intelligence, Human-Computer Interaction and Geology, having authored 24 papers that have together received 1.3k indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (11 papers), Human Pose and Action Recognition (7 papers), Advanced Image and Video Retrieval Techniques (6 papers), Face recognition and analysis (5 papers), Advanced Neural Network Applications (5 papers), Gait Recognition and Analysis (4 papers), Hepatitis C virus research (3 papers) and Liver Disease Diagnosis and Treatment (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.1k citations), Biomedical Engineering (454 citations), Artificial Intelligence (200 citations), Media Technology (50 citations) and Safety, Risk, Reliability and Quality (51 citations). De Cheng has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Yihong Gong, Nanning Zheng, Jinjun Wang, Sanping Zhou, Weiwei Shi, Huaxiang Zhang, Xiaoyu Tao, Xiaojun Chang, Yi Yang and Zhihui Li. Their work appears in journals such as Neurocomputing, Pattern Recognition, Multimedia Tools and Applications, Pattern Recognition Letters and European Journal of Clinical Microbiology & Infectious Diseases.
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.