Yong-Qing Cheng
- Computer Vision and Pattern Recognition top 2%
- Media Technology top 5%
- Signal Processing top 10%
- Artificial Intelligence
- Analytical Chemistry top 10%
- Co-authors
- Jingyu YangKe LiuRobert T. CollinsAllen R. HansonXiao LiuEdward M. RisemanVictor WuChristopher Jaynes
- Topics
- Face and Expression Recognition (8 papers)Image Retrieval and Classification Techniques (7 papers)Advanced Image and Video Retrieval Techniques (7 papers)
- Journals
- Pattern RecognitionInternational Journal of Computer VisionComputer Vision and Image Understanding
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Yong-Qing Cheng
29 papers receiving 477 citations
Peers
Comparison fields: 5 of 69
- Computer Vision and Pattern Recognition 418
- Media Technology 88
- Signal Processing 86
- Artificial Intelligence 67
- Analytical Chemistry 48
Countries citing papers authored by Yong-Qing Cheng
This map shows the geographic impact of Yong-Qing 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 Yong-Qing Cheng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yong-Qing Cheng more than expected).
Fields of papers citing papers by Yong-Qing Cheng
This network shows the impact of papers produced by Yong-Qing 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 Yong-Qing Cheng. The network helps show where Yong-Qing Cheng may publish in the future.
Co-authorship network of co-authors of Yong-Qing Cheng
This figure shows the co-authorship network connecting the top 25 collaborators of Yong-Qing Cheng. A scholar is included among the top collaborators of Yong-Qing Cheng based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yong-Qing Cheng. Yong-Qing Cheng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | 6 | |
| 4 | 13 | |
| 5 | 4 | |
| 6 | 1 | |
| 7 | 5 | |
| 8 | 12 | |
| 9 | 41 | |
| 10 | 16 | |
| 11 | 31 | |
| 12 | 1 | |
| 13 | 1 | |
| 14 | 1 | |
| 15 | 79 | |
| 16 | 34 | |
| 17 | 1 | |
| 18 | 1 | |
| 19 | 2 | |
| 20 | AN AUTOMATIC RECOGNITION SYSTEM OF ASSEMBLY DRAWINGS | 1 |
About Yong-Qing Cheng
Yong-Qing Cheng is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Computer Graphics and Computer-Aided Design, having authored 30 papers that have together received 535 indexed citations. Recurring topics across this work include Face and Expression Recognition (8 papers), Image Retrieval and Classification Techniques (7 papers) and Advanced Image and Video Retrieval Techniques (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (418 citations), Media Technology (88 citations) and Computational Mathematics (5 citations). Yong-Qing Cheng has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Jingyu Yang, Ke Liu, Robert T. Collins, Allen R. Hanson, Xiao Liu, Edward M. Riseman, Victor Wu, Christopher Jaynes, Xiaoguang Wang and Tanveer Syeda-Mahmood. Their work appears in journals such as Pattern Recognition, International Journal of Computer Vision and Computer Vision and Image Understanding.
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.