Yong Cheng
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 2%
- Media Technology top 5%
- Information Systems top 10%
- Computer Networks and Communications top 10%
- Topics
- Face and Expression Recognition (11 papers)Advanced Image Fusion Techniques (8 papers)Video Surveillance and Tracking Methods (8 papers)
- Journals
- Scientific ReportsCommunications of the ACMThe Journal of the Acoustical Society of America
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Yong Cheng
47 papers receiving 818 citations
Peers
Comparison fields: 5 of 96
- Artificial Intelligence 434
- Computer Vision and Pattern Recognition 364
- Media Technology 111
- Information Systems 85
- Computer Networks and Communications 75
Countries citing papers authored by Yong Cheng
This map shows the geographic impact of Yong 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 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 Cheng more than expected).
Fields of papers citing papers by Yong Cheng
This network shows the impact of papers produced by Yong 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 Cheng. The network helps show where Yong Cheng may publish in the future.
Co-authorship network of co-authors of Yong Cheng
This figure shows the co-authorship network connecting the top 25 collaborators of Yong Cheng. A scholar is included among the top collaborators of Yong 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 Cheng. Yong 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 | 1 | |
| 3 | 1 | |
| 4 | 3 | |
| 5 | 17 | |
| 6 | 0 | |
| 7 | 0 | |
| 8 | 39 | |
| 9 | 3 | |
| 10 | 2 | |
| 11 | 19 | |
| 12 | A Communication Efficient Vertical Federated Learning Framework. | 31 |
| 13 | 2 | |
| 14 | 3 | |
| 15 | 39 | |
| 16 | Learning to Detect Hedges and their Scope Using CRF | 5 |
| 17 | 5 | |
| 18 | 0 | |
| 19 | 1 | |
| 20 | Similarity-Based Dynamic Multi-Dimension Concept Mapping Algorithm | 3 |
About Yong Cheng
Yong Cheng is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Artificial Intelligence, having authored 55 papers that have together received 864 indexed citations. Recurring topics across this work include Face and Expression Recognition (11 papers), Advanced Image Fusion Techniques (8 papers) and Video Surveillance and Tracking Methods (8 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (364 citations), Health Informatics (19 citations) and Artificial Intelligence (434 citations). Yong Cheng has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Qiang Yang, Tianjian Chen, Yang Liu, Zuoyong Li, Yan Kang, Han Yu, Guanghai Liu, Chuancai Liu, Yong Xu and Cairong Zhao. Their work appears in journals such as Scientific Reports, Communications of the ACM and The Journal of the Acoustical Society of America.
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.