Can Yang
Impact in
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- Video Surveillance and Tracking Methods
- Human Pose and Action Recognition
- Image and Video Quality Assessment
- Face recognition and analysis
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- Stock Market Forecasting Methods
Papers in
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- Peer-to-Peer Network Technologies 7
- Caching and Content Delivery 7
- Network Security and Intrusion Detection 2
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- Multimedia Communication and Technology 9
- Co-authors
- Jianming Lv (2 shared papers)Qing Li (1 shared paper)Junjie Zhai (1 shared paper)Yong Liu (2 shared papers)Di Wu (1 shared paper)Min Chen (1 shared paper)Guoqing Zhang (1 shared paper)Houwei Cao (4 shared papers)
- Journals
- IEEE Transactions on Multimedia (2 papers)Applied Sciences (1 paper)IEEE Access (1 paper)IEEE Transactions on Information Forensics and Security (1 paper)IEEE Transactions on Circuits and Systems for Video Technology (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Can Yang
17 papers receiving 294 citations
Peers
Comparison fields: 5 of 54
- Computer Vision and Pattern Recognition 196
- Management Science and Operations Research 44
- Computer Networks and Communications 73
- Signal Processing 27
- Finance 17
Countries citing papers authored by Can Yang
This map shows the geographic impact of Can Yang'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 Can Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Can Yang more than expected).
Fields of papers citing papers by Can Yang
This network shows the impact of papers produced by Can Yang. 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 Can Yang. The network helps show where Can Yang may publish in the future.
Co-authors
The 21 scholars most cited alongside Can Yang, 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 | 2018 | 123 | |
| 2 | 2020 | 49 | |
| 3 | 2016 | 48 | |
| 4 | 2015 | 15 | |
| 5 | 2020 | 12 | |
| 6 | 2018 | 10 | |
| 7 | 2019 | 7 | |
| 8 | 2011 | 7 | |
| 9 | 2017 | 7 | |
| 10 | 2021 | 6 | |
| 11 | 2014 | 5 | |
| 12 | 2009 | 4 | |
| 13 | 2009 | 3 | |
| 14 | 2020 | 1 | |
| 15 | 2020 | 1 | |
| 16 | 2010 | 1 | |
| 17 | 2006 | 1 | |
| 18 | 2009 | 0 | |
| 19 | Optimization on Batching Schedule Policy for Video-On-Demand System | 2002 | 0 |
| 20 | 2009 | 0 |
About Can Yang
Can Yang is a scholar working on Computer Networks and Communications, Sociology and Political Science, Computer Vision and Pattern Recognition, Information Systems and Artificial Intelligence, having authored 20 papers that have together received 300 indexed citations. Recurring topics across this work include Multimedia Communication and Technology (9 papers), Peer-to-Peer Network Technologies (7 papers), Caching and Content Delivery (7 papers), Video Analysis and Summarization (4 papers), Recommender Systems and Techniques (3 papers), Network Security and Intrusion Detection (2 papers), Internet Traffic Analysis and Secure E-voting (2 papers) and Image and Video Quality Assessment (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (196 citations), Management Science and Operations Research (44 citations), Computer Networks and Communications (73 citations), Signal Processing (27 citations) and Finance (17 citations). Can Yang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Jianming Lv, Qing Li, Junjie Zhai, Yong Liu, Di Wu, Min Chen, Guoqing Zhang, Houwei Cao, Guoqiang Han and Yong Liu. Their work appears in journals such as IEEE Transactions on Multimedia, Applied Sciences, IEEE Access, IEEE Transactions on Information Forensics and Security and IEEE Transactions on Circuits and Systems for Video Technology.
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.