Hui Yan
Impact in
-
- Face and Expression Recognition
- Image Retrieval and Classification Techniques
- Signal Processing top 10%
Papers in
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- Face and Expression Recognition 17
- Advanced Image and Video Retrieval Techniques 4
-
- Advanced Graph Neural Networks 6
- Co-authors
- Jian Yang (9 shared papers)Jingyu Yang (9 shared papers)Hanlin Chen (3 shared papers)Dong‐Jun Yu (2 shared papers)Jun Hu (2 shared papers)Hong‐Bin Shen (2 shared papers)Jian Yang (2 shared papers)Weijie Han (1 shared paper)
- Journals
- Pattern Recognition (5 papers)Neurocomputing (4 papers)Scientific Reports (1 paper)Alexandria Engineering Journal (1 paper)IEEE Transactions on Circuits & Systems II Express Briefs (1 paper)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Hui Yan
48 papers receiving 467 citations
Peers
Comparison fields: 5 of 100
- Computer Vision and Pattern Recognition 181
- Signal Processing 68
- Artificial Intelligence 161
- Media Technology 42
- Urban Studies 21
Countries citing papers authored by Hui Yan
This map shows the geographic impact of Hui Yan'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 Hui Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hui Yan more than expected).
Fields of papers citing papers by Hui Yan
This network shows the impact of papers produced by Hui Yan. 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 Hui Yan. The network helps show where Hui Yan may publish in the future.
Co-authors
The 25 scholars most cited alongside Hui Yan, 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 52 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 43 | |
| 2 | 2015 | 42 | |
| 3 | 2014 | 41 | |
| 4 | 2014 | 35 | |
| 5 | 2021 | 34 | |
| 6 | 2016 | 30 | |
| 7 | 2018 | 27 | |
| 8 | 2011 | 25 | |
| 9 | 2019 | 24 | |
| 10 | 2022 | 23 | |
| 11 | 2019 | 19 | |
| 12 | 2019 | 15 | |
| 13 | 2009 | 15 | |
| 14 | 2022 | 12 | |
| 15 | 2008 | 11 | |
| 16 | 2013 | 11 | |
| 17 | 2003 | 10 | |
| 18 | 2019 | 9 | |
| 19 | 2015 | 9 | |
| 20 | 2017 | 4 |
About Hui Yan
Hui Yan is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Signal Processing, Information Systems and Computational Mechanics, having authored 52 papers that have together received 477 indexed citations. Recurring topics across this work include Face and Expression Recognition (17 papers), Blind Source Separation Techniques (8 papers), Sparse and Compressive Sensing Techniques (7 papers), Advanced Graph Neural Networks (6 papers), Complex Network Analysis Techniques (5 papers), Recommender Systems and Techniques (4 papers), Network Security and Intrusion Detection (4 papers) and Advanced Image and Video Retrieval Techniques (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (181 citations), Signal Processing (68 citations), Artificial Intelligence (161 citations), Media Technology (42 citations) and Urban Studies (21 citations). Hui Yan has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Jian Yang, Jingyu Yang, Hanlin Chen, Dong‐Jun Yu, Jun Hu, Hong‐Bin Shen, Jian Yang, Weijie Han, Jingfeng Xue and Minghui Wu. Their work appears in journals such as Pattern Recognition, Neurocomputing, Scientific Reports, Alexandria Engineering Journal and IEEE Transactions on Circuits & Systems II Express Briefs.
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.