Yan Yan
Impact in
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- Video Surveillance and Tracking Methods
- Human Pose and Action Recognition
- Advanced Image and Video Retrieval Techniques
- Face and Expression Recognition
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- Mobile Crowdsensing and Crowdsourcing
Papers in
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- Face and Expression Recognition 9
- Human Pose and Action Recognition 6
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- Lattice Boltzmann Simulation Studies 8
- Fluid Dynamics and Turbulent Flows 8
- Fluid Dynamics and Vibration Analysis 6
- Journals
- IEEE Transactions on Image Processing (4 papers)Ocean Engineering (4 papers)IEEE Transactions on Neural Networks and Learning Systems (2 papers)ACM Transactions on Intelligent Systems and Technology (2 papers)IEEE Transactions on Pattern Analysis and Machine Intelligence (2 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Yan Yan
83 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 126
- Computer Vision and Pattern Recognition 1.1k
- Computer Science Applications 149
- Artificial Intelligence 760
- Signal Processing 232
- Computational Mathematics 9
Countries citing papers authored by Yan Yan
This map shows the geographic impact of Yan 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 Yan Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yan Yan more than expected).
Fields of papers citing papers by Yan Yan
This network shows the impact of papers produced by Yan 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 Yan Yan. The network helps show where Yan Yan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yan 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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 2 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 3 | |
| 4 | 2023 | 1 | |
| 5 | 2023 | 6 | |
| 6 | 2023 | 4 | |
| 7 | 2023 | 0 | |
| 8 | 2021 | 4 | |
| 9 | 2019 | 161 | |
| 10 | Exploit the Unknown Gradually: One-Shot Video-Based Person Re-identification by Stepwise Learning Hit paper breakdown → | 2018 | 276 |
| 11 | 2018 | 31 | |
| 12 | 2018 | 4 | |
| 13 | 2018 | 1 | |
| 14 | Concept similarity measuring method for ontology based on field theory | 2016 | 1 |
| 15 | 2016 | 26 | |
| 16 | Finding the Hidden Hands：A Case Study of Detecting Organized Posters and Promoters in SINA Weibo | 2015 | 1 |
| 17 | Active Learning from Multiple Knowledge Sources | 2012 | 27 |
| 18 | CALCULATION OF ELASTIC DAMP- ING CHARACTERISTICS OF ROTOR SUPPORT MADE OF METAL RUBBER MATERIAL UNDER VARIABLE LOADS | 2007 | 3 |
| 19 | Scanning Hartmann test method and its application to lens aberration measurement | 2006 | 4 |
| 20 | Height forecast of water conducted zone with top coal caving based on artificial neural network | 2005 | 4 |
About Yan Yan
Yan Yan is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics, Artificial Intelligence, Signal Processing and Computer Science Applications, having authored 88 papers that have together received 2.0k indexed citations. Recurring topics across this work include Domain Adaptation and Few-Shot Learning (10 papers), Anomaly Detection Techniques and Applications (10 papers), Face and Expression Recognition (9 papers), Lattice Boltzmann Simulation Studies (8 papers), Fluid Dynamics and Turbulent Flows (8 papers), Machine Learning and Algorithms (6 papers), Fluid Dynamics and Vibration Analysis (6 papers) and Human Pose and Action Recognition (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.1k citations), Computer Science Applications (149 citations), Artificial Intelligence (760 citations), Signal Processing (232 citations) and Computational Mathematics (9 citations). Yan Yan has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Yi Yang, Yu Wu, Xuanyi Dong, Yutian Lin, Jennifer Dy, Glenn Fung, Rómer Rosales, Ivor W. Tsang, Wanli Ouyang and Nicu Sebe. Their work appears in journals such as IEEE Transactions on Image Processing, Ocean Engineering, IEEE Transactions on Neural Networks and Learning Systems, ACM Transactions on Intelligent Systems and Technology and IEEE Transactions on Pattern Analysis and Machine Intelligence.
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.