Yan Chu
Impact in
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- Multimodal Machine Learning Applications
- Advanced Neural Network Applications
- Information Systems top 10%
- Recommender Systems and Techniques
Papers in
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- Advanced Clustering Algorithms Research 6
- Domain Adaptation and Few-Shot Learning 4
- Topic Modeling 2
-
- Face recognition and analysis 2
- Video Surveillance and Tracking Methods 2
- Co-authors
- Xu Yu (2 shared papers)Feng Xian Jiang (2 shared papers)Dunwei Gong (1 shared paper)Ying Guo (1 shared paper)Zhengkui Wang (18 shared papers)Lei Yu (1 shared paper)Jianpei Zhang (7 shared papers)Kian‐Lee Tan (3 shared papers)
- Journals
- IEEE Access (2 papers)Lecture notes in computer science (12 papers)Applied Sciences (1 paper)Remote Sensing (1 paper)The Visual Computer (1 paper)
- Partner nations
- ChinaSingaporeUnited States
In The Last Decade
Yan Chu
33 papers receiving 310 citations
Peers
Comparison fields: 5 of 64
- Computer Vision and Pattern Recognition 97
- Information Systems 81
- Software 13
- Artificial Intelligence 69
- Statistical and Nonlinear Physics 15
Countries citing papers authored by Yan Chu
This map shows the geographic impact of Yan Chu'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 Chu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yan Chu more than expected).
Fields of papers citing papers by Yan Chu
This network shows the impact of papers produced by Yan Chu. 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 Chu. The network helps show where Yan Chu may publish in the future.
Co-authors
The 25 scholars most cited alongside Yan Chu, 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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 137 | |
| 2 | 2020 | 85 | |
| 3 | 2010 | 13 | |
| 4 | 2016 | 11 | |
| 5 | 2020 | 9 | |
| 6 | Variable Scale Network Overlapping Community Identification Based on Identity Uncertainty | 2012 | 7 |
| 7 | 2010 | 6 | |
| 8 | 2011 | 6 | |
| 9 | 2015 | 5 | |
| 10 | 2020 | 5 | |
| 11 | 2023 | 5 | |
| 12 | 2016 | 4 | |
| 13 | 2022 | 4 | |
| 14 | 2024 | 4 | |
| 15 | 2017 | 3 | |
| 16 | 2021 | 3 | |
| 17 | 2011 | 2 | |
| 18 | 2015 | 2 | |
| 19 | 2019 | 2 | |
| 20 | 2019 | 2 |
About Yan Chu
Yan Chu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems, Statistical and Nonlinear Physics and Computer Networks and Communications, having authored 38 papers that have together received 333 indexed citations. Recurring topics across this work include Advanced Clustering Algorithms Research (6 papers), Recommender Systems and Techniques (6 papers), Domain Adaptation and Few-Shot Learning (4 papers), Complex Network Analysis Techniques (3 papers), Caching and Content Delivery (3 papers), Topic Modeling (2 papers), Face recognition and analysis (2 papers) and Video Surveillance and Tracking Methods (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (97 citations), Information Systems (81 citations), Software (13 citations), Artificial Intelligence (69 citations) and Statistical and Nonlinear Physics (15 citations). Yan Chu has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Xu Yu, Feng Xian Jiang, Dunwei Gong, Ying Guo, Zhengkui Wang, Lei Yu, Jianpei Zhang, Kian‐Lee Tan, Lei Yu and Xuewei Zhang. Their work appears in journals such as IEEE Access, Lecture notes in computer science, Applied Sciences, Remote Sensing and The Visual Computer.
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.