Yan Chu
Impact in
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- Multimodal Machine Learning Applications
- Advanced Image and Video Retrieval Techniques
- Human Pose and Action Recognition
- Analytical Chemistry top 10%
- Spectroscopy and Chemometric Analyses
Papers in
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- Advanced Image and Video Retrieval Techniques 6
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- Domain Adaptation and Few-Shot Learning 5
- Topic Modeling 4
- Advanced Graph Neural Networks 4
- Advanced Clustering Algorithms Research 4
- Co-authors
- Xu Yu (2 shared papers)Ying Guo (1 shared paper)Feng Xian Jiang (2 shared papers)Dunwei Gong (1 shared paper)Zhengkui Wang (18 shared papers)Lei Yu (1 shared paper)Yongfeng Lu (2 shared papers)Jianpei Zhang (7 shared papers)
- Journals
- International Journal of Radiation Oncology*Biology*Physics (2 papers)Optics Express (2 papers)IEEE Access (2 papers)Buildings (2 papers)Lecture notes in computer science (12 papers)
- Partner nations
- ChinaSingaporeUnited States
In The Last Decade
Yan Chu
55 papers receiving 505 citations
Peers
Comparison fields: 5 of 127
- Computer Vision and Pattern Recognition 132
- Analytical Chemistry 56
- Artificial Intelligence 139
- Information Systems 92
- Business and International Management 6
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 71 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 138 | |
| 2 | 2020 | 85 | |
| 3 | 2018 | 63 | |
| 4 | 2012 | 23 | |
| 5 | 2023 | 22 | |
| 6 | 2016 | 17 | |
| 7 | 2010 | 13 | |
| 8 | 2018 | 13 | |
| 9 | 2020 | 13 | |
| 10 | 2016 | 11 | |
| 11 | 2020 | 10 | |
| 12 | 2024 | 9 | |
| 13 | 2024 | 8 | |
| 14 | Variable Scale Network Overlapping Community Identification Based on Identity Uncertainty | 2012 | 7 |
| 15 | 2010 | 6 | |
| 16 | 2011 | 6 | |
| 17 | 2014 | 6 | |
| 18 | 2015 | 5 | |
| 19 | 2020 | 5 | |
| 20 | 2024 | 5 |
About Yan Chu
Yan Chu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Information Systems, Computer Networks and Communications and Media Technology, having authored 71 papers that have together received 536 indexed citations. Recurring topics across this work include Recommender Systems and Techniques (6 papers), Advanced Image and Video Retrieval Techniques (6 papers), Domain Adaptation and Few-Shot Learning (5 papers), Topic Modeling (4 papers), Advanced Graph Neural Networks (4 papers), Complex Network Analysis Techniques (4 papers), Inflammatory Biomarkers in Disease Prognosis (4 papers) and Advanced Clustering Algorithms Research (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (132 citations), Analytical Chemistry (56 citations), Artificial Intelligence (139 citations), Information Systems (92 citations) and Business and International Management (6 citations). Yan Chu has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Xu Yu, Ying Guo, Feng Xian Jiang, Dunwei Gong, Zhengkui Wang, Lei Yu, Yongfeng Lu, Jianpei Zhang, Zhongqi Hao and Kian‐Lee Tan. Their work appears in journals such as International Journal of Radiation Oncology*Biology*Physics, Optics Express, IEEE Access, Buildings and Lecture notes in computer science.
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.