Yu Yan
Impact in
- Artificial Intelligence top 5%
- Topic Modeling
- Natural Language Processing Techniques
- Advanced Text Analysis Techniques
- Speech and dialogue systems
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- Multimodal Machine Learning Applications
Papers in
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- Topic Modeling 12
- Natural Language Processing Techniques 3
- Reinforcement Learning in Robotics 2
- Advanced Graph Neural Networks 2
- Domain Adaptation and Few-Shot Learning 1
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- Fuzzy Systems and Optimization 2
- Co-authors
- Nan Duan (8 shared papers)Yeyun Gong (8 shared papers)Jiusheng Chen (6 shared papers)Dayiheng Liu (5 shared papers)Ruofei Zhang (5 shared papers)Ming Zhou (4 shared papers)Weizhen Qi (4 shared papers)Dong Qiu (5 shared papers)
- Journals
- Journal of Materials Science Materials in Electronics (1 paper)Physical review. D (1 paper)Fuzzy Sets and Systems (1 paper)Complex & Intelligent Systems (1 paper)International Journal of Computational Intelligence Systems (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Yu Yan
27 papers receiving 564 citations
Peers
Comparison fields: 5 of 60
- Artificial Intelligence 404
- Computer Vision and Pattern Recognition 52
- Health Informatics 5
- Information Systems 47
- Computational Mathematics 1
Countries citing papers authored by Yu Yan
This map shows the geographic impact of Yu 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 Yu Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu Yan more than expected).
Fields of papers citing papers by Yu Yan
This network shows the impact of papers produced by Yu 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 Yu Yan. The network helps show where Yu Yan may publish in the future.
Co-authors
The 25 scholars most cited alongside Yu 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 249 | |
| 2 | 2019 | 56 | |
| 3 | 2020 | 40 | |
| 4 | 2021 | 34 | |
| 5 | 2021 | 30 | |
| 6 | 2021 | 27 | |
| 7 | 2020 | 24 | |
| 8 | 2024 | 16 | |
| 9 | 2018 | 14 | |
| 10 | 2018 | 13 | |
| 11 | 2016 | 10 | |
| 12 | 2020 | 10 | |
| 13 | 2024 | 10 | |
| 14 | 2020 | 9 | |
| 15 | 2021 | 8 | |
| 16 | 2022 | 7 | |
| 17 | 2023 | 6 | |
| 18 | 2022 | 3 | |
| 19 | 2019 | 2 | |
| 20 | 2020 | 2 |
About Yu Yan
Yu Yan is a scholar working on Artificial Intelligence, Statistics and Probability, Nuclear and High Energy Physics, Computer Vision and Pattern Recognition and Control and Systems Engineering, having authored 32 papers that have together received 580 indexed citations. Recurring topics across this work include Topic Modeling (12 papers), Natural Language Processing Techniques (3 papers), Reinforcement Learning in Robotics (2 papers), Quantum Chromodynamics and Particle Interactions (2 papers), Advanced Graph Neural Networks (2 papers), Fuzzy Systems and Optimization (2 papers), Dynamics and Control of Mechanical Systems (1 paper) and Domain Adaptation and Few-Shot Learning (1 paper). The work is most often cited by research in Artificial Intelligence (404 citations), Computer Vision and Pattern Recognition (52 citations), Health Informatics (5 citations), Information Systems (47 citations) and Computational Mathematics (1 citation). Yu Yan has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Nan Duan, Yeyun Gong, Jiusheng Chen, Dayiheng Liu, Ruofei Zhang, Ming Zhou, Weizhen Qi, Dong Qiu, Jie Fu and Jiancheng Lv. Their work appears in journals such as Journal of Materials Science Materials in Electronics, Physical review. D, Fuzzy Sets and Systems, Complex & Intelligent Systems and International Journal of Computational Intelligence Systems.
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.