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
-
- Topic Modeling 14
- Natural Language Processing Techniques 9
- Advanced Text Analysis Techniques 4
- Advanced Graph Neural Networks 2
-
- Multimodal Machine Learning Applications 4
- Co-authors
- Nan Duan (6 shared papers)Yeyun Gong (6 shared papers)Jiusheng Chen (5 shared papers)Dayiheng Liu (4 shared papers)Ruofei Zhang (4 shared papers)Ming Zhou (3 shared papers)Dong Qiu (5 shared papers)Weizhen Qi (3 shared papers)
- Journals
- Journal of Materials Science Materials in Electronics (1 paper)Insight - Non-Destructive Testing and Condition Monitoring (1 paper)Complex & Intelligent Systems (1 paper)Knowledge-Based Systems (1 paper)IEEE Access (1 paper)
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Yu Yan
24 papers receiving 448 citations
Peers
Comparison fields: 5 of 75
- Artificial Intelligence 344
- Computer Vision and Pattern Recognition 94
- General Social Sciences 9
- Management Science and Operations Research 31
- Nuclear and High Energy Physics 25
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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 203 | |
| 2 | 2019 | 54 | |
| 3 | 2021 | 32 | |
| 4 | 2021 | 24 | |
| 5 | 2021 | 23 | |
| 6 | 2020 | 22 | |
| 7 | 2024 | 16 | |
| 8 | 2015 | 14 | |
| 9 | 2018 | 11 | |
| 10 | 2016 | 10 | |
| 11 | 2020 | 8 | |
| 12 | 2021 | 8 | |
| 13 | 2020 | 7 | |
| 14 | 2022 | 7 | |
| 15 | 2023 | 6 | |
| 16 | 2024 | 5 | |
| 17 | 2022 | 2 | |
| 18 | 2022 | 2 | |
| 19 | 2022 | 2 | |
| 20 | 2019 | 2 |
About Yu Yan
Yu Yan is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Control and Systems Engineering, Electrical and Electronic Engineering and Nuclear and High Energy Physics, having authored 28 papers that have together received 462 indexed citations. Recurring topics across this work include Topic Modeling (14 papers), Natural Language Processing Techniques (9 papers), Multimodal Machine Learning Applications (4 papers), Advanced Text Analysis Techniques (4 papers), Quantum Chromodynamics and Particle Interactions (3 papers), Fuzzy Systems and Optimization (2 papers), Advanced Graph Neural Networks (2 papers) and Particle physics theoretical and experimental studies (2 papers). The work is most often cited by research in Artificial Intelligence (344 citations), Computer Vision and Pattern Recognition (94 citations), General Social Sciences (9 citations), Management Science and Operations Research (31 citations) and Nuclear and High Energy Physics (25 citations). Yu Yan has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Nan Duan, Yeyun Gong, Jiusheng Chen, Dayiheng Liu, Ruofei Zhang, Ming Zhou, Dong Qiu, Weizhen Qi, Jie Fu and Jiancheng Lv. Their work appears in journals such as Journal of Materials Science Materials in Electronics, Insight - Non-Destructive Testing and Condition Monitoring, Complex & Intelligent Systems, Knowledge-Based Systems and IEEE Access.
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.