Liyi Chen
Impact in
- Microbiology top 10%
- Artificial Intelligence top 10%
- Topic Modeling
- Advanced Graph Neural Networks
- Domain Adaptation and Few-Shot Learning
Papers in
- Surgery 15
- Infectious Diseases and Tuberculosis 7
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- Advanced Graph Neural Networks 5
- Domain Adaptation and Few-Shot Learning 4
- Topic Modeling 3
- Co-authors
- Enhong Chen (5 shared papers)Tong Xu (5 shared papers)Zhi Li (3 shared papers)Zhefeng Wang (2 shared papers)Tuo Liang (30 shared papers)Xinli Zhan (28 shared papers)Jiarui Chen (26 shared papers)Shengsheng Huang (27 shared papers)
- Journals
- Medicine (4 papers)BioMed Research International (4 papers)Scientific Reports (3 papers)Frontiers in Immunology (3 papers)Nature and Science of Sleep (2 papers)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Liyi Chen
66 papers receiving 641 citations
Peers
Comparison fields: 5 of 100
- Microbiology 33
- Artificial Intelligence 175
- Rheumatology 61
- Computer Vision and Pattern Recognition 84
- Cancer Research 46
Countries citing papers authored by Liyi Chen
This map shows the geographic impact of Liyi Chen'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 Liyi Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Liyi Chen more than expected).
Fields of papers citing papers by Liyi Chen
This network shows the impact of papers produced by Liyi Chen. 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 Liyi Chen. The network helps show where Liyi Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Liyi Chen, 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 69 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 56 | |
| 2 | 2020 | 53 | |
| 3 | 2021 | 39 | |
| 4 | 2023 | 34 | |
| 5 | 2014 | 32 | |
| 6 | 2022 | 26 | |
| 7 | 2023 | 22 | |
| 8 | 2022 | 21 | |
| 9 | 2017 | 20 | |
| 10 | 2020 | 18 | |
| 11 | 2021 | 17 | |
| 12 | 2023 | 16 | |
| 13 | 2020 | 15 | |
| 14 | 2021 | 14 | |
| 15 | 2020 | 14 | |
| 16 | 2023 | 12 | |
| 17 | 2023 | 12 | |
| 18 | 2019 | 11 | |
| 19 | 2022 | 11 | |
| 20 | 2023 | 11 |
About Liyi Chen
Liyi Chen is a scholar working on Surgery, Artificial Intelligence, Molecular Biology, Rheumatology and Computer Vision and Pattern Recognition, having authored 69 papers that have together received 646 indexed citations. Recurring topics across this work include Spondyloarthritis Studies and Treatments (8 papers), Infectious Diseases and Tuberculosis (7 papers), Multimodal Machine Learning Applications (5 papers), Advanced Graph Neural Networks (5 papers), Domain Adaptation and Few-Shot Learning (4 papers), Topic Modeling (3 papers), Spine and Intervertebral Disc Pathology (3 papers) and Recommender Systems and Techniques (3 papers). The work is most often cited by research in Microbiology (33 citations), Artificial Intelligence (175 citations), Rheumatology (61 citations), Computer Vision and Pattern Recognition (84 citations) and Cancer Research (46 citations). Liyi Chen has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Enhong Chen, Tong Xu, Zhi Li, Zhefeng Wang, Tuo Liang, Xinli Zhan, Jiarui Chen, Shengsheng Huang, Jie Jiang and Tianyou Chen. Their work appears in journals such as Medicine, BioMed Research International, Scientific Reports, Frontiers in Immunology and Nature and Science of Sleep.
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.