Beidi Chen
Impact in
- Biological Psychiatry top 10%
- Tryptophan and brain disorders
- Gastroenterology top 10%
Papers in
-
- Gut microbiota and health 8
-
- Advanced Neural Network Applications 5
- Advanced Image and Video Retrieval Techniques 5
- Multimodal Machine Learning Applications 2
- Co-authors
- Xuan Zhang (7 shared papers)Lidan Zhao (3 shared papers)Hao Li (2 shared papers)Luxi Sun (1 shared paper)Jun Wang (4 shared papers)Xinmiao Jia (3 shared papers)Bingxuan Wu (3 shared papers)Dinesh Khanna (1 shared paper)
- Journals
- Journal of Autoimmunity (3 papers)Cell Reports Medicine (1 paper)Nature Reviews Rheumatology (1 paper)Trends in Molecular Medicine (1 paper)Current Rheumatology Reports (1 paper)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Beidi Chen
28 papers receiving 686 citations
Peers
Comparison fields: 5 of 113
- Biological Psychiatry 41
- Gastroenterology 56
- Rheumatology 131
- Immunology 150
- Infectious Diseases 100
Countries citing papers authored by Beidi Chen
This map shows the geographic impact of Beidi 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 Beidi Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Beidi Chen more than expected).
Fields of papers citing papers by Beidi Chen
This network shows the impact of papers produced by Beidi 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 Beidi Chen. The network helps show where Beidi Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Beidi 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 158 | |
| 2 | 2020 | 151 | |
| 3 | 2017 | 120 | |
| 4 | 2022 | 56 | |
| 5 | 2023 | 50 | |
| 6 | 2021 | 22 | |
| 7 | Analyzing log analysis: an empirical study of user log mining | 2014 | 21 |
| 8 | Scatterbrain: Unifying Sparse and Low-rank Attention | 2021 | 14 |
| 9 | 2018 | 13 | |
| 10 | 2022 | 11 | |
| 11 | 2023 | 11 | |
| 12 | 2024 | 9 | |
| 13 | 2023 | 8 | |
| 14 | 2023 | 8 | |
| 15 | 2024 | 7 | |
| 16 | SLIDE : In Defense of Smart Algorithms over Hardware Acceleration for Large-Scale Deep Learning Systems | 2020 | 5 |
| 17 | MONGOOSE: A Learnable LSH Framework for Efficient Neural Network Training | 2021 | 5 |
| 18 | 2021 | 4 | |
| 19 | Fast and Accurate Stochastic Gradient Estimation | 2019 | 3 |
| 20 | LSH-SAMPLING BREAKS THE COMPUTATIONAL CHICKEN-AND-EGG LOOP IN ADAPTIVE STOCHASTIC GRADIENT ESTIMATION | 2018 | 3 |
About Beidi Chen
Beidi Chen is a scholar working on Molecular Biology, Computer Vision and Pattern Recognition, Artificial Intelligence, Immunology and Infectious Diseases, having authored 29 papers that have together received 694 indexed citations. Recurring topics across this work include Gut microbiota and health (8 papers), Advanced Neural Network Applications (5 papers), Advanced Image and Video Retrieval Techniques (5 papers), Systemic Sclerosis and Related Diseases (3 papers), Multimodal Machine Learning Applications (2 papers), Stochastic Gradient Optimization Techniques (2 papers), Salivary Gland Disorders and Functions (2 papers) and Immune Cell Function and Interaction (2 papers). The work is most often cited by research in Biological Psychiatry (41 citations), Gastroenterology (56 citations), Rheumatology (131 citations), Immunology (150 citations) and Infectious Diseases (100 citations). Beidi Chen has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Xuan Zhang, Lidan Zhao, Hao Li, Luxi Sun, Jun Wang, Xinmiao Jia, Bingxuan Wu, Dinesh Khanna, Dan Fang and Alain Lescoat. Their work appears in journals such as Journal of Autoimmunity, Cell Reports Medicine, Nature Reviews Rheumatology, Trends in Molecular Medicine and Current Rheumatology Reports.
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.