Jiang Bian
Impact in
- Health Informatics top 0.05%
- Artificial Intelligence in Healthcare and Education
- Health Information Management top 0.2%
- Artificial Intelligence in Healthcare
Papers in
-
- Machine Learning in Healthcare 36
- Topic Modeling 22
-
- Biomedical Text Mining and Ontologies 29
- Co-authors
- Yi Guo (113 shared papers)Fei Wang (23 shared papers)Jie Xu (22 shared papers)William R. Hogan (42 shared papers)Benjamin S. Glicksberg (2 shared papers)Chang Su (2 shared papers)Yonghui Wu (50 shared papers)Peter Walker (1 shared paper)
- Journals
- Journal of the American Medical Informatics Association (21 papers)Journal of Biomedical Informatics (16 papers)BMC Medical Informatics and Decision Making (11 papers)PLoS ONE (9 papers)Alzheimer s & Dementia (9 papers)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Jiang Bian
404 papers receiving 7.9k citations
Jiang Bian's Hit Papers
Peers
Comparison fields: 5 of 210
- Health Informatics 718
- Health Information Management 402
- Artificial Intelligence 2.2k
- Toxicology 124
- Health 228
Countries citing papers authored by Jiang Bian
This map shows the geographic impact of Jiang Bian'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 Jiang Bian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jiang Bian more than expected).
Fields of papers citing papers by Jiang Bian
This network shows the impact of papers produced by Jiang Bian. 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 Jiang Bian. The network helps show where Jiang Bian may publish in the future.
Co-authors
The 25 scholars most cited alongside Jiang Bian, 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 440 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Federated Learning for Healthcare Informatics Hit paper breakdown → | 2020 | 953 |
| 2 | A large language model for electronic health records Hit paper breakdown → | 2022 | 488 |
| 3 | Causal inference and counterfactual prediction in machine learning for actionable healthcare Hit paper breakdown → | 2020 | 245 |
| 4 | 2023 | 223 | |
| 5 | Explainable artificial intelligence models using real-world electronic health record data: a systematic scoping review Hit paper breakdown → | 2020 | 218 |
| 6 | 2012 | 192 | |
| 7 | 2018 | 139 | |
| 8 | Data-driven identification of post-acute SARS-CoV-2 infection subphenotypes Hit paper breakdown → | 2022 | 112 |
| 9 | 2022 | 101 | |
| 10 | 2019 | 101 | |
| 11 | 2020 | 98 | |
| 12 | 2018 | 91 | |
| 13 | 2016 | 90 | |
| 14 | 2020 | 87 | |
| 15 | 2016 | 78 | |
| 16 | 2018 | 74 | |
| 17 | 2019 | 74 | |
| 18 | 2013 | 68 | |
| 19 | 2020 | 68 | |
| 20 | 2018 | 66 |
About Jiang Bian
Jiang Bian is a scholar working on Artificial Intelligence, Molecular Biology, Public Health, Environmental and Occupational Health, Epidemiology and General Health Professions, having authored 440 papers that have together received 8.1k indexed citations. Recurring topics across this work include Machine Learning in Healthcare (36 papers), Biomedical Text Mining and Ontologies (29 papers), Diabetes Treatment and Management (22 papers), Topic Modeling (22 papers), Health Systems, Economic Evaluations, Quality of Life (15 papers), Advanced Causal Inference Techniques (12 papers), Mental Health via Writing (10 papers) and Artificial Intelligence in Healthcare (10 papers). The work is most often cited by research in Health Informatics (718 citations), Health Information Management (402 citations), Artificial Intelligence (2.2k citations), Toxicology (124 citations) and Health (228 citations). Jiang Bian has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Yi Guo, Fei Wang, Jie Xu, William R. Hogan, Benjamin S. Glicksberg, Chang Su, Yonghui Wu, Peter Walker, Xi Yang and Elizabeth Shenkman. Their work appears in journals such as Journal of the American Medical Informatics Association, Journal of Biomedical Informatics, BMC Medical Informatics and Decision Making, PLoS ONE and Alzheimer s & Dementia.
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.