Jiang Bian

14.2k total citations · 4 hit papers
422 papers, 7.2k citations indexed

About

Jiang Bian is a scholar working on Artificial Intelligence, Molecular Biology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Jiang Bian has authored 422 papers receiving a total of 7.2k indexed citations (citations by other indexed papers that have themselves been cited), including 103 papers in Artificial Intelligence, 81 papers in Molecular Biology and 52 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Jiang Bian's work include Biomedical Text Mining and Ontologies (51 papers), Machine Learning in Healthcare (48 papers) and Topic Modeling (34 papers). Jiang Bian is often cited by papers focused on Biomedical Text Mining and Ontologies (51 papers), Machine Learning in Healthcare (48 papers) and Topic Modeling (34 papers). Jiang Bian collaborates with scholars based in United States, China and United Kingdom. Jiang Bian's co-authors include Yi Guo, Fei Wang, Jie Xu, William R. Hogan, Yonghui Wu, Benjamin S. Glicksberg, Peter Walker, Chang Su, Xi Yang and Elizabeth Shenkman and has published in prestigious journals such as Circulation, Nature Medicine and Nature Communications.

In The Last Decade

Jiang Bian

383 papers receiving 7.1k citations

Hit Papers

Federated Learning for He... 2020 2026 2022 2024 2020 2022 2020 2022 250 500 750
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Federated Learning for Healthcare Informatics
    2020 821 citations Jie Xu, Jiang Bian et al. PubMed profile →
  2. A large language model for electronic health records
    2022 434 citations Xi Yang, Tanja Magoč et al. npj Digital Medicine profile →
  3. Causal inference and counterfactual prediction in machine learning for actionable healthcare
    2020 219 citations Mattia Prosperi, Yi Guo et al. profile →
  4. Data-driven identification of post-acute SARS-CoV-2 infection subphenotypes
    2022 108 citations Jie Xu, Jiang Bian et al. profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Jiang Bian 2.4k 977 757 751 751 422 7.2k
Bradley Malin 3.3k 1.4× 716 0.7× 435 0.6× 403 0.5× 1.5k 1.9× 279 6.5k
Yu‐Chuan Li 1.0k 0.4× 1.7k 1.7× 349 0.5× 840 1.1× 640 0.9× 491 9.9k
Nan Liu 2.2k 0.9× 1.1k 1.1× 596 0.8× 422 0.6× 365 0.5× 577 10.0k
Xiaoqian Jiang 3.7k 1.6× 1.2k 1.2× 588 0.8× 174 0.2× 642 0.9× 342 8.4k
I. Glenn Cohen 978 0.4× 402 0.4× 1.6k 2.1× 1.0k 1.4× 1.4k 1.9× 244 5.9k
Wendy W. Chapman 3.8k 1.6× 2.9k 2.9× 445 0.6× 568 0.8× 545 0.7× 167 7.4k
Byron Wallace 2.1k 0.9× 743 0.8× 345 0.5× 364 0.5× 366 0.5× 133 6.1k
Isabel de la Torre Díez 1.0k 0.4× 445 0.5× 225 0.3× 1.8k 2.4× 740 1.0× 318 8.0k
Jyotishman Pathak 1.8k 0.8× 1.3k 1.4× 214 0.3× 443 0.6× 625 0.8× 232 5.6k
Noémie Elhadad 4.1k 1.7× 1.5k 1.5× 335 0.4× 503 0.7× 304 0.4× 144 6.0k

Countries citing papers authored by Jiang Bian

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Jiang Bian

This figure shows the co-authorship network connecting the top 25 collaborators of Jiang Bian. A scholar is included among the top collaborators of Jiang Bian based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jiang Bian. Jiang Bian is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Ahmed, Mustafa M., Stephen E. Kimmel, Karen Daily, et al.. (2025). Impact of Pre-Existing Frailty on Cardiotoxicity Among Breast Cancer Patients Receiving Adjuvant Therapy. JACC CardioOncology. 7(2). 110–121. 1 indexed citations
2.
Bian, Jiang, et al.. (2025). Comparative Evaluation of Clinical Large Language Models and Machine Learning to Predict Antimicrobial Resistance in Hospital-Onset Sepsis. Lecture notes in computer science. 15734. 65–76. 1 indexed citations
3.
Guo, Junliang, Xu Tan, Yongxin Zhu, et al.. (2024). Empowering Diffusion Models on the Embedding Space for Text Generation. 4664–4683. 5 indexed citations
4.
Tong, Jiayi, Jenna Reps, Vitaly Lorman, et al.. (2024). Advancing Interpretable Regression Analysis for Binary Data: A Novel Distributed Algorithm Approach. Statistics in Medicine. 43(29). 5573–5582. 1 indexed citations
5.
Adekkanattu, Prakash, Al’ona Furmanchuk, Yonghui Wu, et al.. (2024). Deep learning for identifying personal and family history of suicidal thoughts and behaviors from EHRs. npj Digital Medicine. 7(1). 260–260. 4 indexed citations
6.
Gao, Xiaotian, et al.. (2024). LordNet: An efficient neural network for learning to solve parametric partial differential equations without simulated data. Neural Networks. 176. 106354–106354. 6 indexed citations
7.
8.
Guo, Jingchuan, Huilin Tang, Hui Shao, et al.. (2024). Sodium‐glucose cotransporter 2 inhibitors and the risk of Parkinson disease in real‐world patients with type 2 diabetes. Diabetes Obesity and Metabolism. 26(12). 5727–5736. 4 indexed citations
9.
Gomez, Felicia, Arpad Danos, Guilherme Del Fiol, et al.. (2024). A New Era of Data-Driven Cancer Research and Care: Opportunities and Challenges. Cancer Discovery. 14(10). 1774–1778.
10.
Hu, Hui, Francine Laden, Jaime E. Hart, et al.. (2023). A spatial and contextual exposome-wide association study and polyexposomic score of COVID-19 hospitalization. PubMed. 3(1). osad005–osad005. 3 indexed citations
11.
Xu, Jie, Xing He, Wei Shao, Jiang Bian, & Russell Terry. (2023). Classification of Benign and Malignant Renal Tumors Based on CT Scans and Clinical Data Using Machine Learning Methods. Informatics. 10(3). 55–55. 4 indexed citations
12.
Allen, John M., Yi Guo, Jiang Bian, et al.. (2023). Unraveling Racial Disparities in Supportive Care Medication Use among End-of-Life Pancreatic Cancer Patients: Focus on Pain Management and Psychiatric Therapies. Cancer Epidemiology Biomarkers & Prevention. 32(12). 1675–1682. 3 indexed citations
13.
Solberg, Laurence M., Mattia Prosperi, Tanja Magoč, et al.. (2023). Application of a practice-based approach in variable selection for a prediction model development study of hospital-induced delirium. BMC Medical Informatics and Decision Making. 23(1). 181–181. 1 indexed citations
14.
15.
Hall, Jaclyn, Rahma Mkuu, Jennifer Woodard, et al.. (2023). Disparities Contributing to Late-Stage Diagnosis of Lung, Colorectal, Breast, and Cervical Cancers: Rural and Urban Poverty in Florida. Cancers. 15(21). 5226–5226. 6 indexed citations
16.
Bian, Jiang, et al.. (2023). Cocktail nano-adjuvant enhanced cancer immunotherapy based on NIR-II-triggered in-situ tumor vaccination. Chinese Chemical Letters. 35(3). 108443–108443. 1 indexed citations
17.
Cheng, Peng, Xi Yang, Zehao Yu, et al.. (2023). Clinical concept and relation extraction using prompt-based machine reading comprehension. Journal of the American Medical Informatics Association. 30(9). 1486–1493. 17 indexed citations
18.
Gopireddy, Dheeraj Reddy, Chandana Lall, Sara M. Falzarano, et al.. (2022). Intraindividual Reliability of Opportunistic Computed Tomography–Assessed Adiposity and Skeletal Muscle Among Breast Cancer Patients. JNCI Cancer Spectrum. 6(6). 1 indexed citations
19.
20.
Duan, Rui, Chongliang Luo, Martijn J. Schuemie, et al.. (2020). Learning from local to global: An efficient distributed algorithm for modeling time-to-event data. Journal of the American Medical Informatics Association. 27(7). 1028–1036. 43 indexed citations

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.

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