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, William R. Hogan, Jie Xu, 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

align trajectories

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.

Federated Learning for Healthcare Informatics

2020 821 citations Jie Xu, Jiang Bian et al. PubMed profile →
A large language model for electronic health records

2022 434 citations Tanja Magoč, Christopher A. Harle et al. npj Digital Medicine profile →
Causal inference and counterfactual prediction in machine learning for actionable healthcare

2020 219 citations Mattia Prosperi, Yi Guo et al. profile →
Data-driven identification of post-acute SARS-CoV-2 infection subphenotypes

2022 108 citations Jie Xu, Jiang Bian et al. profile →

Peers

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

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

#	Work	Indexed citations
1	Impact of Pre-Existing Frailty on Cardiotoxicity Among Breast Cancer Patients Receiving Adjuvant Therapy 2025 ·JACC CardioOncology ·(unknown), (unknown), Mustafa M. Ahmed, Stephen E. Kimmel, Karen Daily, Thomas J. George, Carl J. Pepine, Jiang Bian, Dejana Braithwaite, (unknown), Yi Guo	1
2	LordNet: An efficient neural network for learning to solve parametric partial differential equations without simulated data 2024 ·Neural Networks ·(unknown), (unknown), Xiaotian Gao, Xinran Wei, (unknown), Jiang Bian, Mao Yang, Tie‐Yan Liu	6
3	Empowering Diffusion Models on the Embedding Space for Text Generation 2024 ·(unknown), Junliang Guo, Xu Tan, Yongxin Zhu, Zhang Fei, Jiang Bian, Linli Xu	5
4	Advancing Interpretable Regression Analysis for Binary Data: A Novel Distributed Algorithm Approach 2024 ·Statistics in Medicine ·Jiayi Tong, (unknown), Jenna Reps, Vitaly Lorman, Naimin Jing, (unknown), X. C. Lou, Ravi Jhaveri, Kelly J. Kelleher, Nathan M. Pajor, Christopher B. Forrest, Jiang Bian, Haitao Chu, Yong Chen	1
5	Deep learning for identifying personal and family history of suicidal thoughts and behaviors from EHRs 2024 ·npj Digital Medicine ·Prakash Adekkanattu, Al’ona Furmanchuk, Yonghui Wu, (unknown), Braja Gopal Patra, (unknown), (unknown), Grace Hsin‐Min Wang, (unknown), (unknown), Yuan Luo, Theresa L. Walunas, Wei‐Hsuan Lo‐Ciganic, (unknown), Jiang Bian, Yuhua Bao, Mark G. Weiner, David W. Oslin, (unknown)	4
6	A New Era of Data-Driven Cancer Research and Care: Opportunities and Challenges 2024 ·Cancer Discovery ·Felicia Gomez, Arpad Danos, Guilherme Del Fiol, Anant Madabhushi, Pallavi Tiwari, Joshua F. McMichael, Spyridon Bakas, Jiang Bian, Christos Davatzikos, Elana J. Fertig, Jayashree Kalpathy–Cramer, (unknown), Guergana Savova, Meliha Yetişgen, Eliezer M. Van Allen, Jeremy L. Warner, Fred Prior, Malachi Griffith, Obi L. Griffith	0
7	Application of a practice-based approach in variable selection for a prediction model development study of hospital-induced delirium 2023 ·BMC Medical Informatics and Decision Making ·(unknown), (unknown), Laurence M. Solberg, Mattia Prosperi, Tanja Magoč, Zhaoyi Chen, Jiang Bian, Ragnhildur I. Bjarnadóttir, Robert Lucero	1
8	CLCAP: Contrastive learning improves antigenicity prediction for influenza A virus using convolutional neural networks 2023 ·Methods ·Rui Yin, (unknown), Jiang Bian	3
9	Disparities Contributing to Late-Stage Diagnosis of Lung, Colorectal, Breast, and Cervical Cancers: Rural and Urban Poverty in Florida 2023 ·Cancers ·Jaclyn Hall, Rahma Mkuu, (unknown), Jennifer Woodard, Frederic J. Kaye, Jiang Bian, Elizabeth Shenkman, Yi Guo	6
10	Cocktail nano-adjuvant enhanced cancer immunotherapy based on NIR-II-triggered in-situ tumor vaccination 2023 ·Chinese Chemical Letters ·(unknown), (unknown), Jiang Bian, (unknown), Dong‐Lin Xie, (unknown), Jun Yue	1
11	A spatial and contextual exposome-wide association study and polyexposomic score of COVID-19 hospitalization 2023 ·PubMed ·Hui Hu, Francine Laden, Jaime E. Hart, Peter James, Jennifer N. Fishe, William R. Hogan, Elizabeth Shenkman, Jiang Bian	3
12	Classification of Benign and Malignant Renal Tumors Based on CT Scans and Clinical Data Using Machine Learning Methods 2023 ·Informatics ·Jie Xu, Xing He, Wei Shao, Jiang Bian, Russell Terry	4
13	Unraveling Racial Disparities in Supportive Care Medication Use among End-of-Life Pancreatic Cancer Patients: Focus on Pain Management and Psychiatric Therapies 2023 ·Cancer Epidemiology Biomarkers & Prevention ·John M. Allen, (unknown), Yi Guo, Jiang Bian, (unknown), Lisa Scarton, David L. DeRemer, Diana J. Wilkie	3
14	Impact of Contextual-Level Social Determinants of Health on Newer Antidiabetic Drug Adoption in Patients with Type 2 Diabetes 2023 ·International Journal of Environmental Research and Public Health ·(unknown), Hui Hu, Yi Zheng, William T. Donahoo, Yi Guo, Jie Xu, (unknown), (unknown), (unknown), Jiang Bian, Jingchuan Guo	7
15	Algorithmic fairness in computational medicine 2022 ·EBioMedicine ·Jie Xu, Yunyu Xiao, Hui Wang, Yue Ning, Elizabeth Shenkman, Jiang Bian, Fei Wang	92
16	How the clinical research community responded to the COVID-19 pandemic: an analysis of the COVID-19 clinical studies in ClinicalTrials.gov 2021 ·JAMIA Open ·Zhe He, (unknown), Xiao Luo, (unknown), Neil Charness, Jiang Bian	8
17	Sequencing of Argonaute-bound microRNA/mRNA hybrids reveals regulation of the unfolded protein response by microRNA-320a 2021 ·PLoS Genetics ·(unknown), Li Lü, (unknown), Tianqi Li, Peike Sheng, (unknown), Jixiu Shan, Lauren A. Gay, Tongjun Gu, Jiang Bian, Michael S. Kilberg, Rolf Renne, Mingyi Xie	11
18	Disparities in Pediatric Patient Portal Activation and Feature Use 2021 ·JAMIA Open ·Jennifer H. LeLaurin, Oliver T. Nguyen, Lindsay A. Thompson, Jaclyn Hall, Jiang Bian, (unknown), (unknown), Christopher A. Harle, Ramzi G. Salloum	21
19	Learning from local to global: An efficient distributed algorithm for modeling time-to-event data 2020 ·Journal of the American Medical Informatics Association ·Rui Duan, Chongliang Luo, Martijn J. Schuemie, Jiayi Tong, (unknown), Howard H. Chang, Mary Regina Boland, Jiang Bian, Hua Xu, John H. Holmes, Christopher B. Forrest, Sally C. Morton, Jesse A. Berlin, Jason H. Moore, Kevin Mahoney, Yong Chen	43
20	Prevalence of Multiple Chronic Conditions Among Older Adults in Florida and the United States: Comparative Analysis of the OneFlorida Data Trust and National Inpatient Sample 2018 ·Journal of Medical Internet Research ·Zhe He, Jiang Bian, Henry J. Carretta, (unknown), William R. Hogan, Elizabeth Shenkman, Neil Charness	52

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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