Li Zhou

5.4k total citations · 1 hit paper
172 papers, 3.4k citations indexed

About

Li Zhou is a scholar working on Artificial Intelligence, Molecular Biology and Health Information Management. According to data from OpenAlex, Li Zhou has authored 172 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Artificial Intelligence, 33 papers in Molecular Biology and 28 papers in Health Information Management. Recurrent topics in Li Zhou's work include Biomedical Text Mining and Ontologies (32 papers), Drug-Induced Adverse Reactions (27 papers) and Electronic Health Records Systems (24 papers). Li Zhou is often cited by papers focused on Biomedical Text Mining and Ontologies (32 papers), Drug-Induced Adverse Reactions (27 papers) and Electronic Health Records Systems (24 papers). Li Zhou collaborates with scholars based in United States, China and United Kingdom. Li Zhou's co-authors include Kimberly G. Blumenthal, David W. Bates, Kenneth Lai, George Hripcsak, Foster Goss, Maxim Topaz, Liqin Wang, Joseph M. Plasek, Frank Chang and Diane L. Seger and has published in prestigious journals such as JAMA, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Li Zhou

160 papers receiving 3.3k 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.

Examination of Stigmatizing Language in the Electronic Health Record

2022 99 citations David W. Bates, Li Zhou et al. JAMA Network Open profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Li Zhou United States	34	842	564	558	541	389	172	3.4k
Maxim Topaz United States	31	565 0.7×	336 0.6×	527 0.9×	210 0.4×	675 1.7×	184	3.0k
Mark G. Weiner United States	34	269 0.3×	359 0.6×	370 0.7×	316 0.6×	536 1.4×	145	4.4k
Nicole Pratt Australia	38	392 0.5×	346 0.6×	338 0.6×	384 0.7×	560 1.4×	214	6.6k
Johan van der Lei Netherlands	40	549 0.7×	410 0.7×	879 1.6×	862 1.6×	714 1.8×	174	6.5k
Gianluca Trifirò Italy	46	234 0.3×	821 1.5×	177 0.3×	792 1.5×	323 0.8×	270	7.0k
Sengwee Toh United States	40	210 0.2×	202 0.4×	257 0.5×	356 0.7×	311 0.8×	200	5.5k
Eyal Oren United States	27	560 0.7×	174 0.3×	93 0.2×	212 0.4×	156 0.4×	130	3.0k
Spiros Denaxas United Kingdom	40	614 0.7×	119 0.2×	490 0.9×	787 1.5×	586 1.5×	186	7.7k
Patrick Ryan United States	49	1.3k 1.6×	509 0.9×	1.1k 1.9×	1.4k 2.6×	441 1.1×	217	8.7k
Peter R. Rijnbeek Netherlands	31	818 1.0×	74 0.1×	426 0.8×	487 0.9×	158 0.4×	120	4.3k

Countries citing papers authored by Li Zhou

Since Specialization

Citations

This map shows the geographic impact of Li Zhou'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 Li Zhou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Li Zhou more than expected).

Fields of papers citing papers by Li Zhou

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Li Zhou. 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 Li Zhou. The network helps show where Li Zhou may publish in the future.

Co-authorship network of co-authors of Li Zhou

This figure shows the co-authorship network connecting the top 25 collaborators of Li Zhou. A scholar is included among the top collaborators of Li Zhou 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 Li Zhou. Li Zhou 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

Kang, Min‐Jeoung, Richard Schreiber, Frank Chang, et al.. (2025). Delayed Venous Thromboembolism Diagnosis and Mortality Risk. JAMA Network Open. 8(9). e2533928–e2533928.

Wyss, Richard, Jie Yang, Sebastian Schneeweiß, et al.. (2025). Natural language processing for scalable feature engineering and ultra-high-dimensional confounding adjustment in healthcare database studies. Journal of Biomedical Informatics. 169. 104882–104882. 1 indexed citations

Weberpals, Janick, Pamela A. Shaw, Kueiyu Joshua Lin, et al.. (2025). High-dimensional multiple imputation for partially observed confounders including natural language processing–derived auxiliary covariates. American Journal of Epidemiology. 195(1). 10–20. 1 indexed citations

Song, Wenyu, Ania Syrowatka, Jin Chen, et al.. (2025). An Extraction Tool for Venous Thromboembolism Symptom Identification in Primary Care Notes to Facilitate Electronic Clinical Quality Measure Reporting: Algorithm Development and Validation Study. JMIR Medical Informatics. 13. e63720–e63720.

Zhou, Li, et al.. (2025). CD-Tron: Leveraging large clinical language model for early detection of cognitive decline from electronic health records. Journal of Biomedical Informatics. 166. 104830–104830. 2 indexed citations

Zhou, Hong, et al.. (2024). Intelligent identification of risks in construction contract clauses based on semantic reasoning. Engineering Construction & Architectural Management. 32(10). 6593–6626. 2 indexed citations

Wei, Haiyan, Xu Xu, Chunxiu Gong, et al.. (2024). A Phase 3, Open-Label, Single-Arm Trial of the Efficacy and Safety of Triptorelin 6-Month Formulation in Chinese Children with Central Precocious Puberty. Advances in Therapy. 41(12). 4537–4556. 1 indexed citations

Zhou, Zhengyang, et al.. (2024). Assessing fairness in machine learning models: A study of racial bias using matched counterparts in mortality prediction for patients with chronic diseases. Journal of Biomedical Informatics. 156. 104677–104677. 4 indexed citations

Kim, Dae Hyun, Mufaddal Mahesri, Lily G. Bessette, et al.. (2023). Identifying Functional Status Impairment in People Living With Dementia Through Natural Language Processing of Clinical Documents: Cross-Sectional Study. Journal of Medical Internet Research. 26. e47739–e47739. 4 indexed citations

10.

Hua, Yining, et al.. (2023). Trend and Co-occurrence Network of COVID-19 Symptoms From Large-Scale Social Media Data: Infoveillance Study. Journal of Medical Internet Research. 25. e45419–e45419. 9 indexed citations

11.

Weiner, Scott G., et al.. (2023). The Incidence and Disparities in Use of Stigmatizing Language in Clinical Notes for Patients With Substance Use Disorder. Journal of Addiction Medicine. 17(4). 424–430. 18 indexed citations

12.

Wyss, Richard, Joseph M. Plasek, Li Zhou, et al.. (2022). Scalable Feature Engineering from Electronic Free Text Notes to Supplement Confounding Adjustment of Claims‐Based Pharmacoepidemiologic Studies. Clinical Pharmacology & Therapeutics. 113(4). 832–838. 5 indexed citations

13.

Li, Minghui, Yining Hua, Yanhui Liao, et al.. (2022). Tracking the Impact of COVID-19 and Lockdown Policies on Public Mental Health Using Social Media: Infoveillance Study. Journal of Medical Internet Research. 24(10). e39676–e39676. 14 indexed citations

14.

Rossetti, Sarah Collins, David J. Albers, Patricia C. Dykes, et al.. (2021). Healthcare Process Modeling to Phenotype Clinician Behaviors for Exploiting the Signal Gain of Clinical Expertise (HPM-ExpertSignals): Development and evaluation of a conceptual framework. Journal of the American Medical Informatics Association. 28(6). 1242–1251. 24 indexed citations

15.

Wang, Liqin, et al.. (2021). PASCLex: A comprehensive post-acute sequelae of COVID-19 (PASC) symptom lexicon derived from electronic health record clinical notes. Journal of Biomedical Informatics. 125. 103951–103951. 36 indexed citations

16.

Kaplan, Sigal, Monica L. Bertoia, Florence T. Wang, et al.. (2021). Long-term safety of extended levonorgestrel-containing oral contraceptives in the United States. Contraception. 105. 26–32. 2 indexed citations

17.

Wang, Liqin, Suzanne V. Blackley, Kimberly G. Blumenthal, et al.. (2020). A dynamic reaction picklist for improving allergy reaction documentation in the electronic health record. Journal of the American Medical Informatics Association. 27(6). 917–923. 17 indexed citations

18.

Phadke, Neelam A., Li Zhou, Christian Mancini, et al.. (2020). Allergic Reactions in Two Academic Medical Centers. Journal of General Internal Medicine. 36(6). 1814–1817. 2 indexed citations

19.

Long, Aidan A., et al.. (2019). Mining Social Media Data to Assess the Risk of Skin and Soft Tissue Infections from Allergen Immunotherapy. Journal of Allergy and Clinical Immunology. 143(2). AB58–AB58. 1 indexed citations

20.

Eichmann, David, Yi Zhang, Shannon Bradshaw, et al.. (2004). Novelty, Question Answering and Genomics: The University of Iowa Response.. Text REtrieval Conference. 14 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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