Andrew Wen

1.5k total citations
64 papers, 875 citations indexed

About

Andrew Wen is a scholar working on Artificial Intelligence, Molecular Biology and Health Information Management. According to data from OpenAlex, Andrew Wen has authored 64 papers receiving a total of 875 indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Artificial Intelligence, 33 papers in Molecular Biology and 12 papers in Health Information Management. Recurrent topics in Andrew Wen's work include Biomedical Text Mining and Ontologies (32 papers), Machine Learning in Healthcare (22 papers) and Topic Modeling (21 papers). Andrew Wen is often cited by papers focused on Biomedical Text Mining and Ontologies (32 papers), Machine Learning in Healthcare (22 papers) and Topic Modeling (21 papers). Andrew Wen collaborates with scholars based in United States, China and Lebanon. Andrew Wen's co-authors include Hongfang Liu, Sijia Liu, Sunghwan Sohn, Marlyn S. Woo, Thomas G. Keens, Feichen Shen, Sunyang Fu, Liwei Wang, Yanshan Wang and Guoqian Jiang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Blood and Bioinformatics.

In The Last Decade

Andrew Wen

56 papers receiving 854 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andrew Wen United States 18 373 278 199 108 85 64 875
Sungrim Moon United States 17 755 2.0× 532 1.9× 215 1.1× 67 0.6× 155 1.8× 48 1.2k
Kavishwar B. Wagholikar United States 20 596 1.6× 461 1.7× 283 1.4× 54 0.5× 96 1.1× 62 1.3k
Adler Perotte United States 15 297 0.8× 239 0.9× 136 0.7× 71 0.7× 41 0.5× 36 1.2k
Stephen Wu United States 20 781 2.1× 612 2.2× 153 0.8× 54 0.5× 88 1.0× 49 1.3k
Sunyang Fu United States 18 521 1.4× 259 0.9× 139 0.7× 52 0.5× 233 2.7× 86 1.1k
Yuqun Zeng China 11 366 1.0× 468 1.7× 91 0.5× 90 0.8× 55 0.6× 21 1.3k
Mary Regina Boland United States 22 346 0.9× 378 1.4× 123 0.6× 36 0.3× 72 0.8× 72 1.3k
Arianna Dagliati Italy 17 310 0.8× 236 0.8× 308 1.5× 32 0.3× 52 0.6× 49 995
Todd Lingren United States 19 415 1.1× 393 1.4× 239 1.2× 35 0.3× 74 0.9× 29 1.2k
Sergey Goryachev United States 17 623 1.7× 531 1.9× 212 1.1× 81 0.8× 39 0.5× 30 1.3k

Countries citing papers authored by Andrew Wen

Since Specialization
Citations

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

Fields of papers citing papers by Andrew Wen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrew Wen

This figure shows the co-authorship network connecting the top 25 collaborators of Andrew Wen. A scholar is included among the top collaborators of Andrew Wen 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 Andrew Wen. Andrew Wen 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.
Ruan, Xiaoyang, et al.. (2025). Deep Phenotyping of Obesity: Electronic Health Record–Based Temporal Modeling Study. Journal of Medical Internet Research. 27. e70140–e70140. 1 indexed citations
2.
Challener, Douglas W., Andrew Wen, Jungwei Fan, et al.. (2025). Flesch-Kincaid Grade Level Readability Scores to Evaluate Readability of Clinical Documentation During an Electronic Health Record Transition. PubMed. 1(1). VBWY7913–VBWY7913.
3.
Wang, Liwei, Andrew Wen, Sunyang Fu, et al.. (2025). A scoping review of OMOP CDM adoption for cancer research using real world data. npj Digital Medicine. 8(1). 189–189. 1 indexed citations
4.
Fu, Sunyang, Maria Vassilaki, Vipina K. Keloth, et al.. (2024). FedFSA: Hybrid and federated framework for functional status ascertainment across institutions. Journal of Biomedical Informatics. 152. 104623–104623. 4 indexed citations
5.
6.
Wang, Liwei, Huan He, Andrew Wen, et al.. (2023). Acquisition of a Lexicon for Family History Information: Bidirectional Encoder Representations From Transformers–Assisted Sublanguage Analysis. JMIR Medical Informatics. 11. e48072–e48072. 1 indexed citations
7.
Zong, Nansu, Andrew Wen, Sungrim Moon, et al.. (2022). Computational drug repurposing based on electronic health records: a scoping review. npj Digital Medicine. 5(1). 77–77. 30 indexed citations
8.
Wang, Liwei, Sunyang Fu, Andrew Wen, et al.. (2022). Assessment of Electronic Health Record for Cancer Research and Patient Care Through a Scoping Review of Cancer Natural Language Processing. JCO Clinical Cancer Informatics. 6(6). e2200006–e2200006. 24 indexed citations
9.
Fu, Sunyang, Xin Zhang, Guilherme S. Lopes, et al.. (2022). A hybrid model to identify fall occurrence from electronic health records. International Journal of Medical Informatics. 162. 104736–104736. 21 indexed citations
10.
Huang, Ming, Andrew Wen, Huan He, et al.. (2022). Patient Portal Messaging for Asynchronous Virtual Care During the COVID-19 Pandemic: Retrospective Analysis. JMIR Human Factors. 9(2). e35187–e35187. 19 indexed citations
11.
Zong, Nansu, Victoria Ngo, Andrew Wen, et al.. (2021). Leveraging Genetic Reports and Electronic Health Records for the Prediction of Primary Cancers: Algorithm Development and Validation Study. JMIR Medical Informatics. 9(5). e23586–e23586. 17 indexed citations
12.
Bedrick, Steven, Aaron Cohen, Yanshan Wang, et al.. (2020). Evaluation of patient-level retrieval from electronic health record data for a cohort discovery task. JAMIA Open. 3(3). 395–404. 5 indexed citations
13.
Ruddy, Kathryn J., Aaron S. Mansfield, Nansu Zong, et al.. (2020). Detecting and Filtering Immune-Related Adverse Events Signal Based on Text Mining and Observational Health Data Sciences and Informatics Common Data Model: Framework Development Study. JMIR Medical Informatics. 8(6). e17353–e17353. 8 indexed citations
14.
Fu, Sunyang, Guilherme S. Lopes, Sandeep R. Pagali, et al.. (2020). Ascertainment of Delirium Status Using Natural Language Processing From Electronic Health Records. The Journals of Gerontology Series A. 77(3). 524–530. 30 indexed citations
15.
Liu, Sijia, Sunyang Fu, Sungrim Moon, Andrew Wen, & Hongfang Liu. (2020). Predicting Section Location of Clinical Sentences using BERT Encoder - A Pilot Study.. AMIA. 2 indexed citations
16.
Wen, Andrew, Liwei Wang, Huan He, et al.. (2020). An aberration detection-based approach for sentinel syndromic surveillance of COVID-19 and other novel influenza-like illnesses. Journal of Biomedical Informatics. 113. 103660–103660. 12 indexed citations
17.
Peng, Suyuan, Feichen Shen, Andrew Wen, et al.. (2019). Detecting Lifestyle Risk Factors for Chronic Kidney Disease With Comorbidities: Association Rule Mining Analysis of Web-Based Survey Data. Journal of Medical Internet Research. 21(12). e14204–e14204. 20 indexed citations
18.
Hong, Na, Andrew Wen, Paul Kingsbury, et al.. (2019). Developing a FHIR-based EHR phenotyping framework: A case study for identification of patients with obesity and multiple comorbidities from discharge summaries. Journal of Biomedical Informatics. 99. 103310–103310. 41 indexed citations
19.
Wen, Andrew, Sunyang Fu, Sungrim Moon, et al.. (2019). Desiderata for delivering NLP to accelerate healthcare AI advancement and a Mayo Clinic NLP-as-a-service implementation. npj Digital Medicine. 2(1). 130–130. 82 indexed citations
20.
Ruddy, Kathryn J., et al.. (2019). ADEpedia-on-OHDSI: A next generation pharmacovigilance signal detection platform using the OHDSI common data model. Journal of Biomedical Informatics. 91. 103119–103119. 18 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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