Jianwei Leng

424 total citations
24 papers, 294 citations indexed

About

Jianwei Leng is a scholar working on Rheumatology, Molecular Biology and Immunology. According to data from OpenAlex, Jianwei Leng has authored 24 papers receiving a total of 294 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Rheumatology, 6 papers in Molecular Biology and 5 papers in Immunology. Recurrent topics in Jianwei Leng's work include Biomedical Text Mining and Ontologies (6 papers), Rheumatoid Arthritis Research and Therapies (6 papers) and Topic Modeling (3 papers). Jianwei Leng is often cited by papers focused on Biomedical Text Mining and Ontologies (6 papers), Rheumatoid Arthritis Research and Therapies (6 papers) and Topic Modeling (3 papers). Jianwei Leng collaborates with scholars based in United States, Australia and Sweden. Jianwei Leng's co-authors include Brian C. Sauer, Brett R. South, Wendy W. Chapman, Chia‐Chen Teng, Grant W. Cannon, Danielle L. Mowery, Taiping He, Derek Tang, Zachary Burningham and Qing Zeng and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Bone and Joint Surgery and Journal of Traumatic Stress.

In The Last Decade

Jianwei Leng

24 papers receiving 284 citations

Peers

Jianwei Leng
Raul Guzman Perez United States
Zara Izadi United States
Kevin R. Dufendach United States
Shiyun Hu China
Jared D. Huling United States
Lindsay M. Wong United States
Pierre Elias United States
Raul Guzman Perez United States
Jianwei Leng
Citations per year, relative to Jianwei Leng Jianwei Leng (= 1×) peers Raul Guzman Perez

Countries citing papers authored by Jianwei Leng

Since Specialization
Citations

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

Fields of papers citing papers by Jianwei Leng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jianwei Leng

This figure shows the co-authorship network connecting the top 25 collaborators of Jianwei Leng. A scholar is included among the top collaborators of Jianwei Leng 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 Jianwei Leng. Jianwei Leng 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.
Moye, Jennifer, et al.. (2024). Posttraumatic Stress Disorder in Older Veterans admitted to VA Community Living Centers: Prevalence and Risk Correlates. American Journal of Geriatric Psychiatry. 33(1). 34–43. 2 indexed citations
2.
Hicken, Bret, et al.. (2022). Impact of moral injury and posttraumatic stress disorder on health care utilization and suicidality in rural and urban veterans. Journal of Traumatic Stress. 36(1). 117–128. 1 indexed citations
3.
Burningham, Zachary, et al.. (2020). Usability Testing a Potentially Inappropriate Medication Dashboard: A Core Component of the Dashboard Development Process. Applied Clinical Informatics. 11(4). 528–534. 20 indexed citations
4.
Halwani, Ahmad, Monique E. Cho, Jianwei Leng, et al.. (2019). Validation of Algorithms Used to Identify Red Blood Cell Transfusion Related Admissions in Veteran Patients with End Stage Renal Disease. SHILAP Revista de lepidopterología. 7(1). 23–23. 1 indexed citations
5.
Burningham, Zachary, Brian C. Sauer, Jared M. Hansen, et al.. (2019). VA Geriatric Scholars Program's impact on prescribing potentially inappropriate medications.. PubMed. 25(9). 425–430. 4 indexed citations
6.
Jones, Barbara, et al.. (2018). Development and Validation of a Natural Language Processing Tool to Identify Patients Treated for Pneumonia across VA Emergency Departments. Applied Clinical Informatics. 9(1). 122–128. 33 indexed citations
7.
Walsh, Jessica A., et al.. (2018). Cohort identification of axial spondyloarthritis in a large healthcare dataset: current and future methods. BMC Musculoskeletal Disorders. 19(1). 317–317. 10 indexed citations
8.
Burningham, Zachary, Jianwei Leng, Ahmad Halwani, et al.. (2018). Predicting Psychiatric Hospitalizations among Elderly Veterans with a History of Mental Health Disease. eGEMs (Generating Evidence & Methods to improve patient outcomes). 6(1). 7–7. 3 indexed citations
9.
Mowery, Danielle L., Brett R. South, Lee M. Christensen, et al.. (2016). Normalizing acronyms and abbreviations to aid patient understanding of clinical texts: ShARe/CLEF eHealth Challenge 2013, Task 2. Journal of Biomedical Semantics. 7(1). 43–43. 19 indexed citations
10.
Sauer, Brian C., Barbara Jones, Gary Globe, et al.. (2016). Performance of an NLP Tool to extract PFT reports from Structured and Semi-Structured VA data. SHILAP Revista de lepidopterología. 4(1). 10–10. 12 indexed citations
11.
Leng, Jianwei, Grant W. Cannon, Marlene J. Egger, et al.. (2016). The use of natural language processing on narrative medication schedules to compute average weekly dose. Pharmacoepidemiology and Drug Safety. 25(12). 1414–1424. 4 indexed citations
12.
Sauer, Brian C., Chia‐Chen Teng, Taiping He, et al.. (2015). Treatment patterns and annual biologic costs in US veterans with rheumatic conditions or psoriasis. Journal of Medical Economics. 19(1). 34–43. 11 indexed citations
13.
Sauer, Brian C., Tao He, Jianwei Leng, et al.. (2015). Effectiveness and costs of biologics in veterans with rheumatoid arthritis. 7(6). 280–289. 6 indexed citations
14.
Leng, Jianwei, et al.. (2014). Performance of NLP tool designed to identify and extract biologic drug infusion data from clinical notes. Value in Health. 17(3). A187–A187. 1 indexed citations
15.
Leng, Jianwei, Grant W. Cannon, Xuesong Zhou, et al.. (2014). Accuracy of a natural language processing software designed to compute average weekly dose from narrative medication schedule. Value in Health. 17(3). A187–A188. 2 indexed citations
16.
South, Brett R., Danielle L. Mowery, Ying Suo, et al.. (2014). Evaluating the effects of machine pre-annotation and an interactive annotation interface on manual de-identification of clinical text. Journal of Biomedical Informatics. 50. 162–172. 38 indexed citations
17.
Nelson, Scott D., Chia‐Chen Teng, Jianwei Leng, et al.. (2014). The use of natural language processing of infusion notes to identify outpatient infusions. Pharmacoepidemiology and Drug Safety. 24(1). 86–92. 15 indexed citations
18.
Leng, Jianwei, et al.. (2013). Improving Efficiency in Text Extraction using the Extendable and Accumulable Text Extraction Platform (EATEP).. AMIA. 1 indexed citations
19.
Mowery, Danielle L., et al.. (2013). Creating a Reference Standard of Acronym and Abbreviation Annotations for the ShARe/CLEF eHealth Challenge 2013.. AMIA. 1 indexed citations
20.
South, Brett R., et al.. (2012). A Prototype Tool Set to Support Machine-Assisted Annotation. North American Chapter of the Association for Computational Linguistics. 130–139. 29 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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