Weisong Liu

1.4k total citations
45 papers, 880 citations indexed

About

Weisong Liu is a scholar working on Molecular Biology, Artificial Intelligence and General Health Professions. According to data from OpenAlex, Weisong Liu has authored 45 papers receiving a total of 880 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 10 papers in Artificial Intelligence and 5 papers in General Health Professions. Recurrent topics in Weisong Liu's work include Biomedical Text Mining and Ontologies (11 papers), Bioinformatics and Genomic Networks (7 papers) and Topic Modeling (4 papers). Weisong Liu is often cited by papers focused on Biomedical Text Mining and Ontologies (11 papers), Bioinformatics and Genomic Networks (7 papers) and Topic Modeling (4 papers). Weisong Liu collaborates with scholars based in United States, China and Australia. Weisong Liu's co-authors include Hong Yu, Fei Li, Feifan Liu, Abhyuday Jagannatha, Mary Shimoyama, G. Thomas Hayman, Melinda R. Dwinell, Rajni Nigam, Jennifer R. Smith and Jeff De Pons and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Applied Catalysis B: Environmental.

In The Last Decade

Weisong Liu

41 papers receiving 852 citations

Peers

Weisong Liu

GENET

HIM

EPIDE

Mary Regina Boland United States

Todd Ferris United States

Andrew Wen United States

Jingqi Wang China

Qiang Wei China

Louise Deléger France

Páll Jónsson United Kingdom

Yuqun Zeng China

Daniel Bean United Kingdom

Honghan Wu United Kingdom

Mary Regina Boland United States

Weisong Liu

378 ×0.9

346 ×1.2

85 ×1.1

GENET

123 ×2.0

HIM

84 ×1.4

EPIDE

Citations per year, relative to Weisong Liu Weisong Liu (= 1×) peers Mary Regina Boland

Countries citing papers authored by Weisong Liu

Since Specialization

Citations

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

Fields of papers citing papers by Weisong Liu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weisong Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Weisong Liu. A scholar is included among the top collaborators of Weisong Liu 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 Weisong Liu. Weisong Liu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Tsai, Jack, et al.. (2025). Development of a Surveillance System to Identify Incidence of Evictions Among Patients in Veterans Affairs Medical Centers Across the United States. Journal of Community Health. 50(6). 1002–1011.

Mitra, Avijit, Kun Chen, Weisong Liu, Ronald C. Kessler, & Hong Yu. (2025). Post-discharge suicide prediction among US veterans using natural language processing-enriched social and behavioral determinants of health. PubMed. 4(1). 8–8. 1 indexed citations

Reisman, Joel I., Kathleen F. Carlson, Weisong Liu, et al.. (2025). Association between PTSD and health-related social needs in US Veterans: an NLP analysis using Veterans Health Administration Data. Journal of Affective Disorders. 395(Pt A). 120643–120643.

Cui, Huijuan, Weisong Liu, Chunling Ma, et al.. (2024). Converting CO2 to single-cell protein via an integrated electrocatalytic-biosynthetic system. Applied Catalysis B: Environmental. 350. 123946–123946. 18 indexed citations

Liu, Weisong, Jiang Liu, Yuanming Wang, et al.. (2024). Bioelectrocatalytic carbon dioxide reduction by an engineered formate dehydrogenase from Thermoanaerobacter kivui. Nature Communications. 15(1). 9962–9962. 7 indexed citations

Liu, Weisong, Minhee Sung, Joel I. Reisman, et al.. (2024). ODD: A Benchmark Dataset for the Natural Language Processing Based Opioid Related Aberrant Behavior Detection. PubMed. 2024. 4338–4359. 1 indexed citations

Levy, David A., et al.. (2024). Individual factors that affect laypeople's understanding of definitions of medical jargon. Health Policy and Technology. 13(6). 100932–100932.

Tsai, Jack, et al.. (2023). Automated identification of eviction status from electronic health record notes. Journal of the American Medical Informatics Association. 30(8). 1429–1437. 7 indexed citations

Reisman, Joel I., Terri K. Pogoda, Weisong Liu, et al.. (2023). Intentional Self-Harm Among US Veterans With Traumatic Brain Injury or Posttraumatic Stress Disorder: Retrospective Cohort Study From 2008 to 2017. JMIR Public Health and Surveillance. 9. e42803–e42803. 4 indexed citations

10.

Mitra, Avijit, Richeek Pradhan, Rachel Melamed, et al.. (2023). Associations Between Natural Language Processing–Enriched Social Determinants of Health and Suicide Death Among US Veterans. JAMA Network Open. 6(3). e233079–e233079. 28 indexed citations

11.

Mitra, Avijit, Wenjun Li, Weisong Liu, et al.. (2021). Risk Factors Associated With Nonfatal Opioid Overdose Leading to Intensive Care Unit Admission: A Cross-sectional Study. JMIR Medical Informatics. 9(11). e32851–e32851. 13 indexed citations

12.

Sanghai, Saket, Weisong Liu, Weijia Wang, et al.. (2021). Prevalence of Frailty and Associations with Oral Anticoagulant Prescribing in Atrial Fibrillation. Journal of General Internal Medicine. 37(4). 730–736. 11 indexed citations

13.

Rose, Adam J., Jong Soo Lee, Dan R. Berlowitz, et al.. (2021). Guideline-discordant dosing of direct-acting oral anticoagulants in the veterans health administration. BMC Health Services Research. 21(1). 1351–1351. 2 indexed citations

14.

Chen, Jinying, et al.. (2019). Detecting Hypoglycemia Incidents Reported in Patients’ Secure Messages: Using Cost-Sensitive Learning and Oversampling to Reduce Data Imbalance. Journal of Medical Internet Research. 21(3). e11990–e11990. 29 indexed citations

15.

Li, Fei, et al.. (2019). Fine-Tuning Bidirectional Encoder Representations From Transformers (BERT)–Based Models on Large-Scale Electronic Health Record Notes: An Empirical Study. JMIR Medical Informatics. 7(3). e14830–e14830. 116 indexed citations

16.

Hu, Baotian, Feifan Liu, Weisong Liu, et al.. (2018). Detection of Bleeding Events in Electronic Health Record Notes Using Convolutional Neural Network Models Enhanced With Recurrent Neural Network Autoencoders: Deep Learning Approach. JMIR Medical Informatics. 7(1). e10788–e10788. 26 indexed citations

17.

Pradhan, Richeek, et al.. (2018). Automatic extraction of quantitative data from ClinicalTrials.gov to conduct meta-analyses. Journal of Clinical Epidemiology. 105. 92–100. 26 indexed citations

18.

Wang, Ying, et al.. (2017). Oral and maxillofacial non-Hodgkin lymphomas. Medicine. 96(35). e7890–e7890. 14 indexed citations

19.

Shimoyama, Mary, Jeff De Pons, G. Thomas Hayman, et al.. (2014). The Rat Genome Database 2015: genomic, phenotypic and environmental variations and disease. Nucleic Acids Research. 43(D1). D743–D750. 164 indexed citations

20.

Shih, Sheng-Wen, et al.. (1998). New closed-form solution for kinematic parameter identification of a binocular head using point measurements. IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics). 28(2). 258–267. 4 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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