Jason J. Lau

674 total citations
12 papers, 385 citations indexed

About

Jason J. Lau is a scholar working on Molecular Biology, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Jason J. Lau has authored 12 papers receiving a total of 385 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 3 papers in Computer Vision and Pattern Recognition and 3 papers in Artificial Intelligence. Recurrent topics in Jason J. Lau's work include Multimodal Machine Learning Applications (3 papers), Biomedical Text Mining and Ontologies (2 papers) and Topic Modeling (2 papers). Jason J. Lau is often cited by papers focused on Multimodal Machine Learning Applications (3 papers), Biomedical Text Mining and Ontologies (2 papers) and Topic Modeling (2 papers). Jason J. Lau collaborates with scholars based in United States, United Kingdom and Australia. Jason J. Lau's co-authors include Asma Ben Abacha, Dina Demner‐Fushman, Li Zhou, Kimberly G. Blumenthal, Paige G. Wickner, Foster Goss, Diane L. Seger, Frank Chang, Joseph M. Plasek and Clement J. McDonald and has published in prestigious journals such as Journal of the American Medical Informatics Association, BMJ Open and Annals of Biomedical Engineering.

In The Last Decade

Jason J. Lau

11 papers receiving 375 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jason J. Lau United States 9 164 161 57 42 42 12 385
Yuta Nakamura Japan 10 78 0.5× 25 0.2× 38 0.7× 6 0.1× 114 2.7× 36 318
Shusuke Hiragi Japan 11 61 0.4× 30 0.2× 14 0.2× 7 0.2× 112 2.7× 37 382
Kun Wu China 9 46 0.3× 28 0.2× 60 1.1× 17 0.4× 30 0.7× 17 519
Eric LaRose United States 6 86 0.5× 23 0.1× 47 0.8× 2 0.0× 30 0.7× 7 198
Cheng Chun Lee Taiwan 8 136 0.8× 61 0.4× 58 1.0× 3 0.1× 89 2.1× 19 335
Eiichiro Uchino Japan 10 58 0.4× 21 0.1× 142 2.5× 7 0.2× 36 0.9× 25 385
Zirun Zhao United States 11 117 0.7× 19 0.1× 43 0.8× 9 0.2× 221 5.3× 21 553
Yeongsic Kim South Korea 10 42 0.3× 9 0.1× 60 1.1× 13 0.3× 53 1.3× 31 364

Countries citing papers authored by Jason J. Lau

Since Specialization
Citations

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

Fields of papers citing papers by Jason J. Lau

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jason J. Lau. 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 Jason J. Lau. The network helps show where Jason J. Lau may publish in the future.

Co-authorship network of co-authors of Jason J. Lau

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

All Works

12 of 12 papers shown
1.
Finlayson, Samuel G., et al.. (2025). Accuracy of Artificial Intelligence vs Professionally Translated Discharge Instructions. JAMA Network Open. 8(9). e2532312–e2532312.
2.
Baik, Seo Hyon, Jason J. Lau, Vojtech Huser, & Clement J. McDonald. (2020). Association between tendon ruptures and use of fluoroquinolone, and other oral antibiotics: a 10-year retrospective study of 1 million US senior Medicare beneficiaries. BMJ Open. 10(12). e034844–e034844. 22 indexed citations
3.
Abacha, Asma Ben, et al.. (2018). NLM at ImageCLEF 2018 Visual Question Answering in the Medical Domain.. CLEF (Working Notes). 20 indexed citations
4.
Lau, Jason J., et al.. (2018). A dataset of clinically generated visual questions and answers about radiology images. Scientific Data. 5(1). 180251–180251. 185 indexed citations
5.
Abacha, Asma Ben, et al.. (2018). Visual Question Answering in Radiology (VQA-RAD). OSF Preprints (OSF Preprints). 6 indexed citations
6.
Erskine, Nathaniel, Jorge Yarzebski, Darleen Lessard, et al.. (2016). Decade Long Trends (2001–2011) in Duration of Pre‐Hospital Delay Among Elderly Patients Hospitalized for an Acute Myocardial Infarction. Journal of the American Heart Association. 5(4). e002664–e002664. 26 indexed citations
7.
Seger, Diane L., Foster Goss, Kenneth Lai, et al.. (2016). Standard Information Models for Representing Adverse Sensitivity Information in Clinical Documents. Methods of Information in Medicine. 55(2). 151–157. 6 indexed citations
8.
Liu, Shuo, et al.. (2016). Active surveillance is suitable for intermediate term follow‐up of renal oncocytoma diagnosed by percutaneous core biopsy. British Journal of Urology. 118(S3). 30–34. 30 indexed citations
9.
Plasek, Joseph M., Foster Goss, Kenneth Lai, et al.. (2015). Food entries in a large allergy data repository. Journal of the American Medical Informatics Association. 23(e1). e79–e87. 21 indexed citations
10.
Lau, Jason J., Raymond Wang, & Lauren D. Black. (2014). Development of an Arbitrary Waveform Membrane Stretcher for Dynamic Cell Culture. Annals of Biomedical Engineering. 42(5). 1062–1073. 9 indexed citations
11.
Blumenthal, Kimberly G., Paige G. Wickner, Jason J. Lau, & Li Zhou. (2014). Stevens-Johnson syndrome and toxic epidermal necrolysis: A cross-sectional analysis of patients in an integrated allergy repository of a large health care system. The Journal of Allergy and Clinical Immunology In Practice. 3(2). 277–280.e1. 27 indexed citations
12.
Goss, Foster, Joseph M. Plasek, Jason J. Lau, et al.. (2014). An evaluation of a natural language processing tool for identifying and encoding allergy information in emergency department clinical notes.. PubMed. 2014. 580–8. 33 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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