Jason J. Lau
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 5%
- Molecular Biology
- Pharmacology
- Radiology, Nuclear Medicine and Imaging
- Co-authors
- Asma Ben AbachaDina Demner‐FushmanLi ZhouKimberly G. BlumenthalPaige G. WicknerDiane L. SegerFoster GossJoseph M. Plasek
- Topics
- Multimodal Machine Learning Applications (3 papers)Biomedical Text Mining and Ontologies (2 papers)Topic Modeling (2 papers)
- Journals
- Journal of the American Medical Informatics AssociationBMJ OpenAnnals of Biomedical Engineering
- Partner nations
- United StatesUnited KingdomAustralia
In The Last Decade
Jason J. Lau
11 papers receiving 375 citations
Peers
Comparison fields: 5 of 81
- Artificial Intelligence 164
- Computer Vision and Pattern Recognition 161
- Molecular Biology 57
- Pharmacology 42
- Radiology, Nuclear Medicine and Imaging 42
Countries citing papers authored by Jason J. Lau
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 22 | |
| 3 | NLM at ImageCLEF 2018 Visual Question Answering in the Medical Domain. | 20 |
| 4 | 185 | |
| 5 | 6 | |
| 6 | 6 | |
| 7 | 26 | |
| 8 | 30 | |
| 9 | 21 | |
| 10 | 9 | |
| 11 | 27 | |
| 12 | An evaluation of a natural language processing tool for identifying and encoding allergy information in emergency department clinical notes. | 33 |
About Jason J. Lau
Jason J. Lau is a scholar working on Medical Terminology, Health Informatics and Toxicology, having authored 12 papers that have together received 385 indexed citations. Recurring topics across this work include Multimodal Machine Learning Applications (3 papers), Biomedical Text Mining and Ontologies (2 papers) and Topic Modeling (2 papers). The work is most often cited by research in Medical Terminology (6 citations), Health Informatics (26 citations) and Computer Vision and Pattern Recognition (161 citations). Jason J. Lau has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Asma Ben Abacha, Dina Demner‐Fushman, Li Zhou, Kimberly G. Blumenthal, Paige G. Wickner, Diane L. Seger, Foster Goss, Joseph M. Plasek, Frank Chang and Vojtech Huser. Their work appears in journals such as Journal of the American Medical Informatics Association, BMJ Open and Annals of Biomedical Engineering.
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.