Kyle Lo
Impact in
- Health Informatics top 2%
- Artificial Intelligence top 0.5%
- Topic Modeling
- Natural Language Processing Techniques
- Advanced Text Analysis Techniques
- Machine Learning in Healthcare
- Semantic Web and Ontologies
Papers in
-
- Topic Modeling 30
- Natural Language Processing Techniques 19
- Advanced Text Analysis Techniques 10
- Text Readability and Simplification 4
- Advanced Graph Neural Networks 3
- Semantic Web and Ontologies 3
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- Biomedical Text Mining and Ontologies 11
- Co-authors
- Arman Cohan (13 shared papers)Iz Beltagy (6 shared papers)Lucy Lu Wang (13 shared papers)Daniel S. Weld (11 shared papers)Mark E Neumann (2 shared papers)Rodney Kinney (2 shared papers)Madeleine van Zuylen (1 shared paper)Sergey Feldman (1 shared paper)
- Journals
- ACM Transactions on Interactive Intelligent Systems (2 papers)Transactions of the Association for Computational Linguistics (2 papers)Journal of the American Medical Informatics Association (1 paper)Briefings in Bioinformatics (1 paper)Journal of Child Neurology (1 paper)
- Partner nations
- United StatesCanadaDenmark
In The Last Decade
Kyle Lo
39 papers receiving 2.5k citations
Kyle Lo's Hit Papers
Peers
Comparison fields: 5 of 152
- Health Informatics 82
- Artificial Intelligence 1.9k
- Information Systems 325
- General Social Sciences 46
- Management Science and Operations Research 137
Countries citing papers authored by Kyle Lo
This map shows the geographic impact of Kyle Lo'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 Kyle Lo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kyle Lo more than expected).
Fields of papers citing papers by Kyle Lo
This network shows the impact of papers produced by Kyle Lo. 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 Kyle Lo. The network helps show where Kyle Lo may publish in the future.
Co-authors
The 25 scholars most cited alongside Kyle Lo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | SciBERT: A Pretrained Language Model for Scientific Text Hit paper breakdown → | 2019 | 1649 |
| 2 | 2020 | 241 | |
| 3 | 2019 | 101 | |
| 4 | SciBERT: Pretrained Contextualized Embeddings for Scientific Text | 2019 | 89 |
| 5 | 2020 | 66 | |
| 6 | 2020 | 63 | |
| 7 | 2020 | 62 | |
| 8 | 2021 | 49 | |
| 9 | 2023 | 39 | |
| 10 | 2004 | 29 | |
| 11 | 2022 | 24 | |
| 12 | 2023 | 23 | |
| 13 | 2022 | 22 | |
| 14 | 2022 | 21 | |
| 15 | 2022 | 21 | |
| 16 | 2021 | 18 | |
| 17 | 2023 | 16 | |
| 18 | 2022 | 15 | |
| 19 | 2021 | 15 | |
| 20 | 2022 | 14 |
About Kyle Lo
Kyle Lo is a scholar working on Artificial Intelligence, Molecular Biology, Computer Vision and Pattern Recognition, Information Systems and Sociology and Political Science, having authored 47 papers that have together received 2.6k indexed citations. Recurring topics across this work include Topic Modeling (30 papers), Natural Language Processing Techniques (19 papers), Biomedical Text Mining and Ontologies (11 papers), Advanced Text Analysis Techniques (10 papers), Text Readability and Simplification (4 papers), Advanced Graph Neural Networks (3 papers), Multimodal Machine Learning Applications (3 papers) and Semantic Web and Ontologies (3 papers). The work is most often cited by research in Health Informatics (82 citations), Artificial Intelligence (1.9k citations), Information Systems (325 citations), General Social Sciences (46 citations) and Management Science and Operations Research (137 citations). Kyle Lo has collaborated with scholars based in United States, Canada and Denmark. Frequent co-authors include Arman Cohan, Iz Beltagy, Lucy Lu Wang, Daniel S. Weld, Mark E Neumann, Rodney Kinney, Madeleine van Zuylen, Sergey Feldman, Elly Trepman and Oren Etzioni. Their work appears in journals such as ACM Transactions on Interactive Intelligent Systems, Transactions of the Association for Computational Linguistics, Journal of the American Medical Informatics Association, Briefings in Bioinformatics and Journal of Child Neurology.
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.