Kyle Lo
Impact in
- Artificial Intelligence top 0.2%
- Topic Modeling
- Advanced Text Analysis Techniques
- Natural Language Processing Techniques
- Domain Adaptation and Few-Shot Learning
- Health Informatics top 2%
Papers in
-
- Topic Modeling 34
- Natural Language Processing Techniques 13
- Advanced Text Analysis Techniques 6
-
- Information Retrieval and Search Behavior 15
- Recommender Systems and Techniques 5
- Co-authors
- Iz Beltagy (7 shared papers)Arman Cohan (15 shared papers)Noah A. Smith (4 shared papers)Doug Downey (11 shared papers)Lucy Lu Wang (14 shared papers)Ana Marasović (1 shared paper)Suchin Gururangan (1 shared paper)Swabha Swayamdipta (1 shared paper)
- Journals
- AI Magazine (2 papers)Transactions of the Association for Computational Linguistics (2 papers)ACM Transactions on Interactive Intelligent Systems (2 papers)IEEE Internet of Things Journal (1 paper)Nature (1 paper)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Kyle Lo
61 papers receiving 5.5k citations
Kyle Lo's Hit Papers
Peers
Comparison fields: 5 of 141
- Artificial Intelligence 3.4k
- Health Informatics 135
- Statistics, Probability and Uncertainty 385
- Information Systems 930
- General Social Sciences 124
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 66 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 | 2102 |
| 2 | Don’t Stop Pretraining: Adapt Language Models to Domains and Tasks Hit paper breakdown → | 2020 | 1287 |
| 3 | S2ORC: The Semantic Scholar Open Research Corpus Hit paper breakdown → | 2020 | 300 |
| 4 | 2018 | 236 | |
| 5 | Fact or Fiction: Verifying Scientific Claims Hit paper breakdown → | 2020 | 235 |
| 6 | 2019 | 115 | |
| 7 | 2020 | 114 | |
| 8 | SciBERT: Pretrained Contextualized Embeddings for Scientific Text | 2019 | 110 |
| 9 | 2021 | 103 | |
| 10 | 2020 | 88 | |
| 11 | 2020 | 86 | |
| 12 | 2020 | 79 | |
| 13 | 2021 | 72 | |
| 14 | 2021 | 72 | |
| 15 | 2023 | 51 | |
| 16 | 2023 | 46 | |
| 17 | 2024 | 41 | |
| 18 | 2023 | 37 | |
| 19 | 2018 | 35 | |
| 20 | 2023 | 35 |
About Kyle Lo
Kyle Lo is a scholar working on Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition, Statistics, Probability and Uncertainty and General Social Sciences, having authored 66 papers that have together received 5.7k indexed citations. Recurring topics across this work include Topic Modeling (34 papers), Information Retrieval and Search Behavior (15 papers), Natural Language Processing Techniques (13 papers), Advanced Text Analysis Techniques (6 papers), Handwritten Text Recognition Techniques (5 papers), scientometrics and bibliometrics research (5 papers), Multimodal Machine Learning Applications (5 papers) and Recommender Systems and Techniques (5 papers). The work is most often cited by research in Artificial Intelligence (3.4k citations), Health Informatics (135 citations), Statistics, Probability and Uncertainty (385 citations), Information Systems (930 citations) and General Social Sciences (124 citations). Kyle Lo has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Iz Beltagy, Arman Cohan, Noah A. Smith, Doug Downey, Lucy Lu Wang, Ana Marasović, Suchin Gururangan, Swabha Swayamdipta, Daniel S. Weld and Rodney Kinney. Their work appears in journals such as AI Magazine, Transactions of the Association for Computational Linguistics, ACM Transactions on Interactive Intelligent Systems, IEEE Internet of Things Journal and Nature.
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.