Larry Chan
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
- Applied Psychology top 10%
- Digital Mental Health Interventions
Papers in ⓘ
-
- Explainable Artificial Intelligence (XAI) 3
- Topic Modeling 3
- Reinforcement Learning in Robotics 2
- Natural Language Processing Techniques 1
- Artificial Intelligence in Games 1
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- Mental Health Research Topics 2
- Co-authors
- Upol Ehsan (4 shared papers)Mark Riedl (4 shared papers)Brent Harrison (3 shared papers)Pradyumna Tambwekar (2 shared papers)Gregory D. Abowd (2 shared papers)Kaya de Barbaro (2 shared papers)Munmun De Choudhury (1 shared paper)Koustuv Saha (1 shared paper)
- Journals
- Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies (2 papers)UKnowledge (University of Kentucky) (1 paper)Zenodo (CERN European Organization for Nuclear Research) (1 paper)
- Partner nations
- United States
In The Last Decade
Larry Chan
7 papers receiving 287 citations
Peers
Comparison fields: 5 of 63
- Health Informatics 40
- Applied Psychology 53
- Safety Research 62
- Artificial Intelligence 183
- Human-Computer Interaction 18
Countries citing papers authored by Larry Chan
This map shows the geographic impact of Larry Chan'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 Larry Chan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Larry Chan more than expected).
Fields of papers citing papers by Larry Chan
This network shows the impact of papers produced by Larry Chan. 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 Larry Chan. The network helps show where Larry Chan may publish in the future.
Co-authors
The 15 scholars most cited alongside Larry Chan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 126 | |
| 2 | 2018 | 60 | |
| 3 | 2017 | 54 | |
| 4 | 2018 | 29 | |
| 5 | 2024 | 26 | |
| 6 | Learning to Generate Natural Language Rationales for Game Playing Agents | 2018 | 2 |
| 7 | 2016 | 1 |
About Larry Chan
Larry Chan is a scholar working on Artificial Intelligence, Experimental and Cognitive Psychology, Applied Psychology, Communication and History and Philosophy of Science, having authored 7 papers that have together received 298 indexed citations. Recurring topics across this work include Explainable Artificial Intelligence (XAI) (3 papers), Topic Modeling (3 papers), Mental Health Research Topics (2 papers), Reinforcement Learning in Robotics (2 papers), Natural Language Processing Techniques (1 paper), Artificial Intelligence in Games (1 paper), Ethics and Social Impacts of AI (1 paper) and Artificial Intelligence in Healthcare and Education (1 paper). The work is most often cited by research in Health Informatics (40 citations), Applied Psychology (53 citations), Safety Research (62 citations), Artificial Intelligence (183 citations) and Human-Computer Interaction (18 citations). Larry Chan has collaborated with scholars based in United States. Frequent co-authors include Upol Ehsan, Mark Riedl, Brent Harrison, Pradyumna Tambwekar, Gregory D. Abowd, Kaya de Barbaro, Munmun De Choudhury, Koustuv Saha, Lauren Wilcox and Vedant Das Swain. Their work appears in journals such as Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies, UKnowledge (University of Kentucky) and Zenodo (CERN European Organization for Nuclear Research).
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.