Alan Chan
Impact in
- Safety Research top 5%
- Ethics and Social Impacts of AI
Papers in
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- Ethics and Social Impacts of AI 6
-
- Reinforcement Learning in Robotics 2
- Explainable Artificial Intelligence (XAI) 1
- Neural Networks and Applications 1
- Co-authors
- David Krueger (2 shared papers)Micah Carroll (1 shared paper)Herbie Bradley (2 shared papers)Daniel Graves (2 shared papers)Richard S. Sutton (2 shared papers)Silviu Pitis (2 shared papers)Noam Kolt (1 shared paper)Markus Anderljung (1 shared paper)
- Journals
- arXiv (Cornell University) (3 papers)ACM Conference on Fairness, Accountability, and Transparency (FAccT) (1 paper)International Conference on Learning Representations (1 paper)AAAI Publications (The Association for the Advancement of Artificial Intelligence (AAAI)) (1 paper)Proceedings of the AAAI/ACM Conference on AI Ethics and Society (2 papers)
- Partner nations
- CanadaUnited KingdomUnited States
In The Last Decade
Alan Chan
8 papers receiving 209 citations
Peers
Comparison fields: 5 of 44
- Safety Research 90
- Health Informatics 9
- Artificial Intelligence 86
- Human-Computer Interaction 12
- Computational Mathematics 1
Countries citing papers authored by Alan Chan
This map shows the geographic impact of Alan 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 Alan Chan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alan Chan more than expected).
Fields of papers citing papers by Alan Chan
This network shows the impact of papers produced by Alan 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 Alan Chan. The network helps show where Alan Chan may publish in the future.
Co-authors
The 13 scholars most cited alongside Alan 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 | 2023 | 78 | |
| 2 | 2023 | 37 | |
| 3 | 2024 | 34 | |
| 4 | 2024 | 34 | |
| 5 | 2020 | 16 | |
| 6 | 2023 | 9 | |
| 7 | 2020 | 8 | |
| 8 | Training Recurrent Neural Networks Online by Learning Explicit State Variables | 2020 | 3 |
| 9 | 2025 | 0 |
About Alan Chan
Alan Chan is a scholar working on Safety Research, Artificial Intelligence, Nuclear Energy and Engineering, Waste Management and Disposal and Infectious Diseases, having authored 9 papers that have together received 219 indexed citations. Recurring topics across this work include Ethics and Social Impacts of AI (6 papers), Reinforcement Learning in Robotics (2 papers), Explainable Artificial Intelligence (XAI) (1 paper) and Neural Networks and Applications (1 paper). The work is most often cited by research in Safety Research (90 citations), Health Informatics (9 citations), Artificial Intelligence (86 citations), Human-Computer Interaction (12 citations) and Computational Mathematics (1 citation). Alan Chan has collaborated with scholars based in Canada, United Kingdom and United States. Frequent co-authors include David Krueger, Micah Carroll, Herbie Bradley, Daniel Graves, Richard S. Sutton, Silviu Pitis, Noam Kolt, Markus Anderljung, Lennart Heim and Emma Bluemke. Their work appears in journals such as arXiv (Cornell University), ACM Conference on Fairness, Accountability, and Transparency (FAccT), International Conference on Learning Representations, AAAI Publications (The Association for the Advancement of Artificial Intelligence (AAAI)) and Proceedings of the AAAI/ACM Conference on AI Ethics and Society.
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.