William Choi
Impact in
- Signal Processing top 5%
- Advanced Malware Detection Techniques
- Software top 10%
Papers in
-
- Human-Automation Interaction and Safety 3
- Safety Warnings and Signage 2
-
- Topic Modeling 1
- Reinforcement Learning in Robotics 1
- Semantic Web and Ontologies 1
- Co-authors
- Carl E. Landwehr (1 shared paper)John McDermott (1 shared paper)Jwu‐Sheng Hu (4 shared papers)Chun Wang (1 shared paper)Barbara S. Chaparro (1 shared paper)Jason S. McCarley (1 shared paper)Kaiping Peng (1 shared paper)Xiaohui Wu (2 shared papers)
- Journals
- ACM Computing Surveys (1 paper)Applied Ergonomics (1 paper)IEEE Transactions on Human-Machine Systems (1 paper)Accident Analysis & Prevention (1 paper)Proceedings of the Human Factors and Ergonomics Society Annual Meeting (1 paper)
- Partner nations
- United StatesChinaCanada
In The Last Decade
William Choi
8 papers receiving 397 citations
Peers
Comparison fields: 5 of 62
- Signal Processing 161
- Software 37
- Information Systems 182
- Computer Networks and Communications 166
- Artificial Intelligence 142
Countries citing papers authored by William Choi
This map shows the geographic impact of William Choi'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 William Choi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William Choi more than expected).
Fields of papers citing papers by William Choi
This network shows the impact of papers produced by William Choi. 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 William Choi. The network helps show where William Choi may publish in the future.
Co-authors
The 16 scholars most cited alongside William Choi, 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 | 1994 | 304 | |
| 2 | 2017 | 63 | |
| 3 | 2015 | 59 | |
| 4 | 2008 | 19 | |
| 5 | 2018 | 7 | |
| 6 | 2015 | 6 | |
| 7 | 2015 | 3 | |
| 8 | 2018 | 2 |
About William Choi
William Choi is a scholar working on Social Psychology, Artificial Intelligence, Safety, Risk, Reliability and Quality, Experimental and Cognitive Psychology and Control and Systems Engineering, having authored 8 papers that have together received 463 indexed citations. Recurring topics across this work include Human-Automation Interaction and Safety (3 papers), Sleep and Work-Related Fatigue (2 papers), Traffic and Road Safety (2 papers), Safety Warnings and Signage (2 papers), Information and Cyber Security (1 paper), Topic Modeling (1 paper), Reinforcement Learning in Robotics (1 paper) and Semantic Web and Ontologies (1 paper). The work is most often cited by research in Signal Processing (161 citations), Software (37 citations), Information Systems (182 citations), Computer Networks and Communications (166 citations) and Artificial Intelligence (142 citations). William Choi has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Carl E. Landwehr, John McDermott, Jwu‐Sheng Hu, Chun Wang, Barbara S. Chaparro, Jason S. McCarley, Kaiping Peng, Xiaohui Wu, Aman Kumar and Daphne Koller. Their work appears in journals such as ACM Computing Surveys, Applied Ergonomics, IEEE Transactions on Human-Machine Systems, Accident Analysis & Prevention and Proceedings of the Human Factors and Ergonomics Society Annual Meeting.
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.