Wai-Tat Fu
Impact in
- General Decision Sciences top 5%
- Decision-Making and Behavioral Economics
- Cognitive Neuroscience top 10%
- Neural and Behavioral Psychology Studies
- Neural dynamics and brain function
Papers in
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- Neural and Behavioral Psychology Studies 4
-
- Behavioral and Psychological Studies 3
- Child and Animal Learning Development 3
- Co-authors
- John R. Anderson (3 shared papers)Chris R. Sims (1 shared paper)Michael J. Schoelles (1 shared paper)Wayne D. Gray (1 shared paper)Anbang Xu (1 shared paper)Xiao Yang (1 shared paper)Daniel Morrow (2 shared papers)Xiaomei Liu (1 shared paper)
- Journals
- Psychological Review (1 paper)Journal of Applied Research in Memory and Cognition (1 paper)Psychological Research (1 paper)Journal of Experimental Psychology General (1 paper)Psychology and Aging (1 paper)
- Partner nations
- United StatesChinaYemen
In The Last Decade
Wai-Tat Fu
15 papers receiving 465 citations
Peers
Comparison fields: 5 of 80
- General Decision Sciences 62
- Cognitive Neuroscience 226
- Information Systems and Management 63
- Human-Computer Interaction 45
- Developmental and Educational Psychology 83
Countries citing papers authored by Wai-Tat Fu
This map shows the geographic impact of Wai-Tat Fu'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 Wai-Tat Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wai-Tat Fu more than expected).
Fields of papers citing papers by Wai-Tat Fu
This network shows the impact of papers produced by Wai-Tat Fu. 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 Wai-Tat Fu. The network helps show where Wai-Tat Fu may publish in the future.
Co-authors
The 20 scholars most cited alongside Wai-Tat Fu, 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 | 2006 | 266 | |
| 2 | 2006 | 123 | |
| 3 | 2007 | 44 | |
| 4 | 2008 | 17 | |
| 5 | 2014 | 15 | |
| 6 | 2016 | 11 | |
| 7 | 2016 | 10 | |
| 8 | 2010 | 6 | |
| 9 | 2018 | 5 | |
| 10 | 2015 | 3 | |
| 11 | 2007 | 3 | |
| 12 | 2008 | 2 | |
| 13 | 2010 | 2 | |
| 14 | 2020 | 1 | |
| 15 | 2018 | 1 |
About Wai-Tat Fu
Wai-Tat Fu is a scholar working on Cognitive Neuroscience, Developmental and Educational Psychology, Automotive Engineering, Artificial Intelligence and Management Information Systems, having authored 15 papers that have together received 509 indexed citations. Recurring topics across this work include Neural and Behavioral Psychology Studies (4 papers), Behavioral and Psychological Studies (3 papers), Spatial Cognition and Navigation (3 papers), Cognitive Science and Mapping (3 papers), Child and Animal Learning Development (3 papers), FinTech, Crowdfunding, Digital Finance (2 papers), Sharing Economy and Platforms (2 papers) and Microfinance and Financial Inclusion (2 papers). The work is most often cited by research in General Decision Sciences (62 citations), Cognitive Neuroscience (226 citations), Information Systems and Management (63 citations), Human-Computer Interaction (45 citations) and Developmental and Educational Psychology (83 citations). Wai-Tat Fu has collaborated with scholars based in United States, China and Yemen. Frequent co-authors include John R. Anderson, Chris R. Sims, Michael J. Schoelles, Wayne D. Gray, Anbang Xu, Xiao Yang, Daniel Morrow, Xiaomei Liu, Brennan R. Payne and Jessie Chin. Their work appears in journals such as Psychological Review, Journal of Applied Research in Memory and Cognition, Psychological Research, Journal of Experimental Psychology General and Psychology and Aging.
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.