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
- Co-authors
- John R. AndersonWayne D. GrayMichael J. SchoellesChris R. SimsDaniel MorrowXiaomei LiuZiang XiaoElizabeth A. L. Stine‐Morrow
- Journals
- Psychological Research (1 paper)Psychological Review (1 paper)Psychology and Aging (1 paper)Journal of Applied Research in Memory and Cognition (1 paper)Journal of Experimental Psychology General (1 paper)
- Partner nations
- United StatesChina
In The Last Decade
Wai-Tat Fu
10 papers receiving 385 citations
Peers
Comparison fields: 5 of 83
- General Decision Sciences 58
- Cognitive Neuroscience 207
- Information Systems and Management 53
- Human-Computer Interaction 39
- Developmental and Educational Psychology 74
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-authorship network
The 15 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 | 2020 | 1 | |
| 2 | 2018 | 1 | |
| 3 | 2018 | 5 | |
| 4 | 2016 | 8 | |
| 5 | 2010 | 3 | |
| 6 | 2008 | 16 | |
| 7 | 2008 | 2 | |
| 8 | 2007 | 39 | |
| 9 | 2006 | 105 | |
| 10 | 2006 | 235 |
About Wai-Tat Fu
Wai-Tat Fu is a scholar working on General Decision Sciences, Family Practice, Developmental and Educational Psychology, Cognitive Neuroscience and Geriatrics and Gerontology, having authored 10 papers that have together received 415 indexed citations. Recurring topics across this work include Neural and Behavioral Psychology Studies (4 papers), Behavioral and Psychological Studies (3 papers), Child and Animal Learning Development (3 papers), Cognitive Science and Mapping (3 papers), Spatial Cognition and Navigation (2 papers), Visual and Cognitive Learning Processes (1 paper), Motor Control and Adaptation (1 paper) and Neural dynamics and brain function (1 paper). The work is most often cited by research in General Decision Sciences (58 citations), Cognitive Neuroscience (207 citations), Information Systems and Management (53 citations), Human-Computer Interaction (39 citations) and Developmental and Educational Psychology (74 citations). Wai-Tat Fu has collaborated with scholars based in United States and China. Frequent co-authors include John R. Anderson, Wayne D. Gray, Michael J. Schoelles, Chris R. Sims, Daniel Morrow, Xiaomei Liu, Ziang Xiao, Elizabeth A. L. Stine‐Morrow, Sanorita Dey and Jessie Chin. Their work appears in journals such as Psychological Research, Psychological Review, Psychology and Aging, Journal of Applied Research in Memory and Cognition and Journal of Experimental Psychology General.
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.