Wai‐Tat Fu

3.0k total citations
105 papers, 1.8k citations indexed

About

Wai‐Tat Fu is a scholar working on Artificial Intelligence, Sociology and Political Science and Developmental and Educational Psychology. According to data from OpenAlex, Wai‐Tat Fu has authored 105 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Artificial Intelligence, 21 papers in Sociology and Political Science and 18 papers in Developmental and Educational Psychology. Recurrent topics in Wai‐Tat Fu's work include Child and Animal Learning Development (14 papers), Neural and Behavioral Psychology Studies (11 papers) and Mobile Crowdsensing and Crowdsourcing (10 papers). Wai‐Tat Fu is often cited by papers focused on Child and Animal Learning Development (14 papers), Neural and Behavioral Psychology Studies (11 papers) and Mobile Crowdsensing and Crowdsourcing (10 papers). Wai‐Tat Fu collaborates with scholars based in United States, China and Australia. Wai‐Tat Fu's co-authors include Q. Vera Liao, Wayne D. Gray, Peter Pirolli, Shih‐Wen Huang, Jessie Chin, Thomas Kannampallil, Karrie Karahalios, Ruogu Kang, Brian P. Bailey and Wei Dong and has published in prestigious journals such as Cognitive Science, Computer Graphics Forum and ACM Transactions on Computer-Human Interaction.

In The Last Decade

Wai‐Tat Fu

100 papers receiving 1.7k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Wai‐Tat Fu United States 23 494 426 393 225 213 105 1.8k
Fernando Flores Argentina 5 448 0.9× 356 0.8× 286 0.7× 102 0.5× 355 1.7× 14 1.7k
Dakuo Wang United States 28 1.0k 2.0× 225 0.5× 410 1.0× 232 1.0× 310 1.5× 95 2.4k
Preben Hansen Sweden 25 362 0.7× 259 0.6× 787 2.0× 180 0.8× 294 1.4× 126 2.1k
Christine A. Halverson United States 15 290 0.6× 240 0.6× 253 0.6× 167 0.7× 309 1.5× 29 1.2k
Clarisse Sieckenius de Souza Brazil 18 428 0.9× 590 1.4× 421 1.1× 290 1.3× 778 3.7× 106 1.9k
Raian Ali United Kingdom 26 611 1.2× 869 2.0× 748 1.9× 451 2.0× 137 0.6× 189 2.5k
Rachel Bellamy United States 24 734 1.5× 187 0.4× 756 1.9× 402 1.8× 311 1.5× 82 2.1k
Casey Dugan United States 19 547 1.1× 677 1.6× 527 1.3× 276 1.2× 204 1.0× 56 2.1k
Jacek Gwizdka United States 27 440 0.9× 443 1.0× 935 2.4× 189 0.8× 476 2.2× 120 2.5k
Elaine G. Toms Canada 28 470 1.0× 901 2.1× 942 2.4× 253 1.1× 530 2.5× 105 3.2k

Countries citing papers authored by Wai‐Tat Fu

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Wai‐Tat Fu

This figure shows the co-authorship network connecting the top 25 collaborators of Wai‐Tat Fu. A scholar is included among the top collaborators of Wai‐Tat Fu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Wai‐Tat Fu. Wai‐Tat Fu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Papadopoulos, George Α., Tsvi Kuflik, Fang Chen, Carlos Duarte, & Wai‐Tat Fu. (2017). Proceedings of the 22nd International Conference on Intelligent User Interfaces. 29 indexed citations
2.
Xiao, Ziang, et al.. (2017). Untangling the Relationship Between Spatial Skills, Game Features, and Gender in a Video Game. 125–136. 14 indexed citations
3.
Liao, Q. Vera, Wai‐Tat Fu, & Markus Strohmaier. (2016). #Snowden. MADOC (University of Mannheim). 3352–3363. 9 indexed citations
4.
Chin, Jessie, et al.. (2015). Age differences in information search: An exploration-exploitation tradeoff model.. Cognitive Science. 1 indexed citations
5.
Fu, Wai‐Tat, et al.. (2014). Navigating Indoor with Maps: Representations and Processes. Cognitive Science. 36(36). 3 indexed citations
6.
Chin, Jessie, et al.. (2012). Information Foraging in the Unknown Patches across the Life Span. Cognitive Science. 34(34). 4 indexed citations
7.
Fu, Wai‐Tat, et al.. (2012). Systematic analysis of output agreement games: Effects of gaming environment, social interaction, and feedback. National Conference on Artificial Intelligence. 2–8. 9 indexed citations
8.
Dong, Wei & Wai‐Tat Fu. (2011). Conflict Resolution in Remote Collaborative Problem Solving: A Comparison of Different Computer Mediated Communication Methods. Cognitive Science. 33(33). 1 indexed citations
9.
Chin, Jessie, Wai‐Tat Fu, & Elizabeth A. L. Stine‐Morrow. (2011). To Go or to Stay: Age Differences in Cognitive Foraging. Cognitive Science. 33(33). 2 indexed citations
10.
Liao, Q. Vera & Wai‐Tat Fu. (2011). Effects of Aging and Individual Differences on Credibility Judgment of Online Health Information. Cognitive Science. 33(33). 3 indexed citations
11.
Fu, Wai‐Tat, Thomas Kannampallil, Ruogu Kang, & Jwu‐Sheng Hu. (2010). Semantic imitation in social tagging. ACM Transactions on Computer-Human Interaction. 17(3). 1–37. 45 indexed citations
12.
Chin, Jessie, Wai‐Tat Fu, & Thomas Kannampallil. (2009). Adaptive information search. 1683–1692. 39 indexed citations
13.
Fu, Wai‐Tat & Peter Pirolli. (2007). SNIF-ACT: A Cognitive Model of User Navigation on the World Wide Web. Human-Computer Interaction. 22(4). 355–412. 181 indexed citations
14.
Fu, Wai‐Tat & Cleotilde González. (2006). Learning to Control Dynamic Systems: Information Utilization and Future Planning. eScholarship (California Digital Library). 28(28). 1 indexed citations
15.
Fu, Wai‐Tat, Cleotilde González, Alice F. Healy, James A. Kole, & Lyle E. Bourne. (2006). Building Predictive Human Performance Models of Skill Acquisition in a Data Entry Task. Proceedings of the Human Factors and Ergonomics Society Annual Meeting. 50(11). 1122–1126. 3 indexed citations
16.
Gray, Wayne D., et al.. (2004). Probing the Paradox of the Active User: Asymmetrical Transfer May Produce Stable, Suboptimal Performance. eScholarship (California Digital Library). 26(26). 1 indexed citations
17.
Gray, Wayne D. & Wai‐Tat Fu. (2001). Ignoring perfect knowledge in-the-world for imperfect knowledge in-the-head: Implications of rational analysis for interface design. Human Factors in Computing Systems. 112–119. 35 indexed citations
18.
Gray, Wayne D. & Wai‐Tat Fu. (2000). The Influence of Source and Cost of Information Access on Correct and Errorful Interactive Behavior. Proceedings of the Annual Meeting of the Cognitive Science Society. 22(22). 145–9. 2 indexed citations
19.
Trickett, Susan B., et al.. (2000). From Dipsy-Doodle to Streaming Motions: Changes in Representation in the Analysis of Visual Scientific Data. eScholarship (California Digital Library). 22(22). 9 indexed citations
20.
Fu, Wai‐Tat & Wayne D. Gray. (2000). Memory versus Perceptual-Motor Tradeoffs in a Blocks World Task. eScholarship (California Digital Library). 22(22). 41 indexed citations

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.

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