Wai‐Tat Fu

124 papers receiving 2.6k citations

Peers

Wai‐Tat Fu
Comparison fields: 5 of 103
  • Human-Computer Interaction 456
  • General Decision Sciences 139
  • Computer Science Applications 189
  • Information Systems 704
  • Management Information Systems 248
Replace Jill H. Larkin with:
Jill H. Larkin United States
Peter G. Polson United States
Steven E. Poltrock United States
Katharina Reinecke United States
Jon Oberlander United Kingdom
Herre van Oostendorp Netherlands
Angelika Dimoka United States
Barbara J. Grosz United States
Kenneth Kotovsky United States
Michael E. Atwood United States
Wai‐Tat Fu relative to Jill H. Larkin United States Jill H. Larkin's profile →
Citations per field
00.5×2×3.1×
Jill H. Larkin · 1×
Citations per year

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-authors

The 25 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.

Border = papers with Wai‐Tat Fu Line = papers co-authored together Wai‐Tat Fu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 128 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006264
2 2007215
3 2004203
4 2003144
5 2014140
6 2006117
7 201363
8 201858
9 201455
10 201454
11 201653
12 201051
13 200848
14 200947
15 201346
16 200744
17
Memory versus Perceptual-Motor Tradeoffs in a Blocks World Task
200043
18 201742
19 200141
20 201041

About Wai‐Tat Fu

Wai‐Tat Fu is a scholar working on Human-Computer Interaction, Information Systems, Computer Science Applications, Cognitive Neuroscience and General Decision Sciences, having authored 128 papers that have together received 2.8k indexed citations. Recurring topics across this work include Information Retrieval and Search Behavior (25 papers), FinTech, Crowdfunding, Digital Finance (10 papers), Spatial Cognition and Navigation (10 papers), Usability and User Interface Design (9 papers), Decision-Making and Behavioral Economics (8 papers), Data Visualization and Analytics (8 papers), Neural and Behavioral Psychology Studies (7 papers) and Embodied and Extended Cognition (7 papers). The work is most often cited by research in Human-Computer Interaction (456 citations), General Decision Sciences (139 citations), Computer Science Applications (189 citations), Information Systems (704 citations) and Management Information Systems (248 citations). Wai‐Tat Fu has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Wayne Douglas Gray, Peter L. T. Pirolli, Q. Vera Liao, John R. Anderson, Shih‐Wen Huang, Chris R. Sims, Michael J. Schoelles, Jessie Chin, Thomas Kannampallil and Karrie G. Karahalios. Their work appears in journals such as Cognitive Science, Proceedings of the ACM on Human-Computer Interaction, Topics in Cognitive Science, ACM Transactions on Computer-Human Interaction and Lecture notes in computer science.

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.

Explore authors with similar magnitude of impact