Joel Chan

2.4k citations
75 papers · 1.6k indexed · h-index 23

Joel Chan

68 papers receiving 1.6k citations

Peers

Joel Chan
Comparison fields: 5 of 151
  • Computer Science Applications 218
  • Experimental and Cognitive Psychology 485
  • Human-Computer Interaction 159
  • Management of Technology and Innovation 188
  • Mechanical Engineering 593
Replace Andy Dong with:
Andy Dong Australia
Katherine Fu United States
Maria C. Yang United States
Françoise Détienne France
Louis L. Bucciarelli United States
Daniel Frey United States
Peter Dalsgaard Denmark
Alex Duffy United Kingdom
Ji Han United Kingdom
Willemien Visser France
Joel Chan relative to Andy Dong Australia Andy Dong's profile →
Citations per field
00.5×3.5×
Andy Dong · 1×
Citations per year

Countries citing papers authored by Joel Chan

Since Specialization
Citations

This map shows the geographic impact of Joel Chan'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 Joel Chan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joel Chan more than expected).

Fields of papers citing papers by Joel Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joel Chan. 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 Joel Chan. The network helps show where Joel Chan may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Joel Chan, 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 Joel Chan Line = papers co-authored together Joel Chan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20252
3 20250
4 20241
5 20242
6 202310
7 20221
8 201955
9
Application of video game artificial intelligence techniques for design of a simulation software systemfor transportation engineering education
20161
10 201539
11 201494
12
Reducing Annotation Effort on Unbalanced Corpus based on Cost Matrix
20132
13 201245
14 201219
15 199638
16 19931
17 19908
18 198910
19 197622
20 197311

About Joel Chan

Joel Chan is a scholar working on Computer Science Applications, Information Systems and Management and Experimental and Cognitive Psychology, having authored 75 papers that have together received 1.6k indexed citations. Recurring topics across this work include Design Education and Practice (17 papers), Creativity in Education and Neuroscience (15 papers), Open Source Software Innovations (11 papers), Data Visualization and Analytics (8 papers), Advanced Text Analysis Techniques (8 papers), Mobile Crowdsensing and Crowdsourcing (8 papers), Team Dynamics and Performance (7 papers) and Natural Language Processing Techniques (6 papers). The work is most often cited by research in Computer Science Applications (218 citations), Experimental and Cognitive Psychology (485 citations) and Human-Computer Interaction (159 citations). Joel Chan has collaborated with scholars based in United States, Israel and Denmark. Frequent co-authors include Christian D. Schunn, Steven P. Dow, Kenneth Kotovsky, Katherine Fu, Jonathan Cagan, Kristin L. Wood, Pao Siangliulue, Krzysztof Z. Gajos, Aniket Kittur and Dafna Shahaf. Their work appears in journals such as Design Studies, Journal of Mechanical Design, Cellular and Molecular Life Sciences, Journal of Investigative Dermatology and Proceedings of the ACM on Human-Computer Interaction.

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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