Stephen Chan

2.2k citations
131 papers · 1.4k · h-index 20

Impact in

Papers in

Stephen Chan

126 papers receiving 1.3k citations

Peers

Stephen Chan
Comparison fields: 5 of 127
  • Human-Computer Interaction 282
  • Computer Science Applications 173
  • Information Systems 390
  • Computer Vision and Pattern Recognition 221
  • Industrial and Manufacturing Engineering 107
Replace Ning Gu with:
Ning Gu China
Derek McAuley United Kingdom
Maria Klawe United States
Max L. Wilson United Kingdom
Josh Tenenberg United States
Kumiyo Nakakoji Japan
Ralf Klamma Germany
Liliana Ardissono Italy
Sangmin Park South Korea
Tun Lu China
Stephen Chan relative to Ning Gu China Ning Gu's profile →
Citations per field
00.5×2.7×
Ning Gu · 1×
Citations per year

Countries citing papers authored by Stephen Chan

Since Specialization
Citations

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

Fields of papers citing papers by Stephen Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 131 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200681
2 200862
3 201653
4 201251
5 200249
6 200947
7 200945
8 201144
9 200143
10 201340
11 201038
12 202237
13 201637
14 199928
15 200927
16 200325
17 200924
18 200923
19 201722
20 201420

About Stephen Chan

Stephen Chan is a scholar working on Information Systems, Human-Computer Interaction, Artificial Intelligence, Education and Computer Networks and Communications, having authored 131 papers that have together received 1.4k indexed citations. Recurring topics across this work include Service-Learning and Community Engagement (17 papers), Data Management and Algorithms (11 papers), Interactive and Immersive Displays (11 papers), Data Mining Algorithms and Applications (11 papers), Education and Critical Thinking Development (11 papers), Usability and User Interface Design (8 papers), Innovative Human-Technology Interaction (7 papers) and Advanced Database Systems and Queries (7 papers). The work is most often cited by research in Human-Computer Interaction (282 citations), Computer Science Applications (173 citations), Information Systems (390 citations), Computer Vision and Pattern Recognition (221 citations) and Industrial and Manufacturing Engineering (107 citations). Stephen Chan has collaborated with scholars based in Hong Kong, United States and China. Frequent co-authors include Grace Ngai, Fu-Lai Chung, Hong Va Leong, Cane Wing-ki Leung, Vincent Ng, Michael Xuelin Huang, Kam‐Por Kwan, Jintu Fan, Kelvin Leong and Edward Newton. Their work appears in journals such as Concurrent Engineering, Knowledge and Information Systems, The International Journal of Advanced Manufacturing Technology, Origins of Life and Evolution of Biospheres and Knowledge-Based Systems.

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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