Weiqin Chen

74 papers receiving 759 citations

Peers

Weiqin Chen
Comparison fields: 5 of 99
  • Computer Science Applications 217
  • Human-Computer Interaction 106
  • Human Factors and Ergonomics 42
  • Occupational Therapy 44
  • Developmental and Educational Psychology 114
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Tim Coughlan United Kingdom
Daniel Gooch United Kingdom
Wolmet Barendregt Sweden
Pierre Rabardel France
Mike Wald United Kingdom
Nora McDonald United States
Benjamin R. Cowan Ireland
Mark Gaved United Kingdom
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Weiqin Chen relative to Tim Coughlan United Kingdom Tim Coughlan's profile →
Citations per field
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Citations per year

Countries citing papers authored by Weiqin Chen

Since Specialization
Citations

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

Fields of papers citing papers by Weiqin Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 81 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201263
2 201957
3 202155
4 201634
5 201533
6 201732
7 201830
8 201430
9 201828
10 200927
11 201926
12 201526
13 200523
14 200322
15 202220
16 200920
17 202119
18 202018
19 201117
20 201517

About Weiqin Chen

Weiqin Chen is a scholar working on Computer Science Applications, Artificial Intelligence, Demography, Human-Computer Interaction and Developmental and Educational Psychology, having authored 81 papers that have together received 815 indexed citations. Recurring topics across this work include Online Learning and Analytics (15 papers), Technology Use by Older Adults (12 papers), E-Learning and Knowledge Management (9 papers), Digital Accessibility for Disabilities (8 papers), Innovative Teaching and Learning Methods (8 papers), Privacy-Preserving Technologies in Data (6 papers), Augmented Reality Applications (5 papers) and Online and Blended Learning (4 papers). The work is most often cited by research in Computer Science Applications (217 citations), Human-Computer Interaction (106 citations), Human Factors and Ergonomics (42 citations), Occupational Therapy (44 citations) and Developmental and Educational Psychology (114 citations). Weiqin Chen has collaborated with scholars based in Norway, Bangladesh and Hong Kong. Frequent co-authors include Tore Hoel, Barbara Wasson, Astrid Bergland, Jaziar Radianti, Lars Nyre, Riichiro Mizoguchi, Bjørnar Tessem, Rolf Reber, Are Hugo Pripp and Haipeng Mi. Their work appears in journals such as Research and Practice in Technology Enhanced Learning, Journal of Medical Internet Research, Journal of Learning Analytics, BMC Palliative Care and International Journal of Science and Mathematics Education.

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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