Stephen Wan

99 total papers · 1.6k total citations
61 papers, 913 citations indexed

About

Stephen Wan is a scholar working on Artificial Intelligence, Information Systems and Sociology and Political Science. According to data from OpenAlex, Stephen Wan has authored 61 papers receiving a total of 913 indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Artificial Intelligence, 7 papers in Information Systems and 6 papers in Sociology and Political Science. Recurrent topics in Stephen Wan's work include Topic Modeling (27 papers), Natural Language Processing Techniques (26 papers) and Advanced Text Analysis Techniques (13 papers). Stephen Wan is often cited by papers focused on Topic Modeling (27 papers), Natural Language Processing Techniques (26 papers) and Advanced Text Analysis Techniques (13 papers). Stephen Wan collaborates with scholars based in Australia, United States and United Kingdom. Stephen Wan's co-authors include Cécile Paris, Robert Dale, Karin Verspoor, Bridianne O’Dea, Helen Christensen, Alison L. Calear, Philip J. Batterham, Mark Dras, Kathy McKeown and Katja Filippova and has published in prestigious journals such as Information Processing & Management, Foods and Teaching in Higher Education.

In The Last Decade

Stephen Wan

55 papers receiving 819 citations

Hit Papers

Detecting suicidality on ... 2015 2026 2018 2022 2015 50 100 150 200 250

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Stephen Wan 623 273 153 128 107 61 913
Ramit Sawhney 717 1.2× 326 1.2× 160 1.0× 136 1.1× 131 1.2× 67 1.2k
Sai-fu Fung 308 0.5× 282 1.0× 72 0.5× 151 1.2× 299 2.8× 35 932
Bart Desmet 758 1.2× 392 1.4× 151 1.0× 71 0.6× 38 0.4× 40 1.1k
Kokil Jaidka 465 0.7× 206 0.8× 99 0.6× 61 0.5× 44 0.4× 74 1.1k
Zahra Ashktorab 502 0.8× 222 0.8× 118 0.8× 47 0.4× 72 0.7× 35 1.2k
Doğan Can 636 1.0× 178 0.7× 95 0.6× 111 0.9× 48 0.4× 28 921
Cecilia Ovesdotter Alm 702 1.1× 217 0.8× 122 0.8× 30 0.2× 36 0.3× 89 1.2k
Fiorella de Rosis 474 0.8× 344 1.3× 81 0.5× 42 0.3× 21 0.2× 48 864
Fidel Cacheda 381 0.6× 162 0.6× 611 4.0× 73 0.6× 24 0.2× 58 991
Nazli Goharian 829 1.3× 126 0.5× 314 2.1× 35 0.3× 17 0.2× 90 1.1k

Countries citing papers authored by Stephen Wan

Since Specialization
Citations

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

Fields of papers citing papers by Stephen Wan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stephen Wan

This figure shows the co-authorship network connecting the top 25 collaborators of Stephen Wan. A scholar is included among the top collaborators of Stephen Wan 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 Stephen Wan. Stephen Wan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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