Stephen Wan
Impact in
- Applied Psychology top 5%
- Digital Mental Health Interventions
- Artificial Intelligence top 2%
- Topic Modeling
- Natural Language Processing Techniques
- Sentiment Analysis and Opinion Mining
- Advanced Text Analysis Techniques
Papers in
-
- Topic Modeling 28
- Natural Language Processing Techniques 27
- Advanced Text Analysis Techniques 14
- Semantic Web and Ontologies 13
- Text Readability and Simplification 6
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- Complex Network Analysis Techniques 6
- Co-authors
- Cécile L. Paris (43 shared papers)Robert Dale (13 shared papers)Mark Dras (13 shared papers)Bridianne O’Dea (1 shared paper)Helen M Christensen (1 shared paper)Philip J. Batterham (1 shared paper)Alison L. Calear (1 shared paper)Kathy McKeown (1 shared paper)
- Journals
- Theory and applications of categories (1 paper)Internet Interventions (1 paper)Journal of Web Semantics (1 paper)Teaching in Higher Education (1 paper)Information Processing & Management (1 paper)
- Partner nations
- AustraliaUnited StatesUnited Kingdom
In The Last Decade
Stephen Wan
67 papers receiving 1.0k citations
Stephen Wan's Hit Papers
Peers
Comparison fields: 5 of 76
- Applied Psychology 114
- Artificial Intelligence 746
- Social Psychology 301
- Information Systems 204
- Communication 44
Countries citing papers authored by Stephen Wan
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
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-authors
The 25 scholars most cited alongside Stephen Wan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 72 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Detecting suicidality on Twitter Hit paper breakdown → | 2015 | 352 |
| 2 | Using Dependency-Based Features to Take the 'Para-farce' out of Paraphrase | 2006 | 114 |
| 3 | 1998 | 84 | |
| 4 | 2004 | 55 | |
| 5 | GLEU: Automatic Evaluation of Sentence-Level Fluency | 2007 | 43 |
| 6 | 2017 | 29 | |
| 7 | 1998 | 27 | |
| 8 | 2001 | 23 | |
| 9 | 2016 | 23 | |
| 10 | 2014 | 22 | |
| 11 | 2011 | 21 | |
| 12 | 2003 | 19 | |
| 13 | 2020 | 19 | |
| 14 | 2019 | 19 | |
| 15 | CSIRO Data61 at the WNUT Geo Shared Task | 2016 | 15 |
| 16 | 2003 | 15 | |
| 17 | 2009 | 15 | |
| 18 | 2000 | 14 | |
| 19 | 2021 | 14 | |
| 20 | 2010 | 11 |
About Stephen Wan
Stephen Wan is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics, Information Systems, Communication and Computer Vision and Pattern Recognition, having authored 72 papers that have together received 1.1k indexed citations. Recurring topics across this work include Topic Modeling (28 papers), Natural Language Processing Techniques (27 papers), Advanced Text Analysis Techniques (14 papers), Semantic Web and Ontologies (13 papers), Text Readability and Simplification (6 papers), Complex Network Analysis Techniques (6 papers), Biomedical Text Mining and Ontologies (5 papers) and Mental Health via Writing (4 papers). The work is most often cited by research in Applied Psychology (114 citations), Artificial Intelligence (746 citations), Social Psychology (301 citations), Information Systems (204 citations) and Communication (44 citations). Stephen Wan has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Cécile L. Paris, Robert Dale, Mark Dras, Bridianne O’Dea, Helen M Christensen, Philip J. Batterham, Alison L. Calear, Kathy McKeown, Sunghwan Mac Kim and Yufei Wang. Their work appears in journals such as Theory and applications of categories, Internet Interventions, Journal of Web Semantics, Teaching in Higher Education and Information Processing & Management.
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.