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
- Text Readability and Simplification
Papers in
-
- Topic Modeling 27
- Natural Language Processing Techniques 26
- Advanced Text Analysis Techniques 13
- Semantic Web and Ontologies 8
- Text Readability and Simplification 5
- Sentiment Analysis and Opinion Mining 4
- Co-authors
- Cécile Paris (37 shared papers)Robert Dale (13 shared papers)Karin Verspoor (2 shared papers)Helen Christensen (1 shared paper)Philip J. Batterham (1 shared paper)Alison L. Calear (1 shared paper)Bridianne O’Dea (1 shared paper)Mark Dras (10 shared papers)
- Journals
- Teaching in Higher Education (1 paper)Foods (1 paper)Internet Interventions (1 paper)Journal of Web Semantics (1 paper)Information Processing & Management (1 paper)
- Partner nations
- AustraliaUnited StatesFrance
In The Last Decade
Stephen Wan
55 papers receiving 822 citations
Stephen Wan's Hit Papers
Peers
Comparison fields: 5 of 70
- Applied Psychology 129
- Artificial Intelligence 626
- Social Psychology 274
- Information Systems 153
- Clinical Psychology 108
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 61 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Detecting suicidality on Twitter Hit paper breakdown → | 2015 | 298 |
| 2 | Using Dependency-Based Features to Take the 'Para-farce' out of Paraphrase | 2006 | 101 |
| 3 | 1998 | 77 | |
| 4 | 2004 | 53 | |
| 5 | GLEU: Automatic Evaluation of Sentence-Level Fluency | 2007 | 38 |
| 6 | 1998 | 24 | |
| 7 | 2017 | 23 | |
| 8 | 2016 | 20 | |
| 9 | 2011 | 18 | |
| 10 | Proceedings of the Workshop on Monolingual Text-To-Text Generation | 2011 | 18 |
| 11 | 2014 | 16 | |
| 12 | 2003 | 15 | |
| 13 | 2009 | 13 | |
| 14 | 2003 | 13 | |
| 15 | CSIRO Data61 at the WNUT Geo Shared Task | 2016 | 12 |
| 16 | 2021 | 12 | |
| 17 | 2010 | 10 | |
| 18 | Proceedings of the Fourth International Natural Language Generation Conference | 2006 | 8 |
| 19 | 2009 | 8 | |
| 20 | 2008 | 8 |
About Stephen Wan
Stephen Wan is a scholar working on Artificial Intelligence, Information Systems, Sociology and Political Science, Statistical and Nonlinear Physics and Communication, having authored 61 papers that have together received 917 indexed citations. Recurring topics across this work include Topic Modeling (27 papers), Natural Language Processing Techniques (26 papers), Advanced Text Analysis Techniques (13 papers), Semantic Web and Ontologies (8 papers), Complex Network Analysis Techniques (6 papers), Text Readability and Simplification (5 papers), Mental Health via Writing (4 papers) and Sentiment Analysis and Opinion Mining (4 papers). The work is most often cited by research in Applied Psychology (129 citations), Artificial Intelligence (626 citations), Social Psychology (274 citations), Information Systems (153 citations) and Clinical Psychology (108 citations). Stephen Wan has collaborated with scholars based in Australia, United States and France. Frequent co-authors include Cécile Paris, Robert Dale, Karin Verspoor, Helen Christensen, Philip J. Batterham, Alison L. Calear, Bridianne O’Dea, Mark Dras, Kathy McKeown and Katja Filippova. Their work appears in journals such as Teaching in Higher Education, Foods, Internet Interventions, Journal of Web Semantics 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.