Wilson Wong
- Artificial Intelligence top 5%
- Information Systems top 5%
- Molecular Biology
- Computer Networks and Communications
- Management Science and Operations Research top 10%
- Co-authors
- Wei LiuMohammed BennamounJohn ThangarajahLin PadghamLawrence CavedonChun Che FungCemal ArdılDavid Glance
- Topics
- Topic Modeling (16 papers)Natural Language Processing Techniques (12 papers)Semantic Web and Ontologies (10 papers)
In The Last Decade
Wilson Wong
32 papers receiving 490 citations
Peers
Comparison fields: 5 of 63
- Artificial Intelligence 423
- Information Systems 212
- Molecular Biology 69
- Computer Networks and Communications 54
- Management Science and Operations Research 40
Countries citing papers authored by Wilson Wong
This map shows the geographic impact of Wilson Wong'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 Wilson Wong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wilson Wong more than expected).
Fields of papers citing papers by Wilson Wong
This network shows the impact of papers produced by Wilson Wong. 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 Wilson Wong. The network helps show where Wilson Wong may publish in the future.
Co-authorship network of co-authors of Wilson Wong
This figure shows the co-authorship network connecting the top 25 collaborators of Wilson Wong. A scholar is included among the top collaborators of Wilson Wong 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 Wilson Wong. Wilson Wong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | Understanding user behavior in job and talent search: an initial investigation | 10 |
| 3 | The changing contours of fairness : can we match individual and organisational perspectives? | 1 |
| 4 | Evaluating semantic browsers for consuming linked data | 13 |
| 5 | Strategies for Mixed-Initiative Conversation Management using Question-Answer Pairs | 8 |
| 6 | 1 | |
| 7 | 5 | |
| 8 | 9 | |
| 9 | 12 | |
| 10 | 1 | |
| 11 | Combining Web Mining Techniques and Structural Equations Modeling for Measuring E-commerce Perceptions | 1 |
| 12 | 88 | |
| 13 | Determining termhood for learning domain ontologies using domain prevalence and tendency | 14 |
| 14 | Determining termhood for learning domain ontologies in a probabilistic framework | 3 |
| 15 | Measuring data-driven ontology changes using text mining | 3 |
| 16 | 5 | |
| 17 | Integrated scoring for spelling error correction, abbreviation expansion and case restoration in dirty text | 17 |
| 18 | Intelligent responses through network-based answer discovery with advanced reasoning | 1 |
| 19 | Domain knowledge model for embodied conversation agent | 5 |
| 20 | Textual support of collaborative design | 8 |
About Wilson Wong
Wilson Wong is a scholar working on Artificial Intelligence, Architecture and Information Systems, having authored 35 papers that have together received 533 indexed citations. Recurring topics across this work include Topic Modeling (16 papers), Natural Language Processing Techniques (12 papers) and Semantic Web and Ontologies (10 papers). The work is most often cited by research in Artificial Intelligence (423 citations), Information Systems (212 citations) and Management Science and Operations Research (40 citations). Wilson Wong has collaborated with scholars based in Australia, Italy and Malaysia. Frequent co-authors include Wei Liu, Mohammed Bennamoun, John Thangarajah, Lin Padgham, Lawrence Cavedon, Chun Che Fung, Cemal Ardıl, David Glance, Thomas Kvan and James A. Thom. Their work appears in journals such as ACM Computing Surveys, Artificial Intelligence in Medicine and Data Mining and Knowledge Discovery.
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.