Cane Wing-ki Leung
- Artificial Intelligence top 5%
- Information Systems top 5%
- Statistical and Nonlinear Physics top 5%
- Computer Vision and Pattern Recognition top 10%
- Sociology and Political Science
- Topics
- Recommender Systems and Techniques (8 papers)Complex Network Analysis Techniques (6 papers)Topic Modeling (5 papers)
- Journals
- Journal of the Association for Information SystemsKnowledge-Based SystemsKnowledge and Information Systems
- Partner nations
- Hong KongUnited StatesSingapore
In The Last Decade
Cane Wing-ki Leung
20 papers receiving 447 citations
Peers
Comparison fields: 5 of 48
- Artificial Intelligence 250
- Information Systems 226
- Statistical and Nonlinear Physics 120
- Computer Vision and Pattern Recognition 73
- Sociology and Political Science 66
Countries citing papers authored by Cane Wing-ki Leung
This map shows the geographic impact of Cane Wing-ki Leung'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 Cane Wing-ki Leung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cane Wing-ki Leung more than expected).
Fields of papers citing papers by Cane Wing-ki Leung
This network shows the impact of papers produced by Cane Wing-ki Leung. 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 Cane Wing-ki Leung. The network helps show where Cane Wing-ki Leung may publish in the future.
Co-authorship network of co-authors of Cane Wing-ki Leung
This figure shows the co-authorship network connecting the top 25 collaborators of Cane Wing-ki Leung. A scholar is included among the top collaborators of Cane Wing-ki Leung 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 Cane Wing-ki Leung. Cane Wing-ki Leung is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 4 | |
| 3 | 74 | |
| 4 | 12 | |
| 5 | 16 | |
| 6 | 67 | |
| 7 | Role-aware conformity influence modeling and analysis in social networks | 13 |
| 8 | 11 | |
| 9 | 14 | |
| 10 | Unsupervised Information Extraction with Distributional Prior Knowledge | 4 |
| 11 | 44 | |
| 12 | 29 | |
| 13 | 14 | |
| 14 | 2 | |
| 15 | 62 | |
| 16 | 12 | |
| 17 | 1 | |
| 18 | 81 | |
| 19 | 1 | |
| 20 | Towards Collaborative Travel Recommender Systems | 4 |
About Cane Wing-ki Leung
Cane Wing-ki Leung is a scholar working on Statistical and Nonlinear Physics, Information Systems and Artificial Intelligence, having authored 20 papers that have together received 466 indexed citations. Recurring topics across this work include Recommender Systems and Techniques (8 papers), Complex Network Analysis Techniques (6 papers) and Topic Modeling (5 papers). The work is most often cited by research in Information Systems (226 citations), Statistical and Nonlinear Physics (120 citations) and Artificial Intelligence (250 citations). Cane Wing-ki Leung has collaborated with scholars based in Hong Kong, United States and Singapore. Frequent co-authors include Fu-Lai Chung, Stephen Chan, Yangqiu Song, Qiang Yang, Haojie Pan, Xin Liu, Hongming Zhang, Juanzi Li, Grace Ngai and Ee‐Peng Lim. Their work appears in journals such as Journal of the Association for Information Systems, Knowledge-Based Systems and Knowledge and Information Systems.
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.