Leonard K. M. Poon
- Artificial Intelligence top 10%
- Information Systems top 10%
- Computer Vision and Pattern Recognition
- Signal Processing
- Statistical and Nonlinear Physics
- Topics
- Bayesian Methods and Mixture Models (8 papers)Data Management and Algorithms (7 papers)Data Mining Algorithms and Applications (6 papers)
In The Last Decade
Leonard K. M. Poon
17 papers receiving 231 citations
Peers
Comparison fields: 5 of 75
- Artificial Intelligence 179
- Information Systems 58
- Computer Vision and Pattern Recognition 32
- Signal Processing 31
- Statistical and Nonlinear Physics 22
Countries citing papers authored by Leonard K. M. Poon
This map shows the geographic impact of Leonard K. M. Poon'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 Leonard K. M. Poon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Leonard K. M. Poon more than expected).
Fields of papers citing papers by Leonard K. M. Poon
This network shows the impact of papers produced by Leonard K. M. Poon. 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 Leonard K. M. Poon. The network helps show where Leonard K. M. Poon may publish in the future.
Co-authorship network of co-authors of Leonard K. M. Poon
This figure shows the co-authorship network connecting the top 25 collaborators of Leonard K. M. Poon. A scholar is included among the top collaborators of Leonard K. M. Poon 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 Leonard K. M. Poon. Leonard K. M. Poon is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 36 | |
| 2 | 39 | |
| 3 | 2 | |
| 4 | 5 | |
| 5 | 12 | |
| 6 | 2 | |
| 7 | 23 | |
| 8 | 3 | |
| 9 | 9 | |
| 10 | 2 | |
| 11 | 5 | |
| 12 | 13 | |
| 13 | A novel LTM-based method for multi-partition clustering | 3 |
| 14 | 4 | |
| 15 | 15 | |
| 16 | 58 | |
| 17 | Variable Selection in Model-Based Clustering: To Do or To Facilitate | 14 |
About Leonard K. M. Poon
Leonard K. M. Poon is a scholar working on Signal Processing, Artificial Intelligence and Computer Science Applications, having authored 17 papers that have together received 245 indexed citations. Recurring topics across this work include Bayesian Methods and Mixture Models (8 papers), Data Management and Algorithms (7 papers) and Data Mining Algorithms and Applications (6 papers). The work is most often cited by research in Artificial Intelligence (179 citations), Health Informatics (5 citations) and General Social Sciences (10 citations). Leonard K. M. Poon has collaborated with scholars based in Hong Kong, China and Singapore. Frequent co-authors include Nevin L. Zhang, Tengfei Liu, Yi Wang, Fu Lee Wang, Haoran Xie, Тао Чен, Zhourong Chen, Gary Cheng, Peixian Chen and Yanghui Rao. Their work appears in journals such as Artificial Intelligence, Neurocomputing and Machine Learning.
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.