Hong Va Leong
- Computer Networks and Communications top 1%
- Computer Vision and Pattern Recognition top 2%
- Artificial Intelligence top 5%
- Signal Processing top 2%
- Human-Computer Interaction top 1%
- Co-authors
- Antonio SiGrace NgaiChi-Yin ChowAlvin ChanStephen ChanRynson W. H. LauMichael Xuelin HuangKen C. K. Lee
- Topics
- Distributed systems and fault tolerance (30 papers)Caching and Content Delivery (30 papers)Advanced Data Storage Technologies (19 papers)
- Journals
- Communications of the ACMExpert Systems with ApplicationsIEEE Journal on Selected Areas in Communications
- Partner nations
- Hong KongUnited StatesChina
In The Last Decade
Hong Va Leong
148 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 99
- Computer Networks and Communications 885
- Computer Vision and Pattern Recognition 373
- Artificial Intelligence 325
- Signal Processing 278
- Human-Computer Interaction 256
Countries citing papers authored by Hong Va Leong
This map shows the geographic impact of Hong Va Leong'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 Hong Va Leong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hong Va Leong more than expected).
Fields of papers citing papers by Hong Va Leong
This network shows the impact of papers produced by Hong Va Leong. 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 Hong Va Leong. The network helps show where Hong Va Leong may publish in the future.
Co-authorship network of co-authors of Hong Va Leong
This figure shows the co-authorship network connecting the top 25 collaborators of Hong Va Leong. A scholar is included among the top collaborators of Hong Va Leong 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 Hong Va Leong. Hong Va Leong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 5 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 13 | |
| 8 | 9 | |
| 9 | 11 | |
| 10 | 2 | |
| 11 | 10 | |
| 12 | Advances in Web-Age Information Management: 7th International Conference, WAIM 2006, Hong Kong, China, June 17-19, 2006, Proceedings (Lecture Notes in Computer Science) | 2 |
| 13 | 2 | |
| 14 | 2 | |
| 15 | 2 | |
| 16 | 32 | |
| 17 | 1 | |
| 18 | 2 | |
| 19 | On page coherence for dynamic HTML pages | 1 |
| 20 | 23 |
About Hong Va Leong
Hong Va Leong is a scholar working on Human-Computer Interaction, Computer Networks and Communications and Signal Processing, having authored 157 papers that have together received 1.8k indexed citations. Recurring topics across this work include Distributed systems and fault tolerance (30 papers), Caching and Content Delivery (30 papers) and Advanced Data Storage Technologies (19 papers). The work is most often cited by research in Human-Computer Interaction (256 citations), Computer Networks and Communications (885 citations) and Signal Processing (278 citations). Hong Va Leong has collaborated with scholars based in Hong Kong, United States and China. Frequent co-authors include Antonio Si, Grace Ngai, Chi-Yin Chow, Alvin Chan, Stephen Chan, Rynson W. H. Lau, Michael Xuelin Huang, Ken C. K. Lee, Wang-Chien Lee and Divyakant Agrawal. Their work appears in journals such as Communications of the ACM, Expert Systems with Applications and IEEE Journal on Selected Areas in Communications.
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.