Man Hon Wong
- Signal Processing top 2%
- Information Systems top 2%
- Artificial Intelligence top 5%
- Computational Theory and Mathematics top 2%
- Computer Networks and Communications top 10%
- Topics
- Distributed systems and fault tolerance (13 papers)Data Management and Algorithms (9 papers)Time Series Analysis and Forecasting (7 papers)
- Partner nations
- Hong KongChinaUnited States
In The Last Decade
Man Hon Wong
38 papers receiving 734 citations
Peers
Comparison fields: 5 of 96
- Signal Processing 324
- Information Systems 297
- Artificial Intelligence 274
- Computational Theory and Mathematics 239
- Computer Networks and Communications 151
Countries citing papers authored by Man Hon Wong
This map shows the geographic impact of Man Hon 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 Man Hon Wong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Man Hon Wong more than expected).
Fields of papers citing papers by Man Hon Wong
This network shows the impact of papers produced by Man Hon 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 Man Hon Wong. The network helps show where Man Hon Wong may publish in the future.
Co-authorship network of co-authors of Man Hon Wong
This figure shows the co-authorship network connecting the top 25 collaborators of Man Hon Wong. A scholar is included among the top collaborators of Man Hon 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 Man Hon Wong. Man Hon 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 | 4 | |
| 2 | 27 | |
| 3 | 20 | |
| 4 | 28 | |
| 5 | 11 | |
| 6 | 2 | |
| 7 | 5 | |
| 8 | 2 | |
| 9 | 5 | |
| 10 | Distributed Snapshot for Ad-hoc Network Systems. | 1 |
| 11 | 24 | |
| 12 | 9 | |
| 13 | 117 | |
| 14 | 18 | |
| 15 | Quantifying Complexity and Performance Gains of Distributed Caching in a Wireless Mobile Computing Environment | 9 |
| 16 | A Fast Signature Algorithm for Sequence Data Searching. | 2 |
| 17 | 5 | |
| 18 | 1 | |
| 19 | A Caching Policy to Support Read-only Transactions in a Mobile Computing Environment | 2 |
| 20 | 2 |
About Man Hon Wong
Man Hon Wong is a scholar working on Signal Processing, Computer Networks and Communications and Hardware and Architecture, having authored 40 papers that have together received 803 indexed citations. Recurring topics across this work include Distributed systems and fault tolerance (13 papers), Data Management and Algorithms (9 papers) and Time Series Analysis and Forecasting (7 papers). The work is most often cited by research in Signal Processing (324 citations), Computational Theory and Mathematics (239 citations) and Information Systems (297 citations). Man Hon Wong has collaborated with scholars based in Hong Kong, China and United States. Frequent co-authors include Ada W. C. Fu, Mi Zhou, Kwong‐Sak Leung, Lixin Cheng, John C. S. Lui, Dan Wu, Wai Szeto, Xubin Zheng, Ran Wang and Shuai Li. Their work appears in journals such as Bioinformatics, Communications of the ACM and BMC Bioinformatics.
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.