Hon Cheung
Impact in
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- IoT and Edge/Fog Computing
- Network Security and Intrusion Detection
- Signal Processing top 10%
- Advanced Malware Detection Techniques
Papers in
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- IoT and Edge/Fog Computing 6
- Cognitive Radio Networks and Spectrum Sensing 3
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- Indoor and Outdoor Localization Technologies 6
- Co-authors
- Seyed Shahrestani (24 shared papers)Mahmoud Elkhodr (12 shared papers)Mohsen Mirkhalaf (2 shared papers)Farhad Ahamed (2 shared papers)Kamran Eshraghian (2 shared papers)Timothy D. Wilkinson (1 shared paper)Stefan Lachowicz (1 shared paper)W. A. Crossland (1 shared paper)
- Journals
- Sensors (2 papers)Composites Science and Technology (2 papers)Journal of Asset Management (1 paper)International journal of Computer Networks & Communications (1 paper)Design, Automation, and Test in Europe (1 paper)
In The Last Decade
Hon Cheung
29 papers receiving 599 citations
Peers
Comparison fields: 5 of 83
- Computer Networks and Communications 377
- Signal Processing 101
- Information Systems 127
- Artificial Intelligence 161
- Computer Vision and Pattern Recognition 92
Countries citing papers authored by Hon Cheung
This map shows the geographic impact of Hon Cheung'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 Hon Cheung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hon Cheung more than expected).
Fields of papers citing papers by Hon Cheung
This network shows the impact of papers produced by Hon Cheung. 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 Hon Cheung. The network helps show where Hon Cheung may publish in the future.
Co-authors
The 8 scholars most cited alongside Hon Cheung, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 132 | |
| 2 | 2016 | 97 | |
| 3 | 2016 | 82 | |
| 4 | 2013 | 49 | |
| 5 | 2015 | 29 | |
| 6 | 2020 | 27 | |
| 7 | 2020 | 24 | |
| 8 | 2013 | 20 | |
| 9 | 2012 | 18 | |
| 10 | 2016 | 17 | |
| 11 | 2017 | 15 | |
| 12 | 2015 | 15 | |
| 13 | 2014 | 15 | |
| 14 | 2023 | 14 | |
| 15 | 2024 | 11 | |
| 16 | 2011 | 10 | |
| 17 | 2018 | 9 | |
| 18 | 2016 | 8 | |
| 19 | 2019 | 6 | |
| 20 | 2013 | 5 |
About Hon Cheung
Hon Cheung is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, Information Systems and Artificial Intelligence, having authored 31 papers that have together received 627 indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (6 papers), Indoor and Outdoor Localization Technologies (6 papers), Privacy-Preserving Technologies in Data (4 papers), Cognitive Radio Networks and Spectrum Sensing (3 papers), Context-Aware Activity Recognition Systems (3 papers), Mobile Crowdsensing and Crowdsourcing (3 papers), Advanced Malware Detection Techniques (3 papers) and Tactile and Sensory Interactions (3 papers). The work is most often cited by research in Computer Networks and Communications (377 citations), Signal Processing (101 citations), Information Systems (127 citations), Artificial Intelligence (161 citations) and Computer Vision and Pattern Recognition (92 citations). Hon Cheung has collaborated with scholars based in Australia, Sweden and Singapore. Frequent co-authors include Seyed Shahrestani, Mahmoud Elkhodr, Mohsen Mirkhalaf, Farhad Ahamed, Kamran Eshraghian, Timothy D. Wilkinson, Stefan Lachowicz and W. A. Crossland. Their work appears in journals such as Sensors, Composites Science and Technology, Journal of Asset Management, International journal of Computer Networks & Communications and Design, Automation, and Test in Europe.
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.