Jun Hou
Impact in
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- Advanced Steganography and Watermarking Techniques
- Chaos-based Image/Signal Encryption
- Face and Expression Recognition
- Digital Media Forensic Detection
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- Network Security and Intrusion Detection
- IoT and Edge/Fog Computing
Papers in
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- Privacy-Preserving Technologies in Data 7
- Cryptography and Data Security 5
- Anomaly Detection Techniques and Applications 4
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- Network Security and Intrusion Detection 9
- Co-authors
- Qianmu Li (41 shared papers)Shunmei Meng (13 shared papers)Milad Taleby Ahvanooey (2 shared papers)Sainan Zhang (4 shared papers)Haijun Zhang (1 shared paper)Jingjing Liu (1 shared paper)Quanxue Gao (1 shared paper)Jing Zhang (3 shared papers)
- Journals
- IEEE Access (4 papers)Journal of Organizational and End User Computing (2 papers)Mobile Networks and Applications (1 paper)Computational Intelligence and Neuroscience (1 paper)Ad Hoc Networks (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Jun Hou
49 papers receiving 460 citations
Peers
Comparison fields: 5 of 72
- Computer Vision and Pattern Recognition 191
- Computer Networks and Communications 157
- Signal Processing 67
- Artificial Intelligence 193
- Media Technology 48
Countries citing papers authored by Jun Hou
This map shows the geographic impact of Jun Hou'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 Jun Hou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Hou more than expected).
Fields of papers citing papers by Jun Hou
This network shows the impact of papers produced by Jun Hou. 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 Jun Hou. The network helps show where Jun Hou may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Hou, 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 50 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 72 | |
| 2 | 2019 | 49 | |
| 3 | 2018 | 49 | |
| 4 | 2019 | 32 | |
| 5 | 2019 | 27 | |
| 6 | 2020 | 22 | |
| 7 | 2020 | 20 | |
| 8 | 2020 | 17 | |
| 9 | 2020 | 17 | |
| 10 | 2019 | 17 | |
| 11 | 2024 | 13 | |
| 12 | 2021 | 13 | |
| 13 | 2022 | 10 | |
| 14 | 2019 | 10 | |
| 15 | 2015 | 10 | |
| 16 | 2023 | 9 | |
| 17 | 2004 | 7 | |
| 18 | 2025 | 7 | |
| 19 | 2023 | 5 | |
| 20 | 2014 | 5 |
About Jun Hou
Jun Hou is a scholar working on Artificial Intelligence, Computer Networks and Communications, Information Systems, Computer Vision and Pattern Recognition and Signal Processing, having authored 50 papers that have together received 478 indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (9 papers), Privacy-Preserving Technologies in Data (7 papers), Cryptography and Data Security (5 papers), Advanced Steganography and Watermarking Techniques (5 papers), Advanced Malware Detection Techniques (5 papers), Anomaly Detection Techniques and Applications (4 papers), Information and Cyber Security (4 papers) and Chaos-based Image/Signal Encryption (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (191 citations), Computer Networks and Communications (157 citations), Signal Processing (67 citations), Artificial Intelligence (193 citations) and Media Technology (48 citations). Jun Hou has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Qianmu Li, Shunmei Meng, Milad Taleby Ahvanooey, Sainan Zhang, Haijun Zhang, Jingjing Liu, Quanxue Gao, Jing Zhang, Yaozong Liu and Lianyong Qi. Their work appears in journals such as IEEE Access, Journal of Organizational and End User Computing, Mobile Networks and Applications, Computational Intelligence and Neuroscience and Ad Hoc Networks.
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.