Jun Hou
Impact in
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- Image Enhancement Techniques
- Face and Expression Recognition
- Image Retrieval and Classification Techniques
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- Advanced Clustering Algorithms Research
- Privacy-Preserving Technologies in Data
- Anomaly Detection Techniques and Applications
Papers in
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- Web Data Mining and Analysis 5
- Service-Oriented Architecture and Web Services 4
- Recommender Systems and Techniques 3
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- Advanced Clustering Algorithms Research 3
- Advanced Computational Techniques and Applications 3
- Co-authors
- Richi Nayak (6 shared papers)Qianmu Li (11 shared papers)Baowen Xu (2 shared papers)Ramin Ranjbarzadeh (1 shared paper)N. Sarshar (1 shared paper)Zhiyong Cui (2 shared papers)Wei Zhang (1 shared paper)Lei Xu (2 shared papers)
In The Last Decade
Jun Hou
30 papers receiving 164 citations
Peers
Comparison fields: 5 of 71
- Computer Vision and Pattern Recognition 52
- Artificial Intelligence 76
- Software 7
- Information Systems 38
- Media Technology 13
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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 36 | |
| 2 | 2009 | 22 | |
| 3 | 2023 | 19 | |
| 4 | 2023 | 16 | |
| 5 | 2015 | 9 | |
| 6 | 2022 | 8 | |
| 7 | 2013 | 8 | |
| 8 | 2022 | 7 | |
| 9 | 2021 | 6 | |
| 10 | 2008 | 6 | |
| 11 | 2000 | 4 | |
| 12 | 2007 | 3 | |
| 13 | 2025 | 3 | |
| 14 | 2011 | 3 | |
| 15 | 2009 | 3 | |
| 16 | Web Classification Based on Latent Semantic Indexing | 2006 | 2 |
| 17 | 2008 | 2 | |
| 18 | 2018 | 2 | |
| 19 | 2022 | 2 | |
| 20 | 2022 | 2 |
About Jun Hou
Jun Hou is a scholar working on Information Systems, Artificial Intelligence, Computer Vision and Pattern Recognition, Computer Networks and Communications and Signal Processing, having authored 37 papers that have together received 175 indexed citations. Recurring topics across this work include Web Data Mining and Analysis (5 papers), Service-Oriented Architecture and Web Services (4 papers), Advanced Vision and Imaging (4 papers), Advanced Image Processing Techniques (3 papers), Advanced Clustering Algorithms Research (3 papers), Image Enhancement Techniques (3 papers), Advanced Computational Techniques and Applications (3 papers) and Recommender Systems and Techniques (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (52 citations), Artificial Intelligence (76 citations), Software (7 citations), Information Systems (38 citations) and Media Technology (13 citations). Jun Hou has collaborated with scholars based in China, Australia and Iran. Frequent co-authors include Richi Nayak, Qianmu Li, Baowen Xu, Ramin Ranjbarzadeh, N. Sarshar, Zhiyong Cui, Wei Zhang, Lei Xu, Yusong Liu and Xiufen Ye. Their work appears in journals such as Multimedia Systems, Expert Systems with Applications, International Journal of Advancements in Computing Technology, IET Control Theory and Applications and Journal of Cloud Computing Advances Systems and Applications.
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.