Hao Shen
Impact in
- Hardware and Architecture top 10%
- Embedded Systems Design Techniques
- Parallel Computing and Optimization Techniques
Papers in
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- Embedded Systems Design Techniques 10
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- Advanced Image Processing Techniques 5
- Image Enhancement Techniques 3
- Co-authors
- Frédéric Pétrot (8 shared papers)Tianqi Hou (1 shared paper)Yushun Zhao (1 shared paper)Zhong‐Qiu Zhao (9 shared papers)Knut Hüper (5 shared papers)Yulun Zhang (3 shared papers)Zhao Zhang (2 shared papers)Klaus J. Diepold (6 shared papers)
In The Last Decade
Hao Shen
45 papers receiving 438 citations
Peers
Comparison fields: 5 of 40
- Computational Mathematics 7
- Hardware and Architecture 79
- Surfaces, Coatings and Films 60
- Signal Processing 56
- Computer Vision and Pattern Recognition 130
Countries citing papers authored by Hao Shen
This map shows the geographic impact of Hao Shen'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 Hao Shen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hao Shen more than expected).
Fields of papers citing papers by Hao Shen
This network shows the impact of papers produced by Hao Shen. 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 Hao Shen. The network helps show where Hao Shen may publish in the future.
Co-authors
The 25 scholars most cited alongside Hao Shen, 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 47 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 103 | |
| 2 | 2023 | 35 | |
| 3 | 2022 | 21 | |
| 4 | 2010 | 19 | |
| 5 | 2011 | 18 | |
| 6 | 2019 | 18 | |
| 7 | 2022 | 18 | |
| 8 | 2007 | 17 | |
| 9 | 2017 | 16 | |
| 10 | 2022 | 13 | |
| 11 | 2024 | 13 | |
| 12 | Geometric Optimisation and FastICA Algorithms | 2006 | 11 |
| 13 | 2006 | 11 | |
| 14 | 2012 | 11 | |
| 15 | 2009 | 10 | |
| 16 | HRTF customization using multiway array analysis | 2010 | 10 |
| 17 | 2025 | 10 | |
| 18 | 2009 | 9 | |
| 19 | 2023 | 9 | |
| 20 | 2009 | 8 |
About Hao Shen
Hao Shen is a scholar working on Hardware and Architecture, Computer Vision and Pattern Recognition, Signal Processing, Computational Theory and Mathematics and Artificial Intelligence, having authored 47 papers that have together received 447 indexed citations. Recurring topics across this work include Embedded Systems Design Techniques (10 papers), Blind Source Separation Techniques (6 papers), Reinforcement Learning in Robotics (5 papers), Advanced Image Processing Techniques (5 papers), Matrix Theory and Algorithms (3 papers), Image Enhancement Techniques (3 papers), Interconnection Networks and Systems (2 papers) and Advanced Optical Imaging Technologies (1 paper). The work is most often cited by research in Computational Mathematics (7 citations), Hardware and Architecture (79 citations), Surfaces, Coatings and Films (60 citations), Signal Processing (56 citations) and Computer Vision and Pattern Recognition (130 citations). Hao Shen has collaborated with scholars based in China, Germany and France. Frequent co-authors include Frédéric Pétrot, Tianqi Hou, Yushun Zhao, Zhong‐Qiu Zhao, Knut Hüper, Yulun Zhang, Zhao Zhang, Klaus J. Diepold, Abd‐Krim Seghouane and Christian Keimel. Their work appears in journals such as Pattern Recognition, IEEE Transactions on Geoscience and Remote Sensing, IEEE Transactions on Automatic Control, IEEE Transactions on Dielectrics and Electrical Insulation and IEEE Transactions on Image Processing.
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.