Biao Hou
- Media Technology top 0.05%
- Remote-Sensing Image Classification 116
- Advanced Image Fusion Techniques 51
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- Advanced Image and Video Retrieval Techniques 56
- Image and Signal Denoising Methods 30
- Advanced Neural Network Applications 30
- Aerospace Engineering top 0.5%
- Synthetic Aperture Radar (SAR) Applications and Techniques 68
- Advanced SAR Imaging Techniques 57
- Atmospheric Science top 2%
- Remote Sensing and Land Use 32
- Ocean Engineering top 1%
Biao Hou
271 papers receiving 5.2k citations
Peers
Comparison fields: 5 of 141
- Media Technology 2.4k
- Computer Vision and Pattern Recognition 2.4k
- Aerospace Engineering 1.8k
- Atmospheric Science 781
- Ocean Engineering 433
Countries citing papers authored by Biao Hou
This map shows the geographic impact of Biao 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 Biao Hou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Biao Hou more than expected).
Fields of papers citing papers by Biao Hou
This network shows the impact of papers produced by Biao 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 Biao Hou. The network helps show where Biao Hou may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Biao 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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 2 | |
| 3 | 2025 | 2 | |
| 4 | 2025 | 0 | |
| 5 | 2024 | 10 | |
| 6 | 2024 | 13 | |
| 7 | 2024 | 3 | |
| 8 | 2024 | 1 | |
| 9 | 2024 | 7 | |
| 10 | 2024 | 3 | |
| 11 | 2024 | 7 | |
| 12 | 2023 | 1 | |
| 13 | 2023 | 2 | |
| 14 | 2023 | 6 | |
| 15 | 2023 | 8 | |
| 16 | 2023 | 15 | |
| 17 | 2023 | 9 | |
| 18 | 2021 | 11 | |
| 19 | 2020 | 36 | |
| 20 | 2019 | 0 |
About Biao Hou
Biao Hou is a scholar working on Media Technology, Computer Vision and Pattern Recognition, Aerospace Engineering, Atmospheric Science and Computational Mathematics, having authored 297 papers that have together received 5.3k indexed citations. Recurring topics across this work include Remote-Sensing Image Classification (116 papers), Synthetic Aperture Radar (SAR) Applications and Techniques (68 papers), Advanced SAR Imaging Techniques (57 papers), Advanced Image and Video Retrieval Techniques (56 papers), Advanced Image Fusion Techniques (51 papers), Remote Sensing and Land Use (32 papers), Image and Signal Denoising Methods (30 papers) and Advanced Neural Network Applications (30 papers). The work is most often cited by research in Media Technology (2.4k citations), Computer Vision and Pattern Recognition (2.4k citations), Aerospace Engineering (1.8k citations), Atmospheric Science (781 citations) and Ocean Engineering (433 citations). Biao Hou has collaborated with scholars based in China, France and United States. Frequent co-authors include Licheng Jiao, Shuyuan Yang, Shuang Wang, Fang Liu, Wenping Ma, Xiangrong Zhang, Bo Ren, Yaoguo Zheng, Lingling Li and Hao Zhu. Their work appears in journals such as IEEE Transactions on Geoscience and Remote Sensing, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Geoscience and Remote Sensing Letters, Remote Sensing and IEEE Transactions on Neural Networks and Learning Systems.
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.