Kai Hu
Impact in
- Media Technology top 1%
- Remote-Sensing Image Classification
- Advanced Image Fusion Techniques
-
- Image Enhancement Techniques
- Advanced Neural Network Applications
Papers in
-
- Human Pose and Action Recognition 13
- Image Enhancement Techniques 12
-
- Privacy-Preserving Technologies in Data 11
- Co-authors
- Min Xia (48 shared papers)Haifeng Lin (20 shared papers)Liguo Weng (23 shared papers)Liguo Weng (15 shared papers)Junlan Jin (8 shared papers)Zhibin Yang (10 shared papers)Qingfeng Xia (6 shared papers)Wentong Liao (1 shared paper)
- Journals
- Remote Sensing (14 papers)IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (9 papers)Applied Sciences (6 papers)Frontiers of Computer Science (3 papers)Neurocomputing (3 papers)
- Partner nations
- ChinaFranceUnited Kingdom
In The Last Decade
Kai Hu
192 papers receiving 2.5k citations
Kai Hu's Hit Papers
Peers
Comparison fields: 5 of 146
- Media Technology 437
- Computer Vision and Pattern Recognition 885
- Artificial Intelligence 649
- Software 68
- Information Systems 351
Countries citing papers authored by Kai Hu
This map shows the geographic impact of Kai Hu'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 Kai Hu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kai Hu more than expected).
Fields of papers citing papers by Kai Hu
This network shows the impact of papers produced by Kai Hu. 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 Kai Hu. The network helps show where Kai Hu may publish in the future.
Co-authors
The 25 scholars most cited alongside Kai Hu, 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 219 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 125 | |
| 2 | 2018 | 108 | |
| 3 | 2022 | 95 | |
| 4 | 2022 | 89 | |
| 5 | 2018 | 64 | |
| 6 | 2023 | 62 | |
| 7 | 2022 | 56 | |
| 8 | 2022 | 47 | |
| 9 | 2022 | 45 | |
| 10 | 2021 | 44 | |
| 11 | Dual-Attention-Guided Multiscale Feature Aggregation Network for Remote Sensing Image Change Detection Hit paper breakdown → | 2024 | 44 |
| 12 | 2018 | 43 | |
| 13 | 2023 | 41 | |
| 14 | 2017 | 40 | |
| 15 | 2021 | 38 | |
| 16 | 2023 | 38 | |
| 17 | 2017 | 38 | |
| 18 | 2023 | 37 | |
| 19 | 2014 | 36 | |
| 20 | 2020 | 36 |
About Kai Hu
Kai Hu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Media Technology, Control and Systems Engineering and Computer Networks and Communications, having authored 219 papers that have together received 2.6k indexed citations. Recurring topics across this work include Remote-Sensing Image Classification (20 papers), Advanced Image Fusion Techniques (15 papers), Human Pose and Action Recognition (13 papers), Real-Time Systems Scheduling (12 papers), Image Enhancement Techniques (12 papers), Formal Methods in Verification (11 papers), Embedded Systems Design Techniques (11 papers) and Privacy-Preserving Technologies in Data (11 papers). The work is most often cited by research in Media Technology (437 citations), Computer Vision and Pattern Recognition (885 citations), Artificial Intelligence (649 citations), Software (68 citations) and Information Systems (351 citations). Kai Hu has collaborated with scholars based in China, France and United Kingdom. Frequent co-authors include Min Xia, Haifeng Lin, Liguo Weng, Liguo Weng, Junlan Jin, Zhibin Yang, Qingfeng Xia, Wentong Liao, Ming Qian and Bodo Rosenhahn. Their work appears in journals such as Remote Sensing, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Applied Sciences, Frontiers of Computer Science and Neurocomputing.
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.