Dengpan Fu
Impact in
- Media Technology top 0.5%
- Advanced Image Fusion Techniques
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- Image Enhancement Techniques
- Advanced Image Processing Techniques
- Video Surveillance and Tracking Methods
- Advanced Neural Network Applications
- Advanced Vision and Imaging
- Image and Signal Denoising Methods
Papers in
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- Video Surveillance and Tracking Methods 6
- Human Pose and Action Recognition 4
- Advanced Neural Network Applications 2
- Image Enhancement Techniques 2
- Advanced Image and Video Retrieval Techniques 1
- Face recognition and analysis 1
- Advanced Vision and Imaging 1
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- Automated Road and Building Extraction 1
- Journals
- IEEE Transactions on Image Processing (2 papers)2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (1 paper)arXiv (Cornell University) (1 paper)
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Dengpan Fu
6 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 56
- Media Technology 680
- Computer Vision and Pattern Recognition 1.6k
- Safety, Risk, Reliability and Quality 184
- Acoustics and Ultrasonics 11
- Computer Graphics and Computer-Aided Design 30
Countries citing papers authored by Dengpan Fu
This map shows the geographic impact of Dengpan Fu'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 Dengpan Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dengpan Fu more than expected).
Fields of papers citing papers by Dengpan Fu
This network shows the impact of papers produced by Dengpan Fu. 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 Dengpan Fu. The network helps show where Dengpan Fu may publish in the future.
Co-authorship network
The 22 scholars most cited alongside Dengpan Fu, 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 | 2023 | 5 | |
| 2 | 2022 | 52 | |
| 3 | 2021 | 119 | |
| 4 | 2020 | 8 | |
| 5 | Benchmarking Single-Image Dehazing and Beyond Hit paper breakdown → | 2018 | 1389 |
| 6 | RESIDE: A Benchmark for Single Image Dehazing. | 2017 | 50 |
About Dengpan Fu
Dengpan Fu is a scholar working on Computer Vision and Pattern Recognition, Ocean Engineering, Infectious Diseases, Organic Chemistry and Surgery, having authored 6 papers that have together received 1.6k indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (6 papers), Human Pose and Action Recognition (4 papers), Advanced Neural Network Applications (2 papers), Image Enhancement Techniques (2 papers), Advanced Image and Video Retrieval Techniques (1 paper), Automated Road and Building Extraction (1 paper), Face recognition and analysis (1 paper) and Advanced Vision and Imaging (1 paper). The work is most often cited by research in Media Technology (680 citations), Computer Vision and Pattern Recognition (1.6k citations), Safety, Risk, Reliability and Quality (184 citations), Acoustics and Ultrasonics (11 citations) and Computer Graphics and Computer-Aided Design (30 citations). Dengpan Fu has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Wenqi Ren, Zhangyang Wang, Boyi Li, Dacheng Tao, Wenjun Zeng, Dan Feng, Jianmin Bao, Houqiang Li, Dongdong Chen and Hao Yang. Their work appears in journals such as IEEE Transactions on Image Processing, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) and arXiv (Cornell University).
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.