Yuanfeng Wu
- Media Technology top 1%
- Remote-Sensing Image Classification 24
- Advanced Image Fusion Techniques 4
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- Advanced Neural Network Applications 10
- Advanced Image and Video Retrieval Techniques 9
- Atmospheric Science top 10%
- Remote Sensing and Land Use 15
- Oceanography top 10%
- Marine and coastal ecosystems 6
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- Water Quality Monitoring and Analysis 6
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- Water Quality Monitoring Technologies 6
Yuanfeng Wu
48 papers receiving 763 citations
Hit Papers
Peers
Comparison fields: 5 of 99
- Media Technology 418
- Computer Vision and Pattern Recognition 263
- Atmospheric Science 192
- Oceanography 62
- Industrial and Manufacturing Engineering 41
Countries citing papers authored by Yuanfeng Wu
This map shows the geographic impact of Yuanfeng Wu'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 Yuanfeng Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuanfeng Wu more than expected).
Fields of papers citing papers by Yuanfeng Wu
This network shows the impact of papers produced by Yuanfeng Wu. 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 Yuanfeng Wu. The network helps show where Yuanfeng Wu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yuanfeng Wu, 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 | 0 | |
| 2 | 2025 | 3 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 2 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 10 | |
| 7 | 2024 | 2 | |
| 8 | 2024 | 4 | |
| 9 | 2024 | 4 | |
| 10 | 2024 | 3 | |
| 11 | 2023 | 9 | |
| 12 | 2023 | 26 | |
| 13 | 2023 | 3 | |
| 14 | Progress and Challenges in Intelligent Remote Sensing Satellite Systemsbreakdown → | 2022 | 250 |
| 15 | 2022 | 11 | |
| 16 | 2021 | 19 | |
| 17 | 2021 | 2 | |
| 18 | 2013 | 7 | |
| 19 | 2011 | 1 | |
| 20 | Paleo Tibetan Lake Extent Mapping from High-Resolution Satellite Imagery and Digital Elevation Models: A Case Study of Dagze Lake | 2006 | 1 |
About Yuanfeng Wu
Yuanfeng Wu is a scholar working on Media Technology, Atmospheric Science and Computer Vision and Pattern Recognition, having authored 52 papers that have together received 802 indexed citations. Recurring topics across this work include Remote-Sensing Image Classification (24 papers), Remote Sensing and Land Use (15 papers), Advanced Neural Network Applications (10 papers), Advanced Image and Video Retrieval Techniques (9 papers), Water Quality Monitoring Technologies (6 papers), Marine and coastal ecosystems (6 papers), Water Quality Monitoring and Analysis (6 papers) and Advanced Image Fusion Techniques (4 papers). The work is most often cited by research in Media Technology (418 citations), Computer Vision and Pattern Recognition (263 citations) and Atmospheric Science (192 citations). Yuanfeng Wu has collaborated with scholars based in China, United States and Spain. Frequent co-authors include Lianru Gao, Bing Zhang, Boya Zhao, Danfeng Hong, Jocelyn Chanussot, Jing Yao, Xu Sun, Qian Du, Wei Yang and Bing Zhang. Their work appears in journals such as IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Remote Sensing, Science China Earth Sciences, International Journal of Digital Earth and Soft Computing.
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.