Jiangfan Feng
- Media Technology top 5%
- Remote-Sensing Image Classification 18
-
- Advanced Image and Video Retrieval Techniques 16
- Video Surveillance and Tracking Methods 11
- Advanced Neural Network Applications 9
- Multimodal Machine Learning Applications 6
- Artificial Intelligence top 10%
- Domain Adaptation and Few-Shot Learning 8
-
- Automated Road and Building Extraction 8
-
- Remote Sensing and Land Use 6
- Co-authors
- Ying XiaXu ZhangJin TaoZhujun GuYanhong LiuYidong PengLi‐Xin HuXiaobo Luo
- Journals
- The Science of The Total Environment (1 paper)Scientific Reports (1 paper)IEEE Transactions on Geoscience and Remote Sensing (1 paper)
- Partner nations
- ChinaIndiaSouth Korea
In The Last Decade
Jiangfan Feng
52 papers receiving 432 citations
Peers
Comparison fields: 5 of 79
- Media Technology 89
- Computer Vision and Pattern Recognition 179
- Artificial Intelligence 134
- Transportation 16
- Computer Networks and Communications 54
Countries citing papers authored by Jiangfan Feng
This map shows the geographic impact of Jiangfan Feng'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 Jiangfan Feng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jiangfan Feng more than expected).
Fields of papers citing papers by Jiangfan Feng
This network shows the impact of papers produced by Jiangfan Feng. 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 Jiangfan Feng. The network helps show where Jiangfan Feng may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jiangfan Feng, 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 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 0 | |
| 5 | 2025 | 0 | |
| 6 | 2025 | 0 | |
| 7 | 2024 | 2 | |
| 8 | 2024 | 3 | |
| 9 | 2024 | 3 | |
| 10 | 2024 | 5 | |
| 11 | 2024 | 6 | |
| 12 | 2023 | 4 | |
| 13 | 2023 | 3 | |
| 14 | 2023 | 2 | |
| 15 | 2023 | 0 | |
| 16 | 2023 | 28 | |
| 17 | 2023 | 3 | |
| 18 | 2014 | 0 | |
| 19 | 2013 | 1 | |
| 20 | 2013 | 1 |
About Jiangfan Feng
Jiangfan Feng is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Ocean Engineering, having authored 63 papers that have together received 446 indexed citations. Recurring topics across this work include Remote-Sensing Image Classification (18 papers), Advanced Image and Video Retrieval Techniques (16 papers), Video Surveillance and Tracking Methods (11 papers), Advanced Neural Network Applications (9 papers), Automated Road and Building Extraction (8 papers), Domain Adaptation and Few-Shot Learning (8 papers), Remote Sensing and Land Use (6 papers) and Multimodal Machine Learning Applications (6 papers). The work is most often cited by research in Media Technology (89 citations), Computer Vision and Pattern Recognition (179 citations) and Artificial Intelligence (134 citations). Jiangfan Feng has collaborated with scholars based in China, India and South Korea. Frequent co-authors include Ying Xia, Xu Zhang, Jin Tao, Zhujun Gu, Yanhong Liu, Yidong Peng, Li‐Xin Hu, Xiaobo Luo, Xinxin Xiao and Dini Wang. Their work appears in journals such as The Science of The Total Environment, Scientific Reports and IEEE Transactions on Geoscience and Remote Sensing.
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.