Jiamei Fu
- Aerospace Engineering top 5%
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence
- Oceanography
- Ocean Engineering top 10%
- Co-authors
- Zhirui WangXian SunKun FuSenzhang WangDongyu SheJufeng YangYing ZhangYuxiang Zhang
- Topics
- Advanced Neural Network Applications (5 papers)Advanced SAR Imaging Techniques (3 papers)Synthetic Aperture Radar (SAR) Applications and Techniques (3 papers)
- Journals
- IEEE Transactions on Geoscience and Remote SensingACS Macro LettersIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
- Partner nations
- ChinaUnited KingdomSingapore
In The Last Decade
Jiamei Fu
9 papers receiving 406 citations
Hit Papers
Peers
Comparison fields: 5 of 47
- Aerospace Engineering 282
- Computer Vision and Pattern Recognition 239
- Artificial Intelligence 67
- Oceanography 48
- Ocean Engineering 47
Countries citing papers authored by Jiamei Fu
This map shows the geographic impact of Jiamei 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 Jiamei Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jiamei Fu more than expected).
Fields of papers citing papers by Jiamei Fu
This network shows the impact of papers produced by Jiamei 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 Jiamei Fu. The network helps show where Jiamei Fu may publish in the future.
Co-authorship network of co-authors of Jiamei Fu
This figure shows the co-authorship network connecting the top 25 collaborators of Jiamei Fu. A scholar is included among the top collaborators of Jiamei Fu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jiamei Fu. Jiamei Fu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 24 | |
| 4 | 3 | |
| 5 | 2 | |
| 6 | 51 | |
| 7 | 53 | |
| 8 | An Anchor-Free Method Based on Feature Balancing and Refinement Network for Multiscale Ship Detection in SAR Imagesbreakdown → | 235 |
| 9 | 3 | |
| 10 | 42 |
About Jiamei Fu
Jiamei Fu is a scholar working on Process Chemistry and Technology, Computer Vision and Pattern Recognition and Polymers and Plastics, having authored 10 papers that have together received 415 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (5 papers), Advanced SAR Imaging Techniques (3 papers) and Synthetic Aperture Radar (SAR) Applications and Techniques (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (239 citations), Aerospace Engineering (282 citations) and Media Technology (43 citations). Jiamei Fu has collaborated with scholars based in China, United Kingdom and Singapore. Frequent co-authors include Zhirui Wang, Xian Sun, Kun Fu, Senzhang Wang, Dongyu She, Jufeng Yang, Ying Zhang, Yuxiang Zhang, Xin Gao and Wei Dai. Their work appears in journals such as IEEE Transactions on Geoscience and Remote Sensing, ACS Macro Letters and IEEE Journal of Selected Topics in Applied Earth Observations 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.