Rong Fu
- Computer Vision and Pattern Recognition top 10%
- Artificial Intelligence
- Electrical and Electronic Engineering
- Computer Networks and Communications
- Aerospace Engineering
- Co-authors
- Zuying LuoYonina C. EldarTianyao HuangYimin LiuXinyu ZhangLi WangA. W. RoscoeDan Wang
- Topics
- Sparse and Compressive Sensing Techniques (4 papers)Microgrid Control and Optimization (3 papers)Image and Signal Denoising Methods (3 papers)
- Journals
- IEEE Transactions on Signal ProcessingIndustrial & Engineering Chemistry ResearchIEEE Transactions on Vehicular Technology
- Partner nations
- ChinaIsraelUnited States
In The Last Decade
Rong Fu
36 papers receiving 264 citations
Peers
Comparison fields: 5 of 67
- Computer Vision and Pattern Recognition 84
- Artificial Intelligence 58
- Electrical and Electronic Engineering 49
- Computer Networks and Communications 49
- Aerospace Engineering 48
Countries citing papers authored by Rong Fu
This map shows the geographic impact of Rong 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 Rong Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rong Fu more than expected).
Fields of papers citing papers by Rong Fu
This network shows the impact of papers produced by Rong 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 Rong Fu. The network helps show where Rong Fu may publish in the future.
Co-authorship network of co-authors of Rong Fu
This figure shows the co-authorship network connecting the top 25 collaborators of Rong Fu. A scholar is included among the top collaborators of Rong 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 Rong Fu. Rong 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 | 0 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 35 | |
| 5 | 1 | |
| 6 | 9 | |
| 7 | 5 | |
| 8 | 1 | |
| 9 | 3 | |
| 10 | 10 | |
| 11 | 2 | |
| 12 | 20 | |
| 13 | 11 | |
| 14 | 16 | |
| 15 | 4 | |
| 16 | User interactive Internet of things privacy preserved access control | 23 |
| 17 | 7 | |
| 18 | Automatically discriminating overlapped cell based on shape factor analysis:a technical study | 1 |
| 19 | Study on Subthermal Quenching Technology for 20SiMnTi Steel | 1 |
| 20 | 1 |
About Rong Fu
Rong Fu is a scholar working on Instrumentation, Computer Vision and Pattern Recognition and Signal Processing, having authored 37 papers that have together received 275 indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (4 papers), Microgrid Control and Optimization (3 papers) and Image and Signal Denoising Methods (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (84 citations), Signal Processing (34 citations) and Instrumentation (8 citations). Rong Fu has collaborated with scholars based in China, Israel and United States. Frequent co-authors include Zuying Luo, Yonina C. Eldar, Tianyao Huang, Yimin Liu, Xinyu Zhang, Li Wang, A. W. Roscoe, Dan Wang, Yingjun Wu and Tingting Zhang. Their work appears in journals such as IEEE Transactions on Signal Processing, Industrial & Engineering Chemistry Research and IEEE Transactions on Vehicular Technology.
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.