Fang Li
- Computer Vision and Pattern Recognition top 1%
- Media Technology top 0.5%
- Computational Mechanics top 5%
- Biomedical Engineering
- Radiology, Nuclear Medicine and Imaging top 10%
- Co-authors
- Guixu ZhangFaming FangPeixuan ZhangMichael K. NgChaomin ShenXiao-Guang LvZhihao GuZhibin Li
- Topics
- Image and Signal Denoising Methods (48 papers)Advanced Image Processing Techniques (27 papers)Advanced Image Fusion Techniques (22 papers)
- Journals
- Physical Review LettersEnvironmental Science & TechnologyIEEE Transactions on Pattern Analysis and Machine Intelligence
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Fang Li
140 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 130
- Computer Vision and Pattern Recognition 1.1k
- Media Technology 664
- Computational Mechanics 261
- Biomedical Engineering 221
- Radiology, Nuclear Medicine and Imaging 153
Countries citing papers authored by Fang Li
This map shows the geographic impact of Fang Li'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 Fang Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fang Li more than expected).
Fields of papers citing papers by Fang Li
This network shows the impact of papers produced by Fang Li. 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 Fang Li. The network helps show where Fang Li may publish in the future.
Co-authorship network of co-authors of Fang Li
This figure shows the co-authorship network connecting the top 25 collaborators of Fang Li. A scholar is included among the top collaborators of Fang Li 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 Fang Li. Fang Li 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 | 2 | |
| 3 | 5 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 6 | |
| 8 | 3 | |
| 9 | 0 | |
| 10 | 10 | |
| 11 | 7 | |
| 12 | 2 | |
| 13 | A PDE-based Hybrid Model for De-noising Remote Sensing Image with Gaussian and Salt-pepper Noise | 1 |
| 14 | 8 | |
| 15 | CCNU at TAC 2008:Proceeding on Using Semantic Method for Automated Summarization Yield | 11 |
| 16 | Research on Transformer Fault Diagnosis of Dissolved Gasses in Oil Based on RS-SVM | 1 |
| 17 | Image Restoration Combining the Total Variation Minimization and a Second-Order Functional | 0 |
| 18 | The Application of Fault Diagnosis Based on Fuzzy Neural Networks | 1 |
| 19 | On the Communicating Characteristics of Internet Medium | 0 |
| 20 | AN OPTIMIZATION METHOD FOR GRADE SEPARATION RAMP PLANE ALIGNMENT DESIGN | 1 |
About Fang Li
Fang Li is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Modeling and Simulation, having authored 159 papers that have together received 2.0k indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (48 papers), Advanced Image Processing Techniques (27 papers) and Advanced Image Fusion Techniques (22 papers). The work is most often cited by research in Media Technology (664 citations), Computer Vision and Pattern Recognition (1.1k citations) and Computational Mathematics (24 citations). Fang Li has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Guixu Zhang, Faming Fang, Peixuan Zhang, Michael K. Ng, Chaomin Shen, Xiao-Guang Lv, Zhihao Gu, Zhibin Li, Tieyong Zeng and Tingting Wang. Their work appears in journals such as Physical Review Letters, Environmental Science & Technology and IEEE Transactions on Pattern Analysis and Machine Intelligence.
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.