Feilong Cao
Impact in
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- Face and Expression Recognition
- Advanced Image Processing Techniques
- Image and Signal Denoising Methods
- Digital Imaging for Blood Diseases
- Media Technology top 0.5%
- Remote-Sensing Image Classification
- Advanced Image Fusion Techniques
Papers in
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- Face and Expression Recognition 28
- Advanced Image Processing Techniques 19
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- Image Processing Techniques and Applications 19
- Co-authors
- Jianwei ZhaoHailiang YeYu Guang WangZhixiang ChenYubo YuanZhenghua ZhouDianhui WangWenhui Guo
- Journals
- Neurocomputing (16 papers)Knowledge-Based Systems (14 papers)Neural Networks (12 papers)International Journal of Machine Learning and Cybernetics (9 papers)Information Sciences (7 papers)
- Partner nations
- ChinaAustraliaSouth Korea
In The Last Decade
Feilong Cao
174 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 129
- Computer Vision and Pattern Recognition 1.2k
- Media Technology 464
- Artificial Intelligence 1.3k
- Computational Mechanics 343
- Computational Mathematics 9
Countries citing papers authored by Feilong Cao
This map shows the geographic impact of Feilong Cao'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 Feilong Cao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Feilong Cao more than expected).
Fields of papers citing papers by Feilong Cao
This network shows the impact of papers produced by Feilong Cao. 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 Feilong Cao. The network helps show where Feilong Cao may publish in the future.
Co-authors
The 25 scholars most cited alongside Feilong Cao, 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 | 2024 | 2 | |
| 3 | 2024 | 2 | |
| 4 | 2023 | 0 | |
| 5 | 2023 | 5 | |
| 6 | 2023 | 7 | |
| 7 | 2023 | 8 | |
| 8 | 2023 | 5 | |
| 9 | 2023 | 2 | |
| 10 | 2023 | 5 | |
| 11 | 2023 | 9 | |
| 12 | 2022 | 54 | |
| 13 | 2022 | 36 | |
| 14 | 2022 | 3 | |
| 15 | 2019 | 13 | |
| 16 | MODULUS OF CONTINUITY, K-FUNCTIONAL AND STANCU OPERATOR ON A SIMPLEX | 2015 | 2 |
| 17 | 2014 | 3 | |
| 18 | The construction and approximation of neural networks operators with Gaussian activation function | 2013 | 8 |
| 19 | The Diameter of Connected Domination Critical Graphs. | 2012 | 1 |
| 20 | Approximation design of composite control for singularly perturbed time-delay systems via delay compensation | 2010 | 1 |
About Feilong Cao
Feilong Cao is a scholar working on Computer Vision and Pattern Recognition, Media Technology, Geology, Computational Mechanics and Artificial Intelligence, having authored 190 papers that have together received 2.9k indexed citations. Recurring topics across this work include Neural Networks and Applications (44 papers), Face and Expression Recognition (28 papers), Machine Learning and ELM (26 papers), Sparse and Compressive Sensing Techniques (25 papers), Advanced Image Processing Techniques (19 papers), Image Processing Techniques and Applications (19 papers), 3D Shape Modeling and Analysis (19 papers) and Advanced Numerical Analysis Techniques (17 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.2k citations), Media Technology (464 citations), Artificial Intelligence (1.3k citations), Computational Mechanics (343 citations) and Computational Mathematics (9 citations). Feilong Cao has collaborated with scholars based in China, Australia and South Korea. Frequent co-authors include Jianwei Zhao, Hailiang Ye, Yu Guang Wang, Zhixiang Chen, Yubo Yuan, Zhenghua Zhou, Dianhui Wang, Wenhui Guo, Ming Li and Miaomiao Cai. Their work appears in journals such as Neurocomputing, Knowledge-Based Systems, Neural Networks, International Journal of Machine Learning and Cybernetics and Information Sciences.
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.