Lei Feng
Impact in
- Computational Mathematics top 10%
- Surfaces, Coatings and Films top 5%
- Surface Modification and Superhydrophobicity
Papers in
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- Human Pose and Action Recognition 5
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- Photonic and Optical Devices 10
- Advanced Fiber Optic Sensors 4
- Semiconductor Lasers and Optical Devices 4
- Co-authors
- Huaijiang Sun (14 shared papers)Guiyu Xia (11 shared papers)Guoqing Zhang (4 shared papers)Bi Xu (1 shared paper)Fengyan Ge (1 shared paper)Quansen Sun (5 shared papers)Zaisheng Cai (1 shared paper)Tianyu Ma (2 shared papers)
In The Last Decade
Lei Feng
59 papers receiving 980 citations
Peers
Comparison fields: 5 of 124
- Computational Mathematics 12
- Surfaces, Coatings and Films 116
- Computer Vision and Pattern Recognition 271
- Media Technology 104
- Computational Mechanics 225
Countries citing papers authored by Lei Feng
This map shows the geographic impact of Lei 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 Lei Feng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lei Feng more than expected).
Fields of papers citing papers by Lei Feng
This network shows the impact of papers produced by Lei 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 Lei Feng. The network helps show where Lei Feng may publish in the future.
Co-authors
The 25 scholars most cited alongside Lei 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
Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 117 | |
| 2 | 2014 | 100 | |
| 3 | 2018 | 93 | |
| 4 | 2005 | 73 | |
| 5 | 2017 | 73 | |
| 6 | 2013 | 53 | |
| 7 | 2017 | 51 | |
| 8 | 2018 | 38 | |
| 9 | 2019 | 30 | |
| 10 | 2016 | 28 | |
| 11 | 2018 | 28 | |
| 12 | 2016 | 28 | |
| 13 | 2017 | 24 | |
| 14 | 2016 | 22 | |
| 15 | 2016 | 22 | |
| 16 | 2011 | 21 | |
| 17 | 2018 | 20 | |
| 18 | 2019 | 19 | |
| 19 | 2020 | 18 | |
| 20 | 2018 | 15 |
About Lei Feng
Lei Feng is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Biomedical Engineering, Computational Mechanics and Signal Processing, having authored 62 papers that have together received 1.0k indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (10 papers), Photonic and Optical Devices (10 papers), Advanced optical system design (7 papers), Blind Source Separation Techniques (6 papers), Human Pose and Action Recognition (5 papers), Optical Polarization and Ellipsometry (5 papers), Advanced Fiber Optic Sensors (4 papers) and Semiconductor Lasers and Optical Devices (4 papers). The work is most often cited by research in Computational Mathematics (12 citations), Surfaces, Coatings and Films (116 citations), Computer Vision and Pattern Recognition (271 citations), Media Technology (104 citations) and Computational Mechanics (225 citations). Lei Feng has collaborated with scholars based in China, Belgium and Japan. Frequent co-authors include Huaijiang Sun, Guiyu Xia, Guoqing Zhang, Bi Xu, Fengyan Ge, Quansen Sun, Zaisheng Cai, Tianyu Ma, Hu Wang and Haifeng Liu. Their work appears in journals such as Optics Communications, Information Sciences, Neurocomputing, Optics Express and IEEE Transactions on Image Processing.
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.