Bin Wu
Impact in
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- Advanced Fiber Optic Sensors
- Photonic and Optical Devices
- Semiconductor Lasers and Optical Devices
- Photonic Crystal and Fiber Optics
- Optical Network Technologies
Papers in
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- Advanced Fiber Optic Sensors 10
- Photonic and Optical Devices 10
- Optical Network Technologies 10
- Semiconductor Lasers and Optical Devices 7
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- Face and Expression Recognition 6
- Video Surveillance and Tracking Methods 6
- Image Enhancement Techniques 5
- Co-authors
- P.L. Chu (8 shared papers)Zhen Xiong (3 shared papers)Gang‐Ding Peng (2 shared papers)P. L. Chu (2 shared papers)Lei Gao (1 shared paper)Xi‐jian Dai (1 shared paper)Yi-Xiang Wang (1 shared paper)Honghan Gong (1 shared paper)
In The Last Decade
Bin Wu
104 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 135
- Electrical and Electronic Engineering 515
- Acoustics and Ultrasonics 7
- Atomic and Molecular Physics, and Optics 195
- Endocrine and Autonomic Systems 27
- Computer Vision and Pattern Recognition 87
Countries citing papers authored by Bin Wu
This map shows the geographic impact of Bin Wu'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 Bin Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bin Wu more than expected).
Fields of papers citing papers by Bin Wu
This network shows the impact of papers produced by Bin Wu. 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 Bin Wu. The network helps show where Bin Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Bin Wu, 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 115 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1999 | 237 | |
| 2 | 2015 | 86 | |
| 3 | 1992 | 54 | |
| 4 | 2013 | 41 | |
| 5 | 2022 | 36 | |
| 6 | 1997 | 29 | |
| 7 | 1999 | 26 | |
| 8 | 2023 | 23 | |
| 9 | 2019 | 22 | |
| 10 | 2019 | 22 | |
| 11 | 2023 | 19 | |
| 12 | 1996 | 18 | |
| 13 | 1999 | 17 | |
| 14 | 2012 | 17 | |
| 15 | 2024 | 15 | |
| 16 | 2023 | 15 | |
| 17 | 2020 | 14 | |
| 18 | 2013 | 14 | |
| 19 | 2023 | 13 | |
| 20 | 2015 | 13 |
About Bin Wu
Bin Wu is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, Atomic and Molecular Physics, and Optics, Computational Mechanics and Aerospace Engineering, having authored 115 papers that have together received 1.1k indexed citations. Recurring topics across this work include Advanced Fiber Laser Technologies (11 papers), Advanced Fiber Optic Sensors (10 papers), Photonic and Optical Devices (10 papers), Optical Network Technologies (10 papers), Semiconductor Lasers and Optical Devices (7 papers), Face and Expression Recognition (6 papers), Video Surveillance and Tracking Methods (6 papers) and Image Enhancement Techniques (5 papers). The work is most often cited by research in Electrical and Electronic Engineering (515 citations), Acoustics and Ultrasonics (7 citations), Atomic and Molecular Physics, and Optics (195 citations), Endocrine and Autonomic Systems (27 citations) and Computer Vision and Pattern Recognition (87 citations). Bin Wu has collaborated with scholars based in China, Australia and Hong Kong. Frequent co-authors include P.L. Chu, Zhen Xiong, Gang‐Ding Peng, P. L. Chu, Lei Gao, Xi‐jian Dai, Yi-Xiang Wang, Honghan Gong, Chunlei Liu and Yanhua Shao. Their work appears in journals such as IEEE Access, IEEE Photonics Technology Letters, Journal of Lightwave Technology, Optics Letters and Journal of Alloys and Compounds.
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.