Ben Wu
Impact in
- Artificial Intelligence top 5%
- Neural Networks and Reservoir Computing
Papers in
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- Optical Network Technologies 30
- Advanced Photonic Communication Systems 17
- Photonic and Optical Devices 10
- graph theory and CDMA systems 8
- Semiconductor Lasers and Optical Devices 5
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- Neural Networks and Reservoir Computing 14
- Co-authors
- Paul R. Prucnal (30 shared papers)Bhavin J. Shastri (23 shared papers)Alexander N. Tait (13 shared papers)Matthew P. Chang (11 shared papers)Mitchell A. Nahmias (9 shared papers)Alejandro W. Rodríguez (1 shared paper)Yue Tian (5 shared papers)Mable P. Fok (3 shared papers)
- Journals
- IEEE Photonics Technology Letters (6 papers)Optics Express (5 papers)Journal of Lightwave Technology (2 papers)Optics Letters (2 papers)Scientific Reports (1 paper)
- Partner nations
- United StatesChinaCanada
In The Last Decade
Ben Wu
53 papers receiving 685 citations
Peers
Comparison fields: 5 of 58
- Acoustics and Ultrasonics 11
- Artificial Intelligence 351
- Electrical and Electronic Engineering 579
- Computer Vision and Pattern Recognition 101
- Computer Science Applications 20
Countries citing papers authored by Ben Wu
This map shows the geographic impact of Ben 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 Ben Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ben Wu more than expected).
Fields of papers citing papers by Ben Wu
This network shows the impact of papers produced by Ben 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 Ben Wu. The network helps show where Ben Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Ben 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 55 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 134 | |
| 2 | 2013 | 82 | |
| 3 | 2015 | 45 | |
| 4 | 2020 | 38 | |
| 5 | 2007 | 35 | |
| 6 | 2014 | 33 | |
| 7 | 2015 | 32 | |
| 8 | 2015 | 25 | |
| 9 | 2014 | 23 | |
| 10 | 2021 | 18 | |
| 11 | 2013 | 18 | |
| 12 | 2014 | 18 | |
| 13 | 2018 | 18 | |
| 14 | 2015 | 17 | |
| 15 | 2014 | 17 | |
| 16 | 2023 | 11 | |
| 17 | 2015 | 9 | |
| 18 | 2013 | 9 | |
| 19 | 2013 | 9 | |
| 20 | 2016 | 9 |
About Ben Wu
Ben Wu is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence, Computer Vision and Pattern Recognition, Atomic and Molecular Physics, and Optics and Signal Processing, having authored 55 papers that have together received 706 indexed citations. Recurring topics across this work include Optical Network Technologies (30 papers), Advanced Photonic Communication Systems (17 papers), Neural Networks and Reservoir Computing (14 papers), Photonic and Optical Devices (10 papers), graph theory and CDMA systems (8 papers), Chaos-based Image/Signal Encryption (7 papers), Advanced Steganography and Watermarking Techniques (6 papers) and Semiconductor Lasers and Optical Devices (5 papers). The work is most often cited by research in Acoustics and Ultrasonics (11 citations), Artificial Intelligence (351 citations), Electrical and Electronic Engineering (579 citations), Computer Vision and Pattern Recognition (101 citations) and Computer Science Applications (20 citations). Ben Wu has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Paul R. Prucnal, Bhavin J. Shastri, Alexander N. Tait, Matthew P. Chang, Mitchell A. Nahmias, Alejandro W. Rodríguez, Yue Tian, Mable P. Fok, Zhenxing Wang and Zhenxing Wang. Their work appears in journals such as IEEE Photonics Technology Letters, Optics Express, Journal of Lightwave Technology, Optics Letters and Scientific Reports.
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.