Bohan Li
Impact in
- Acoustics and Ultrasonics top 10%
- Artificial Intelligence top 5%
- Neural Networks and Reservoir Computing
- Speech Recognition and Synthesis
Papers in
-
- Photonic and Optical Devices 9
- Semiconductor Lasers and Optical Devices 3
-
- Advanced Fiber Laser Technologies 9
- Mechanical and Optical Resonators 4
- Photorefractive and Nonlinear Optics 2
- Co-authors
- Ying Zuo (1 shared paper)Junwei Liu (1 shared paper)Shengwang Du (1 shared paper)Yujun Zhao (1 shared paper)Yue Jiang (1 shared paper)Gyu-Boong Jo (1 shared paper)Peng Chen (1 shared paper)Zhiquan Yuan (8 shared papers)
- Journals
- Optica (3 papers)Laser & Photonics Review (1 paper)Applied Physics A (1 paper)Science Advances (1 paper)Nature (1 paper)
- Partner nations
- United StatesChinaHong Kong
In The Last Decade
Bohan Li
16 papers receiving 684 citations
Bohan Li's Hit Papers
Peers
Comparison fields: 5 of 52
- Acoustics and Ultrasonics 23
- Artificial Intelligence 382
- Electrical and Electronic Engineering 492
- Atomic and Molecular Physics, and Optics 251
- Signal Processing 65
Countries citing papers authored by Bohan Li
This map shows the geographic impact of Bohan 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 Bohan Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bohan Li more than expected).
Fields of papers citing papers by Bohan Li
This network shows the impact of papers produced by Bohan 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 Bohan Li. The network helps show where Bohan Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Bohan Li, 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 | All-optical neural network with nonlinear activation functions Hit paper breakdown → | 2019 | 329 |
| 2 | 2021 | 96 | |
| 3 | 2021 | 53 | |
| 4 | 2020 | 45 | |
| 5 | 2023 | 41 | |
| 6 | 2022 | 35 | |
| 7 | 2023 | 31 | |
| 8 | 2023 | 30 | |
| 9 | 2021 | 30 | |
| 10 | 2025 | 18 | |
| 11 | 2024 | 9 | |
| 12 | 2021 | 8 | |
| 13 | 2022 | 7 | |
| 14 | 2024 | 4 | |
| 15 | 2025 | 3 | |
| 16 | 2023 | 1 | |
| 17 | 2022 | 0 |
About Bohan Li
Bohan Li is a scholar working on Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics, Artificial Intelligence, Electronic, Optical and Magnetic Materials and Condensed Matter Physics, having authored 17 papers that have together received 740 indexed citations. Recurring topics across this work include Photonic and Optical Devices (9 papers), Advanced Fiber Laser Technologies (9 papers), Mechanical and Optical Resonators (4 papers), Speech Recognition and Synthesis (3 papers), Semiconductor Lasers and Optical Devices (3 papers), Photorefractive and Nonlinear Optics (2 papers), Magnetic Bearings and Levitation Dynamics (1 paper) and Electrospun Nanofibers in Biomedical Applications (1 paper). The work is most often cited by research in Acoustics and Ultrasonics (23 citations), Artificial Intelligence (382 citations), Electrical and Electronic Engineering (492 citations), Atomic and Molecular Physics, and Optics (251 citations) and Signal Processing (65 citations). Bohan Li has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Ying Zuo, Junwei Liu, Shengwang Du, Yujun Zhao, Yue Jiang, Gyu-Boong Jo, Peng Chen, Zhiquan Yuan, Kerry J. Vahala and John E. Bowers. Their work appears in journals such as Optica, Laser & Photonics Review, Applied Physics A, Science Advances and Nature.
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.