Boxun Li
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- Advanced Memory and Neural Computing 27
- Photonic and Optical Devices 27
- Ferroelectric and Negative Capacitance Devices 21
- CCD and CMOS Imaging Sensors 9
- Advanced Fiber Optic Sensors 6
- Biomedical Engineering top 5%
- Plasmonic and Surface Plasmon Research 25
- Hardware and Architecture top 5%
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- Photonic Crystals and Applications 12
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- Advanced Neural Network Applications 5
- Cited by
- Electrical and Electronic EngineeringElectronic, Optical and Magnetic MaterialsBiomedical Engineering
- Journals
- Scientific Reports (5 papers)IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (3 papers)Journal of Modern Optics (3 papers)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Boxun Li
58 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 65
- Electrical and Electronic Engineering 2.0k
- Electronic, Optical and Magnetic Materials 475
- Biomedical Engineering 918
- Cellular and Molecular Neuroscience 352
- Hardware and Architecture 104
Countries citing papers authored by Boxun Li
This map shows the geographic impact of Boxun 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 Boxun Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Boxun Li more than expected).
Fields of papers citing papers by Boxun Li
This network shows the impact of papers produced by Boxun 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 Boxun Li. The network helps show where Boxun Li may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Boxun 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 | 2026 | 0 | |
| 2 | 2026 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 0 | |
| 5 | 2025 | 7 | |
| 6 | 2024 | 6 | |
| 7 | 2024 | 1 | |
| 8 | 2019 | 42 | |
| 9 | 2019 | 52 | |
| 10 | 2019 | 3 | |
| 11 | 2018 | 16 | |
| 12 | 2017 | 130 | |
| 13 | 2016 | 31 | |
| 14 | 2016 | 30 | |
| 15 | 2016 | 55 | |
| 16 | 2016 | 80 | |
| 17 | 2015 | 20 | |
| 18 | 2015 | 75 | |
| 19 | 2015 | 29 | |
| 20 | 2014 | 38 |
About Boxun Li
Boxun Li is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering, Electronic, Optical and Magnetic Materials, Atomic and Molecular Physics, and Optics and Surfaces, Coatings and Films, having authored 62 papers that have together received 2.5k indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (27 papers), Photonic and Optical Devices (27 papers), Plasmonic and Surface Plasmon Research (25 papers), Ferroelectric and Negative Capacitance Devices (21 papers), Photonic Crystals and Applications (12 papers), CCD and CMOS Imaging Sensors (9 papers), Advanced Fiber Optic Sensors (6 papers) and Advanced Neural Network Applications (5 papers). The work is most often cited by research in Electrical and Electronic Engineering (2.0k citations), Electronic, Optical and Magnetic Materials (475 citations), Biomedical Engineering (918 citations), Cellular and Molecular Neuroscience (352 citations) and Hardware and Architecture (104 citations). Boxun Li has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Huazhong Yang, Yu Wang, Zhihui He, Hongjian Li, Shiping Zhan, Lixue Xia, Tianqi Tang, Hui Xu, Zhiquan Chen and Yiran Chen. Their work appears in journals such as Scientific Reports, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, Journal of Modern Optics, Plasmonics and Optics Express.
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.