Yusha Li
Impact in
- Biophysics top 1%
- Advanced Fluorescence Microscopy Techniques
- Cell Image Analysis Techniques
- Biomedical Engineering top 10%
- Optical Coherence Tomography Applications
- Photoacoustic and Ultrasonic Imaging
Papers in
- Biophysics 12
- Advanced Fluorescence Microscopy Techniques 12
- Cell Image Analysis Techniques 6
- Co-authors
- Tingting Yu (21 shared papers)Dan Yan Zhu (21 shared papers)Peng Wan (10 shared papers)Jianyi Xu (13 shared papers)Jingtan Zhu (12 shared papers)Yilin Ma (5 shared papers)Qingming Luo (4 shared papers)Yisong Qi (5 shared papers)
In The Last Decade
Yusha Li
53 papers receiving 906 citations
Peers
Comparison fields: 5 of 116
- Biophysics 344
- Biomedical Engineering 279
- Structural Biology 9
- Cellular and Molecular Neuroscience 107
- Radiology, Nuclear Medicine and Imaging 93
Countries citing papers authored by Yusha Li
This map shows the geographic impact of Yusha 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 Yusha Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yusha Li more than expected).
Fields of papers citing papers by Yusha Li
This network shows the impact of papers produced by Yusha 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 Yusha Li. The network helps show where Yusha Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Yusha 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
Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 200 | |
| 2 | 2018 | 81 | |
| 3 | 2020 | 81 | |
| 4 | 2018 | 65 | |
| 5 | 2018 | 53 | |
| 6 | 2019 | 44 | |
| 7 | 2021 | 39 | |
| 8 | 2018 | 36 | |
| 9 | 2018 | 36 | |
| 10 | 2020 | 28 | |
| 11 | 2019 | 22 | |
| 12 | 2017 | 21 | |
| 13 | 2021 | 19 | |
| 14 | 2019 | 17 | |
| 15 | 2022 | 15 | |
| 16 | 2020 | 13 | |
| 17 | MOLECULAR RECOGNITION STUDY ON SUPRAMOLECULAR SYSTEM. (III): CHIRAL RECOGNITION OF AROMATIC AMINO ACIDS BY BINUCLEAR CU(II) COMPLEXES WITH CYCLODEXTRI NS | 1996 | 11 |
| 18 | 2021 | 11 | |
| 19 | 2014 | 11 | |
| 20 | 2021 | 10 |
About Yusha Li
Yusha Li is a scholar working on Biophysics, Computer Graphics and Computer-Aided Design, Materials Chemistry, Biomedical Engineering and Metals and Alloys, having authored 58 papers that have together received 921 indexed citations. Recurring topics across this work include Advanced Fluorescence Microscopy Techniques (12 papers), Fusion materials and technologies (8 papers), Nuclear Materials and Properties (7 papers), Cell Image Analysis Techniques (6 papers), Single-cell and spatial transcriptomics (4 papers), Advanced Numerical Analysis Techniques (4 papers), Photoacoustic and Ultrasonic Imaging (4 papers) and Hydrogen embrittlement and corrosion behaviors in metals (3 papers). The work is most often cited by research in Biophysics (344 citations), Biomedical Engineering (279 citations), Structural Biology (9 citations), Cellular and Molecular Neuroscience (107 citations) and Radiology, Nuclear Medicine and Imaging (93 citations). Yusha Li has collaborated with scholars based in China, Singapore and Germany. Frequent co-authors include Tingting Yu, Dan Yan Zhu, Peng Wan, Jianyi Xu, Jingtan Zhu, Yilin Ma, Qingming Luo, Yisong Qi, Hui Gong and Wenyu Chen. Their work appears in journals such as Ceramics International, Neurophotonics, Biomedical Optics Express, Advanced Science and Surface and Coatings Technology.
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.