Pan Li
Impact in
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- Advanced Photocatalysis Techniques
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- Effects of Radiation Exposure
Papers in
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- Advanced Neural Network Applications 5
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- Monoclonal and Polyclonal Antibodies Research 2
- Co-authors
- Xiao Ding (1 shared paper)Jianguo Zhu (1 shared paper)Liyuan Xiang (1 shared paper)Faming Zhang (1 shared paper)Xiong Chen (1 shared paper)Qianqian Li (1 shared paper)Bota Cui (1 shared paper)Saeed Chehreh Chelgani (2 shared papers)
- Journals
- Separation and Purification Technology (2 papers)Journal of Power Sources (2 papers)Scientific Reports (2 papers)Neurocomputing (1 paper)Eye (1 paper)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Pan Li
27 papers receiving 431 citations
Peers
Comparison fields: 5 of 79
- Renewable Energy, Sustainability and the Environment 76
- Radiology, Nuclear Medicine and Imaging 82
- Ophthalmology 26
- Industrial and Manufacturing Engineering 25
- Electrical and Electronic Engineering 137
Countries citing papers authored by Pan Li
This map shows the geographic impact of Pan 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 Pan Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pan Li more than expected).
Fields of papers citing papers by Pan Li
This network shows the impact of papers produced by Pan 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 Pan Li. The network helps show where Pan Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Pan 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 98 | |
| 2 | 2020 | 79 | |
| 3 | 2022 | 36 | |
| 4 | 2019 | 33 | |
| 5 | 2019 | 29 | |
| 6 | 2021 | 24 | |
| 7 | 2022 | 24 | |
| 8 | 2024 | 22 | |
| 9 | 2022 | 19 | |
| 10 | 2023 | 14 | |
| 11 | 2022 | 8 | |
| 12 | 2021 | 8 | |
| 13 | 2025 | 7 | |
| 14 | 2024 | 6 | |
| 15 | 2024 | 6 | |
| 16 | 2022 | 5 | |
| 17 | 2025 | 4 | |
| 18 | 2025 | 4 | |
| 19 | 2020 | 3 | |
| 20 | 2022 | 2 |
About Pan Li
Pan Li is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Electrical and Electronic Engineering, Molecular Biology and Industrial and Manufacturing Engineering, having authored 34 papers that have together received 440 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (5 papers), Advancements in Battery Materials (5 papers), Advanced Battery Materials and Technologies (4 papers), CRISPR and Genetic Engineering (3 papers), Advanced Photocatalysis Techniques (2 papers), Thermochemical Biomass Conversion Processes (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers) and Advanced biosensing and bioanalysis techniques (2 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (76 citations), Radiology, Nuclear Medicine and Imaging (82 citations), Ophthalmology (26 citations), Industrial and Manufacturing Engineering (25 citations) and Electrical and Electronic Engineering (137 citations). Pan Li has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Xiao Ding, Jianguo Zhu, Liyuan Xiang, Faming Zhang, Xiong Chen, Qianqian Li, Bota Cui, Saeed Chehreh Chelgani, Yuran Chen and Xiangning Bu. Their work appears in journals such as Separation and Purification Technology, Journal of Power Sources, Scientific Reports, Neurocomputing and Eye.
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.