Panfeng Li
Impact in
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- Big Data Technologies and Applications
- Technology Adoption and User Behaviour
- General Social Sciences top 10%
Papers in
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- Rock Mechanics and Modeling 4
- Geomechanics and Mining Engineering 3
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- Geotechnical Engineering and Analysis 3
- Co-authors
- Mohamed Abouelenien (1 shared paper)Rada F. Mihalcea (1 shared paper)Wangsheng Gao (5 shared papers)Yuanquan Chen (5 shared papers)Xinhui Huang (4 shared papers)Xupeng Chen (2 shared papers)Shiyao Zhang (2 shared papers)Jixiao Cui (3 shared papers)
- Journals
- Ecosystem Health and Sustainability (2 papers)Scientific Reports (2 papers)Journal of Medicinal Chemistry (2 papers)Geophysical Prospecting (1 paper)Blood (1 paper)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Panfeng Li
47 papers receiving 379 citations
Peers
Comparison fields: 5 of 90
- Information Systems and Management 23
- General Social Sciences 7
- Computer Vision and Pattern Recognition 41
- Management Science and Operations Research 21
- Artificial Intelligence 52
Countries citing papers authored by Panfeng Li
This map shows the geographic impact of Panfeng 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 Panfeng Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Panfeng Li more than expected).
Fields of papers citing papers by Panfeng Li
This network shows the impact of papers produced by Panfeng 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 Panfeng Li. The network helps show where Panfeng Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Panfeng 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 57 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 41 | |
| 2 | 2024 | 39 | |
| 3 | 2024 | 33 | |
| 4 | 2023 | 26 | |
| 5 | 2016 | 24 | |
| 6 | 2024 | 24 | |
| 7 | 2024 | 18 | |
| 8 | 2024 | 18 | |
| 9 | 2017 | 16 | |
| 10 | 2022 | 13 | |
| 11 | 2024 | 11 | |
| 12 | 2024 | 10 | |
| 13 | 2021 | 9 | |
| 14 | 2025 | 9 | |
| 15 | 2013 | 9 | |
| 16 | 2023 | 8 | |
| 17 | 2024 | 7 | |
| 18 | 2022 | 6 | |
| 19 | 2022 | 6 | |
| 20 | 2024 | 5 |
About Panfeng Li
Panfeng Li is a scholar working on Mechanics of Materials, Safety, Risk, Reliability and Quality, Civil and Structural Engineering, Computer Vision and Pattern Recognition and Geology, having authored 57 papers that have together received 391 indexed citations. Recurring topics across this work include Rock Mechanics and Modeling (4 papers), Geotechnical Engineering and Analysis (3 papers), Geomechanics and Mining Engineering (3 papers), Geological and Geophysical Studies (3 papers), earthquake and tectonic studies (3 papers), Geological and Geochemical Analysis (3 papers), Geology and Paleoclimatology Research (3 papers) and Methane Hydrates and Related Phenomena (3 papers). The work is most often cited by research in Information Systems and Management (23 citations), General Social Sciences (7 citations), Computer Vision and Pattern Recognition (41 citations), Management Science and Operations Research (21 citations) and Artificial Intelligence (52 citations). Panfeng Li has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Mohamed Abouelenien, Rada F. Mihalcea, Wangsheng Gao, Yuanquan Chen, Xinhui Huang, Xupeng Chen, Shiyao Zhang, Jixiao Cui, Yuting Zheng and Yan Yang. Their work appears in journals such as Ecosystem Health and Sustainability, Scientific Reports, Journal of Medicinal Chemistry, Geophysical Prospecting and Blood.
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.