Panfeng Li

41 papers receiving 298 citations

Peers

Panfeng Li
Comparison fields: 5 of 82
  • Information Systems and Management 17
  • General Social Sciences 6
  • Management Science and Operations Research 21
  • Computer Vision and Pattern Recognition 30
  • Artificial Intelligence 43
Replace Javier Morales with:
Javier Morales Netherlands
Mohammad Salah Uddin Bangladesh
Panče Panov Slovenia
Jingfeng Yang China
Haitao Chen China
Karel Charvát Czechia
Myriam Lamolle France
Rafael Santos Brazil
Panfeng Li relative to Javier Morales Netherlands Javier Morales's profile →
Citations per field
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Javier Morales · 1×
Citations per year

Countries citing papers authored by Panfeng Li

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Panfeng Li Line = papers co-authored together Panfeng Li links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202438
2 202434
3 202429
4 201621
5 202320
6 201716
7 202416
8 202212
9 202410
10 20218
11 20258
12 20247
13 20137
14 20236
15 20226
16 20246
17 20226
18 20225
19 20245
20 20245

About Panfeng Li

Panfeng Li is a scholar working on Mechanics of Materials, Artificial Intelligence, Civil and Structural Engineering, Computer Vision and Pattern Recognition and Safety, Risk, Reliability and Quality, having authored 53 papers that have together received 310 indexed citations. Recurring topics across this work include Rock Mechanics and Modeling (4 papers), earthquake and tectonic studies (3 papers), Geology and Paleoclimatology Research (3 papers), Geological and Geophysical Studies (3 papers), Geotechnical Engineering and Analysis (3 papers), Geomechanics and Mining Engineering (3 papers), Methane Hydrates and Related Phenomena (3 papers) and Geological and Geochemical Analysis (3 papers). The work is most often cited by research in Information Systems and Management (17 citations), General Social Sciences (6 citations), Management Science and Operations Research (21 citations), Computer Vision and Pattern Recognition (30 citations) and Artificial Intelligence (43 citations). Panfeng Li has collaborated with scholars based in China, United States and Malaysia. Frequent co-authors include Mohamed Abouelenien, Rada Mihalcea, Yuanquan Chen, Wangsheng Gao, Xupeng Chen, Shiyao Zhang, Jixiao Cui, Xiaotong Wang, Xinhui Huang and Yan Yang. Their work appears in journals such as Ecosystem Health and Sustainability, Journal of Medicinal Chemistry, Scientific Reports, Current Issues in Molecular Biology and International Journal of Material Forming.

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.

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