Peiping Li

26 papers receiving 449 citations

Peers

Peiping Li
Comparison fields: 5 of 86
  • Hepatology 66
  • Cancer Research 80
  • Safety, Risk, Reliability and Quality 53
  • Statistics, Probability and Uncertainty 36
  • Oncology 84
Replace Bo Liang with:
Bo Liang China
Weiguo Cao China
Ningning Zhao China
Hongdong Huang China
Mingqing Tang China
Linhan Zhang China
Hong-Sik Kim South Korea
Yuncong Zhang China
Alessandra Oggero Italy
Yiren Wang China
Peiping Li relative to Bo Liang China Bo Liang's profile →
Citations per field
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Bo Liang · 1×
Citations per year

Countries citing papers authored by Peiping Li

Since Specialization
Citations

This map shows the geographic impact of Peiping 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 Peiping Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peiping Li more than expected).

Fields of papers citing papers by Peiping Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peiping 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 Peiping Li. The network helps show where Peiping Li may publish in the future.

Co-authors

The 25 scholars most cited alongside Peiping 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 Peiping Li Line = papers co-authored together Peiping Li links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201979
2 201863
3 202248
4 201828
5 202225
6 202025
7 202325
8 202020
9 202317
10 201917
11 201917
12 202117
13 202213
14 202111
15 20238
16 20217
17 20236
18 20245
19 20225
20 20254

About Peiping Li

Peiping Li is a scholar working on Civil and Structural Engineering, Hepatology, Statistics, Probability and Uncertainty, Safety, Risk, Reliability and Quality and Cancer Research, having authored 30 papers that have together received 450 indexed citations. Recurring topics across this work include Probabilistic and Robust Engineering Design (5 papers), Geotechnical Engineering and Analysis (4 papers), Liver Disease Diagnosis and Treatment (3 papers), Hepatocellular Carcinoma Treatment and Prognosis (3 papers), Cancer, Hypoxia, and Metabolism (3 papers), Infrastructure Maintenance and Monitoring (2 papers), Liver physiology and pathology (2 papers) and Sparse and Compressive Sensing Techniques (2 papers). The work is most often cited by research in Hepatology (66 citations), Cancer Research (80 citations), Safety, Risk, Reliability and Quality (53 citations), Statistics, Probability and Uncertainty (36 citations) and Oncology (84 citations). Peiping Li has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Yu Wang, Chaonong Cai, Baojia Zou, Xialei Liu, Baimeng Zhang, Yihang Gong, Jianxu Chen, Lei Ding, Jiafan Chen and Shan Xing. Their work appears in journals such as Annals of Translational Medicine, Cancer Management and Research, Computers and Geotechnics, European Journal of Nuclear Medicine and Molecular Imaging and Stochastic Environmental Research and Risk Assessment.

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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