Pengjie Li

506 citations
37 papers · 287 indexed · h-index 10
Topics
3D Shape Modeling and Analysis (5 papers)Parkinson's Disease Mechanisms and Treatments (4 papers)Botulinum Toxin and Related Neurological Disorders (3 papers)
Partner nations
ChinaMalaysiaHong Kong

In The Last Decade

Pengjie Li

34 papers receiving 283 citations

Peers

Pengjie Li
Comparison fields: 5 of 96
  • Biomedical Engineering 110
  • Computer Vision and Pattern Recognition 51
  • Molecular Biology 43
  • Aerospace Engineering 42
  • Computational Mechanics 24
Replace Xinyu Lu with:
Xinyu Lu China
Qingxiang Zhang China
Yuehua Li China
Hua Zhou China
Masashi Kobayashi Japan
Basari Basari Indonesia
Jiadong Wang China
Xiangwei Zhu China
Alan Wilson United Kingdom
Pengjie Li relative to Xinyu Lu China Xinyu Lu's profile →
Citations per field
00.5×
Xinyu Lu · 1×
Citations per year

Countries citing papers authored by Pengjie Li

Since Specialization
Citations

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

Fields of papers citing papers by Pengjie Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pengjie Li

This figure shows the co-authorship network connecting the top 25 collaborators of Pengjie Li. A scholar is included among the top collaborators of Pengjie Li based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Pengjie Li. Pengjie Li is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 0
3 3
4 10
5 1
6 2
7 8
8 9
9 1
10 1
11 28
12 5
13 19
14 4
15 5
16 5
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20
Ghrelin protects human umbilical vein endothelial cells against advanced glycation end products-induced apoptosis via NO/cGMP signaling.
9

About Pengjie Li

Pengjie Li is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Clinical Biochemistry, having authored 37 papers that have together received 287 indexed citations. Recurring topics across this work include 3D Shape Modeling and Analysis (5 papers), Parkinson's Disease Mechanisms and Treatments (4 papers) and Botulinum Toxin and Related Neurological Disorders (3 papers). The work is most often cited by research in Clinical Biochemistry (18 citations), Computer Vision and Pattern Recognition (51 citations) and Biomedical Engineering (110 citations). Pengjie Li has collaborated with scholars based in China, Malaysia and Hong Kong. Frequent co-authors include Bi‐Feng Liu, Xuemei Zeng, Rui Zhong, Ying Weng, Jianmin Jiang, Shuangqian Yan, Huadóng Ma, Anlong Ming, Peng Chen and Shunji Li. Their work appears in journals such as Analytical Chemistry, Scientific Reports and Chemical Engineering Journal.

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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