Pengpeng Bai

2.3k total citations
88 papers, 1.8k citations indexed

About

Pengpeng Bai is a scholar working on Mechanics of Materials, Mechanical Engineering and Materials Chemistry. According to data from OpenAlex, Pengpeng Bai has authored 88 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Mechanics of Materials, 49 papers in Mechanical Engineering and 30 papers in Materials Chemistry. Recurrent topics in Pengpeng Bai's work include Lubricants and Their Additives (37 papers), Tribology and Wear Analysis (30 papers) and Adhesion, Friction, and Surface Interactions (22 papers). Pengpeng Bai is often cited by papers focused on Lubricants and Their Additives (37 papers), Tribology and Wear Analysis (30 papers) and Adhesion, Friction, and Surface Interactions (22 papers). Pengpeng Bai collaborates with scholars based in China, Australia and United States. Pengpeng Bai's co-authors include Shuqi Zheng, Changfeng Chen, Yu Tian, Xiangli Wen, Yonggang Meng, Bingwei Luo, Hui Zhao, Liran Ma, Shaowei Li and Wenpeng Jia and has published in prestigious journals such as Langmuir, ACS Applied Materials & Interfaces and The Journal of Physical Chemistry C.

In The Last Decade

Pengpeng Bai

83 papers receiving 1.8k citations

Peers

Pengpeng Bai
Comparison fields: 5 of 98
  • Materials Chemistry 971
  • Mechanical Engineering 742
  • Mechanics of Materials 532
  • Metals and Alloys 461
  • Electrical and Electronic Engineering 281
Replace A. Nazarov with:
A. Nazarov France
Xiankang Zhong China
Paul M. Natishan United States
T. Lepistö Finland
Zili Li China
Shengxi Li United States
Xiangli Zhong United Kingdom
Zhanpeng Lu China
R. Oltra France
A. Nazarov France View profile →
Citations per field, relative to Pengpeng Bai
Pengpeng Bai · 1×
Citations per year, relative to Pengpeng Bai
Pengpeng Bai · 1×

Countries citing papers authored by Pengpeng Bai

Since Specialization
Citations

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

Fields of papers citing papers by Pengpeng Bai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pengpeng Bai

This figure shows the co-authorship network connecting the top 25 collaborators of Pengpeng Bai. A scholar is included among the top collaborators of Pengpeng Bai 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 Pengpeng Bai. Pengpeng Bai 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
# Work Indexed citations
1 0
2 1
3 10
4 8
5 8
6 0
7 1
8 7
9 10
10 1
11 3
12 6
13 7
14 40
15 2
16 8
17 5
18 1
19 17
20 36

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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