Pengpeng Cheng

1.2k citations
33 papers · 1.0k indexed · h-index 15
Topics
Perovskite Materials and Applications (16 papers)Advanced Memory and Neural Computing (9 papers)Conducting polymers and applications (8 papers)
Partner nations
China

In The Last Decade

Pengpeng Cheng

31 papers receiving 990 citations

Peers

Pengpeng Cheng
Comparison fields: 5 of 50
  • Electrical and Electronic Engineering 754
  • Renewable Energy, Sustainability and the Environment 377
  • Electronic, Optical and Magnetic Materials 366
  • Materials Chemistry 282
  • Polymers and Plastics 203
Replace Pranav K. Katkar with:
Pranav K. Katkar South Korea
Madhupriya Samanta India
Liqian Wu China
Junlin Huang China
T. Kavinkumar India
Tejasvinee S. Bhat India
Dandan Han China
Yuchen Wei China
Yann Kervella France
Suraj A. Khalate India
Pengpeng Cheng relative to Pranav K. Katkar South Korea Pranav K. Katkar's profile →
Citations per field
00.5×10×15×17.5×
Pranav K. Katkar · 1×
Citations per year

Countries citing papers authored by Pengpeng Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Pengpeng Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pengpeng Cheng

This figure shows the co-authorship network connecting the top 25 collaborators of Pengpeng Cheng. A scholar is included among the top collaborators of Pengpeng Cheng 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 Cheng. Pengpeng Cheng 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 2
3 3
4 20
5 11
6 0
7 1
8 2
9 3
10 12
11 20
12 2
13 26
14 49
15 9
16 31
17 96
18 252
19 192
20 79

About Pengpeng Cheng

Pengpeng Cheng is a scholar working on Polymers and Plastics, Electrical and Electronic Engineering and Electronic, Optical and Magnetic Materials, having authored 33 papers that have together received 1.0k indexed citations. Recurring topics across this work include Perovskite Materials and Applications (16 papers), Advanced Memory and Neural Computing (9 papers) and Conducting polymers and applications (8 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (377 citations), Electronic, Optical and Magnetic Materials (366 citations) and Polymers and Plastics (203 citations). Pengpeng Cheng has collaborated with scholars based in China. Frequent co-authors include Ruchun Li, Dingsheng Yuan, Shuoshuo Li, Jingwei Li, Weiming Xu, Dan Zhou, Jiaxian Luo, Xiaofeng Shao, Wendan Yu and Dingsheng Yuan. Their work appears in journals such as Applied Physics Letters, Journal of Power Sources and Scientific Reports.

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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