Jie Peng

539 total citations
39 papers, 389 citations indexed

About

Jie Peng is a scholar working on Electrical and Electronic Engineering, Materials Chemistry and Artificial Intelligence. According to data from OpenAlex, Jie Peng has authored 39 papers receiving a total of 389 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Electrical and Electronic Engineering, 13 papers in Materials Chemistry and 9 papers in Artificial Intelligence. Recurrent topics in Jie Peng's work include Advanced Memory and Neural Computing (6 papers), Carbon Nanotubes in Composites (6 papers) and Graphene research and applications (5 papers). Jie Peng is often cited by papers focused on Advanced Memory and Neural Computing (6 papers), Carbon Nanotubes in Composites (6 papers) and Graphene research and applications (5 papers). Jie Peng collaborates with scholars based in China, Germany and United Kingdom. Jie Peng's co-authors include Qing Ling, Gabriel Bester, Ningsheng Xu, Zhibing Li, Shaozhi Deng, Guihua Chen, Weiliang Wang, Xiaoqiang Yang, Weiyu Li and Shanshan Wang and has published in prestigious journals such as Journal of Applied Physics, Physical Review B and Geophysical Research Letters.

In The Last Decade

Jie Peng

36 papers receiving 381 citations

Peers

Jie Peng
Comparison fields: 5 of 74
  • Materials Chemistry 137
  • Electrical and Electronic Engineering 110
  • Atomic and Molecular Physics, and Optics 81
  • Artificial Intelligence 61
  • Atmospheric Science 54
Replace Susumu Abe with:
Susumu Abe Japan
A. Poncet France
Stephen Bocquet Australia
Maria Bergomi Italy
V. I. Belousov Russia
Yan Zhan China
Luiza Angheluta Norway
Szymon Migacz Poland
Xiaohui He China
Guofeng Zhang China
Susumu Abe Japan View profile →
Citations per field, relative to Jie Peng
Jie Peng · 1×
Citations per year, relative to Jie Peng
Jie Peng · 1×

Countries citing papers authored by Jie Peng

Since Specialization
Citations

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

Fields of papers citing papers by Jie Peng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jie Peng

This figure shows the co-authorship network connecting the top 25 collaborators of Jie Peng. A scholar is included among the top collaborators of Jie Peng 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 Jie Peng. Jie Peng 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 0
3 0
4 8
5 2
6 1
7 1
8 2
9 6
10 4
11 25
12 2
13 7
14 2
15
Heterogeneous confinement in lateral quantum dot molecules
1
16 13
17 22
18 29
19 15
20 24

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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