Junjie Peng

615 total citations
27 papers, 356 citations indexed

About

Junjie Peng is a scholar working on Artificial Intelligence, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Junjie Peng has authored 27 papers receiving a total of 356 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 10 papers in Computer Networks and Communications and 8 papers in Information Systems. Recurrent topics in Junjie Peng's work include Cloud Computing and Resource Management (7 papers), IoT and Edge/Fog Computing (5 papers) and Natural Language Processing Techniques (5 papers). Junjie Peng is often cited by papers focused on Cloud Computing and Resource Management (7 papers), IoT and Edge/Fog Computing (5 papers) and Natural Language Processing Techniques (5 papers). Junjie Peng collaborates with scholars based in China, Japan and United States. Junjie Peng's co-authors include Qing Li, Wu Zhang, Xuejun Zhang, Bofeng Zhang, Lei Zhou, Wenqiang Zhang, Ting Wu, Huiran Zhang, Tong Zhao and Xiaolan Xie and has published in prestigious journals such as Macromolecules, Journal of Materials Chemistry A and Expert Systems with Applications.

In The Last Decade

Junjie Peng

25 papers receiving 326 citations

Peers

Junjie Peng
Comparison fields: 5 of 63
  • Information Systems 162
  • Computer Networks and Communications 141
  • Artificial Intelligence 140
  • Experimental and Cognitive Psychology 44
  • Computer Vision and Pattern Recognition 35
Replace Masao Ohira with:
Masao Ohira Japan
William Cheung United States
Niloy Mukherjee United States
M. L. Dhore India
Isredza Rahmi A. Hamid Malaysia
Anas Alsobeh Jordan
Chu-Sing Yang Taiwan
Sattam Almatarneh Jordan
Masao Ohira Japan View profile →
Citations per field, relative to Junjie Peng
Junjie Peng · 1×
Citations per year, relative to Junjie Peng
Junjie Peng · 1×

Countries citing papers authored by Junjie Peng

Since Specialization
Citations

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

Fields of papers citing papers by Junjie Peng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junjie Peng

This figure shows the co-authorship network connecting the top 25 collaborators of Junjie Peng. A scholar is included among the top collaborators of Junjie 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 Junjie Peng. Junjie 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 2
3 1
4 0
5 2
6 2
7 28
8 4
9 1
10 3
11 78
12 1
13 5
14 5
15 1
16 3
17 2
18 1
19 2
20 157

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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