Jun Cheng

11.1k total citations · 5 hit papers
379 papers, 9.0k citations indexed

About

Jun Cheng is a scholar working on Control and Systems Engineering, Computer Networks and Communications and Electrical and Electronic Engineering. According to data from OpenAlex, Jun Cheng has authored 379 papers receiving a total of 9.0k indexed citations (citations by other indexed papers that have themselves been cited), including 295 papers in Control and Systems Engineering, 235 papers in Computer Networks and Communications and 56 papers in Electrical and Electronic Engineering. Recurrent topics in Jun Cheng's work include Stability and Control of Uncertain Systems (245 papers), Neural Networks Stability and Synchronization (188 papers) and Distributed Control Multi-Agent Systems (58 papers). Jun Cheng is often cited by papers focused on Stability and Control of Uncertain Systems (245 papers), Neural Networks Stability and Synchronization (188 papers) and Distributed Control Multi-Agent Systems (58 papers). Jun Cheng collaborates with scholars based in China, South Korea and Saudi Arabia. Jun Cheng's co-authors include Ju H. Park, Jinde Cao, Shouming Zhong, Wenhai Qi, Kaibo Shi, Huaicheng Yan, Hong Zhu, Zheng‐Guang Wu, Hamid Reza Karimi and Dan Zhang and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Automatic Control and Scientific Reports.

In The Last Decade

Jun Cheng

334 papers receiving 8.9k citations

Hit Papers

Non-fragile memory filtering of T-S fuzzy delayed neural ... 2016 2026 2019 2022 2019 2016 2021 2023 2024 50 100 150 200

Peers

Jun Cheng
Comparison fields: 5 of 121
  • Control and Systems Engineering 6.2k
  • Computer Networks and Communications 5.5k
  • Electrical and Electronic Engineering 1.4k
  • Statistical and Nonlinear Physics 1.3k
  • Artificial Intelligence 1.2k
Replace Jianwei Xia with:
Jianwei Xia China
Zhanshan Wang China
Chen Peng China
Baoyong Zhang China
PooGyeon Park South Korea
Hongli Dong China
Shumin Fei China
Derui Ding China
Renquan Lu China
Magdi S. Mahmoud Saudi Arabia
Jianwei Xia China View profile →
Citations per field, relative to Jun Cheng
Jun Cheng · 1×
Citations per year, relative to Jun Cheng
Jun Cheng · 1×

Countries citing papers authored by Jun Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Jun Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Cheng

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Cheng. A scholar is included among the top collaborators of Jun 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 Jun Cheng. Jun 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
# Work Indexed citations
1 1
2 0
3 0
4 0
5 1
6 4
7 2
8 0
9 3
10 1
11 5
12 0
13 2
14 1
15 7
16 43
17 13
18 10
19 22
20 14

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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