Jun Shang

1.8k citations
60 papers · 1.4k · h-index 23

Impact in

Papers in

Jun Shang

56 papers receiving 1.4k citations

Peers

Jun Shang
Comparison fields: 5 of 40
  • Control and Systems Engineering 1.3k
  • Safety, Risk, Reliability and Quality 50
  • Computer Graphics and Computer-Aided Design 11
  • Computer Networks and Communications 46
  • Artificial Intelligence 68
Replace Linlin Kou with:
Linlin Kou China
Guoxi Sun China
Pin Lim Singapore
Hui Yi China
Lianchuan Ma China
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Citations per field
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Citations per year

Countries citing papers authored by Jun Shang

Since Specialization
Citations

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

Fields of papers citing papers by Jun Shang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jun Shang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jun Shang Line = papers co-authored together Jun Shang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017145
2 2017126
3 201773
4 202169
5 202168
6 202060
7 202054
8 201646
9 201744
10 201743
11 201743
12 201943
13 202138
14 202138
15 202136
16 202034
17 202032
18 201831
19 201828
20 201927

About Jun Shang

Jun Shang is a scholar working on Control and Systems Engineering, Safety, Risk, Reliability and Quality, Computer Vision and Pattern Recognition, Computational Theory and Mathematics and Computational Mechanics, having authored 60 papers that have together received 1.4k indexed citations. Recurring topics across this work include Fault Detection and Control Systems (30 papers), Smart Grid Security and Resilience (21 papers), Stability and Control of Uncertain Systems (5 papers), Machine Fault Diagnosis Techniques (3 papers), Reliability and Maintenance Optimization (3 papers), Face and Expression Recognition (1 paper), Visual Attention and Saliency Detection (1 paper) and Wireless Communication Security Techniques (1 paper). The work is most often cited by research in Control and Systems Engineering (1.3k citations), Safety, Risk, Reliability and Quality (50 citations), Computer Graphics and Computer-Aided Design (11 citations), Computer Networks and Communications (46 citations) and Artificial Intelligence (68 citations). Jun Shang has collaborated with scholars based in China and Canada. Frequent co-authors include Tongwen Chen, Maoyin Chen, Donghua Zhou, Hongquan Ji, Xiao Hui He, Hanwen Zhang, Hao Yu, Chunjie Yang, Jing Zhou and Youxian Sun. Their work appears in journals such as Automatica, IEEE Transactions on Automatic Control, IEEE Transactions on Control of Network Systems, Control Engineering Practice and Journal of Process Control.

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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