Jun Yang

3.2k total citations
135 papers, 2.5k citations indexed

About

Jun Yang is a scholar working on Safety, Risk, Reliability and Quality, Statistics, Probability and Uncertainty and Statistics and Probability. According to data from OpenAlex, Jun Yang has authored 135 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 67 papers in Safety, Risk, Reliability and Quality, 56 papers in Statistics, Probability and Uncertainty and 30 papers in Statistics and Probability. Recurrent topics in Jun Yang's work include Reliability and Maintenance Optimization (67 papers), Statistical Distribution Estimation and Applications (23 papers) and Software Reliability and Analysis Research (23 papers). Jun Yang is often cited by papers focused on Reliability and Maintenance Optimization (67 papers), Statistical Distribution Estimation and Applications (23 papers) and Software Reliability and Analysis Research (23 papers). Jun Yang collaborates with scholars based in China, Hong Kong and United States. Jun Yang's co-authors include Songhua Hao, Qingqing Zhai, Lei Li, Rui Peng, Yu Zhao, Liudong Xing, Cheng Chen, Christophe Bérenguer, Min Xie and Xiaobing Ma and has published in prestigious journals such as Applied Energy, European Journal of Operational Research and IEEE Access.

In The Last Decade

Jun Yang

129 papers receiving 2.4k citations

Peers

Jun Yang
Comparison fields: 5 of 127
  • Safety, Risk, Reliability and Quality 1.4k
  • Statistics, Probability and Uncertainty 1.0k
  • Software 588
  • Statistics and Probability 424
  • Control and Systems Engineering 394
Replace Anne Barros with:
Anne Barros France
Hongyan Dui China
Xian Zhao China
Jinhua Mi China
Hong‐Zhong Huang China
Anatoly Lisnianski Israel
Bo Guo China
Ershun Pan China
Viliam Makiš Canada
Christophe Bérenguer France
Anne Barros France View profile →
Citations per field, relative to Jun Yang
Jun Yang · 1×
Citations per year, relative to Jun Yang
Jun Yang · 1×

Countries citing papers authored by Jun Yang

Since Specialization
Citations

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

Fields of papers citing papers by Jun Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Yang. A scholar is included among the top collaborators of Jun Yang 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 Yang. Jun Yang 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
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2 1
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5 3
6 1
7 29
8 13
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10 17
11 20
12 5
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14 20
15 12
16 15
17 14
18 25
19 16
20 1

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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