Jun Yang

3.4k citations
137 papers · 2.6k · h-index 31

Impact in

Papers in

Jun Yang

131 papers receiving 2.5k citations

Peers

Jun Yang
Comparison fields: 5 of 120
  • Safety, Risk, Reliability and Quality 1.4k
  • Software 598
  • Statistics, Probability and Uncertainty 1.1k
  • Statistics and Probability 431
  • Automotive Engineering 279
Replace Hong‐Zhong Huang with:
Hong‐Zhong Huang China
Hongyan Dui China
Anatoly Lisnianski Israel
Weiwen Peng China
Bo Guo China
Jinhua Mi China
Arnljot Høyland United States
Luca Podofillini Switzerland
Viliam Makiš Canada
Nagi Gebraeel United States
Jun Yang relative to Hong‐Zhong Huang China Hong‐Zhong Huang's profile →
Citations per field
00.5×1.6×
Hong‐Zhong Huang · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Jun Yang, 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 Yang Line = papers co-authored together Jun Yang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 137 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017113
2 2013103
3 201892
4 201687
5 201885
6 201474
7 202271
8 201966
9 202063
10 201758
11 201547
12 202145
13 201444
14 201443
15 201843
16 201442
17 202342
18 202041
19 201540
20 201338

About Jun Yang

Jun Yang is a scholar working on Safety, Risk, Reliability and Quality, Statistics, Probability and Uncertainty, Statistics and Probability, Software and Control and Systems Engineering, having authored 137 papers that have together received 2.6k indexed citations. Recurring topics across this work include Reliability and Maintenance Optimization (68 papers), Statistical Distribution Estimation and Applications (23 papers), Software Reliability and Analysis Research (23 papers), Probabilistic and Robust Engineering Design (21 papers), Advanced Statistical Process Monitoring (20 papers), Risk and Safety Analysis (18 papers), Advanced Battery Technologies Research (16 papers) and Scientific Measurement and Uncertainty Evaluation (13 papers). The work is most often cited by research in Safety, Risk, Reliability and Quality (1.4k citations), Software (598 citations), Statistics, Probability and Uncertainty (1.1k citations), Statistics and Probability (431 citations) and Automotive Engineering (279 citations). Jun Yang has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Songhua Hao, Qingqing Zhai, Lei Li, Rui Peng, Yu Zhao, Liudong Xing, Cheng Chen, Christophe Bérenguer, Min Xie and Xiaobing Ma. Their work appears in journals such as Reliability Engineering & System Safety, Quality and Reliability Engineering International, IEEE Transactions on Reliability, Computers & Industrial Engineering and Applied Mathematical Modelling.

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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