Yan Ran

78 papers receiving 1.2k citations

Peers

Yan Ran
Comparison fields: 5 of 78
  • Statistics, Probability and Uncertainty 315
  • Safety, Risk, Reliability and Quality 282
  • Industrial and Manufacturing Engineering 320
  • Management Science and Operations Research 349
  • Medical Laboratory Technology 27
Replace Genbao Zhang with:
Genbao Zhang China
V.N.A. Naikan India
Rob Basten Netherlands
V. Ebrahimipour Iran
Peter K. Chemweno Belgium
John B. Bowles United States
Bernd Bertsche Germany
Jezdimir Knežević United Kingdom
Benoît Iung France
Ning‐Cong Xiao China
Yan Ran relative to Genbao Zhang China Genbao Zhang's profile →
Citations per field
00.5×1.5×
Genbao Zhang · 1×
Citations per year

Countries citing papers authored by Yan Ran

Since Specialization
Citations

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

Fields of papers citing papers by Yan Ran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 82 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021107
2 202198
3 201967
4 202161
5 202151
6 201948
7 202038
8 202038
9 201934
10 201934
11 201933
12 202033
13 202131
14 201630
15 202126
16 201923
17 202121
18 202120
19 201820
20 201920

About Yan Ran

Yan Ran is a scholar working on Industrial and Manufacturing Engineering, Statistics, Probability and Uncertainty, Safety, Risk, Reliability and Quality, Management Science and Operations Research and Management of Technology and Innovation, having authored 82 papers that have together received 1.3k indexed citations. Recurring topics across this work include Manufacturing Process and Optimization (29 papers), Advanced machining processes and optimization (19 papers), Reliability and Maintenance Optimization (17 papers), Risk and Safety Analysis (16 papers), Multi-Criteria Decision Making (15 papers), Advanced Measurement and Metrology Techniques (9 papers), Quality Function Deployment in Product Design (9 papers) and Software Reliability and Analysis Research (8 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (315 citations), Safety, Risk, Reliability and Quality (282 citations), Industrial and Manufacturing Engineering (320 citations), Management Science and Operations Research (349 citations) and Medical Laboratory Technology (27 citations). Yan Ran has collaborated with scholars based in China, United Kingdom and Hong Kong. Frequent co-authors include Genbao Zhang, Zhichao Wang, Yifan Chen, Hui Yu, Xin Min Yang, Yulong Li, Xiaogang Zhang, Guangquan Huang, Liming Xiao and Xinglong Li. Their work appears in journals such as IEEE Access, The International Journal of Advanced Manufacturing Technology, Quality and Reliability Engineering International, Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science and Engineering Applications of Artificial Intelligence.

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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