Chun Su

129 papers receiving 2.3k citations

Peers

Chun Su
Comparison fields: 5 of 131
  • Safety, Risk, Reliability and Quality 518
  • Management Science and Operations Research 508
  • Software 153
  • Statistics and Probability 302
  • Renewable Energy, Sustainability and the Environment 422
Replace Dong Ho Park with:
Dong Ho Park South Korea
Ann‐Brith Strömberg Sweden
George J. Anders Canada
Sam C. Saunders United States
Warren D. Seider United States
Wenjuan Zhang China
Robert G. Easterling United States
Hisashi Yamamoto Japan
Ernest J. Henley United States
P. D. T. O’Connor United States
Chun Su relative to Dong Ho Park South Korea Dong Ho Park's profile →
Citations per field
00.5×10×16.2×
Dong Ho Park · 1×
Citations per year

Countries citing papers authored by Chun Su

Since Specialization
Citations

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

Fields of papers citing papers by Chun Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 142 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004407
2 2014100
3 201692
4 199791
5 199983
6 200581
7 199874
8 202367
9 201062
10 201752
11 201652
12 201651
13 199951
14 201250
15 202050
16 199741
17 201741
18 198540
19 201537
20 201333

About Chun Su

Chun Su is a scholar working on Safety, Risk, Reliability and Quality, Management Science and Operations Research, Mathematical Physics, Statistics and Probability and Control and Systems Engineering, having authored 142 papers that have together received 2.4k indexed citations. Recurring topics across this work include Reliability and Maintenance Optimization (39 papers), Probability and Risk Models (33 papers), Stochastic processes and statistical mechanics (16 papers), Risk and Safety Analysis (13 papers), Machine Fault Diagnosis Techniques (12 papers), Software Reliability and Analysis Research (12 papers), Manufacturing Process and Optimization (12 papers) and Statistical Distribution Estimation and Applications (10 papers). The work is most often cited by research in Safety, Risk, Reliability and Quality (518 citations), Management Science and Operations Research (508 citations), Software (153 citations), Statistics and Probability (302 citations) and Renewable Energy, Sustainability and the Environment (422 citations). Chun Su has collaborated with scholars based in China, Taiwan and United States. Frequent co-authors include Xiaolin Wang, Jianping Dou, Qi-Man Shao, J.C. Lin, Han‐Ying Liang, Yuebao Wang, Lincheng Zhao, Jun Li, Yu Chen and Chen Luo. Their work appears in journals such as Proceedings of the Institution of Mechanical Engineers Part O Journal of Risk and Reliability, International Journal of Production Research, Quality and Reliability Engineering International, The International Journal of Advanced Manufacturing Technology and Reliability Engineering & System Safety.

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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