Do Sun Bai

2.2k citations
66 papers · 1.7k · h-index 22

Impact in

Papers in

Do Sun Bai

61 papers receiving 1.5k citations

Peers

Do Sun Bai
Comparison fields: 5 of 67
  • Statistics, Probability and Uncertainty 1.1k
  • Statistics and Probability 1.1k
  • Safety, Risk, Reliability and Quality 843
  • Software 200
  • Management Science and Operations Research 362
Replace Harold Ascher with:
Harold Ascher United States
J.K. Vaurio Finland
Joel A. Nachlas United States
Suprasad V. Amari United States
Jen Tang United States
J.B. Fussell United States
F.A. van der Duyn Schouten Netherlands
Yizhong Ma China
Naoto Kaio Japan
C.H. Lie South Korea
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Citations per field
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Citations per year

Countries citing papers authored by Do Sun Bai

Since Specialization
Citations

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

Fields of papers citing papers by Do Sun Bai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Do Sun Bai. 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 Do Sun Bai. The network helps show where Do Sun Bai may publish in the future.

Co-authors

The 14 scholars most cited alongside Do Sun Bai, 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 Do Sun Bai Line = papers co-authored together Do Sun Bai links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1989199
2 1992129
3 199595
4 199894
5 199385
6 200183
7 200266
8 200261
9 200660
10 199360
11 199150
12 200146
13 200244
14 199341
15 199141
16 198638
17 199237
18 199037
19 200430
20 200328

About Do Sun Bai

Do Sun Bai is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty, Safety, Risk, Reliability and Quality, Management Science and Operations Research and Software, having authored 66 papers that have together received 1.7k indexed citations. Recurring topics across this work include Statistical Distribution Estimation and Applications (30 papers), Advanced Statistical Process Monitoring (24 papers), Reliability and Maintenance Optimization (21 papers), Probabilistic and Robust Engineering Design (15 papers), Optimal Experimental Design Methods (11 papers), Software Reliability and Analysis Research (9 papers), Statistical Methods and Bayesian Inference (8 papers) and Advanced Statistical Methods and Models (6 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (1.1k citations), Statistics and Probability (1.1k citations), Safety, Risk, Reliability and Quality (843 citations), Software (200 citations) and Management Science and Operations Research (362 citations). Do Sun Bai has collaborated with scholars based in South Korea and United States. Frequent co-authors include Sang Wook Chung, Myung Soo Kim, S.H. Lee, Won Young Yun, In Sil Choi, Chul Min Kim, Myoungsoo Jung, Myoung Soo Kim, Youngtak Oh and Joonho Seo. Their work appears in journals such as IEEE Transactions on Reliability, Reliability Engineering & System Safety, Naval Research Logistics (NRL), Engineering Optimization and Quality and Reliability Engineering International.

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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