Suk Joo Bae

3.1k citations
106 papers · 2.5k indexed · h-index 27

Suk Joo Bae

94 papers receiving 2.4k citations

Peers

Suk Joo Bae
Comparison fields: 5 of 97
  • Safety, Risk, Reliability and Quality 1.1k
  • Statistics, Probability and Uncertainty 516
  • Automotive Engineering 798
  • Statistics and Probability 504
  • Software 218
Replace Yu Zhao with:
Yu Zhao China
Xiaobing Ma China
Sheng‐Tsaing Tseng Taiwan
José Celaya United States
Bhaskar Saha United States
Tao Yuan United States
Alessandro Birolini Switzerland
Yunxia Chen China
Bernd Bertsche Germany
Tiedo Tinga Netherlands
Suk Joo Bae relative to Yu Zhao China Yu Zhao's profile →
Citations per field
00.5×3.6×
Yu Zhao · 1×
Citations per year

Countries citing papers authored by Suk Joo Bae

Since Specialization
Citations

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

Fields of papers citing papers by Suk Joo Bae

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Suk Joo Bae. 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 Suk Joo Bae. The network helps show where Suk Joo Bae may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20252
2 20251
3 20251
4 202415
5 20246
6 20244
7 20241
8 20241
9 20244
10 20230
11 202328
12 20231
13 202214
14 202110
15 20201
16
A Bayesian Approach for Predicting Functional Reliability of One-Shot Devices
20194
17 201719
18 200662
19
Failure-Time Estimation from Nonlinear Random-Coefficients Model
20060
20
Application of Accelerated Degradation Testing for VFD (Vacuum Fluorescent Display)
20050

About Suk Joo Bae

Suk Joo Bae is a scholar working on Statistics, Probability and Uncertainty, Safety, Risk, Reliability and Quality and Statistics and Probability, having authored 106 papers that have together received 2.5k indexed citations. Recurring topics across this work include Reliability and Maintenance Optimization (48 papers), Statistical Distribution Estimation and Applications (27 papers), Probabilistic and Robust Engineering Design (22 papers), Advanced Battery Technologies Research (19 papers), Advanced Statistical Process Monitoring (14 papers), Fault Detection and Control Systems (13 papers), Industrial Vision Systems and Defect Detection (11 papers) and Optimal Experimental Design Methods (10 papers). The work is most often cited by research in Safety, Risk, Reliability and Quality (1.1k citations), Statistics, Probability and Uncertainty (516 citations) and Automotive Engineering (798 citations). Suk Joo Bae has collaborated with scholars based in South Korea, United States and China. Frequent co-authors include Paul H. Kvam, Kwok‐Leung Tsui, Fangfang Yang, Way Kuo, Tao Yuan, Dong Wang, Yang Zhao, Qiang Zhou, Seong‐Joon Kim and Yincai Tang.

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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