Bong‐Jin Yum

1.5k total citations
62 papers, 1.2k citations indexed

About

Bong‐Jin Yum is a scholar working on Statistics and Probability, Management Science and Operations Research and Statistics, Probability and Uncertainty. According to data from OpenAlex, Bong‐Jin Yum has authored 62 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Statistics and Probability, 21 papers in Management Science and Operations Research and 20 papers in Statistics, Probability and Uncertainty. Recurrent topics in Bong‐Jin Yum's work include Statistical Distribution Estimation and Applications (22 papers), Optimal Experimental Design Methods (20 papers) and Probabilistic and Robust Engineering Design (14 papers). Bong‐Jin Yum is often cited by papers focused on Statistical Distribution Estimation and Applications (22 papers), Optimal Experimental Design Methods (20 papers) and Probabilistic and Robust Engineering Design (14 papers). Bong‐Jin Yum collaborates with scholars based in South Korea, United States and India. Bong‐Jin Yum's co-authors include H.S. Lim, Yong Soo Kim, Dong‐Hyun Kim, Min Gyu Kim, Junehwa Song, Young-Sang Kim, Jungwon Park, Myong K. Jeong, Sangjun Park and Seung‐Cheol Choi and has published in prestigious journals such as Expert Systems with Applications, Journal of the Operational Research Society and Reliability Engineering & System Safety.

In The Last Decade

Bong‐Jin Yum

59 papers receiving 1.1k citations

Peers

Bong‐Jin Yum
Comparison fields: 5 of 101
  • Statistics, Probability and Uncertainty 582
  • Statistics and Probability 517
  • Safety, Risk, Reliability and Quality 474
  • Management Science and Operations Research 246
  • Information Systems 174
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Citations per field, relative to Bong‐Jin Yum
Bong‐Jin Yum · 1×
Citations per year, relative to Bong‐Jin Yum
Bong‐Jin Yum · 1×

Countries citing papers authored by Bong‐Jin Yum

Since Specialization
Citations

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

Fields of papers citing papers by Bong‐Jin Yum

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bong‐Jin Yum. 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 Bong‐Jin Yum. The network helps show where Bong‐Jin Yum may publish in the future.

Co-authorship network of co-authors of Bong‐Jin Yum

This figure shows the co-authorship network connecting the top 25 collaborators of Bong‐Jin Yum. A scholar is included among the top collaborators of Bong‐Jin Yum based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Bong‐Jin Yum. Bong‐Jin Yum is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 5
2 11
3 13
4 5
5
Development of Virtual Metrology Models in Semiconductor Manufacturing Using Genetic Algorithm and Kernel Partial Least Squares Regression
1
6 144
7
Development of a Recommender System for E-Commerce Sites Using a Dimensionality Reduction Technique
2
8
Planning performance degradation tests - A review
6
9 66
10 2
11 8
12 9
13 31
14
Quality Engineering in Semiconductor Manufacturing with Emphasis on Patterning and Thin Film Forming Processes
1
15 9
16 11
17 22
18 24
19 1
20 2

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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2026