In‐Jun Jeong

551 total citations
18 papers, 432 citations indexed

About

In‐Jun Jeong is a scholar working on Management Science and Operations Research, Computational Theory and Mathematics and Industrial and Manufacturing Engineering. According to data from OpenAlex, In‐Jun Jeong has authored 18 papers receiving a total of 432 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Management Science and Operations Research, 16 papers in Computational Theory and Mathematics and 11 papers in Industrial and Manufacturing Engineering. Recurrent topics in In‐Jun Jeong's work include Optimal Experimental Design Methods (17 papers), Advanced Multi-Objective Optimization Algorithms (16 papers) and Manufacturing Process and Optimization (11 papers). In‐Jun Jeong is often cited by papers focused on Optimal Experimental Design Methods (17 papers), Advanced Multi-Objective Optimization Algorithms (16 papers) and Manufacturing Process and Optimization (11 papers). In‐Jun Jeong collaborates with scholars based in South Korea, United States and China. In‐Jun Jeong's co-authors include Kwang-Jae Kim, Kwang‐Jae Kim, Dong‐Hee Lee, Dong‐Hee Lee, Soo Y. Chang, Dennis K. J. Lin, Yingdong He and Zhen He and has published in prestigious journals such as European Journal of Operational Research, Journal of the Operational Research Society and Computers & Operations Research.

In The Last Decade

In‐Jun Jeong

16 papers receiving 418 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
In‐Jun Jeong South Korea 8 194 143 101 90 67 18 432
Nuno Costa Portugal 11 163 0.8× 130 0.9× 109 1.1× 50 0.6× 150 2.2× 26 607
Sangmun Shin South Korea 14 244 1.3× 181 1.3× 164 1.6× 117 1.3× 48 0.7× 67 466
George J. Besseris Greece 13 140 0.7× 25 0.2× 113 1.1× 61 0.7× 79 1.2× 64 523
Ramón V. León United States 12 301 1.6× 109 0.8× 261 2.6× 149 1.7× 134 2.0× 37 759
Laura Ilzarbe Spain 10 107 0.6× 39 0.3× 63 0.6× 47 0.5× 74 1.1× 14 339
A. R. Manson United States 6 136 0.7× 84 0.6× 85 0.8× 36 0.4× 68 1.0× 12 393
E.N. Pistikopoulos United Kingdom 19 34 0.2× 115 0.8× 45 0.4× 87 1.0× 92 1.4× 28 1.1k
Pablo García‐Herreros United States 10 62 0.3× 64 0.4× 37 0.4× 67 0.7× 61 0.9× 13 555
Surajit Pal India 12 110 0.6× 38 0.3× 164 1.6× 47 0.5× 41 0.6× 37 377
Kwang‐Jae Kim South Korea 8 219 1.1× 34 0.2× 28 0.3× 52 0.6× 39 0.6× 10 408

Countries citing papers authored by In‐Jun Jeong

Since Specialization
Citations

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

Fields of papers citing papers by In‐Jun Jeong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by In‐Jun Jeong. 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 In‐Jun Jeong. The network helps show where In‐Jun Jeong may publish in the future.

Co-authorship network of co-authors of In‐Jun Jeong

This figure shows the co-authorship network connecting the top 25 collaborators of In‐Jun Jeong. A scholar is included among the top collaborators of In‐Jun Jeong 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 In‐Jun Jeong. In‐Jun Jeong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
Jeong, In‐Jun, et al.. (2024). A process capability function approach to multiple response surface optimization based on a posterior procedure. Quality Engineering. 36(4). 831–844.
2.
He, Yingdong, Zhen He, Kwang-Jae Kim, In‐Jun Jeong, & Dong‐Hee Lee. (2020). A Robust Interactive Desirability Function Approach for Multiple Response Optimization Considering Model Uncertainty. IEEE Transactions on Reliability. 70(1). 175–187. 15 indexed citations
3.
Jeong, In‐Jun & Dong‐Hee Lee. (2019). A pairwise comparison-based interactive procedure for the process capability approach to multiple-response surface optimization. Engineering Optimization. 52(10). 1743–1760. 3 indexed citations
4.
5.
Lee, Dong‐Hee, In‐Jun Jeong, & Kwang‐Jae Kim. (2018). A desirability function method for optimizing mean and variability of multiple responses using a posterior preference articulation approach. Quality and Reliability Engineering International. 34(3). 360–376. 84 indexed citations
6.
Jeong, In‐Jun. (2017). An Interactive Process Capability-Based Approach to Multi-Response Surface Optimization. Journal of the Korean society for quality management. 45(2). 191–208. 2 indexed citations
7.
Jeong, In‐Jun & Dong‐Hee Lee. (2017). Generating evenly distributed nondominated solutions in dual response surface optimization. Quality Technology & Quantitative Management. 16(1). 95–112. 4 indexed citations
8.
Lee, Dong‐Hee & In‐Jun Jeong. (2017). IP‐MRSO: An iterative posterior preference articulation method to multiple response surface optimization. Quality and Reliability Engineering International. 33(8). 1813–1826. 2 indexed citations
9.
Jeong, In‐Jun. (2015). A Weighted Mean Squared Error Approach Based on the Tchebycheff Metric in Multiresponse Optimization. Journal of the Korea Academia-Industrial cooperation Society. 16(1). 97–105. 1 indexed citations
10.
Lee, Dong‐Hee, In‐Jun Jeong, & Kwang-Jae Kim. (2013). Methods and Applications of Dual Response Surface Optimization : A Literature Review. Journal of Korean Institute of Industrial Engineers. 39(5). 342–350. 3 indexed citations
11.
Jeong, In‐Jun. (2011). Multiresponse Optimization: A Literature Review and Research Opportunities. Journal of the Korean society for quality management. 39(3). 377–390. 6 indexed citations
12.
Jeong, In‐Jun, et al.. (2010). How to treat strict preference information in multicriteria decision analysis. Journal of the Operational Research Society. 62(10). 1771–1783. 7 indexed citations
13.
Lee, Dong‐Hee, In‐Jun Jeong, & Kwang-Jae Kim. (2009). A posterior preference articulation approach to dual-response-surface optimization. IIE Transactions. 42(2). 161–171. 28 indexed citations
14.
Jeong, In‐Jun, Kwang‐Jae Kim, & Dennis K. J. Lin. (2009). Bayesian analysis for weighted mean‐squared error in dual response surface optimization. Quality and Reliability Engineering International. 26(5). 417–430. 18 indexed citations
15.
Jeong, In‐Jun & Kwang-Jae Kim. (2008). An interactive desirability function method to multiresponse optimization. European Journal of Operational Research. 195(2). 412–426. 182 indexed citations
16.
Jeong, In‐Jun, Kwang-Jae Kim, & Soo Y. Chang. (2005). Optimal Weighting of Bias and Variance in Dual Response Surface Optimization. Journal of Quality Technology. 37(3). 236–247. 35 indexed citations
17.
Jeong, In‐Jun & Kwang-Jae Kim. (2004). D-STEM: a modified step method with desirability function concept. Computers & Operations Research. 32(12). 3175–3190. 21 indexed citations
18.
Jeong, In‐Jun & Kwang-Jae Kim. (2003). Interactive Desirability Function Approach to Multi-Response Surface Optimization. International Journal of Reliability Quality and Safety Engineering. 10(2). 205–217. 20 indexed citations

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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Nuno Costa Breakdown of academic impact, for papers by Sangmun Shin Breakdown of academic impact, for papers by George J. Besseris Breakdown of academic impact, for papers by Ramón V. León Breakdown of academic impact, for papers by Laura Ilzarbe Breakdown of academic impact, for papers by A. R. Manson Breakdown of academic impact, for papers by E.N. Pistikopoulos Breakdown of academic impact, for papers by Pablo García‐Herreros Breakdown of academic impact, for papers by Surajit Pal Breakdown of academic impact, for papers by Kwang‐Jae Kim
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