Jeonghan Ko

1.4k total citations · 1 hit paper
30 papers, 1.1k citations indexed

About

Jeonghan Ko is a scholar working on Industrial and Manufacturing Engineering, Management of Technology and Innovation and Automotive Engineering. According to data from OpenAlex, Jeonghan Ko has authored 30 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Industrial and Manufacturing Engineering, 10 papers in Management of Technology and Innovation and 7 papers in Automotive Engineering. Recurrent topics in Jeonghan Ko's work include Assembly Line Balancing Optimization (12 papers), Product Development and Customization (10 papers) and Manufacturing Process and Optimization (10 papers). Jeonghan Ko is often cited by papers focused on Assembly Line Balancing Optimization (12 papers), Product Development and Customization (10 papers) and Manufacturing Process and Optimization (10 papers). Jeonghan Ko collaborates with scholars based in United States, South Korea and China. Jeonghan Ko's co-authors include S. Jack Hu, Yoram Koren, Terje K. Lien, N. Nasr, H.A. ElMaraghy, Shaolong Hu, M. Shpitalni, Helmut Bley, George Chryssolouris and Myung‐Chul Jung and has published in prestigious journals such as Journal of Cleaner Production, Expert Systems with Applications and Energy Conversion and Management.

In The Last Decade

Jeonghan Ko

29 papers receiving 1.0k citations

Hit Papers

Assembly system design and operations for product variety 2011 2026 2016 2021 2011 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Assembly system design and operations for product variety
    2011 383 citations Jeonghan Ko et al. CIRP Annals profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jeonghan Ko United States 16 647 296 218 91 89 30 1.1k
Julien Le Duigou France 17 382 0.6× 159 0.5× 181 0.8× 77 0.8× 42 0.5× 54 691
Jiangwei Chu China 17 345 0.5× 111 0.4× 120 0.6× 195 2.1× 114 1.3× 60 1.1k
Jeremy L. Rickli United States 10 410 0.6× 62 0.2× 210 1.0× 98 1.1× 81 0.9× 38 826
Michael F. Zäh Germany 13 836 1.3× 397 1.3× 474 2.2× 230 2.5× 24 0.3× 98 1.4k
Roberto Macchiaroli Italy 18 512 0.8× 65 0.2× 113 0.5× 198 2.2× 58 0.7× 61 1.1k
Anna Valente Switzerland 18 600 0.9× 205 0.7× 668 3.1× 278 3.1× 36 0.4× 91 1.5k
Kerstin Johansen Sweden 15 247 0.4× 117 0.4× 169 0.8× 64 0.7× 33 0.4× 70 641
Éric Coatanéa Finland 16 316 0.5× 144 0.5× 366 1.7× 214 2.4× 48 0.5× 83 720
Arkadiusz Gola Poland 19 582 0.9× 54 0.2× 242 1.1× 105 1.2× 43 0.5× 106 1.1k
Samuel Gomes France 13 324 0.5× 158 0.5× 207 0.9× 123 1.4× 46 0.5× 42 630

Countries citing papers authored by Jeonghan Ko

Since Specialization
Citations

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

Fields of papers citing papers by Jeonghan Ko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jeonghan Ko

This figure shows the co-authorship network connecting the top 25 collaborators of Jeonghan Ko. A scholar is included among the top collaborators of Jeonghan Ko 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 Jeonghan Ko. Jeonghan Ko 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
1.
Ko, Jeonghan, et al.. (2024). Effective Modeling of CO2 Emissions for Light-Duty Vehicles: Linear and Non-Linear Models with Feature Selection. Energies. 17(7). 1655–1655. 3 indexed citations
2.
Ko, Jeonghan, et al.. (2024). Assessment of CO2 Emissions for Light-Duty Vehicles Using Dynamic Perturbation Additive Regression Trees. Sustainability. 16(23). 10335–10335.
3.
Ko, Jeonghan, et al.. (2023). Inventory Transshipment Considering Greenhouse Gas Emissions for Sustainable Cross-Filling in Cold Supply Chains. Sustainability. 15(9). 7211–7211. 5 indexed citations
4.
Ko, Jeonghan, et al.. (2022). Integrated Inventory Transshipment and Missing-Data Treatment Using Improved Imputation-Level Adjustment for Efficient Cross-Filling. Sustainability. 14(19). 12934–12934. 2 indexed citations
5.
Chung, Haseung, et al.. (2019). Optimal Powder Deposition Process to Develop a New Direct-Write Additive Manufacturing System. International Journal of Precision Engineering and Manufacturing. 20(6). 1057–1067. 4 indexed citations
6.
Choi, Jin Young, et al.. (2018). Geometric one-class classifiers using hyper-rectangles for knowledge extraction. Expert Systems with Applications. 117. 112–124. 5 indexed citations
7.
8.
Hu, S. Jack, et al.. (2016). A dynamic programming approach to integrated assembly planning and supplier assignment with lead time constraints. International Journal of Production Research. 54(9). 2691–2708. 9 indexed citations
9.
Hu, S. Jack, et al.. (2015). Concurrent Design of Assembly Plans and Supply Chain Configurations Using AND/OR Graphs and Dynamic Programing. Journal of Manufacturing Science and Engineering. 138(5). 11 indexed citations
10.
11.
Lee, Sang Won, et al.. (2014). Fabrication of three-dimensional functionally graded materials using controlled polycaprolactone powder characteristics and laser material processing. Journal of Composite Materials. 49(22). 2733–2743. 2 indexed citations
12.
Chung, Haseung, et al.. (2014). Review: Dimensional Accuracy in Additive Manufacturing Processes. 47 indexed citations
13.
14.
Ko, Jeonghan, et al.. (2013). Robust manufacturing line design with controlled moderate robustness in bottleneck buffer time to manage stochastic inter-task times. Journal of Manufacturing Systems. 32(2). 382–391. 18 indexed citations
15.
Xu, Zhan, Jeonghan Ko, David J. Cochran, & Myung‐Chul Jung. (2011). Design of assembly lines with the concurrent consideration of productivity and upper extremity musculoskeletal disorders using linear models. Computers & Industrial Engineering. 62(2). 431–441. 59 indexed citations
16.
17.
Wang, Hui, Jeonghan Ko, Xiaowei Zhu, & S. Jack Hu. (2010). A Complexity Model for Assembly Supply Chains and Its Application to Configuration Design. Journal of Manufacturing Science and Engineering. 132(2). 17 indexed citations
18.
Ko, Jeonghan & S. Jack Hu. (2008). Balancing of manufacturing systems with complex configurations for delayed product differentiation. International Journal of Production Research. 46(15). 4285–4308. 32 indexed citations
19.
Ko, Jeonghan, S. Jack Hu, & Tian Huang. (2005). Reusability Assessment for Manufacturing Systems. CIRP Annals. 54(1). 113–116. 24 indexed citations
20.
Ko, Jeonghan, Stanislav V. Bohac, Zoran Filipi, et al.. (2003). Robust Optimization of an Automotive Valvetrain Using a Multiobjective Genetic Algorithm. Deep Blue (University of Michigan). 97–108. 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.

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