Mingyu Lee

619 total citations
32 papers, 415 citations indexed

About

Mingyu Lee is a scholar working on Computational Theory and Mathematics, Statistics, Probability and Uncertainty and Management Science and Operations Research. According to data from OpenAlex, Mingyu Lee has authored 32 papers receiving a total of 415 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computational Theory and Mathematics, 9 papers in Statistics, Probability and Uncertainty and 6 papers in Management Science and Operations Research. Recurrent topics in Mingyu Lee's work include Advanced Multi-Objective Optimization Algorithms (12 papers), Probabilistic and Robust Engineering Design (9 papers) and Optimal Experimental Design Methods (6 papers). Mingyu Lee is often cited by papers focused on Advanced Multi-Objective Optimization Algorithms (12 papers), Probabilistic and Robust Engineering Design (9 papers) and Optimal Experimental Design Methods (6 papers). Mingyu Lee collaborates with scholars based in South Korea, China and United States. Mingyu Lee's co-authors include Jae Young Lee, Ikjin Lee, Min Chul Kim, Junggeon Park, Yongsu Jung, Goeun Choe, Seunghwa Ryu, Donggeun Park, Kundo Park and Sang‐Hun Lee and has published in prestigious journals such as SHILAP Revista de lepidopterología, ACS Nano and Advanced Functional Materials.

In The Last Decade

Mingyu Lee

24 papers receiving 408 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mingyu Lee South Korea 11 157 80 61 59 58 32 415
Peiyan Wang China 14 59 0.4× 38 0.5× 13 0.2× 33 0.6× 55 0.9× 59 533
A. A. Romero Argentina 13 86 0.5× 143 1.8× 3 0.0× 76 1.3× 86 1.5× 61 668
Yun Young Choi South Korea 14 142 0.9× 201 2.5× 4 0.1× 18 0.3× 26 0.4× 28 722
Emmanuelle Jacquet France 10 139 0.9× 34 0.4× 16 0.3× 104 1.8× 12 0.2× 35 360
Jin Yan United States 10 138 0.9× 101 1.3× 4 0.1× 32 0.5× 18 0.3× 25 440
Pan Hong-xia China 10 54 0.3× 35 0.4× 7 0.1× 9 0.2× 86 1.5× 100 481
Jiayi Hu China 13 131 0.8× 16 0.2× 5 0.1× 18 0.3× 37 0.6× 55 528
Mohd‐Zulhilmi Ismadi Malaysia 10 162 1.0× 19 0.2× 8 0.1× 33 0.6× 18 0.3× 18 475
Davide D’Angella Germany 9 226 1.4× 128 1.6× 14 0.2× 41 0.7× 14 0.2× 12 454

Countries citing papers authored by Mingyu Lee

Since Specialization
Citations

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

Fields of papers citing papers by Mingyu Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mingyu Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Mingyu Lee. A scholar is included among the top collaborators of Mingyu Lee 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 Mingyu Lee. Mingyu Lee 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.
Jung, Yongsu, et al.. (2026). Data-driven time-variant reliability analysis using deep Gaussian processes. Reliability Engineering & System Safety. 274. 112395–112395.
2.
Lee, Mingyu, et al.. (2025). A novel low-fidelity-guided design of experiments for multi-fidelity surrogate modeling. Advanced Engineering Informatics. 69. 104076–104076.
3.
Lee, Mingyu, et al.. (2025). A novel adaptive quality-based multi-fidelity surrogate framework for multiple low-fidelity data sources. Advanced Engineering Informatics. 69. 103973–103973.
4.
Lee, Mingyu, et al.. (2025). Efficient and robust thermal battery design optimization leveraging physically similar data. Applied Thermal Engineering. 269. 126009–126009. 2 indexed citations
5.
Lee, Mingyu, et al.. (2024). Optimization framework for surveillance camera layouts considering infiltration routes in general outposts (GOPs). Expert Systems with Applications. 263. 125804–125804.
6.
Lee, Mingyu, et al.. (2024). An efficient multi-fidelity design optimization framework for a thermoelectric generator system. Energy Conversion and Management. 315. 118788–118788. 6 indexed citations
7.
Lee, Hyuntae, et al.. (2024). Diluent-mediated interfacial reactions in localized-high-concentration electrolytes for fast-charging lithium-ion batteries. Journal of Materials Chemistry A. 12(27). 16517–16527. 8 indexed citations
8.
Lee, Mingyu & Jongwon Choi. (2024). Text-Guided Variational Image Generation for Industrial Anomaly Detection and Segmentation. 26509–26518. 5 indexed citations
9.
Lee, Juyoung, Mingyu Lee, Bong Jae Lee, & Ikjin Lee. (2024). A comprehensive multi-fidelity surrogate framework based on Gaussian process for datasets with heterogeneous responses. Knowledge-Based Systems. 295. 111827–111827. 6 indexed citations
10.
Lee, Mingyu, et al.. (2023). Programmable Logic Controller Block Monitoring System for Memory Attack Defense in Industrial Control Systems. Computers, materials & continua/Computers, materials & continua (Print). 77(2). 2427–2442.
11.
Lee, Mingyu, et al.. (2023). Multiscale Imaging Techniques for Real‐Time, Noninvasive Diagnosis of Li‐Ion Battery Failures. SHILAP Revista de lepidopterología. 3(11). 2300063–2300063. 5 indexed citations
12.
Lee, Junhyeong, Donggeun Park, Mingyu Lee, et al.. (2023). Machine learning-based inverse design methods considering data characteristics and design space size in materials design and manufacturing: a review. Materials Horizons. 10(12). 5436–5456. 59 indexed citations
13.
Lee, Mingyu, Yoojeong Noh, & Ikjin Lee. (2023). A novel sampling method for adaptive gradient-enhanced Kriging. Computer Methods in Applied Mechanics and Engineering. 418. 116456–116456. 11 indexed citations
14.
Lee, Mingyu, et al.. (2023). An effective active learning strategy for reliability-based design optimization under multiple simulation models. Structural Safety. 107. 102426–102426. 4 indexed citations
15.
Lee, Mingyu, Min Chul Kim, & Jae Young Lee. (2022). Nanomaterial-Based Electrically Conductive Hydrogels for Cardiac Tissue Repair. International Journal of Nanomedicine. Volume 17. 6181–6200. 43 indexed citations
16.
Choe, Goeun, Mingyu Lee, Ji Min Seok, et al.. (2022). Three-dimensional bioprinting of mesenchymal stem cells using an osteoinductive bioink containing alginate and BMP-2-loaded PLGA nanoparticles for bone tissue engineering. Biomaterials Advances. 136. 212789–212789. 37 indexed citations
17.
Lee, Mingyu, et al.. (2022). A new sampling approach for system reliability-based design optimization under multiple simulation models. Reliability Engineering & System Safety. 231. 109024–109024. 17 indexed citations
18.
Jung, Yongsu, et al.. (2020). Probabilistic analytical target cascading using kernel density estimation for accurate uncertainty propagation. Structural and Multidisciplinary Optimization. 61(5). 2077–2095. 13 indexed citations
19.
Thirunavukkarasu, Guru Karthikeyan, et al.. (2018). On-demand generation of heat and free radicals for dual cancer therapy using thermal initiator- and gold nanorod-embedded PLGA nanocomplexes. Journal of Industrial and Engineering Chemistry. 69. 405–413. 16 indexed citations
20.
Choi, Eunjung, et al.. (2013). Research on the gesture design tendency of UI experts and users. 대한인간공학회 학술대회논문집. 102–109. 1 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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