Mingyu Lee

47 total papers · 589 total citations
29 papers, 387 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 29 papers receiving a total of 387 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computational Theory and Mathematics, 8 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 (8 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 (8 papers) and Optimal Experimental Design Methods (6 papers). Mingyu Lee collaborates with scholars based in South Korea, United States and China. Mingyu Lee's co-authors include Jae Young Lee, Ikjin Lee, Min Chul Kim, Junggeon Park, Yongsu Jung, Goeun Choe, Seunghwa Ryu, Kundo Park, Junhyeong Lee and Hyung‐Seok Kim 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 380 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Mingyu Lee	153	77	60	57	55	29	387
Hüseyin Lekesiz	79 0.5×	42 0.5×	47 0.8×	36 0.6×	17 0.3×	22	416
Moshe B. Fuchs	131 0.9×	8 0.1×	27 0.5×	27 0.5×	45 0.8×	26	422
Michele Terzano	173 1.1×	27 0.4×	7 0.1×	32 0.6×	33 0.6×	37	421
Luca Esposito	87 0.6×	7 0.1×	15 0.3×	30 0.5×	136 2.5×	39	393
Kevin Ryan	29 0.2×	15 0.2×	35 0.6×	38 0.7×	4 0.1×	22	332
Emmanuelle Jacquet	139 0.9×	34 0.4×	16 0.3×	12 0.2×	104 1.9×	34	359
Wacław Kuś	118 0.8×	10 0.1×	52 0.9×	68 1.2×	25 0.5×	55	413
Jin Yan	136 0.9×	101 1.3×	4 0.1×	18 0.3×	32 0.6×	25	435
Mojtaba Barzegari	98 0.6×	34 0.4×	10 0.2×	40 0.7×	30 0.5×	20	388
Dongyang Lin	177 1.2×	57 0.7×	6 0.1×	127 2.2×	53 1.0×	18	445

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

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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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