Gyu M. Lee

679 total citations
35 papers, 487 citations indexed

About

Gyu M. Lee is a scholar working on Industrial and Manufacturing Engineering, Organizational Behavior and Human Resource Management and Control and Systems Engineering. According to data from OpenAlex, Gyu M. Lee has authored 35 papers receiving a total of 487 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Industrial and Manufacturing Engineering, 10 papers in Organizational Behavior and Human Resource Management and 6 papers in Control and Systems Engineering. Recurrent topics in Gyu M. Lee's work include Facility Location and Emergency Management (10 papers), Vehicle Routing Optimization Methods (8 papers) and Evacuation and Crowd Dynamics (6 papers). Gyu M. Lee is often cited by papers focused on Facility Location and Emergency Management (10 papers), Vehicle Routing Optimization Methods (8 papers) and Evacuation and Crowd Dynamics (6 papers). Gyu M. Lee collaborates with scholars based in South Korea, India and Switzerland. Gyu M. Lee's co-authors include Yanjie Zhou, Xuehong Gao, Ilkyeong Moon, Amrit Das, Sushanta Tripathy, Satyabrata Aich, Gregor von Cieminski, Dimitris Kiritsis, Jinwoo Park and Ibrahim M. Hezam and has published in prestigious journals such as IEEE Access, IEEE Communications Magazine and Sustainability.

In The Last Decade

Gyu M. Lee

34 papers receiving 469 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gyu M. Lee South Korea 14 197 143 64 64 60 35 487
Alfredo Candia-Véjar Chile 11 114 0.6× 81 0.6× 63 1.0× 43 0.7× 70 1.2× 21 427
Xuehong Gao China 12 131 0.7× 191 1.3× 80 1.3× 65 1.0× 53 0.9× 36 494
M. M. Lotfi Iran 14 153 0.8× 148 1.0× 108 1.7× 25 0.4× 75 1.3× 42 552
Sergio García United Kingdom 12 240 1.2× 228 1.6× 50 0.8× 104 1.6× 53 0.9× 24 471
Ragheb Rahmaniani Iran 9 338 1.7× 186 1.3× 151 2.4× 73 1.1× 117 1.9× 14 788
Eda Yücel Türkiye 11 199 1.0× 186 1.3× 44 0.7× 28 0.4× 63 1.1× 23 429
Vahid Akbari United Kingdom 13 236 1.2× 281 2.0× 47 0.7× 72 1.1× 67 1.1× 28 586
José‐Fernando Camacho‐Vallejo Mexico 15 266 1.4× 192 1.3× 180 2.8× 113 1.8× 47 0.8× 44 642
Mehdi Alinaghian Iran 8 295 1.5× 131 0.9× 39 0.6× 93 1.5× 26 0.4× 21 495
Alireza Eydi Iran 11 216 1.1× 66 0.5× 78 1.2× 92 1.4× 53 0.9× 46 415

Countries citing papers authored by Gyu M. Lee

Since Specialization
Citations

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

Fields of papers citing papers by Gyu M. Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gyu M. Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Gyu M. Lee. A scholar is included among the top collaborators of Gyu M. 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 Gyu M. Lee. Gyu M. 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.
Lee, Gyu M., et al.. (2024). A Comparison of Impermant Loss for Various CFMMs. 542–548. 1 indexed citations
2.
Lee, Gyu M., et al.. (2024). Airline dynamic pricing with patient customers using deep exploration-based reinforcement learning. Engineering Applications of Artificial Intelligence. 133. 108073–108073. 6 indexed citations
3.
Lee, Gyu M., et al.. (2021). FAIR PROFIT DISTRIBUTION IN DELIVERY SERVICE COLLABORATION CONSIDERING SERVICE QUALITY. International journal of industrial engineering. 28(2). 1 indexed citations
4.
Zhou, Yanjie & Gyu M. Lee. (2020). A BI-OBJECTIVE MEDICAL RELIEF SHELTER LOCATION PROBLEM CONSIDERING COVERAGE RATIOS. International journal of industrial engineering. 27(6). 13 indexed citations
5.
Lee, Gyu M., et al.. (2020). A FORMAL MODEL OF THE AGENT-BASED SIMULATION FOR THE EMERGENCY EVACUATION PLANNING. International journal of industrial engineering. 27(4). 2 indexed citations
6.
Hezam, Ibrahim M., et al.. (2020). A Systematic Literature Review on Mathematical Models of Humanitarian Logistics. Symmetry. 13(1). 11–11. 27 indexed citations
7.
Gao, Xuehong, et al.. (2018). A Hybrid Genetic Algorithm for Multi-emergency Medical Service Center Location-allocation Problem in Disaster Response. International journal of industrial engineering. 24(6). 24 indexed citations
8.
Moon, Ilkyeong, Gyu M. Lee, Jinwoo Park, Dimitris Kiritsis, & Gregor von Cieminski. (2018). Advances in Production Management Systems. Smart Manufacturing for Industry 4.0: IFIP WG 5.7 International Conference, APMS 2018, Seoul, Korea, August. Springer eBooks. 1 indexed citations
9.
Gao, Xuehong & Gyu M. Lee. (2018). Moment-based rental prediction for bicycle-sharing transportation systems using a hybrid genetic algorithm and machine learning. Computers & Industrial Engineering. 128. 60–69. 38 indexed citations
10.
Kim, Sung Woo, et al.. (2018). Network repair crew scheduling for short-term disasters. Applied Mathematical Modelling. 64. 510–523. 29 indexed citations
11.
Moon, Ilkyeong, Gyu M. Lee, Jinwoo Park, Dimitris Kiritsis, & Gregor von Cieminski. (2018). Advances in Production Management Systems. Production Management for Data-Driven, Intelligent, Collaborative, and Sustainable Manufacturing. IFIP advances in information and communication technology. 14 indexed citations
12.
Lee, Gyu M., et al.. (2017). Agent-based Simulation of Emergency Evacuation for Nuclear Plant Disaster. International journal of industrial engineering. 23(6). 2 indexed citations
13.
Zhou, Yanjie & Gyu M. Lee. (2017). Linking soft computing to art: introduction of efficient k-continuous line drawing. Applied Soft Computing. 68. 932–943.
14.
Lee, Gyu M., et al.. (2017). Medical Relief Shelter Location Considering the Severity of Patients Under Limited Relief Budget. Journal of Korean Institute of Industrial Engineers. 43(5). 372–379. 1 indexed citations
15.
Lee, Gyu M., et al.. (2017). A novel coarse-to-fine registration approach for aligning partially overlapped 3D scanned data. International Journal of Computer Integrated Manufacturing. 31(8). 718–726. 1 indexed citations
16.
Eroğlu, Abdullah, et al.. (2016). AN ECONOMIC ORDER QUANTITY MODEL FOR LOTS CONTAINING DEFECTIVE ITEMS WITH REWORK OPTION. International journal of industrial engineering. 22(6). 2 indexed citations
17.
Lee, Gyu M., et al.. (2015). Spatial scheduling for large assembly blocks in shipbuilding. Computers & Industrial Engineering. 89. 203–212. 29 indexed citations
18.
Lee, Gyu M., et al.. (2014). LOWER AND UPPER BOUNDS FOR MILITARY DEPLOYMENT PLANNING CONSIDERING COMBAT. International journal of industrial engineering. 21(6). 3 indexed citations
19.
Park, Dong Yong, et al.. (2014). Development of hydrophobic forcep for robot surgery. 77–79. 1 indexed citations
20.
Lee, Gyu M., et al.. (2012). A semantic enhanced service exposure model for a converged service environment. IEEE Communications Magazine. 50(3). 32–40. 12 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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