Sungbum Jun

467 total citations
18 papers, 323 citations indexed

About

Sungbum Jun is a scholar working on Industrial and Manufacturing Engineering, Automotive Engineering and Information Systems. According to data from OpenAlex, Sungbum Jun has authored 18 papers receiving a total of 323 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Industrial and Manufacturing Engineering, 3 papers in Automotive Engineering and 3 papers in Information Systems. Recurrent topics in Sungbum Jun's work include Vehicle Routing Optimization Methods (5 papers), Advanced Manufacturing and Logistics Optimization (3 papers) and Transportation and Mobility Innovations (3 papers). Sungbum Jun is often cited by papers focused on Vehicle Routing Optimization Methods (5 papers), Advanced Manufacturing and Logistics Optimization (3 papers) and Transportation and Mobility Innovations (3 papers). Sungbum Jun collaborates with scholars based in South Korea, United States and Uganda. Sungbum Jun's co-authors include Seokcheon Lee, Tai‐Woo Chang, Jinwoo Park, Hyonho Chun, Jeongcheol Lee, Yuehwern Yih, Hyuk-Jin Yoon, Dong-Myung Lee, Byung Duk Song and Byungun Yoon and has published in prestigious journals such as European Journal of Operational Research, Expert Systems with Applications and Sensors.

In The Last Decade

Sungbum Jun

17 papers receiving 315 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sungbum Jun South Korea 10 223 37 35 28 26 18 323
Szilárd Jaskó Hungary 8 255 1.1× 33 0.9× 48 1.4× 23 0.8× 12 0.5× 19 381
Rachid Benmansour France 12 284 1.3× 37 1.0× 22 0.6× 32 1.1× 23 0.9× 46 362
Silviu Răileanu Romania 10 293 1.3× 44 1.2× 40 1.1× 28 1.0× 13 0.5× 27 415
Olivier Cardin France 15 458 2.1× 50 1.4× 50 1.4× 44 1.6× 20 0.8× 43 571
Zhengang Guo United Kingdom 7 271 1.2× 61 1.6× 43 1.2× 58 2.1× 26 1.0× 10 419
Gianfranco E. Modoni Italy 10 168 0.8× 50 1.4× 27 0.8× 13 0.5× 12 0.5× 20 286
Κωνσταντίνος Σίψας Greece 9 271 1.2× 47 1.3× 46 1.3× 31 1.1× 12 0.5× 12 352
Lei Yue China 14 403 1.8× 26 0.7× 42 1.2× 19 0.7× 19 0.7× 64 532
O. Sajdl Czechia 5 211 0.9× 56 1.5× 38 1.1× 29 1.0× 17 0.7× 12 319

Countries citing papers authored by Sungbum Jun

Since Specialization
Citations

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

Fields of papers citing papers by Sungbum Jun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sungbum Jun

This figure shows the co-authorship network connecting the top 25 collaborators of Sungbum Jun. A scholar is included among the top collaborators of Sungbum Jun 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 Sungbum Jun. Sungbum Jun 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.
Lee, Chan Gyu & Sungbum Jun. (2024). Feature Extraction With Genetic Programming for Root Cause Identification in Manufacturing With Interpretable Machine Learning. IEEE Transactions on Evolutionary Computation. 29(4). 1029–1040.
2.
Song, Byung Duk, Sungbum Jun, & Seokcheon Lee. (2024). Integrated System Design for Post-Disaster Management: Multi-Facility, Multi-Period, and Bi-Objective Optimization Approach. Systems. 12(3). 69–69. 1 indexed citations
3.
Lee, Jeongcheol, et al.. (2023). A Maturity Model for Diagnosing the Capabilities of Smart Factory Solution Suppliers and Its Pilot Application. Systems. 11(12). 569–569. 1 indexed citations
4.
Jun, Sungbum, et al.. (2022). Scheduling of autonomous mobile robots with conflict-free routes utilising contextual-bandit-based local search. International Journal of Production Research. 60(13). 4090–4116. 7 indexed citations
5.
Jun, Sungbum, et al.. (2022). Demand sensing and digital tracking for maternal child health (MCH) in Uganda: a pilot study for ‘E+TRA health’. BMC Medical Informatics and Decision Making. 22(1). 239–239. 4 indexed citations
6.
Jun, Sungbum & Seokcheon Lee. (2022). Evolutionary neural network for learning of scalable heuristics for pickup and delivery problems with time windows. Computers & Industrial Engineering. 169. 108282–108282. 5 indexed citations
7.
Chang, Tai‐Woo, Byungun Yoon, Sungbum Jun, Jeongcheol Lee, & Hoontae Kim. (2022). A Study on Digital Maturity Assessment for Digital Industrial Innovation. 27(3). 95–111. 1 indexed citations
8.
Jun, Sungbum. (2021). Evolutionary Algorithm for Improving Decision Tree with Global Discretization in Manufacturing. Sensors. 21(8). 2849–2849. 10 indexed citations
9.
Chang, Tai‐Woo, et al.. (2020). Quality Prediction and Yield Improvement in Process Manufacturing Based on Data Analytics. Processes. 8(9). 1068–1068. 24 indexed citations
10.
Jun, Sungbum, Seokcheon Lee, & Yuehwern Yih. (2020). Pickup and delivery problem with recharging for material handling systems utilising autonomous mobile robots. European Journal of Operational Research. 289(3). 1153–1168. 38 indexed citations
11.
Jun, Sungbum & Seokcheon Lee. (2020). Learning dispatching rules for single machine scheduling with dynamic arrivals based on decision trees and feature construction. International Journal of Production Research. 59(9). 2838–2856. 25 indexed citations
12.
Jun, Sungbum, Seokcheon Lee, & Hyonho Chun. (2019). Learning dispatching rules using random forest in flexible job shop scheduling problems. International Journal of Production Research. 57(10). 3290–3310. 61 indexed citations
13.
Song, Byung Duk, et al.. (2019). Movable Unmanned Aerial System: Optimization of System, Resource Design and Drone Routing. Procedia Manufacturing. 39. 300–306. 1 indexed citations
14.
Jun, Sungbum, Tai‐Woo Chang, & Hyuk-Jin Yoon. (2018). Placing Visual Sensors Using Heuristic Algorithms for Bridge Surveillance. Applied Sciences. 8(1). 70–70. 11 indexed citations
15.
Lee, Jeongcheol, Sungbum Jun, Tai‐Woo Chang, & Jinwoo Park. (2017). A Smartness Assessment Framework for Smart Factories Using Analytic Network Process. Sustainability. 9(5). 794–794. 68 indexed citations
16.
Jun, Sungbum, et al.. (2017). Camera Placement in Smart Cities for Maximizing Weighted Coverage With Budget Limit. IEEE Sensors Journal. 17(23). 7694–7703. 26 indexed citations
17.
Jun, Sungbum & Jinwoo Park. (2015). A hybrid genetic algorithm for the hybrid flow shop scheduling problem with nighttime work and simultaneous work constraints: A case study from the transformer industry. Expert Systems with Applications. 42(15-16). 6196–6204. 29 indexed citations
18.
Jun, Sungbum, Dong-Myung Lee, & Jinwoo Park. (2013). Determining business models in bottom‐of‐the‐pyramid markets. Industrial Management & Data Systems. 113(7). 1064–1082. 11 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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