Yuncheol Kang

613 total citations
25 papers, 431 citations indexed

About

Yuncheol Kang is a scholar working on Automotive Engineering, Management Science and Operations Research and Strategy and Management. According to data from OpenAlex, Yuncheol Kang has authored 25 papers receiving a total of 431 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Automotive Engineering, 5 papers in Management Science and Operations Research and 4 papers in Strategy and Management. Recurrent topics in Yuncheol Kang's work include Transportation and Mobility Innovations (7 papers), Sustainable Supply Chain Management (4 papers) and Urban and Freight Transport Logistics (3 papers). Yuncheol Kang is often cited by papers focused on Transportation and Mobility Innovations (7 papers), Sustainable Supply Chain Management (4 papers) and Urban and Freight Transport Logistics (3 papers). Yuncheol Kang collaborates with scholars based in South Korea, United States and Pakistan. Yuncheol Kang's co-authors include Muhammad Waqas Iqbal, Byung Do Chung, Hyun Woo Jeon, Seokgi Lee, Bongju Jeong, Vittaldas V. Prabhu, Daiki Min, Jing Liu, Sung‐Hoon Ahn and Doo‐Man Chun and has published in prestigious journals such as Journal of Cleaner Production, European Journal of Operational Research and Expert Systems with Applications.

In The Last Decade

Yuncheol Kang

23 papers receiving 421 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yuncheol Kang South Korea 10 212 87 85 63 56 25 431
Ivan Darma Wangsa Indonesia 13 297 1.4× 232 2.7× 72 0.8× 42 0.7× 53 0.9× 33 440
Babak Farhang Moghaddam Iran 11 258 1.2× 119 1.4× 185 2.2× 63 1.0× 72 1.3× 21 588
Dhirendra Prajapati India 11 209 1.0× 68 0.8× 140 1.6× 57 0.9× 82 1.5× 15 391
S.P. Anbuudayasankar India 13 123 0.6× 110 1.3× 169 2.0× 26 0.4× 58 1.0× 70 516
Eva Ponce-Cueto Spain 10 197 0.9× 53 0.6× 126 1.5× 130 2.1× 83 1.5× 33 489
Amir H. Ansaripoor Australia 11 179 0.8× 121 1.4× 79 0.9× 28 0.4× 17 0.3× 15 414
Sushmera Manikandan United Arab Emirates 2 326 1.5× 94 1.1× 64 0.8× 96 1.5× 47 0.8× 3 416
Harshad Sonar India 11 178 0.8× 77 0.9× 63 0.7× 19 0.3× 22 0.4× 24 351
Ivan Ferretti Italy 10 245 1.2× 143 1.6× 85 1.0× 83 1.3× 25 0.4× 32 383
Bing Qing Tan China 11 115 0.5× 70 0.8× 83 1.0× 27 0.4× 74 1.3× 23 337

Countries citing papers authored by Yuncheol Kang

Since Specialization
Citations

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

Fields of papers citing papers by Yuncheol Kang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuncheol Kang

This figure shows the co-authorship network connecting the top 25 collaborators of Yuncheol Kang. A scholar is included among the top collaborators of Yuncheol Kang 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 Yuncheol Kang. Yuncheol Kang 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.
2.
Iqbal, Muhammad Waqas & Yuncheol Kang. (2024). Circular economy of food: A secondary supply chain model on food waste management incorporating IoT based technology. Journal of Cleaner Production. 435. 140566–140566. 17 indexed citations
3.
Liu, Jing & Yuncheol Kang. (2023). Automated cryptocurrency trading approach using ensemble deep reinforcement learning: Learn to understand candlesticks. Expert Systems with Applications. 237. 121373–121373. 11 indexed citations
4.
Min, Daiki, et al.. (2023). Intelligent charging and discharging of electric vehicles in a vehicle-to-grid system using a reinforcement learning-based approach. Sustainable Energy Grids and Networks. 36. 101224–101224. 24 indexed citations
5.
Liu, Jing & Yuncheol Kang. (2023). Automated Cryptocurrency Trading Approach Using Ensemble Deep Reinforcement Learning: Learn to Understand Candlesticks. SSRN Electronic Journal. 1 indexed citations
6.
Kang, Yuncheol, et al.. (2023). A deep learning-based approach to a newsvendor problem considering uncertainty and time-varying costs. Optimization Letters. 1 indexed citations
7.
Kang, Yuncheol, et al.. (2021). Supply Chain Finance and Financing Constraints: Evidence from Chinese Multinational Manufacturing Firms. 18(3). 33–72. 1 indexed citations
8.
Min, Daiki & Yuncheol Kang. (2020). A learning-based approach for dynamic freight brokerages with transfer and territory-based assignment. Computers & Industrial Engineering. 153. 107042–107042. 4 indexed citations
9.
Iqbal, Muhammad Waqas, Yuncheol Kang, & Hyun Woo Jeon. (2019). Zero waste strategy for green supply chain management with minimization of energy consumption. Journal of Cleaner Production. 245. 118827–118827. 97 indexed citations
10.
Kang, Yuncheol, Seokgi Lee, & Byung Do Chung. (2019). Learning-based logistics planning and scheduling for crowdsourced parcel delivery. Computers & Industrial Engineering. 132. 271–279. 29 indexed citations
11.
Chung, Byung Do, et al.. (2018). Robust optimization model for closed-loop supply chain planning under reverse logistics flow and demand uncertainty. Journal of Cleaner Production. 196. 1314–1328. 102 indexed citations
12.
Lee, Seokgi, Yuncheol Kang, Nicholas S. Ialongo, & Vittaldas V. Prabhu. (2016). Predictive analytics for delivering prevention services. Expert Systems with Applications. 55. 469–479. 1 indexed citations
13.
Kang, Yuncheol, Melinda R. Steis, Ann Kolanowski, Donna M. Fick, & Vittaldas V. Prabhu. (2016). Measuring agreement between healthcare survey instruments using mutual information. BMC Medical Informatics and Decision Making. 16(1). 99–99. 3 indexed citations
14.
Kang, Yuncheol, Amy M. Sawyer, Paul M. Griffin, & Vittaldas V. Prabhu. (2015). Modelling adherence behaviour for the treatment of obstructive sleep apnoea. European Journal of Operational Research. 249(3). 1005–1013. 6 indexed citations
15.
Lee, Seokgi, Yuncheol Kang, & Vittaldas V. Prabhu. (2013). Continuous variable control approach for home care crew scheduling. Winter Simulation Conference. 2262–2273. 3 indexed citations
16.
Kang, Yuncheol, Vittaldas V. Prabhu, Amy M. Sawyer, & Paul M. Griffin. (2013). Markov models for treatment adherence in obstructive sleep apnea. 1592–1599. 2 indexed citations
17.
Steis, Melinda R., Vittal Prabhu, Ann Kolanowski, et al.. (2012). Detection of delirium in community-dwelling persons with dementia. 16(1). 1274. 14 indexed citations
18.
Chang, Joonho, et al.. (2010). Determination of Bicycle Handle Diameters considering Hand Anthropometric Data and User Satisfaction. Proceedings of the Human Factors and Ergonomics Society Annual Meeting. 54(20). 1790–1793. 5 indexed citations
19.
Kang, Yuncheol, Doo‐Man Chun, Jun Yan, & Sung‐Hoon Ahn. (2010). Computer-aided environmental design system for the energy-using product (EuP) directive. International Journal of Precision Engineering and Manufacturing. 11(3). 397–406. 16 indexed citations
20.
Kang, Yuncheol, Vittal Prabhu, Melinda R. Steis, et al.. (2010). Integrating information from family caregivers for eldercare. 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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