Taesu Cheong

841 total citations
38 papers, 612 citations indexed

About

Taesu Cheong is a scholar working on Industrial and Manufacturing Engineering, Automotive Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Taesu Cheong has authored 38 papers receiving a total of 612 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Industrial and Manufacturing Engineering, 8 papers in Automotive Engineering and 7 papers in Electrical and Electronic Engineering. Recurrent topics in Taesu Cheong's work include Vehicle Routing Optimization Methods (7 papers), Transportation and Mobility Innovations (6 papers) and Transportation Planning and Optimization (5 papers). Taesu Cheong is often cited by papers focused on Vehicle Routing Optimization Methods (7 papers), Transportation and Mobility Innovations (6 papers) and Transportation Planning and Optimization (5 papers). Taesu Cheong collaborates with scholars based in South Korea, United States and Singapore. Taesu Cheong's co-authors include Seung Ho Yoo, Gitae Kim, Puay Siew Tan, Yew-Soon Ong, Gary S. May, Sang Jeen Hong, Chelsea C. White, Sangmin Lee, Seoung Bum Kim and Jinseok Hong and has published in prestigious journals such as Scientific Reports, Expert Systems with Applications and IEEE Access.

In The Last Decade

Taesu Cheong

33 papers receiving 592 citations

Peers

Taesu Cheong

IME

EEE

CSE

Yongzhong Wu China

Reza Moghdani Iran

Michaël Poss France

Eckehard Schnieder Germany

Yves Sallez France

Pedro Munari Brazil

Guangmin Wang China

Hongtao Lei China

Emanuela Guerriero Italy

Yongzhong Wu China

Taesu Cheong

342 ×1.6

IME

265 ×1.9

113 ×0.9

80 ×0.7

EEE

94 ×1.0

CSE

Citations per year, relative to Taesu Cheong Taesu Cheong (= 1×) peers Yongzhong Wu

Countries citing papers authored by Taesu Cheong

Since Specialization

Citations

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

Fields of papers citing papers by Taesu Cheong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Taesu Cheong

This figure shows the co-authorship network connecting the top 25 collaborators of Taesu Cheong. A scholar is included among the top collaborators of Taesu Cheong 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 Taesu Cheong. Taesu Cheong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Kim, Dongsoo, et al.. (2025). Extracting Supply Chain Information From News Articles Using Large Language Models: A Fully Automatic Approach. IEEE Access. 13. 156203–156214. 1 indexed citations

Cheong, Taesu, et al.. (2025). FDN: A Real-Time Ensemble Fire Detection Network. IEEE Access. 13. 96723–96739.

Dai, Xilei, et al.. (2025). Very short-term chiller energy consumption prediction based on simplified heterogeneous graph convolutional network. Energy and Buildings. 329. 115249–115249. 2 indexed citations

Jeong, Ji-Hoon, Yongseok Jeon, Seung Pil Pack, et al.. (2025). Machine learning-based prediction of restless legs syndrome using digital phenotypes from wearables and smartphone data. Scientific Reports. 15(1). 16349–16349.

Wang, Xiaohan, Xiqun Chen, Chi Xie, & Taesu Cheong. (2024). Coordinative dispatching of shared and public transportation under passenger flow outburst. Transportation Research Part E Logistics and Transportation Review. 189. 103655–103655. 3 indexed citations

Xie, Chi, et al.. (2024). Smart Battery Swapping Control for an Electric Motorcycle Fleet With Peak Time Based on Deep Reinforcement Learning. IEEE Transactions on Intelligent Transportation Systems. 25(12). 20175–20189. 2 indexed citations

Park, Seungkeun, et al.. (2024). Dynamic-Persistent CSMA: A Reinforcement Learning Approach for Multi-User Channel Access. IEEE Access. 12. 178705–178716. 1 indexed citations

Xie, Chi, et al.. (2024). An Exact A*-Based Tree Search Algorithm for TSP With Sequence-and-Load Dependent Risk. IEEE Transactions on Intelligent Transportation Systems. 25(9). 10817–10834. 2 indexed citations

Cheong, Taesu, et al.. (2023). Optimizing Ambulance Allocation in Dynamic Urban Environments: A Historic Data-Driven Approach. Applied Sciences. 13(21). 11671–11671.

10.

Cheong, Taesu, et al.. (2022). Baking and slicing the pie: An application to the airline alliance's profit-sharing based on cooperative game theory. Journal of Air Transport Management. 102. 102219–102219. 7 indexed citations

11.

Han, Kap Su, et al.. (2022). Analysis on Benefits and Costs of Machine Learning-Based Early Hospitalization Prediction. IEEE Access. 10. 32479–32493. 7 indexed citations

12.

Cheong, Taesu, et al.. (2021). Unmanned Aerial Vehicle Last-Mile Delivery Considering Backhauls. IEEE Access. 9. 85017–85033. 29 indexed citations

13.

Hong, Jinseok, et al.. (2021). Flexible Delivery Routing for Elastic Logistics: A Model and an Algorithm. IEEE Transactions on Intelligent Transportation Systems. 23(7). 6864–6882. 5 indexed citations

14.

Lee, Sangmin, et al.. (2019). Iterative two-stage hybrid algorithm for the vehicle lifter location problem in semiconductor manufacturing. Journal of Manufacturing Systems. 51. 106–119. 14 indexed citations

15.

Lee, Sangmin, et al.. (2019). Intelligent traffic control for autonomous vehicle systems based on machine learning. Expert Systems with Applications. 144. 113074–113074. 85 indexed citations

16.

Yoo, Seung Ho & Taesu Cheong. (2018). Quality improvement incentive strategies in a supply chain. Transportation Research Part E Logistics and Transportation Review. 114. 331–342. 69 indexed citations

17.

Cheong, Taesu, et al.. (2018). The Sharing of Benefits from a Logistics Alliance Based on a Hub-Spoke Network: A Cooperative Game Theoretic Approach. Sustainability. 10(6). 1855–1855. 14 indexed citations

18.

Kim, Gitae, Yew-Soon Ong, Taesu Cheong, & Puay Siew Tan. (2016). Solving the Dynamic Vehicle Routing Problem Under Traffic Congestion. IEEE Transactions on Intelligent Transportation Systems. 17(8). 2367–2380. 92 indexed citations

19.

Cheong, Taesu & Chelsea C. White. (2011). Dynamic Traveling Salesman Problem: Value of Real-Time Traffic Information. IEEE Transactions on Intelligent Transportation Systems. 13(2). 619–630. 29 indexed citations

20.

Ng, T. W. & Taesu Cheong. (2004). The optical mouse as an inexpensive region‐of‐interest position recorder in optical microscopy. Microscopy Research and Technique. 63(4). 203–205. 15 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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