Yong‐Hong Kuo

2.9k total citations · 1 hit paper
86 papers, 1.9k citations indexed

About

Yong‐Hong Kuo is a scholar working on Industrial and Manufacturing Engineering, Management Information Systems and Emergency Medical Services. According to data from OpenAlex, Yong‐Hong Kuo has authored 86 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Industrial and Manufacturing Engineering, 18 papers in Management Information Systems and 16 papers in Emergency Medical Services. Recurrent topics in Yong‐Hong Kuo's work include Healthcare Operations and Scheduling Optimization (16 papers), Transportation and Mobility Innovations (13 papers) and Supply Chain and Inventory Management (12 papers). Yong‐Hong Kuo is often cited by papers focused on Healthcare Operations and Scheduling Optimization (16 papers), Transportation and Mobility Innovations (13 papers) and Supply Chain and Inventory Management (12 papers). Yong‐Hong Kuo collaborates with scholars based in Hong Kong, China and Macao. Yong‐Hong Kuo's co-authors include Janny Leung, Sylvia Y. He, Andrew Kusiak, Yimo Yan, Dan Wu, W.Y. Szeto, Matthew E.H. Petering, Sin C. Ho, Colin A. Graham and Andy H.F. Chow and has published in prestigious journals such as European Journal of Operational Research, Expert Systems with Applications and Sustainability.

In The Last Decade

Yong‐Hong Kuo

82 papers receiving 1.8k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A survey of dial-a-ride problems: Literature review and recent developments

2018 300 citations W.Y. Szeto, Yong‐Hong Kuo et al. Transportation Research Part B Methodological profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yong‐Hong Kuo Hong Kong	21	635	596	345	313	308	86	1.9k
Ho‐Yin Mak United States	17	772 1.2×	205 0.3×	234 0.7×	705 2.3×	141 0.5×	38	1.7k
Janny Leung Hong Kong	26	527 0.8×	1.3k 2.1×	553 1.6×	166 0.5×	380 1.2×	60	2.7k
Bernard Gendron Canada	32	339 0.5×	1.6k 2.7×	379 1.1×	310 1.0×	496 1.6×	116	2.7k
Siqian Shen United States	21	286 0.5×	205 0.3×	198 0.6×	383 1.2×	121 0.4×	86	1.5k
Walter Ukovich Italy	27	500 0.8×	1.3k 2.2×	499 1.4×	234 0.7×	380 1.2×	175	2.9k
Jay Michael Rosenberger United States	25	763 1.2×	373 0.6×	344 1.0×	470 1.5×	182 0.6×	144	2.0k
Inneke Van Nieuwenhuyse Belgium	21	362 0.6×	952 1.6×	125 0.4×	128 0.4×	323 1.0×	72	2.1k
Maria Elena Bruni Italy	25	244 0.4×	716 1.2×	222 0.6×	94 0.3×	308 1.0×	87	1.8k
Maria Pia Fanti Italy	35	429 0.7×	1.7k 2.8×	281 0.8×	521 1.7×	505 1.6×	300	4.4k
F. Sibel Salman Türkiye	28	218 0.3×	1.0k 1.7×	176 0.5×	123 0.4×	186 0.6×	108	2.9k

Countries citing papers authored by Yong‐Hong Kuo

Since Specialization

Citations

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

Fields of papers citing papers by Yong‐Hong Kuo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yong‐Hong Kuo. 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 Yong‐Hong Kuo. The network helps show where Yong‐Hong Kuo may publish in the future.

Co-authorship network of co-authors of Yong‐Hong Kuo

This figure shows the co-authorship network connecting the top 25 collaborators of Yong‐Hong Kuo. A scholar is included among the top collaborators of Yong‐Hong Kuo 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 Yong‐Hong Kuo. Yong‐Hong Kuo 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

Yan, Yimo, et al.. (2025). Reinforcement learning for healthcare operations management: methodological framework, recent developments, and future research directions. Health Care Management Science. 28(2). 298–333. 5 indexed citations

Yan, Yimo, et al.. (2024). Multimodal fusion for large-scale traffic prediction with heterogeneous retentive networks. Information Fusion. 114. 102695–102695. 6 indexed citations

Ying, Cheng-shuo, Andy H.F. Chow, Yimo Yan, Yong‐Hong Kuo, & Shouyang Wang. (2024). Adaptive rescheduling of rail transit services with short-turnings under disruptions via a multi-agent deep reinforcement learning approach. Transportation Research Part B Methodological. 188. 103067–103067. 8 indexed citations

Kuo, Yong‐Hong, et al.. (2024). Stochastic home care transportation with dynamically prioritized patients: An integrated facility location, fleet sizing, and routing approach. Transportation Research Part B Methodological. 184. 102949–102949. 2 indexed citations

Wang, Jie, et al.. (2024). Group buying with consumer disappointment at failed deals. Transportation Research Part E Logistics and Transportation Review. 194. 103903–103903. 3 indexed citations

Deng, Yang, et al.. (2024). A proximal policy optimization approach for food delivery problem with reassignment due to order cancellation. Expert Systems with Applications. 258. 125045–125045. 3 indexed citations

Cui, Zheng, et al.. (2023). Scenario-based Distributionally Robust Optimization for the Stochastic Inventory Routing Problem. Transportation Research Part E Logistics and Transportation Review. 176. 103193–103193. 13 indexed citations

Yan, Yimo, et al.. (2023). A policy gradient approach to solving dynamic assignment problem for on-site service delivery. Transportation Research Part E Logistics and Transportation Review. 178. 103260–103260. 7 indexed citations

Queiroz, Thiago Alves de, Manuel Iori, Arthur Kramer, & Yong‐Hong Kuo. (2023). Dynamic scheduling of patients in emergency departments. European Journal of Operational Research. 310(1). 100–116. 10 indexed citations

10.

Kuo, Yong‐Hong, Janny Leung, & Yimo Yan. (2022). Public transport for smart cities: Recent innovations and future challenges. European Journal of Operational Research. 306(3). 1001–1026. 109 indexed citations

11.

Kuo, Yong‐Hong, et al.. (2022). Clustering-based iterative heuristic framework for a non-emergency patients transportation problem. Journal of Transport & Health. 26. 101411–101411. 4 indexed citations

12.

Verma, Abhishek, et al.. (2022). A data analytic-based logistics modelling framework for E-commerce enterprise. Enterprise Information Systems. 17(6). 10 indexed citations

13.

Masmoudi, Mohamed Amine, Simona Mancini, Roberto Baldacci, & Yong‐Hong Kuo. (2022). Vehicle routing problems with drones equipped with multi-package payload compartments. Transportation Research Part E Logistics and Transportation Review. 164. 102757–102757. 82 indexed citations

14.

Choi, Tsan‐Ming, et al.. (2022). Will providing return-freight-insurances do more good than harm to dual-channel e-commerce retailers?. European Journal of Operational Research. 307(3). 1225–1239. 23 indexed citations

15.

Xie, Yue, Allen H. Tai, Wai-Ki Ching, Yong‐Hong Kuo, & Na Song. (2021). Joint inspection and inventory control for deteriorating items with time-dependent demand and deteriorating rate. Annals of Operations Research. 300(1). 225–265. 10 indexed citations

16.

Wang, Xin, Yong‐Hong Kuo, Houcai Shen, & Lianmin Zhang. (2021). Target-oriented robust location–transportation problem with service-level measure. Transportation Research Part B Methodological. 153. 1–20. 19 indexed citations

17.

Cheng, Chun Hung, Yong‐Hong Kuo, & Ziye Zhou. (2020). Outbreak minimization v.s. influence maximization: an optimization framework. BMC Medical Informatics and Decision Making. 20(1). 266–266. 15 indexed citations

18.

Kuo, Yong‐Hong, et al.. (2019). Medical appointment overbooking and optimal scheduling: tradeoffs between schedule efficiency and accessibility to service. Flexible Services and Manufacturing Journal. 32(1). 72–101. 25 indexed citations

19.

Kuo, Yong‐Hong & W.Y. Szeto. (2018). Smart transportation and analytics. Transportmetrica B Transport Dynamics. 6(1). 1–3. 4 indexed citations

20.

Kuo, Yong‐Hong & Janny Leung. (2016). On the mixed set covering, packing and partitioning polytope. Discrete Optimization. 22. 162–182. 2 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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