Ping-Shun Chen

1.2k total citations
44 papers, 779 citations indexed

About

Ping-Shun Chen is a scholar working on Emergency Medical Services, Strategy and Management and Management Information Systems. According to data from OpenAlex, Ping-Shun Chen has authored 44 papers receiving a total of 779 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Emergency Medical Services, 12 papers in Strategy and Management and 12 papers in Management Information Systems. Recurrent topics in Ping-Shun Chen's work include Healthcare Operations and Scheduling Optimization (16 papers), Sustainable Supply Chain Management (8 papers) and Hospital Admissions and Outcomes (7 papers). Ping-Shun Chen is often cited by papers focused on Healthcare Operations and Scheduling Optimization (16 papers), Sustainable Supply Chain Management (8 papers) and Hospital Admissions and Outcomes (7 papers). Ping-Shun Chen collaborates with scholars based in Taiwan, China and Philippines. Ping-Shun Chen's co-authors include Zhiyang Zeng, Tsai‐Chi Kuo, Chun‐Ying Huang, John J. Liu, Dah-Chuan Gong, Chia Wei Hsu, Hsiao-Min Chen, Ming‐Lang Tseng, Chih Hung Lin and Ling‐Huey Su and has published in prestigious journals such as Renewable and Sustainable Energy Reviews, Journal of Cleaner Production and IEEE Access.

In The Last Decade

Ping-Shun Chen

40 papers receiving 757 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Ping-Shun Chen 460 239 181 126 125 44 779
Filippo Visintin 265 0.6× 364 1.5× 152 0.8× 79 0.6× 224 1.8× 41 832
Ana Muriel 228 0.5× 115 0.5× 429 2.4× 86 0.7× 70 0.6× 22 661
Vinayak Deshpande 392 0.9× 280 1.2× 671 3.7× 201 1.6× 52 0.4× 44 1.2k
Elif Akçalı 826 1.8× 132 0.6× 567 3.1× 134 1.1× 45 0.4× 26 1.1k
Refık Güllü 368 0.8× 129 0.5× 598 3.3× 136 1.1× 34 0.3× 44 765
Uday S. Rao 284 0.6× 86 0.4× 546 3.0× 131 1.0× 125 1.0× 39 867
Chester Chambers 282 0.6× 106 0.4× 314 1.7× 106 0.8× 33 0.3× 21 689
Zied Jemaï 131 0.3× 39 0.2× 232 1.3× 153 1.2× 117 0.9× 31 595
Vernon Ning Hsu 443 1.0× 138 0.6× 681 3.8× 113 0.9× 67 0.5× 46 1.1k
Miguel Ortíz‐Barrios 183 0.4× 42 0.2× 82 0.5× 227 1.8× 87 0.7× 48 688

Countries citing papers authored by Ping-Shun Chen

Since Specialization
Citations

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

Fields of papers citing papers by Ping-Shun Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ping-Shun Chen. 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 Ping-Shun Chen. The network helps show where Ping-Shun Chen may publish in the future.

Co-authorship network of co-authors of Ping-Shun Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Ping-Shun Chen. A scholar is included among the top collaborators of Ping-Shun Chen 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 Ping-Shun Chen. Ping-Shun Chen 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.
Chen, Ping-Shun, et al.. (2025). Using sample average approximation with Monte Carlo simulation to solve the stochastic outpatient appointment scheduling problem. Communications in Statistics - Simulation and Computation. 1–18. 1 indexed citations
2.
Lai, Chin‐Hui, et al.. (2024). Using data-driven techniques to predict outpatient ultrasound examination time for the multi-clinic outpatient appointment scheduling problem. Communications in Statistics - Simulation and Computation. 1–19.
3.
Chen, Ping-Shun, et al.. (2024). Constructing modified variable neighborhood search approaches to solve a nurse scheduling problem. International Journal of Production Research. 62(19). 7186–7204.
4.
Chen, Ping-Shun, et al.. (2023). Developing a prototype system of computer-aided appointment scheduling: A radiology department case study. Technology and Health Care. 32(2). 997–1013. 2 indexed citations
5.
Chen, Ping-Shun, et al.. (2023). Patient Unpunctuality’s Effect on Appointment Scheduling: A Scenario-Based Analysis. Healthcare. 11(2). 231–231. 2 indexed citations
6.
Chen, Ping-Shun, et al.. (2022). Closed-loop supply chain inventory model in the pharmaceutical industry toward a circular economy. Journal of Cleaner Production. 383. 135474–135474. 45 indexed citations
7.
Lai, Chin‐Hui, et al.. (2022). Applying Simulation Optimization to Minimize Drug Inventory Costs: A Study of a Case Outpatient Pharmacy. Healthcare. 10(3). 556–556. 4 indexed citations
8.
Chen, Ping-Shun, et al.. (2022). Using the Six Sigma DMAIC Method to Improve Procurement: A Case Study. Engineering Management Journal. 35(1). 70–83. 4 indexed citations
9.
Chen, Ping-Shun, et al.. (2020). Applying Heuristic Algorithms to Solve Inter-hospital Hierarchical Allocation and Scheduling Problems of Medical Staff. International Journal of Computational Intelligence Systems. 13(1). 318–318. 5 indexed citations
10.
Kuo, Yu‐Ting, et al.. (2020). Solving patient referral problems by using bat algorithm. Technology and Health Care. 28(1_suppl). 433–442. 8 indexed citations
11.
Chen, Ping-Shun, et al.. (2020). Taiwan depository receipts forecasting along a novel regular Markov chain model. Journal of the Chinese Institute of Engineers. 43(5). 458–466. 4 indexed citations
12.
Chen, Ping-Shun, et al.. (2020). A Survey of Critical Success Factors in the Implementation of Reverse Logistics in Taiwan’s Optoelectronic Industry. IEEE Access. 8. 193890–193897. 1 indexed citations
13.
Gong, Dah-Chuan, et al.. (2019). Supply chain network design with multi-time-period stochastic demands for optimizing dual objectives on economic and environmental factors. Journal of the Chinese Institute of Engineers. 43(1). 93–100. 3 indexed citations
14.
Chen, Ping-Shun, et al.. (2018). Dynamic configuration scheduling problem for stochastic medical resources. Journal of Biomedical Informatics. 80. 96–105. 28 indexed citations
15.
Chen, Ping-Shun, et al.. (2017). Development of simulation optimization methods for solving patient referral problems in the hospital-collaboration environment. Journal of Biomedical Informatics. 73. 148–158. 18 indexed citations
16.
Chen, Ping-Shun, et al.. (2016). Analysis of queueing systems in collaborative imaging centers: A patient-referring mechanism. Journal of Statistics and Management Systems. 19(5). 721–737. 2 indexed citations
17.
Chen, Ping-Shun, et al.. (2015). Applying Task-Technology Fit Model to the Healthcare Sector: a Case Study of Hospitals’ Computed Tomography Patient-Referral Mechanism. Journal of Medical Systems. 39(8). 80–80. 12 indexed citations
18.
Chen, Ping-Shun, et al.. (2015). Patient referral mechanisms by using simulation optimization. Simulation Modelling Practice and Theory. 61. 14–27. 18 indexed citations
19.
Kuo, Tsai‐Chi, et al.. (2012). A collaborative model for controlling the green supply network in the motorcycle industry. Advanced Engineering Informatics. 26(4). 941–950. 18 indexed citations
20.
Chen, Ping-Shun, et al.. (2011). Evolutionary strategy to apply information and communication technology: a case study in the apparel industry. Production Planning & Control. 22(3). 282–297. 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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