Ping-Shun Chen

1.2k total citations
47 papers, 858 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 47 papers receiving a total of 858 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Emergency Medical Services, 13 papers in Strategy and Management and 13 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 (9 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 (9 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 Wen-Tso Huang, Zhiyang Zeng, Tsai‐Chi Kuo, Chun‐Ying Huang, John J. Liu, Dah-Chuan Gong, Ming‐Lang Tseng, Hsiao-Min Chen, 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

43 papers receiving 827 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ping-Shun Chen Taiwan 13 489 249 207 153 140 47 858
Filippo Visintin Italy 16 287 0.6× 394 1.6× 165 0.8× 87 0.6× 237 1.7× 45 915
Ana Muriel United States 15 239 0.5× 120 0.5× 451 2.2× 96 0.6× 100 0.7× 23 723
Vinayak Deshpande United States 19 424 0.9× 293 1.2× 722 3.5× 224 1.5× 54 0.4× 49 1.3k
Elif Akçalı United States 16 859 1.8× 136 0.5× 596 2.9× 151 1.0× 50 0.4× 29 1.2k
Barış Ata United States 19 132 0.3× 178 0.7× 653 3.2× 198 1.3× 122 0.9× 44 1.0k
Refık Güllü Türkiye 18 394 0.8× 136 0.5× 635 3.1× 143 0.9× 37 0.3× 44 822
Uday S. Rao United States 18 293 0.6× 90 0.4× 584 2.8× 153 1.0× 179 1.3× 42 974
Chester Chambers United States 10 294 0.6× 110 0.4× 324 1.6× 111 0.7× 36 0.3× 21 726
Vernon Ning Hsu United States 18 463 0.9× 140 0.6× 723 3.5× 127 0.8× 78 0.6× 48 1.1k
Håkan Aronsson Sweden 9 353 0.7× 87 0.3× 327 1.6× 90 0.6× 66 0.5× 20 668

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. 2 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.. (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
4.
Chen, Ping-Shun, et al.. (2023). Literature review on pharmaceutical supply chain management development toward the circular economy. AIP conference proceedings. 2778. 40016–40016.
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.
Huang, Wen-Tso, et al.. (2022). The Dynamic Flow Shop Scheduling Problem with JIT Philosophy and Common Due Date. Mathematical Problems in Engineering. 2022. 1–12.
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. 6 indexed citations
8.
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. 48 indexed citations
9.
10.
Chen, Ping-Shun, et al.. (2021). Developing a hybrid data-fitting procedure and a case study for patient service time. Journal of the Chinese Institute of Engineers. 44(8). 751–761. 1 indexed citations
11.
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
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.
Chen, Ping-Shun, et al.. (2020). The Development of a Modified Design Chain Operations Reference Model in New Product Development of the Printed Circuit Board: A Case Study. Applied Sciences. 10(11). 3703–3703. 1 indexed citations
14.
15.
Huang, Wen-Tso, et al.. (2018). Dynamic configuration scheduling problem for stochastic medical resources. Journal of Biomedical Informatics. 80. 96–105. 30 indexed citations
16.
Kuo, Tsai‐Chi, et al.. (2017). Design and Analysis of Supply Chain Networks with Low Carbon Emissions. Computational Economics. 52(4). 1353–1374. 20 indexed citations
17.
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. 19 indexed citations
18.
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. 16 indexed citations
19.
Wee, Hui‐Ming, et al.. (2014). Innovative reservoir sediments reuse and design for sustainability of the hydroelectric power plants. Renewable and Sustainable Energy Reviews. 36. 212–219. 8 indexed citations
20.
Chen, Ping-Shun, et al.. (2011). The effects of GSCM drivers and institutional pressures on GSCM practices in Taiwan’s textile and apparel industry. International Journal of Production Economics. 135(2). 618–636. 315 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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