Pengyi Shi

906 total citations
35 papers, 585 citations indexed

About

Pengyi Shi is a scholar working on Emergency Medical Services, Emergency Medicine and Management Information Systems. According to data from OpenAlex, Pengyi Shi has authored 35 papers receiving a total of 585 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Emergency Medical Services, 13 papers in Emergency Medicine and 11 papers in Management Information Systems. Recurrent topics in Pengyi Shi's work include Healthcare Operations and Scheduling Optimization (25 papers), Advanced Queuing Theory Analysis (11 papers) and Emergency and Acute Care Studies (10 papers). Pengyi Shi is often cited by papers focused on Healthcare Operations and Scheduling Optimization (25 papers), Advanced Queuing Theory Analysis (11 papers) and Emergency and Acute Care Studies (10 papers). Pengyi Shi collaborates with scholars based in United States, China and Singapore. Pengyi Shi's co-authors include J. G. Dai, Franklin Dexter, Mabel C. Chou, Richard H. Epstein, Ding Ding, Julie Swann, Pınar Keskinocak, Bruce Y. Lee, Jonathan E. Helm and Jing Dong and has published in prestigious journals such as PLoS ONE, Management Science and Operations Research.

In The Last Decade

Pengyi Shi

30 papers receiving 567 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pengyi Shi United States 12 336 199 183 136 81 35 585
Jonathan E. Helm United States 16 285 0.8× 179 0.9× 223 1.2× 94 0.7× 12 0.1× 43 804
Nathan Proudlove United Kingdom 16 249 0.7× 210 1.1× 269 1.5× 216 1.6× 12 0.1× 66 1.0k
Mustafa Y. Sır United States 16 179 0.5× 117 0.6× 136 0.7× 67 0.5× 9 0.1× 66 752
Eugene Litvak United States 15 438 1.3× 520 2.6× 433 2.4× 79 0.6× 19 0.2× 24 1.3k
Carri W. Chan United States 19 441 1.3× 311 1.6× 298 1.6× 277 2.0× 8 0.1× 59 1.0k
Jan Schoenfelder Germany 12 294 0.9× 103 0.5× 294 1.6× 135 1.0× 19 0.2× 18 838
Francisco Epelde Spain 13 231 0.7× 153 0.8× 127 0.7× 33 0.2× 11 0.1× 72 624
Steven M. Shechter Canada 14 173 0.5× 96 0.5× 187 1.0× 103 0.8× 8 0.1× 40 833
Kumar Muthuraman United States 19 534 1.6× 316 1.6× 501 2.7× 165 1.2× 44 0.5× 47 1.1k
Kiok Liang Teow Singapore 11 183 0.5× 133 0.7× 143 0.8× 40 0.3× 13 0.2× 19 387

Countries citing papers authored by Pengyi Shi

Since Specialization
Citations

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

Fields of papers citing papers by Pengyi Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pengyi Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Pengyi Shi. A scholar is included among the top collaborators of Pengyi Shi 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 Pengyi Shi. Pengyi Shi 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.
Shi, Pengyi, et al.. (2024). Cumulative Difference Learning VAE for Time-Series with Temporally Correlated Inflow-Outflow. Proceedings of the AAAI Conference on Artificial Intelligence. 38(12). 13619–13627. 2 indexed citations
2.
Helm, Jonathan E., et al.. (2024). Delta Coverage: The Analytics Journey to Implement a Novel Nurse Deployment Program. RePEc: Research Papers in Economics. 54(5). 431–454. 2 indexed citations
3.
Shi, Pengyi, et al.. (2023). Interpretable machine learning models for hospital readmission prediction: a two-step extracted regression tree approach. BMC Medical Informatics and Decision Making. 23(1). 104–104. 7 indexed citations
4.
Liu, Xin, Bin Li, Pengyi Shi, & Lei Ying. (2022). A Constrained Bandit Approach for Online Dispatching. ACM SIGMETRICS Performance Evaluation Review. 49(2). 54–56.
5.
Shi, Pengyi, et al.. (2021). Operations (management) warp speed: Rapid deployment of hospital‐focused predictive/prescriptive analytics for the COVID‐19 pandemic. Production and Operations Management. 32(5). 1433–1452. 13 indexed citations
6.
7.
Dexter, Franklin, Richard H. Epstein, & Pengyi Shi. (2021). Proportions of Surgical Patients Discharged Home the Same or the Next Day Are Sufficient Data to Assess Cases’ Contributions to Hospital Occupancy. Cureus. 13(3). e13826–e13826. 9 indexed citations
8.
Dong, Jing, et al.. (2021). Optimal Routing under Demand Surges: The Value of Future Arrival Rates. SSRN Electronic Journal. 2 indexed citations
9.
Shi, Pengyi, Jonathan E. Helm, H. Sebastian Heese, & Alice M. Mitchell. (2020). An Operational Framework for the Adoption and Integration of New Diagnostic Tests. Production and Operations Management. 30(2). 330–354. 6 indexed citations
10.
Shi, Pengyi, et al.. (2020). The impact of opening dedicated clinics on disease transmission during an influenza pandemic. PLoS ONE. 15(8). e0236455–e0236455. 4 indexed citations
11.
12.
Dai, J. G. & Pengyi Shi. (2019). Recent Modeling and Analytical Advances in Hospital Inpatient Flow Management. Production and Operations Management. 30(6). 1838–1862. 14 indexed citations
13.
Shi, Pengyi, et al.. (2018). Timing it Right: Balancing Inpatient Congestion Versus Readmission Risk at Discharge. SSRN Electronic Journal. 5 indexed citations
14.
Shi, Pengyi, et al.. (2018). Steady‐state diffusion approximations for discrete‐time queue in hospital inpatient flow management. Naval Research Logistics (NRL). 65(1). 26–65. 5 indexed citations
15.
Dai, J. G. & Pengyi Shi. (2017). A Two-Time-Scale Approach to Time-Varying Queues in Hospital Inpatient Flow Management. Operations Research. 65(2). 514–536. 42 indexed citations
16.
Shi, Pengyi, Franklin Dexter, & Richard H. Epstein. (2016). Comparing Policies for Case Scheduling Within 1 Day of Surgery by Markov Chain Models. Anesthesia & Analgesia. 122(2). 526–538. 28 indexed citations
17.
Shi, Pengyi, et al.. (2015). Models and Insights for Hospital Inpatient Operations: Time-Dependent ED Boarding Time. Management Science. 62(1). 1–28. 145 indexed citations
18.
Dai, J. G. & Pengyi Shi. (2014). A Two-Time-Scale Approach to Time-Varying Queues for Hospital Inpatient Flow Management. SSRN Electronic Journal. 4 indexed citations
19.
Dexter, Franklin, Pengyi Shi, & Richard H. Epstein. (2012). Descriptive Study of Case Scheduling and Cancellations Within 1 Week of the Day of Surgery. Anesthesia & Analgesia. 115(5). 1188–1195. 52 indexed citations
20.
Shi, Pengyi, et al.. (2010). Modelling seasonality and viral mutation to predict the course of an influenza pandemic. Epidemiology and Infection. 138(10). 1472–1481. 28 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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