Jingshan Li

4.9k total citations
200 papers, 3.6k citations indexed

About

Jingshan Li is a scholar working on Industrial and Manufacturing Engineering, Management Information Systems and Emergency Medical Services. According to data from OpenAlex, Jingshan Li has authored 200 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 99 papers in Industrial and Manufacturing Engineering, 59 papers in Management Information Systems and 39 papers in Emergency Medical Services. Recurrent topics in Jingshan Li's work include Scheduling and Optimization Algorithms (76 papers), Advanced Queuing Theory Analysis (52 papers) and Healthcare Operations and Scheduling Optimization (39 papers). Jingshan Li is often cited by papers focused on Scheduling and Optimization Algorithms (76 papers), Advanced Queuing Theory Analysis (52 papers) and Healthcare Operations and Scheduling Optimization (39 papers). Jingshan Li collaborates with scholars based in United States, China and South Korea. Jingshan Li's co-authors include Ningjian Huang, Dennis E. Blumenfeld, Cong Zhao, Jeffrey M. Alden, Feng Ju, Semyon M. Meerkov, Junwen Wang, Stephan Biller, John A. Horst and Xiaolei Xie and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Transactions on Automatic Control.

In The Last Decade

Jingshan Li

195 papers receiving 3.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jingshan Li United States 32 2.0k 1.0k 475 306 286 200 3.6k
Ivo Adan Netherlands 28 913 0.5× 1.4k 1.4× 453 1.0× 689 2.3× 127 0.4× 213 2.9k
Jiafu Tang China 38 2.0k 1.0× 671 0.6× 406 0.9× 1.3k 4.3× 278 1.0× 289 5.1k
Xiaolan Xie France 36 2.7k 1.4× 1.8k 1.7× 1.2k 2.5× 828 2.7× 311 1.1× 274 5.7k
Randolph W. Hall United States 30 1.6k 0.8× 539 0.5× 238 0.5× 289 0.9× 109 0.4× 149 4.2k
Kai Yang United States 29 485 0.2× 473 0.5× 161 0.3× 306 1.0× 495 1.7× 125 2.9k
Yuehwern Yih United States 31 1.1k 0.6× 222 0.2× 461 1.0× 272 0.9× 70 0.2× 146 2.8k
Mark P. Van Oyen United States 27 709 0.4× 1.1k 1.0× 510 1.1× 367 1.2× 34 0.1× 91 2.4k
Vedat Verter Canada 35 788 0.4× 691 0.7× 194 0.4× 273 0.9× 322 1.1× 91 4.0k
Michael J. Magazine United States 29 1.8k 0.9× 1.7k 1.6× 211 0.4× 697 2.3× 60 0.2× 83 3.7k
Richard Y.K. Fung Hong Kong 33 1.4k 0.7× 688 0.7× 159 0.3× 1.2k 3.8× 294 1.0× 151 3.8k

Countries citing papers authored by Jingshan Li

Since Specialization
Citations

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

Fields of papers citing papers by Jingshan Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jingshan Li

This figure shows the co-authorship network connecting the top 25 collaborators of Jingshan Li. A scholar is included among the top collaborators of Jingshan Li 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 Jingshan Li. Jingshan Li 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.
Wang, Qing, et al.. (2024). Patient Flow Prediction-Based Energy Savings in Green Hospitals: A Simulation Study. IEEE Robotics and Automation Letters. 9(9). 7859–7866.
2.
Ma, Weizhi, Bin Sheng, Yang Liu, et al.. (2024). Evolution of Future Medical AI Models — From Task-Specific, Disease-Centric to Universal Health. NEJM AI. 1(8). 10 indexed citations
3.
Li, Jingshan, et al.. (2024). Impact of informal employment on individuals’ psychological well-being: microevidence from China. International Journal of Mental Health Systems. 18(1). 29–29. 2 indexed citations
4.
Li, Jingshan, et al.. (2024). CsLAC4, regulated by CsmiR397a, confers drought tolerance to the tea plant by enhancing lignin biosynthesis. SHILAP Revista de lepidopterología. 4(1). 50–50. 2 indexed citations
5.
Barreto, Erin F., et al.. (2023). Drug-drug interaction and acute kidney injury development: A correlation-based network analysis. PLoS ONE. 18(1). e0279928–e0279928. 15 indexed citations
6.
Li, Jingshan, et al.. (2023). Modeling and Analysis of Productivity and Energy in Serial Production Lines With Setups. IEEE Transactions on Automation Science and Engineering. 22. 18102–18117.
7.
Li, Jingshan, et al.. (2022). Energy and Productivity Analysis in Serial Production Lines With Setups. IEEE Robotics and Automation Letters. 7(3). 7108–7115. 7 indexed citations
8.
Smith, Maureen A., et al.. (2021). Reducing Fall-Related Revisits for Elderly Diabetes Patients in Emergency Departments: A Transition Flow Model. IEEE Robotics and Automation Letters. 6(3). 5642–5649. 1 indexed citations
9.
Lee, Hyo Kyung, et al.. (2021). Optimal Intervention Policies for Total Joint Replacement Postoperative Care Process. Manufacturing & Service Operations Management. 24(1). 617–631. 4 indexed citations
10.
Lee, Hyo Kyung, et al.. (2020). A prediction and interpretation framework of acute kidney injury in critical care. Journal of Biomedical Informatics. 113. 103653–103653. 27 indexed citations
11.
Lee, Hyo Kyung, et al.. (2018). A Queueing Network Model for Analysis of Patient Transitions Within Hospitals. IEEE Transactions on Automation Science and Engineering. 16(1). 6–20. 4 indexed citations
12.
Lee, Hyo Kyung, et al.. (2018). An Analytical Framework for TJR Readmission Prediction and Cost-Effective Intervention. IEEE Journal of Biomedical and Health Informatics. 23(4). 1760–1772. 25 indexed citations
13.
Zhong, Xiang, Hyo Kyung Lee, & Jingshan Li. (2017). From production systems to health care delivery systems: a retrospective look on similarities, difficulties and opportunities. International Journal of Production Research. 55(14). 4212–4227. 24 indexed citations
14.
Lee, Jun-Ho, Jingshan Li, & John A. Horst. (2017). Serial production lines with waiting time limits: Bernoulli reliability model. IEEE Transactions on Engineering Management. 65(2). 316–329. 14 indexed citations
15.
Lee, Hyo Kyung, et al.. (2017). Modeling and Analysis of Patient Transitions in Community Hospitals: A Systems Approach. IEEE Transactions on Systems Man and Cybernetics Systems. 50(2). 686–699. 7 indexed citations
16.
Zhao, Cong & Jingshan Li. (2015). Production Control of Door Manufacturing Line at an Automotive Assembly Plant. IFAC-PapersOnLine. 48(3). 1652–1657. 1 indexed citations
17.
18.
Li, Zheng, et al.. (2012). The robustness of scheduling policies in multi-product manufacturing systems with sequence-dependent setup times and finite buffers. Computers & Industrial Engineering. 63(4). 1145–1153. 29 indexed citations
19.
Feng, Wei, Zheng Li, & Jingshan Li. (2012). Scheduling policies in multi-product manufacturing systems with sequence-dependent setup times and finite buffers. International Journal of Production Research. 50(24). 7479–7492. 28 indexed citations
20.
Li, Jingshan. (2000). Production variability in manufacturing systems: A systems approach.. Deep Blue (University of Michigan). 7 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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