Yingdong Lu

973 total citations
65 papers, 653 citations indexed

About

Yingdong Lu is a scholar working on Management Information Systems, Computer Networks and Communications and Management Science and Operations Research. According to data from OpenAlex, Yingdong Lu has authored 65 papers receiving a total of 653 indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Management Information Systems, 19 papers in Computer Networks and Communications and 16 papers in Management Science and Operations Research. Recurrent topics in Yingdong Lu's work include Advanced Queuing Theory Analysis (31 papers), Supply Chain and Inventory Management (16 papers) and Scheduling and Optimization Algorithms (12 papers). Yingdong Lu is often cited by papers focused on Advanced Queuing Theory Analysis (31 papers), Supply Chain and Inventory Management (16 papers) and Scheduling and Optimization Algorithms (12 papers). Yingdong Lu collaborates with scholars based in United States, China and France. Yingdong Lu's co-authors include Jing-Sheng Song, David D. Yao, Mark S. Squillante, Mayank Sharma, Yao Zhao, David A. Goldberg, Ana Radovanović, Richard D. Lawrence, Martin Bichler and Jayant Kalagnanam and has published in prestigious journals such as IEEE Transactions on Automatic Control, European Journal of Operational Research and Operations Research.

In The Last Decade

Yingdong Lu

54 papers receiving 605 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yingdong Lu United States	12	479	199	145	131	124	65	653
Markus Ettl United States	14	462 1.0×	233 1.2×	149 1.0×	32 0.2×	170 1.4×	39	736
Shaohui Zheng Hong Kong	14	539 1.1×	137 0.7×	133 0.9×	41 0.3×	323 2.6×	34	707
Yehua Wei United States	15	560 1.2×	215 1.1×	134 0.9×	102 0.8×	475 3.8×	37	900
Bruno Vallespir France	16	308 0.6×	197 1.0×	72 0.5×	44 0.3×	90 0.7×	57	621
Pwpj Paul Grefen Netherlands	8	184 0.4×	104 0.5×	78 0.5×	31 0.2×	63 0.5×	33	397
Yaodong Ni China	14	132 0.3×	158 0.8×	260 1.8×	34 0.3×	141 1.1×	57	742
Young H. Chun United States	12	143 0.3×	94 0.5×	144 1.0×	75 0.6×	60 0.5×	46	481
Miao Song China	14	192 0.4×	130 0.7×	187 1.3×	62 0.5×	81 0.7×	34	668
J. S. K. Lau Hong Kong	9	426 0.9×	233 1.2×	193 1.3×	32 0.2×	256 2.1×	12	673
Alf Kimms Germany	15	526 1.1×	844 4.2×	250 1.7×	51 0.4×	87 0.7×	31	1.0k

Countries citing papers authored by Yingdong Lu

Since Specialization

Citations

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

Fields of papers citing papers by Yingdong Lu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yingdong Lu

This figure shows the co-authorship network connecting the top 25 collaborators of Yingdong Lu. A scholar is included among the top collaborators of Yingdong Lu 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 Yingdong Lu. Yingdong Lu 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

Lee, Won Kyung, Olha Ivanyshyn, Yingdong Lu, et al.. (2025). Fast Linear Solvers via AI-Tuned Markov Chain Monte Carlo-based Matrix Inversion. ArXiv.org. 1800–1807.

Ghosh, Soumyadip, Yingdong Lu, & Tomasz Nowicki. (2025). Hamiltonian Monte Carlo with asymmetrical momentum distributions. Physica D Nonlinear Phenomena. 483. 134952–134952.

Horesh, Lior, et al.. (2025). On the variance of Schatten p-norm estimation with Gaussian sketching matrices. Monte Carlo Methods and Applications. 31(2). 119–130.

Wang, Guozhong, et al.. (2025). MDKAG: Retrieval-Augmented Educational QA Powered by a Multimodal Disciplinary Knowledge Graph. Applied Sciences. 15(16). 9095–9095.

Lu, Yingdong, Mark S. Squillante, & Chai Wah Wu. (2019). A Family of Robust Stochastic Operators for Reinforcement Learning. Neural Information Processing Systems. 32. 15652–15662. 1 indexed citations

Lu, Yingdong, Mark S. Squillante, & Chai Wah Wu. (2019). A Control-Model-Based Approach for Reinforcement Learning.. arXiv (Cornell University). 2 indexed citations

Lu, Yingdong, et al.. (2018). An Optimal Scheduling Policy for the 2 X 2 Input-Queued Switch with Symmetric Arrival Rates. ACM SIGMETRICS Performance Evaluation Review. 45(3). 217–223. 1 indexed citations

Lu, Yingdong, et al.. (2018). Optimal Dynamic Control for Input-Queued Switches in Heavy Traffic. 3804–3809. 2 indexed citations

Pirenne, B., et al.. (2016). Integrated Land- and Underwater-Based Sensors for a Subduction Zone Earthquake Early Warning System. AGU Fall Meeting Abstracts. 2016. 1 indexed citations

10.

Goldberg, David A., et al.. (2016). Asymptotic Optimality of Constant-Order Policies for Lost Sales Inventory Models with Large Lead Times. Mathematics of Operations Research. 41(3). 898–913. 63 indexed citations

11.

Tan, Yue, Yingdong Lu, & Cathy H. Xia. (2012). Provisioning for large scale loss network systems with applications in cloud computing. ACM SIGMETRICS Performance Evaluation Review. 40(3). 83–85. 8 indexed citations

12.

Cheng, Feng, Markus Ettl, Yingdong Lu, & David D. Yao. (2012). A Production–Inventory Model for a Push–Pull Manufacturing System with Capacity and Service Level Constraints. Production and Operations Management. 21(4). 668–681. 17 indexed citations

13.

Lu, Yingdong. (2009). Asymptotic Estimation of Finite Horizon Ruin Probability for Random Walks with Heavy Tailed Increments ThroughCorrected Diffusion Approximations. International Journal of Applied Mathematics & Statistics. 14. 79–85. 1 indexed citations

14.

Zhang, Ling, Zhaopeng Liu, Hui Li, et al.. (2009). Synthesis and antibacterial activity of novel 3-O-carbamoyl derivatives of clarithromycin and 11,12-cyclic carbonate azithromycin. European Journal of Medicinal Chemistry. 45(3). 915–922. 10 indexed citations

15.

Lu, Yingdong. (2008). Approximating the Value Functions of Stochastic Knapsack Problems:A Homogeneous Monge-Ampere Equation and Its Stochastic Counterparts. 3. 1–11. 1 indexed citations

16.

Lu, Yingdong & Ana Radovanović. (2007). Asymptotic Blocking Probabilities in Loss Networks with Subexponential Demands. Journal of Applied Probability. 44(4). 1088–1102. 4 indexed citations

17.

Lu, Yingdong & Ana Radovanović. (2007). Asymptotic Blocking Probabilities in Loss Networks with Subexponential Demands. Journal of Applied Probability. 44(4). 1088–1102. 2 indexed citations

18.

Lin, Grace, Yingdong Lu, & D.D. Yao. (2007). The Stochastic Knapsack Revisited: Structure, Switch-Over Policies, and Dynamic Pricing.

19.

Lu, Yingdong, Ana Radovanović, & Mark S. Squillante. (2007). Optimal capacity planning in stochastic loss networks. ACM SIGMETRICS Performance Evaluation Review. 35(2). 39–41. 11 indexed citations

20.

Lu, Yingdong, et al.. (2001). Performance analysis of assemble-to-order systems through strong approximations. ACM SIGMETRICS Performance Evaluation Review. 29(3). 45–46.

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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