Michael C. Fu

10.5k total citations · 2 hit papers
263 papers, 6.5k citations indexed

About

Michael C. Fu is a scholar working on Management Science and Operations Research, Artificial Intelligence and Management Information Systems. According to data from OpenAlex, Michael C. Fu has authored 263 papers receiving a total of 6.5k indexed citations (citations by other indexed papers that have themselves been cited), including 118 papers in Management Science and Operations Research, 53 papers in Artificial Intelligence and 47 papers in Management Information Systems. Recurrent topics in Michael C. Fu's work include Simulation Techniques and Applications (81 papers), Advanced Queuing Theory Analysis (44 papers) and Stochastic processes and financial applications (38 papers). Michael C. Fu is often cited by papers focused on Simulation Techniques and Applications (81 papers), Advanced Queuing Theory Analysis (44 papers) and Stochastic processes and financial applications (38 papers). Michael C. Fu collaborates with scholars based in United States, China and South Korea. Michael C. Fu's co-authors include Steven I. Marcus, Jian-Qiang Hu, Jiaqiao Hu, Saul I. Gass, Chun‐Hung Chen, Hyeong Soo Chang, Yijie Peng, Donghai He, Loo Hay Lee and Fred Glover and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Automatic Control and Management Science.

In The Last Decade

Michael C. Fu

241 papers receiving 6.2k citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Feature Article: Optimization for simulation: Theory vs. Practice

2002 592 citations Michael C. Fu profile →
Handbook of Simulation Optimization

2014 302 citations Michael C. Fu profile →

Author Peers

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

Author						Papers	Cites
Michael C. Fu	3.0k	1.4k	1.2k	1.1k	1.1k	263	6.5k
Barry L. Nelson	4.3k 1.4×	1.0k 0.7×	779 0.7×	1.6k 1.5×	686 0.6×	275	6.3k
Andrzej Ruszczyński	4.7k 1.5×	728 0.5×	1.0k 0.9×	1.1k 1.0×	672 0.6×	120	7.9k
John R. Birge	3.1k 1.0×	1.7k 1.2×	2.2k 1.9×	744 0.7×	319 0.3×	199	10.6k
Averill M. Law	3.8k 1.2×	2.1k 1.5×	1.8k 1.5×	831 0.7×	557 0.5×	91	8.9k
Warren B. Powell	2.2k 0.7×	3.0k 2.1×	1.4k 1.2×	1.9k 1.7×	2.3k 2.0×	269	12.6k
Shabbir Ahmed	2.4k 0.8×	1.3k 0.9×	1.4k 1.1×	591 0.5×	258 0.2×	140	7.3k
Melvyn Sim	4.7k 1.5×	1.9k 1.3×	1.5k 1.2×	528 0.5×	234 0.2×	85	9.7k
Lee W. Schruben	2.5k 0.8×	784 0.6×	1.0k 0.9×	714 0.6×	298 0.3×	147	4.0k
Linus Schrage	1.2k 0.4×	1.9k 1.3×	1.5k 1.3×	502 0.4×	501 0.5×	58	5.3k
Matthias Ehrgott	1.8k 0.6×	1.7k 1.2×	296 0.2×	1.8k 1.6×	819 0.7×	140	6.9k

Countries citing papers authored by Michael C. Fu

Since Specialization

Citations

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

Fields of papers citing papers by Michael C. Fu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael C. Fu. 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 Michael C. Fu. The network helps show where Michael C. Fu may publish in the future.

Co-authorship network of co-authors of Michael C. Fu

This figure shows the co-authorship network connecting the top 25 collaborators of Michael C. Fu. A scholar is included among the top collaborators of Michael C. Fu 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 Michael C. Fu. Michael C. Fu 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

Fu, Michael C., Jiaqiao Hu, & Katya Scheinberg. (2025). Stochastic Gradients: Optimization, Simulation, Randomization, and Sensitivity Analysis. IISE Transactions. 58(2). 240–256. 1 indexed citations

Oeding, Jacob F., Amy Lu, Michael C. Fu, et al.. (2024). Effectiveness of a large language model for clinical information retrieval regarding shoulder arthroplasty. Journal of Experimental Orthopaedics. 11(4). e70114–e70114.

Marigi, Erick M., et al.. (2024). Arthroscopic superior capsular reconstruction with acellular human dermal allograft for irreparable rotator cuff tears: outcomes, complications, and reoperations at 2-year minimum follow-up. JSES International. 9(2). 385–389.

Hu, Jiaqiao, et al.. (2024). Simulation optimization of conditional value-at-risk. IISE Transactions. 57(10). 1167–1181.

Hu, Jiaqiao, et al.. (2024). Quantile Optimization via Multiple-Timescale Local Search for Black-Box Functions. Operations Research. 73(3). 1535–1557. 7 indexed citations

Fu, Michael C., et al.. (2024). Generalized likelihood ratio method for stochastic models with uniform random numbers as inputs. European Journal of Operational Research. 321(2). 493–502. 2 indexed citations

Hu, Jiaqiao & Michael C. Fu. (2024). Technical Note—On the Convergence Rate of Stochastic Approximation for Gradient-Based Stochastic Optimization. Operations Research. 73(2). 1143–1150. 7 indexed citations

Lam, Henry, et al.. (2023). Adaptive Importance Sampling for Efficient Stochastic Root Finding and Quantile Estimation. Operations Research. 72(6). 2612–2630. 3 indexed citations

Zhou, Yi, Michael C. Fu, & Ilya O. Ryzhov. (2023). Sequential Learning with a Similarity Selection Index. Operations Research. 72(6). 2526–2542. 1 indexed citations

10.

Presacco, Alessandro, et al.. (2020). Dynamic estimation of auditory temporal response functions via state-space models with Gaussian mixture process noise. PLoS Computational Biology. 16(8). e1008172–e1008172. 6 indexed citations

11.

Peng, Yijie, Chun‐Hung Chen, Edwin K. P. Chong, & Michael C. Fu. (2018). A review of static and dynamic optimization for ranking and selection. Winter Simulation Conference. 1909–1920. 3 indexed citations

12.

Peng, Yijie, Michael C. Fu, & Jian-Qiang Hu. (2016). On the regularity conditions and applications for generalized likelihood ratio method. Winter Simulation Conference. 919–930. 2 indexed citations

13.

Fu, Michael C., et al.. (2015). Optimal Army officer force profiles. Optimization Letters. 9(8). 1769–1785. 10 indexed citations

14.

Prashanth, L. A., et al.. (2015). Cumulative Prospect Theory Meets Reinforcement Learning: Prediction and Control. arXiv (Cornell University). 1406–1415. 25 indexed citations

15.

Fu, Michael C., et al.. (2015). Optimal importance sampling for simulation of lévy processes. Winter Simulation Conference. 3813–3824. 2 indexed citations

16.

Wang, Yongqiang, Michael C. Fu, & Steven I. Marcus. (2010). Model-based evolutionary optimization. Winter Simulation Conference. 1199–1210. 4 indexed citations

17.

Cao, Lingyan & Michael C. Fu. (2010). Estimating greeks for variance-gamma. Winter Simulation Conference. 2620–2628. 3 indexed citations

18.

Fu, Michael C., Chun‐Hung Chen, & Leyuan Shi. (2008). Some topics for simulation optimization. Winter Simulation Conference. 27–38. 37 indexed citations

19.

Fu, Michael C., et al.. (2007). Advances in Mathematical Finance. CERN Document Server (European Organization for Nuclear Research). 50 indexed citations

20.

Fu, Michael C. & E. William East. (1997). A Proposed Virtual Design Review Environment. 502–509. 3 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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