2026 Michael C. Fu: Engineering and Technology Researcher – H-Index, Publications & Awards

D-Index & Metrics

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Engineering and Technology	52	3563	3412	1047	958	280	12569

Discipline name

D-Index

World Ranking

Current World Ranking

National Ranking

Current National Ranking

Publications

Citations

Engineering and Technology

3563

3412

1047

958

280

12569

Engineering and Technology

D-Index

Citations

12569

World Ranking

3563

National Ranking

1047

Research.com Recognitions

2007 - Fellow of the Institute for Operations Research and the Management Sciences (INFORMS)

Overview

Michael C. Fu is affiliated with the University of Maryland, College Park in the United States. Their research spans multiple fields with a focus on Medicine and Mathematics, supported by significant work in the subfields of Statistics and Probability, Management Science and Operations Research, Surgery, Artificial Intelligence, and Finance.

The scientist's research topics primarily include Statistical Methods and Inference, Shoulder Injury and Treatment, Markov Chains and Monte Carlo Methods, Shoulder and Clavicle Injuries, Simulation Techniques and Applications, Risk and Portfolio Optimization, and Reinforcement Learning in Robotics.

Michael C. Fu has contributed to various publication venues. The most frequent among these are:

arXiv (Cornell University)
Operations Research
Journal of Shoulder and Elbow Surgery
European Journal of Operational Research
INFORMS journal on computing

Selected recent papers include:

Maximum Likelihood Estimation by Monte Carlo Simulation: Toward Data-Driven Stochastic Modeling, 2020, Operations Research
An Optimal Computing Budget Allocation Tree Policy for Monte Carlo Tree Search, 2021, IEEE Transactions on Automatic Control
Predictive Modeling for Epidemic Outbreaks: A New Approach and COVID-19 Case Study, 2020, Asia Pacific Journal of Operational Research
Dynamic Sampling Allocation Under Finite Simulation Budget for Feasibility Determination, 2021, INFORMS journal on computing
Dynamic estimation of auditory temporal response functions via state-space models with Gaussian mixture process noise, 2020, PLoS Computational Biology

Collaborative work is evidenced by frequent co-authors including Lawrence V. Gulotta, Yijie Peng, Jiaqiao Hu, Joshua S. Dines, and David M. Dines.

Michael C. Fu was recognized as a Fellow of the Institute for Operations Research and the Management Sciences (INFORMS) in 2007.

Best Publications

Optimization for Simulation: Theory vs. Practice

Michael C. Fu

1261
Citations
Feature Article: Optimization for simulation: Theory vs. Practice

Michael C. Fu

986
Citations
OPTIMIZATION VIA SIMULATION: A REVIEW

Michael C. Fu

611
Citations
Simulation optimization: a review, new developments, and applications

Michael C. Fu;Fred W. Glover;Jay April

580
Citations
Handbook of Simulation Optimization

Michael C. Fu

386
Citations
Simulation-Based Algorithms for Markov Decision Processes

Hyeong Soo Chang;Jiaqiao Hu;Michael C. Fu;Steven I. Marcus

327
Citations
Efficient Simulation Budget Allocation for Selecting an Optimal Subset

Chun-Hung Chen;Donghai He;Michael C. Fu;Loo Hay Lee

294
Citations
ACM Transactions on Modeling and Computer Simulation: Guest Editorial

Michael Fu;Barry Nelson

273
Citations
Models for multi-echelon repairable item inventory systems with limited repair capacity

Angel Díaz;Michael C. Fu

266
Citations
Pricing Continuous Asian Options: A Comparison of Monte Carlo and Laplace Transform Inversion Methods

Michael C. Fu;Dilip B. Madan;Tong Wang;Robert H. Smith

265
Citations
Queueing theory in manufacturing: A survey

Manish K. Govil;Michael C. Fu

252
Citations
A Model Reference Adaptive Search Method for Global Optimization

Jiaqiao Hu;Michael C. Fu;Steven I. Marcus

246
Citations
Pricing American Options: A Comparison of Monte Carlo Simulation Approaches ⁄

Michael C. Fu;Scott B. Laprise;Dilip B. Madan;Yi Su

245
Citations
Conditional Monte Carlo

Michael Fu;Jian-Qiang Hu

214
Citations
Optimization of( s, S ) inventory systems with random lead times and a service level constraint

Sridhar Bashyam;Michael C. Fu

205
Citations
An Adaptive Sampling Algorithm for Solving Markov Decision Processes

Hyeong Soo Chang;Michael C. Fu;Jiaqiao Hu;Steven I. Marcus

190
Citations
Simulation optimization

Michael C. Fu

173
Citations
Optimal preventive maintenance scheduling in semiconductor manufacturing

Xiaodong Yao;E. Fernandez-Gaucherand;M.C. Fu;S.I. Marcus

167
Citations
Sensitivity Analysis for Monte Carlo Simulation of Option Pricing

Michael C. Fu;Jian-Qlang Hu

164
Citations
Sample Path Derivatives for (s, S) Inventory Systems

Michael C. Fu

147
Citations