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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

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Showing 1-25 of 28 citing articles:

Distributionally Robust Optimization: A review on theory and applications
Fengming Lin, Xiaolei Fang, Zheming Gao
Numerical Algebra Control and Optimization (2021) Vol. 12, Iss. 1, pp. 159-159
Open Access | Times Cited: 65
Wasserstein Distributionally Robust Optimization and Variation Regularization
Rui Gao, Xi Chen, Anton J. Kleywegt
Operations Research (2022) Vol. 72, Iss. 3, pp. 1177-1191
Open Access | Times Cited: 41
Residuals-based distributionally robust optimization with covariate information
Rohit Kannan, Güzi̇n Bayraksan, James Luedtke
Mathematical Programming (2023) Vol. 207, Iss. 1-2, pp. 369-425
Closed Access | Times Cited: 22
Optimal Robust Policy for Feature-Based Newsvendor
Luhao Zhang, Jincheng Yang, Rui Gao
Management Science (2023) Vol. 70, Iss. 4, pp. 2315-2329
Closed Access | Times Cited: 21
Distributionally robust optimal power flow based on multi‐transport hyperrectangle ambiguity set
Wenmin Ou, Peijie Li, Zonglong Weng, et al.
IET Generation Transmission & Distribution (2025) Vol. 19, Iss. 1
Open Access
First-Order Conditions for Optimization in the Wasserstein Space
Nicolas Lanzetti, Saverio Bolognani, Florian Dörfler
SIAM Journal on Mathematics of Data Science (2025) Vol. 7, Iss. 1, pp. 274-300
Open Access
Target-oriented robust satisficing models for the single machine scheduling problems with release time
Xun Zhang, Du Chen
Computers & Operations Research (2024) Vol. 167, pp. 106642-106642
Closed Access | Times Cited: 3
The Analytics of Robust Satisficing: Predict, Optimize, Satisfice, Then Fortify
Melvyn Sim, Qinshen Tang, Minglong Zhou, et al.
Operations Research (2024)
Closed Access | Times Cited: 3
High-Confidence Data-Driven Ambiguity Sets for Time-Varying Linear Systems
Dimitris Boskos, Jorge Cortés, Sònia Martínez
IEEE Transactions on Automatic Control (2023) Vol. 69, Iss. 2, pp. 797-812
Open Access | Times Cited: 9
Distributionally robust stochastic programs with side information based on trimmings
Adrián Esteban-Pérez, Juan M. Morales
Mathematical Programming (2021) Vol. 195, Iss. 1-2, pp. 1069-1105
Open Access | Times Cited: 20
Statistical Analysis of Wasserstein Distributionally Robust Estimators
José Blanchet, Karthyek Murthy, Viet Anh Nguyen
(2021), pp. 227-254
Open Access | Times Cited: 15
A General Framework for Optimal Data-Driven Optimization
Tobias Sutter, Bart Van Parys, Daniel Kühn
arXiv (Cornell University) (2021)
Closed Access | Times Cited: 13
The Analytics of Robust Satisficing
Melvyn Sim, Qinshen Tang, Minglong Zhou, et al.
SSRN Electronic Journal (2021)
Closed Access | Times Cited: 13
Wasserstein distributionally robust learning for predicting the cycle time of printed circuit board production
Feng Liu, Ying‐Jie Lu, Debiao Li, et al.
Computers in Industry (2024) Vol. 164, pp. 104213-104213
Open Access | Times Cited: 1
A Decision Rule Approach for Two-Stage Data-Driven Distributionally Robust Optimization Problems with Random Recourse
Xiangyi Fan, Grani A. Hanasusanto
INFORMS journal on computing (2023) Vol. 36, Iss. 2, pp. 526-542
Open Access | Times Cited: 3
A study of distributionally robust mixed-integer programming with Wasserstein metric: on the value of incomplete data
Sergey S. Ketkov
European Journal of Operational Research (2023) Vol. 313, Iss. 2, pp. 602-615
Closed Access | Times Cited: 2
A distributionally robust optimization approach for a stochastic mobile facility routing and scheduling problem
Karmel S. Shehadeh
arXiv (Cornell University) (2020)
Closed Access | Times Cited: 5
Wasserstein-Distance Distributionally Robust Optimization
Rui Xie, Wei Wei
(2024), pp. 213-271
Closed Access
Multi-stage distributionally robust convex stochastic optimization with Bayesian-type ambiguity sets
Wentao Ma, Zhiping Chen
Mathematical Methods of Operations Research (2024) Vol. 100, Iss. 2, pp. 553-600
Closed Access
Reformulation and Enhancement of Distributed Robust Optimization Framework Incorporating Decision-Adaptive Uncertainty Sets
Jie Zhang, Shuang Lin, Yifei Wang
Axioms (2024) Vol. 13, Iss. 10, pp. 699-699
Open Access
Robustness assessment of climate policies towards carbon neutrality: A DRO-IAMS approach
Guiyu Li, Hongbo Duan
Computers & Operations Research (2024), pp. 106879-106879
Closed Access
Nonlinear distributionally robust optimization
Mohammed Rayyan Sheriff, Peyman Mohajerin Esfahani
Mathematical Programming (2024)
Closed Access
Complexity-Free Generalization via Distributionally Robust Optimization.
Henry Lam, Yibo Zeng
arXiv (Cornell University) (2021)
Closed Access | Times Cited: 3
Uncertain uncertainty in data-driven stochastic optimization: towards structured ambiguity sets
Lotfi M. Chaouach, Dimitris Boskos, Tom Oomen
2022 IEEE 61st Conference on Decision and Control (CDC) (2022), pp. 4776-4781
Open Access | Times Cited: 2
Robust Explainable Prescriptive Analytics
Li Chen, Melvyn Sim, Xun Zhang, et al.
SSRN Electronic Journal (2022)
Closed Access | Times Cited: 1
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