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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.

Requested Article:

Metalearners for estimating heterogeneous treatment effects using machine learning
Sören R. Künzel, Jasjeet S. Sekhon, Peter J. Bickel, et al.
Proceedings of the National Academy of Sciences (2019) Vol. 116, Iss. 10, pp. 4156-4165
Open Access | Times Cited: 676

Showing 1-25 of 676 citing articles:

Estimating Treatment Effects with Causal Forests: An Application
Susan Athey, Stefan Wager
Observational Studies (2019) Vol. 5, Iss. 2, pp. 37-51
Open Access | Times Cited: 342
Quasi-oracle estimation of heterogeneous treatment effects
Ximing Nie, Stefan Wager
Biometrika (2020) Vol. 108, Iss. 2, pp. 299-319
Open Access | Times Cited: 339
A Survey on Causal Inference
Liuyi Yao, Zhixuan Chu, Sheng Li, et al.
ACM Transactions on Knowledge Discovery from Data (2021) Vol. 15, Iss. 5, pp. 1-46
Open Access | Times Cited: 300
The Predictive Approaches to Treatment effect Heterogeneity (PATH) Statement
David M. Kent, Jessica K. Paulus, David van Klaveren, et al.
Annals of Internal Medicine (2019) Vol. 172, Iss. 1, pp. 35-35
Open Access | Times Cited: 288
Bayesian Regression Tree Models for Causal Inference: Regularization, Confounding, and Heterogeneous Effects (with Discussion)
P. Richard Hahn, Jared S. Murray, Carlos M. Carvalho
Bayesian Analysis (2020) Vol. 15, Iss. 3
Open Access | Times Cited: 231
Machine Learning for Social Science: An Agnostic Approach
Justin Grimmer, Margaret E. Roberts, Brandon Stewart
Annual Review of Political Science (2021) Vol. 24, Iss. 1, pp. 395-419
Open Access | Times Cited: 212
Machine Learning in Epidemiology and Health Outcomes Research
Timothy L. Wiemken, Robert Kelley
Annual Review of Public Health (2019) Vol. 41, Iss. 1, pp. 21-36
Open Access | Times Cited: 176
Does Conjoint Analysis Mitigate Social Desirability Bias?
Yusaku Horiuchi, Zachary Markovich, Teppei Yamamoto
Political Analysis (2021) Vol. 30, Iss. 4, pp. 535-549
Closed Access | Times Cited: 168
A Practical Guide to Counterfactual Estimators for Causal Inference with Time‐Series Cross‐Sectional Data
Licheng Liu, Ye Wang, Yiqing Xu
American Journal of Political Science (2022) Vol. 68, Iss. 1, pp. 160-176
Open Access | Times Cited: 151
Methods and tools for causal discovery and causal inference
Ana Rita Nogueira, Andrea Pugnana, Salvatore Ruggieri, et al.
Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery (2022) Vol. 12, Iss. 2
Open Access | Times Cited: 105
Causal machine learning for healthcare and precision medicine
Pedro Sanchez, Jeremy P. Voisey, Tian Xia, et al.
Royal Society Open Science (2022) Vol. 9, Iss. 8
Open Access | Times Cited: 90
A manifesto for applying behavioural science
Michael Hallsworth
Nature Human Behaviour (2023) Vol. 7, Iss. 3, pp. 310-322
Open Access | Times Cited: 89
Causal Inference About the Effects of Interventions From Observational Studies in Medical Journals
Issa J Dahabreh, Kirsten Bibbins‐Domingo
JAMA (2024) Vol. 331, Iss. 21, pp. 1845-1845
Closed Access | Times Cited: 60
Estimating heterogeneous treatment effects with right-censored data via causal survival forests
Yifan Cui, Michael R. Kosorok, Erik Sverdrup, et al.
Journal of the Royal Statistical Society Series B (Statistical Methodology) (2023) Vol. 85, Iss. 2, pp. 179-211
Open Access | Times Cited: 48
Machine learning in precision diabetes care and cardiovascular risk prediction
Evangelos K. Oikonomou, Rohan Khera
Cardiovascular Diabetology (2023) Vol. 22, Iss. 1
Open Access | Times Cited: 47
Towards optimal doubly robust estimation of heterogeneous causal effects
Edward H. Kennedy
Electronic Journal of Statistics (2023) Vol. 17, Iss. 2
Open Access | Times Cited: 47
Causal machine learning for predicting treatment outcomes
Stefan Feuerriegel, Dennis Frauen, Valentyn Melnychuk, et al.
Nature Medicine (2024) Vol. 30, Iss. 4, pp. 958-968
Closed Access | Times Cited: 46
Causal Inference Methods for Combining Randomized Trials and Observational Studies: A Review
Bénédicte Colnet, Imke Mayer, Guanhua Chen, et al.
Statistical Science (2024) Vol. 39, Iss. 1
Open Access | Times Cited: 29
Heterogeneous treatment effects and optimal targeting policy evaluation
Günter J. Hitsch, Sanjog Misra, Walter W. Zhang
Quantitative Marketing and Economics (2024) Vol. 22, Iss. 2, pp. 115-168
Closed Access | Times Cited: 16
How well can a large language model explain business processes as perceived by users?
Dirk Fahland, Lior Limonad, Lior Limonad, et al.
Data & Knowledge Engineering (2025), pp. 102416-102416
Open Access | Times Cited: 2
Machine learning who to nudge: Causal vs predictive targeting in a field experiment on student financial aid renewal
Susan Athey, Niall Keleher, Jann Spiess
Journal of Econometrics (2025), pp. 105945-105945
Closed Access | Times Cited: 1
Predicting benefit from adjuvant therapy with corticosteroids in community-acquired pneumonia: a data-driven analysis of randomised trials
Jim M. Smit, Philip van der Zee, Sara C.M. Stoof, et al.
The Lancet Respiratory Medicine (2025)
Closed Access | Times Cited: 1
The Limitations of Post-Hoc Causal Interpretations: A Case for Shapley Methods in Social Sciences
Masahiro Asami
(2025)
Closed Access | Times Cited: 1
Modifying AI, Enhancing Essays: How Active Engagement with Generative AI Boosts Writing Quality
Kaixun Yang, Mladen Raković, Zhiping Liang, et al.
(2025), pp. 568-578
Open Access | Times Cited: 1
Bayesian regression tree models for causal inference: regularization, confounding, and heterogeneous effects
P. Richard Hahn, Jared S. Murray, Carlos M. Carvalho
arXiv (Cornell University) (2017)
Closed Access | Times Cited: 129
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