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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:

How to make causal inferences using texts
Naoki Egami, Christian Fong, Justin Grimmer, et al.
Science Advances (2022) Vol. 8, Iss. 42
Open Access | Times Cited: 80

Showing 1-25 of 80 citing articles:

Text and Causal Inference: A Review of Using Text to Remove Confounding from Causal Estimates
Katherine A. Keith, David Jensen, Brendan O’Connor
(2020)
Open Access | Times Cited: 98
Handbook of Computational Social Science for Policy
Zhijing Jin, Rada Mihalcea
Springer eBooks (2023)
Closed Access | Times Cited: 22
Using natural language processing to analyse text data in behavioural science
Stefan Feuerriegel, Abdurahman Maarouf, Dominik Bär, et al.
Nature Reviews Psychology (2025)
Closed Access | Times Cited: 1
Deconfounded Lexicon Induction for Interpretable Social Science
Reid Pryzant, Kelly Shen, Dan Jurafsky, et al.
(2018)
Open Access | Times Cited: 68
Challenges of Using Text Classifiers for Causal Inference
Zach Wood-Doughty, Ilya Shpitser, Mark Dredze
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2018)
Open Access | Times Cited: 66
What is Your Estimand? Defining the Target Quantity Connects Statistical Evidence to Theory
Ian Lundberg, Rebecca Johnson, Brandon Stewart
(2020)
Open Access | Times Cited: 58
Unsupervised Discovery of Implicit Gender Bias
Anjalie Field, Yulia Tsvetkov
(2020)
Open Access | Times Cited: 44
Estimating textual treatment effect via causal disentangled representation learning
Zhengguo Yang, Bo Shen
The Journal of Supercomputing (2025) Vol. 81, Iss. 2
Closed Access
The Ethics of Generative AI in Social Science Research: A Qualitative Approach for Institutionally Grounded AI Research Ethics
June Jeon, Lanu Kim, Jaehyuk Park
Technology in Society (2025), pp. 102836-102836
Closed Access
Text as Treatment from Financial Reports: Effects of Natural Hazard Risk on Firm Profitability Using Causal Machine Learning
Minh Tho Nguyen, Ting-Tsen Ye, Yuanzhang Xiao, et al.
(2025)
Closed Access
Uncovering Latent Biases in Text: Method and Application to Peer Review
Emaad Manzoor, Nihar B. Shah
Proceedings of the AAAI Conference on Artificial Intelligence (2021) Vol. 35, Iss. 6, pp. 4767-4775
Open Access | Times Cited: 26
Everything Has a Cause: Leveraging Causal Inference in Legal Text Analysis
Xiao Liu, Da Yin, Yansong Feng, et al.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (2021), pp. 1928-1941
Open Access | Times Cited: 25
Causal Effects of Linguistic Properties
Reid Pryzant, Dallas Card, Dan Jurafsky, et al.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (2021)
Open Access | Times Cited: 24
Racialized Discourse in Seattle Rental Ad Texts
Ian Kennedy, Chris Hess, Amandalynne Paullada, et al.
Social Forces (2020) Vol. 99, Iss. 4, pp. 1432-1456
Open Access | Times Cited: 25
On the Estimation of Treatment Effect with Text Covariates
Liuyi Yao, Sheng Li, Yaliang Li, et al.
(2019), pp. 4106-4113
Open Access | Times Cited: 23
Causal Network Motifs: Identifying Heterogeneous Spillover Effects in A/B Tests
Yuan Yuan, Kristen Altenburger, Farshad Kooti
(2021), pp. 3359-3370
Open Access | Times Cited: 19
Causal Direction of Data Collection Matters: Implications of Causal and Anticausal Learning for NLP
Zhijing Jin, Julius von Kügelgen, Jingwei Ni, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2021)
Open Access | Times Cited: 19
Tracing thick and thin concepts through corpora
Kevin Reuter, Lucien Baumgartner, Pascale Willemsen
Language and Cognition (2023) Vol. 16, Iss. 2, pp. 263-282
Open Access | Times Cited: 7
Causal inference with latent outcomes
Lukas F. Stoetzer, Xiang Zhou, Marco R. Steenbergen
American Journal of Political Science (2024)
Open Access | Times Cited: 2
Interpretable Neural Architectures for Attributing an Ad’s Performance to its Writing Style
Reid Pryzant, Sugato Basu, Kazoo Sone
(2018), pp. 125-135
Open Access | Times Cited: 22
Detecting Attackable Sentences in Arguments
Yohan Jo, Seojin Bang, Emaad Manzoor, et al.
(2020), pp. 1-23
Open Access | Times Cited: 19
Adjusting for Confounders with Text: Challenges and an Empirical Evaluation Framework for Causal Inference
Galen Weld, Peter West, Maria Glenski, et al.
Proceedings of the International AAAI Conference on Web and Social Media (2022) Vol. 16, pp. 1109-1120
Open Access | Times Cited: 12
Quantifying the Causal Effects of Conversational Tendencies
Justine Zhang, Sendhil Mullainathan, Cristian Danescu-Niculescu-Mizil
Proceedings of the ACM on Human-Computer Interaction (2020) Vol. 4, Iss. CSCW2, pp. 1-24
Open Access | Times Cited: 16
Sustainable Finance Literacy and the Determinants of Sustainable Investing
Massimo Filippini, Markus Leippold, Tobias Wekhof
SSRN Electronic Journal (2021)
Open Access | Times Cited: 13
Linguistic, cultural, and narrative capital: computational and human readings of transfer admissions essays
AJ Alvero, Jasmine Pal, Katelyn M. Moussavian
Journal of Computational Social Science (2022) Vol. 5, Iss. 2, pp. 1709-1734
Open Access | Times Cited: 9
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