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:

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: 221

Showing 26-50 of 221 citing articles:

Misclassification in Automated Content Analysis Causes Bias in Regression. Can We Fix It? Yes We Can!
Nathan TeBlunthuis, Valerie Hase, Chung‐hong Chan
Communication Methods and Measures (2024) Vol. 18, Iss. 3, pp. 278-299
Open Access | Times Cited: 5

Battling COVID-19 using machine learning: A review
Krishnaraj Chadaga, Srikanth Prabhu, Vivekananda Bhat K, et al.
Cogent Engineering (2021) Vol. 8, Iss. 1
Open Access | Times Cited: 28

A Pragmatist’s Guide to Using Prediction in the Social Sciences
Mark D. Verhagen
Socius Sociological Research for a Dynamic World (2022) Vol. 8
Open Access | Times Cited: 22

When Survey Science Met Web Tracking: Presenting an Error Framework for Metered Data
Oriol J. Bosch, Mélanie Revilla
Journal of the Royal Statistical Society Series A (Statistics in Society) (2022) Vol. 185, Iss. Supplement_2, pp. S408-S436
Open Access | Times Cited: 22

Experimental Analysis of Methods Used to Solve Linear Regression Models
Mua’ad Abu-Faraj, Abeer Al-Hyari, Ziad Alqadi
Computers, materials & continua/Computers, materials & continua (Print) (2022) Vol. 72, Iss. 3, pp. 5699-5712
Open Access | Times Cited: 19

Unlocking society's standings in artificial intelligence
Anna-Мaria Kanzola, Konstantina Papaioannou, Panagiotis E. Petrakis
Technological Forecasting and Social Change (2023) Vol. 200, pp. 123106-123106
Open Access | Times Cited: 13

What is Data Science?
Koby Mike, Orit Hazzan
Communications of the ACM (2023) Vol. 66, Iss. 2, pp. 12-13
Open Access | Times Cited: 12

Technology acceptance prediction of robo-advisors by machine learning
Doohee Chung, Pilwon Jeong, Donghwan Kwon, et al.
Intelligent Systems with Applications (2023) Vol. 18, pp. 200197-200197
Open Access | Times Cited: 12

Editorial introduction: Towards a machinic anthropology
Morten Axel Pedersen
Big Data & Society (2023) Vol. 10, Iss. 1
Closed Access | Times Cited: 11

Language Models in Sociological Research: An Application to Classifying Large Administrative Data and Measuring Religiosity
Jeffrey L Jensen, Daniel Karell, Cole Tanigawa-Lau, et al.
Sociological Methodology (2021) Vol. 52, Iss. 1, pp. 30-52
Closed Access | Times Cited: 25

When Correlation Is Not Enough: Validating Populism Scores from Supervised Machine-Learning Models
Michael Jankowski, Robert Huber
Political Analysis (2023) Vol. 31, Iss. 4, pp. 591-605
Open Access | Times Cited: 10

A systematic review of Machine Learning and Deep Learning approaches in Mexico: challenges and opportunities
José Luis Uc Castillo, Ana Elizabeth Marín Celestino, Diego Armando Martínez Cruz, et al.
Frontiers in Artificial Intelligence (2025) Vol. 7
Open Access

Viewpoint detection on LGBT + reporting using contextual embeddings and qualitative thematic analysis: The use case on the word deep
Matej Martinc, Nina Perger, Senja Pollak
Bulletin of Sociological Methodology/Bulletin de Méthodologie Sociologique (2025)
Closed Access

Social and economic predictors of under-five stunting in Mexico: a comprehensive approach through the XGB model
Brian J. Fogarty, Angélica García-Martínez, Nitesh V. Chawla, et al.
Journal of Global Health (2025) Vol. 15
Open Access

Ethical aspects in machine learning: an agnostic approach
Tapan Rai
AI and Ethics (2025)
Closed Access

Affect, Not Ideology: The Heterogeneous Effects of Partisan Cues on Policy Support
Sam Fuller, Nicolás de la Cerda, Jack T. Rametta
Political Behavior (2025)
Open Access

Automated extraction of discourse networks from large volumes of media data
Mario Angst, Nicolas Müller, Viviane Walker
Network Science (2025) Vol. 13
Closed Access

Construction of Depression Prediction Model Based on Machine Learning and Its Interpretability
Juan Wang, Man Cui, Miao Deng, et al.
Science Discovery (2025) Vol. 13, Iss. 2, pp. 25-32
Open Access

Cybersecurity Intelligence Through Textual Data Analysis: A Framework Using Machine Learning and Terrorism Datasets
Mohammed Salem Atoum, Ala Abdulsalam Alarood, Eesa Alsolami, et al.
Future Internet (2025) Vol. 17, Iss. 4, pp. 182-182
Open Access

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