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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:

Musical Preferences Predict Personality: Evidence From Active Listening and Facebook Likes
Gideon Nave, Juri Minxha, David M. Greenberg, et al.
Psychological Science (2018) Vol. 29, Iss. 7, pp. 1145-1158
Open Access | Times Cited: 202

Showing 1-25 of 202 citing articles:

A survey on personality-aware recommendation systems
Sahraoui Dhelim, Nyothiri Aung, Mohammed Amine Bouras, et al.
Artificial Intelligence Review (2021) Vol. 55, Iss. 3, pp. 2409-2454
Closed Access | Times Cited: 120
Personality Research and Assessment in the Era of Machine Learning
Clemens Stachl, Florian Pargent, Sven Hilbert, et al.
European Journal of Personality (2020) Vol. 34, Iss. 5, pp. 613-631
Open Access | Times Cited: 102
Can Psychological Traits Be Inferred From Spending? Evidence From Transaction Data
Joe J. Gladstone, Sandra Matz, Alain Lemaire
Psychological Science (2019) Vol. 30, Iss. 7, pp. 1087-1096
Open Access | Times Cited: 100
The Cambridge Handbook of Personality Psychology
Philip J. Corr, Philip J. Corr, Philip J. Corr, et al.
Cambridge University Press eBooks (2020)
Closed Access | Times Cited: 100
The golden age of social science
Anastasia Buyalskaya, Marcos Gallo, Colin F. Camerer
Proceedings of the National Academy of Sciences (2021) Vol. 118, Iss. 5
Open Access | Times Cited: 91
Predicting the replicability of social science lab experiments
Adam Altmejd, Anna Dreber, Eskil Forsell, et al.
PLoS ONE (2019) Vol. 14, Iss. 12, pp. e0225826-e0225826
Open Access | Times Cited: 77
“Just the Way You Are”: Linking Music Listening on Spotify and Personality
Ian Anderson, Santiago García-Gil, Clay Gibson, et al.
Social Psychological and Personality Science (2020) Vol. 12, Iss. 4, pp. 561-572
Closed Access | Times Cited: 71
Temperament and brain networks of attention
Michael I. Posner, Mary K. Rothbart
Philosophical Transactions of the Royal Society B Biological Sciences (2018) Vol. 373, Iss. 1744, pp. 20170254-20170254
Open Access | Times Cited: 81
Dynamic Unstructured Bargaining with Private Information: Theory, Experiment, and Outcome Prediction via Machine Learning
Colin F. Camerer, Gideon Nave, Alec Smith
Management Science (2018) Vol. 65, Iss. 4, pp. 1867-1890
Open Access | Times Cited: 68
Mastering the challenge of balancing self-disclosure and privacy in social media
Nicole C. Krämer, Johanna Schäwel
Current Opinion in Psychology (2019) Vol. 31, pp. 67-71
Closed Access | Times Cited: 66
Digital Phenotyping of Big Five Personality via Facebook Data Mining: A Meta-Analysis
Davide Marengo, Christian Montag
Digital Psychology (2020) Vol. 1, Iss. 1, pp. 52-64
Open Access | Times Cited: 56
The self-congruity effect of music.
David M. Greenberg, Sandra Matz, H. Andrew Schwartz, et al.
Journal of Personality and Social Psychology (2020) Vol. 121, Iss. 1, pp. 137-150
Closed Access | Times Cited: 55
Putting Psychology to the Test: Rethinking Model Evaluation Through Benchmarking and Prediction
Roberta Rocca, Tal Yarkoni
Advances in Methods and Practices in Psychological Science (2021) Vol. 4, Iss. 3
Open Access | Times Cited: 45
Rationales and functions of disliked music: An in-depth interview study
Taren-Ida Ackermann, Julia Merrill
PLoS ONE (2022) Vol. 17, Iss. 2, pp. e0263384-e0263384
Open Access | Times Cited: 34
Behavioral Patterns in Smartphone Usage Predict Big Five Personality Traits
Clemens Stachl, Quay Au, Ramona Schoedel, et al.
(2019)
Open Access | Times Cited: 49
Digital twins in human understanding: a deep learning-based method to recognize personality traits
Jianshan Sun, Zhiqiang Tian, Yelin Fu, et al.
International Journal of Computer Integrated Manufacturing (2020) Vol. 34, Iss. 7-8, pp. 860-873
Closed Access | Times Cited: 47
A comparison of instance-level counterfactual explanation algorithms for behavioral and textual data: SEDC, LIME-C and SHAP-C
Yanou Ramon, David Martens, Foster Provost, et al.
Advances in Data Analysis and Classification (2020) Vol. 14, Iss. 4, pp. 801-819
Open Access | Times Cited: 41
Dynamics of Musical Success: A Machine Learning Approach for Multimedia Data Fusion
Khaled Boughanmi, Asim Ansari
Journal of Marketing Research (2021) Vol. 58, Iss. 6, pp. 1034-1057
Closed Access | Times Cited: 36
Paralanguage Classifier (PARA): An Algorithm for Automatic Coding of Paralinguistic Nonverbal Parts of Speech in Text
Andrea Webb Luangrath, Yixiang Xu, Tong Wang
Journal of Marketing Research (2022) Vol. 60, Iss. 2, pp. 388-408
Closed Access | Times Cited: 26
Applying explainable artificial intelligence methods to models for diagnosing personal traits and cognitive abilities by social network data
A.S. Panfilova, Денис Турдаков
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 5
Preference or Choice? Relationships Among College Students’ Music Preference, Personality, Stress, and Music Consumption
Eugenia Hernández‐Ruiz, Mizuki Asano, Jihyeon Ryu, et al.
The Arts in Psychotherapy (2025), pp. 102291-102291
Closed Access
Personality Openness Predicts Driver Trust in Automated Driving
LI Wen-min, Nailang Yao, Yanwei Shi, et al.
Automotive Innovation (2020) Vol. 3, Iss. 1, pp. 3-13
Open Access | Times Cited: 33
Educational Psychology
Adar Ben‐Eliyahu, Moshe Zeidner
Cambridge University Press eBooks (2020), pp. 439-450
Closed Access | Times Cited: 32
Machine learning in recruiting: predicting personality from CVs and short text responses
Eric Grunenberg, Heinrich Peters, Matt James Francis, et al.
Frontiers in Social Psychology (2024) Vol. 1
Open Access | Times Cited: 4
Personality Research and Assessment in the Era of Machine Learning
Clemens Stachl, Florian Pargent, Sven Hilbert, et al.
(2019)
Open Access | Times Cited: 31
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