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:
A tutorial on open-source large language models for behavioral science
Z. Hussain, Marcel Binz, Rui Mata, et al.
Behavior Research Methods (2024) Vol. 56, Iss. 8, pp. 8214-8237
Open Access | Times Cited: 10
Z. Hussain, Marcel Binz, Rui Mata, et al.
Behavior Research Methods (2024) Vol. 56, Iss. 8, pp. 8214-8237
Open Access | Times Cited: 10
Showing 10 citing articles:
Using novel data and ensemble models to improve automated labeling of Sustainable Development Goals
Dirk U. Wulff, Dominik S. Meier, Rui Mata
Sustainability Science (2024) Vol. 19, Iss. 5, pp. 1773-1787
Open Access | Times Cited: 5
Dirk U. Wulff, Dominik S. Meier, Rui Mata
Sustainability Science (2024) Vol. 19, Iss. 5, pp. 1773-1787
Open Access | Times Cited: 5
Large language models can replicate cross-cultural differences in personality
Paweł Niszczota, Mateusz Janczak, Michał Misiak
Journal of Research in Personality (2025), pp. 104584-104584
Closed Access
Paweł Niszczota, Mateusz Janczak, Michał Misiak
Journal of Research in Personality (2025), pp. 104584-104584
Closed Access
Semantic Analysis of test items through Large Language Model embeddings predicts a-priori factorial structure of personality tests
Nicola Milano, Maria Luongo, Michela Ponticorvo, et al.
Current Research in Behavioral Sciences (2025), pp. 100168-100168
Open Access
Nicola Milano, Maria Luongo, Michela Ponticorvo, et al.
Current Research in Behavioral Sciences (2025), pp. 100168-100168
Open Access
SEMbeddings: how to evaluate model misfit before data collection using large-language models
Tommaso Feraco, Enrico Toffalini
Frontiers in Psychology (2025) Vol. 15
Open Access
Tommaso Feraco, Enrico Toffalini
Frontiers in Psychology (2025) Vol. 15
Open Access
AI can outperform humans in predicting correlations between personality items
Philipp Schoenegger, Spencer Greenberg, Alexander Grishin, et al.
Communications Psychology (2025) Vol. 3, Iss. 1
Open Access
Philipp Schoenegger, Spencer Greenberg, Alexander Grishin, et al.
Communications Psychology (2025) Vol. 3, Iss. 1
Open Access
Predicting MBTI personality of YouTube users
Luisa Stracqualursi, Patrizia Agati
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Luisa Stracqualursi, Patrizia Agati
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Semantic embeddings reveal and address taxonomic incommensurability in psychological measurement
Dirk U. Wulff, Rui Mata
Nature Human Behaviour (2025)
Open Access
Dirk U. Wulff, Rui Mata
Nature Human Behaviour (2025)
Open Access
Novel embeddings improve the prediction of risk perception
Z. Hussain, Rui Mata, Dirk U. Wulff
EPJ Data Science (2024) Vol. 13, Iss. 1
Open Access | Times Cited: 4
Z. Hussain, Rui Mata, Dirk U. Wulff
EPJ Data Science (2024) Vol. 13, Iss. 1
Open Access | Times Cited: 4
Reflections on AI-Augmented Professional Development in Special Education
Seth King
Advances in educational technologies and instructional design book series (2024), pp. 431-458
Closed Access | Times Cited: 1
Seth King
Advances in educational technologies and instructional design book series (2024), pp. 431-458
Closed Access | Times Cited: 1
A tentative roadmap for consensus building processes
Daniel Leising, Heinrich R. Liesefeld, Susanne Buecker, et al.
Personality Science (2024) Vol. 5
Open Access | Times Cited: 1
Daniel Leising, Heinrich R. Liesefeld, Susanne Buecker, et al.
Personality Science (2024) Vol. 5
Open Access | Times Cited: 1
