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:
Artificial Neural Networks for Short-Form Development of Psychometric Tests: A Study on Synthetic Populations Using Autoencoders
Monica Casella, Pasquale Dolce, Michela Ponticorvo, et al.
Educational and Psychological Measurement (2023) Vol. 84, Iss. 1, pp. 62-90
Closed Access | Times Cited: 6
Monica Casella, Pasquale Dolce, Michela Ponticorvo, et al.
Educational and Psychological Measurement (2023) Vol. 84, Iss. 1, pp. 62-90
Closed Access | Times Cited: 6
Showing 6 citing articles:
Artificial Neural Networks in Psychometrics Research
Monica Casella, Raffaella Esposito, Maria Luongo, et al.
(2025), pp. 93-98
Closed Access
Monica Casella, Raffaella Esposito, Maria Luongo, et al.
(2025), pp. 93-98
Closed Access
Differences in emotional expression among college students: a study on integrating psychometric methods and algorithm optimization
Xiaozhu Chen
BMC Psychology (2025) Vol. 13, Iss. 1
Open Access
Xiaozhu Chen
BMC Psychology (2025) Vol. 13, Iss. 1
Open Access
Exploring the Potential of Variational Autoencoders for Modeling Nonlinear Relationships in Psychological Data
Nicola Milano, Monica Casella, Raffaella Esposito, et al.
Behavioral Sciences (2024) Vol. 14, Iss. 7, pp. 527-527
Open Access | Times Cited: 1
Nicola Milano, Monica Casella, Raffaella Esposito, et al.
Behavioral Sciences (2024) Vol. 14, Iss. 7, pp. 527-527
Open Access | Times Cited: 1
Transformers deep learning models for missing data imputation: an application of the ReMasker model on a psychometric scale
Monica Casella, Nicola Milano, Pasquale Dolce, et al.
Frontiers in Psychology (2024) Vol. 15
Open Access | Times Cited: 1
Monica Casella, Nicola Milano, Pasquale Dolce, et al.
Frontiers in Psychology (2024) Vol. 15
Open Access | Times Cited: 1
Autoencoders as a Tool to Detect Nonlinear Relationships in Latent Variables Models
Raffaella Esposito, Monica Casella, Nicola Milano, et al.
2022 IEEE International Conference on Metrology for Extended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE) (2023), pp. 1012-1016
Closed Access | Times Cited: 3
Raffaella Esposito, Monica Casella, Nicola Milano, et al.
2022 IEEE International Conference on Metrology for Extended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE) (2023), pp. 1012-1016
Closed Access | Times Cited: 3
Exploring predictive clustering: A multi-step approach with finite mixture models and machine learning
Matteo Robba, Monica Casella, Paola Iannello, et al.
(2024)
Open Access
Matteo Robba, Monica Casella, Paola Iannello, et al.
(2024)
Open Access
