Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Predicting personality from patterns of behavior collected with smartphones
Clemens Stachl, Quay Au, Ramona Schoedel, et al.
Proceedings of the National Academy of Sciences (2020) Vol. 117, Iss. 30, pp. 17680-17687
Open Access | Times Cited: 254

Showing 1-25 of 254 citing articles:

Leveraging Artificial Intelligence in Marketing for Social Good—An Ethical Perspective
Erik Hermann
Journal of Business Ethics (2021) Vol. 179, Iss. 1, pp. 43-61
Open Access | Times Cited: 188
Descriptive, Predictive and Explanatory Personality Research: Different Goals, Different Approaches, but a Shared Need to Move beyond the Big Few Traits
René Mõttus, Dustin Wood, David Condon, et al.
European Journal of Personality (2020) Vol. 34, Iss. 6, pp. 1175-1201
Open Access | Times Cited: 185
Artificial intelligence and mass personalization of communication content—An ethical and literacy perspective
Erik Hermann
New Media & Society (2021) Vol. 24, Iss. 5, pp. 1258-1277
Closed Access | Times Cited: 111
Smartphone App Usage Analysis: Datasets, Methods, and Applications
Tong Li, Xia Tong, Huandong Wang, et al.
IEEE Communications Surveys & Tutorials (2022) Vol. 24, Iss. 2, pp. 937-966
Open Access | Times Cited: 99
General Pitfalls of Model-Agnostic Interpretation Methods for Machine Learning Models
Christoph Molnar, Gunnar König, Julia Herbinger, et al.
Lecture notes in computer science (2022), pp. 39-68
Open Access | Times Cited: 91
Best Practices in Supervised Machine Learning: A Tutorial for Psychologists
Florian Pargent, Ramona Schoedel, Clemens Stachl
Advances in Methods and Practices in Psychological Science (2023) Vol. 6, Iss. 3
Open Access | Times Cited: 54
Model-agnostic feature importance and effects with dependent features: a conditional subgroup approach
Christoph Molnar, Gunnar König, Bernd Bischl, et al.
Data Mining and Knowledge Discovery (2023) Vol. 38, Iss. 5, pp. 2903-2941
Open Access | Times Cited: 50
Artificial intelligence and consumer behavior: From predictive to generative AI
Erik Hermann, Stefano Puntoni
Journal of Business Research (2024) Vol. 180, pp. 114720-114720
Closed Access | Times Cited: 35
Predicting Depression From Smartphone Behavioral Markers Using Machine Learning Methods, Hyperparameter Optimization, and Feature Importance Analysis: Exploratory Study
Kennedy Opoku Asare, Yannik Terhorst, Julio Vega, et al.
JMIR mhealth and uhealth (2021) Vol. 9, Iss. 7, pp. e26540-e26540
Open Access | Times Cited: 99
Bottom-Up and Top-Down: Predicting Personality with Psycholinguistic and Language Model Features
Yash Mehta, Samin Fatehi, Amirmohammad Kazameini, et al.
2021 IEEE International Conference on Data Mining (ICDM) (2020)
Closed Access | Times Cited: 97
AI and the Future of Skills, Volume 1

Educational research and innovation (2021)
Open Access | Times Cited: 96
Ethical machines: The human-centric use of artificial intelligence
Bruno Lepri, Nuria Oliver, Alex Pentland
iScience (2021) Vol. 24, Iss. 3, pp. 102249-102249
Open Access | Times Cited: 85
The finer details? The predictability of life outcomes from Big Five domains, facets, and nuances
Ross David Stewart, René Mõttus, Anne Seeboth, et al.
Journal of Personality (2021) Vol. 90, Iss. 2, pp. 167-182
Open Access | Times Cited: 74
Personality computing: New frontiers in personality assessment
Le Vy Phan, John F. Rauthmann
Social and Personality Psychology Compass (2021) Vol. 15, Iss. 7
Open Access | Times Cited: 64
Attention-based BiLSTM models for personality recognition from user-generated content
Lixin Zhou, Zhenyu Zhang, Laijun Zhao, et al.
Information Sciences (2022) Vol. 596, pp. 460-471
Closed Access | Times Cited: 49
Relating the Partial Dependence Plot and Permutation Feature Importance to the Data Generating Process
Christoph Molnar, Timo Freiesleben, Gunnar König, et al.
Communications in computer and information science (2023), pp. 456-479
Open Access | Times Cited: 36
A Survey of Privacy Risks and Mitigation Strategies in the Artificial Intelligence Life Cycle
Sakib Shahriar, Sonal Allana, Seyed Mehdi Hazratifard, et al.
IEEE Access (2023) Vol. 11, pp. 61829-61854
Open Access | Times Cited: 36
Data Is What Data Does: Regulating Use, Harm, and Risk Instead of Sensitive Data
Daniel J. Solove
SSRN Electronic Journal (2023)
Open Access | Times Cited: 27
Personalized mood prediction from patterns of behavior collected with smartphones
Brunilda Balliu, Chris Douglas, Darsol Seok, et al.
npj Digital Medicine (2024) Vol. 7, Iss. 1
Open Access | Times Cited: 10
Testing the Efficacy of a Multicomponent, Self-Guided, Smartphone-Based Meditation App: Three-Armed Randomized Controlled Trial
Simon B. Goldberg, Ted Imhoff‐Smith, Daniel M. Bolt, et al.
JMIR Mental Health (2020) Vol. 7, Iss. 11, pp. e23825-e23825
Open Access | Times Cited: 68
Machine learning for the educational sciences
Sven Hilbert, Stefan Coors, Elisabeth Kraus, et al.
Review of Education (2021) Vol. 9, Iss. 3
Open Access | Times Cited: 51
The dynamics, processes, mechanisms, and functioning of personality: An overview of the field
Niclas Kuper, Nick Modersitzki, Le Vy Phan, et al.
British Journal of Psychology (2021) Vol. 112, Iss. 1, pp. 1-51
Open Access | Times Cited: 47
Depression predictions from GPS-based mobility do not generalize well to large demographically heterogeneous samples
Sandrine R. Müller, Xi Chen, Heinrich Peters, et al.
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 43
Grouped feature importance and combined features effect plot
Quay Au, Julia Herbinger, Clemens Stachl, et al.
Data Mining and Knowledge Discovery (2022) Vol. 36, Iss. 4, pp. 1401-1450
Open Access | Times Cited: 34
An In-depth Review of Conscientiousness and Educational Issues
Julia Spielmann, Heejun Roy Yoon, Mona Ayoub, et al.
Educational Psychology Review (2022) Vol. 34, Iss. 4, pp. 2745-2781
Closed Access | Times Cited: 34
Page 1 - Next Page

Scroll to top