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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:

Using computer-vision and machine learning to automate facial coding of positive and negative affect intensity
Nathaniel Haines, Matthew W. Southward, Jennifer S. Cheavens, et al.
PLoS ONE (2019) Vol. 14, Iss. 2, pp. e0211735-e0211735
Open Access | Times Cited: 36

Showing 1-25 of 36 citing articles:

Interest point based face recognition using adaptive neuro fuzzy inference system
M R Rejeesh
Multimedia Tools and Applications (2019) Vol. 78, Iss. 16, pp. 22691-22710
Closed Access | Times Cited: 176
Enhancing mental health with Artificial Intelligence: Current trends and future prospects
David B. Olawade, Ojima Z. Wada, Aderonke Odetayo, et al.
Journal of Medicine Surgery and Public Health (2024) Vol. 3, pp. 100099-100099
Open Access | Times Cited: 89
Py-Feat: Python Facial Expression Analysis Toolbox
Jin Hyun Cheong, Eshin Jolly, Tiankang Xie, et al.
Affective Science (2023) Vol. 4, Iss. 4, pp. 781-796
Open Access | Times Cited: 59
Long-term ecological assessment of intracranial electrophysiology synchronized to behavioral markers in obsessive-compulsive disorder
Nicole R. Provenza, Sameer A. Sheth, Evan M. Dastin-van Rijn, et al.
Nature Medicine (2021) Vol. 27, Iss. 12, pp. 2154-2164
Open Access | Times Cited: 80
Read My Face: Automatic Facial Coding Versus Psychophysiological Indicators of Emotional Valence and Arousal
T. Tim A. Höfling, Antje B. M. Gerdes, Ulrich Föhl, et al.
Frontiers in Psychology (2020) Vol. 11
Open Access | Times Cited: 78
Machine learning for sperm selection
Jae Bem You, Christopher McCallum, Yihe Wang, et al.
Nature Reviews Urology (2021) Vol. 18, Iss. 7, pp. 387-403
Closed Access | Times Cited: 71
Application of Automated face coding (AFC) in older adults: a pilot study
Elena Mshael, Angela Stillhart, Cláudio Rodrigues Leles, et al.
Journal of Dentistry (2025) Vol. 153, pp. 105555-105555
Open Access
A Tutorial on the Use of Artificial Intelligence Tools for Facial Emotion Recognition in R
Austin Wyman, Zhiyong Zhang
Multivariate Behavioral Research (2025), pp. 1-15
Open Access
What’s in a face: Automatic facial coding of untrained study participants compared to standardized inventories
T. Tim A. Höfling, Georg W. Alpers, Björn Büdenbender, et al.
PLoS ONE (2022) Vol. 17, Iss. 3, pp. e0263863-e0263863
Open Access | Times Cited: 12
Classification of elderly pain severity from automated video clip facial action unit analysis: A study from a Thai data repository
Patama Gomutbutra, Adisak Kittisares, Atigorn Sanguansri, et al.
Frontiers in Artificial Intelligence (2022) Vol. 5
Open Access | Times Cited: 10
Discrimination between smiling faces: Human observers vs. automated face analysis
Mario Del Líbano, Manuel G. Calvo, Andrés Fernández-Martín, et al.
Acta Psychologica (2018) Vol. 187, pp. 19-29
Open Access | Times Cited: 18
Using automated computer vision and machine learning to code facial expressions of affect and arousal: Implications for emotion dysregulation research
Nathaniel Haines, Ziv Bell, Sheila E. Crowell, et al.
Development and Psychopathology (2019) Vol. 31, Iss. 3, pp. 871-886
Open Access | Times Cited: 17
Facial Expressions as an Index of Listening Difficulty and Emotional Response
Soumya Venkitakrishnan, Yu-Hsiang Wu
Seminars in Hearing (2023) Vol. 44, Iss. 02, pp. 166-187
Open Access | Times Cited: 4
Correlations Between Facial Expressivity and Apathy in Elderly People With Neurocognitive Disorders: Exploratory Study
Radia Zeghari, Alexandra König, Rachid Guerchouche, et al.
JMIR Formative Research (2021) Vol. 5, Iss. 3, pp. e24727-e24727
Open Access | Times Cited: 10
Novel Method for Three-Dimensional Facial Expression Recognition Using Self-Normalizing Neural Networks and Mobile Devices
Tim Hartmann, Julien Hartmann, U Friebe-Hoffmann, et al.
Geburtshilfe und Frauenheilkunde (2022) Vol. 82, Iss. 09, pp. 955-969
Open Access | Times Cited: 6
Machine Learning Human Behavior Detection Mechanism Based on Python Architecture
Zhu Jinnuo, S. B. Goyal, Chaman Verma, et al.
Mathematics (2022) Vol. 10, Iss. 17, pp. 3159-3159
Open Access | Times Cited: 6
Negative Affect Induces Rapid Learning of Counterfactual Representations: A Model-based Facial Expression Analysis Approach
Nathaniel Haines, Olga Rass, Yong‐Wook Shin, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2019)
Closed Access | Times Cited: 9
Similarities and disparities between visual analysis and high-resolution electromyography of facial expressions
Liraz Gat, Aaron Gerston, Shikun Liu, et al.
PLoS ONE (2022) Vol. 17, Iss. 2, pp. e0262286-e0262286
Open Access | Times Cited: 5
Affective Computing Out-of-The-Lab: The Cost of Low Cost
Alexis Fortin-Côté, Nicolas Beaudin-Gagnon, Alexandre Campeau‐Lecours, et al.
2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC) (2019), pp. 4137-4142
Closed Access | Times Cited: 7
Coding infant engagement in the Face-to-Face Still-Face paradigm using deep neural networks
Mateusz Faltyn, John E. Krzeczkowski, Mike Cummings, et al.
Infant Behavior and Development (2023) Vol. 71, pp. 101827-101827
Closed Access | Times Cited: 2
Automated Detection of Optimal DBS Device Settings
Yaohan Ding, Itır Önal Ertuğrul, Ali Darzi, et al.
Companion Publication of the 2020 International Conference on Multimodal Interaction (2020), pp. 354-356
Open Access | Times Cited: 4
Children’s physiological and behavioural response during the observation, olfaction, manipulation, and consumption of food products with varied textures. Part 2: Solid products
N. da Quinta, A. Baranda, Y. Ríos, et al.
Food Quality and Preference (2024) Vol. 115, pp. 105120-105120
Closed Access
Infants' salivary oxytocin and positive affective reactions to people
Guangyu Zeng, Tiffany S. Leung, Sarah E. Maylott, et al.
Hormones and Behavior (2024) Vol. 164, pp. 105579-105579
Closed Access
Explainable Emotion Decoding for Human and Computer Vision
Alessio Borriero, Martina Milazzo, Matteo Diano, et al.
Communications in computer and information science (2024), pp. 178-201
Closed Access
Behavioral Observation and Coding
Katherine R. Thorson, Tessa V. West
Cambridge University Press eBooks (2024), pp. 378-403
Closed Access
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