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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:

Passive mobile sensing and psychological traits for large scale mood prediction
Dimitris Spathis, Sandra Servia-Rodríguez, Katayoun Farrahi, et al.
(2019), pp. 272-281
Open Access | Times Cited: 34

Showing 1-25 of 34 citing articles:

Machine Learning in Mental Health
Anja Thieme, Danielle Belgrave, Gavin Doherty
ACM Transactions on Computer-Human Interaction (2020) Vol. 27, Iss. 5, pp. 1-53
Open Access | Times Cited: 290
Designing Human-centered AI for Mental Health: Developing Clinically Relevant Applications for Online CBT Treatment
Anja Thieme, Maryann Hanratty, Maria Lyons, et al.
ACM Transactions on Computer-Human Interaction (2022) Vol. 30, Iss. 2, pp. 1-50
Open Access | Times Cited: 71
Intelligent Wearable Systems: Opportunities and Challenges in Health and Sports
Luyao Yang, Osama Amin, Basem Shihada
ACM Computing Surveys (2024) Vol. 56, Iss. 7, pp. 1-42
Closed Access | Times Cited: 24
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: 100
Learning From Others Without Sacrificing Privacy: Simulation Comparing Centralized and Federated Machine Learning on Mobile Health Data
Jessica Chia Liu, Jack Goetz, Srijan Sen, et al.
JMIR mhealth and uhealth (2021) Vol. 9, Iss. 3, pp. e23728-e23728
Open Access | Times Cited: 44
M3BAT: Unsupervised Domain Adaptation for Multimodal Mobile Sensing with Multi-Branch Adversarial Training
Lakmal Meegahapola, Hamza Hassoune, Daniel Gática-Pérez
Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies (2024) Vol. 8, Iss. 2, pp. 1-30
Open Access | Times Cited: 7
Generalization and Personalization of Mobile Sensing-Based Mood Inference Models
Lakmal Meegahapola, William Droz, Péter Kun, et al.
Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies (2022) Vol. 6, Iss. 4, pp. 1-32
Open Access | Times Cited: 26
Exploring Large-Scale Language Models to Evaluate EEG-Based Multimodal Data for Mental Health
Yongquan Hu, Shuning Zhang, Ting Dang, et al.
(2024), pp. 412-417
Open Access | Times Cited: 5
A Novel Approach to Clustering Accelerometer Data for Application in Passive Predictions of Changes in Depression Severity
Mindy K. Ross, Theja Tulabandhula, Casey C. Bennett, et al.
Sensors (2023) Vol. 23, Iss. 3, pp. 1585-1585
Open Access | Times Cited: 12
Human Factors and Behavioral Sensing in AI Applications
Marios Constantinides, Dimitris Spathis, Sofia Yfantidou
Human-computer interaction series (2025), pp. 573-591
Closed Access
Examining the Social Context of Alcohol Drinking in Young Adults with Smartphone Sensing
Lakmal Meegahapola, Florian Labhart, Thanh‐Trung Phan, et al.
Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies (2021) Vol. 5, Iss. 3, pp. 1-26
Open Access | Times Cited: 21
Data Is the New Oil–Sort of: A View on Why This Comparison Is Misleading and Its Implications for Modern Data Administration
Christoph Stach
Future Internet (2023) Vol. 15, Iss. 2, pp. 71-71
Open Access | Times Cited: 9
Human-centred artificial intelligence for mobile health sensing: challenges and opportunities
Ting Dang, Dimitris Spathis, Abhirup Ghosh, et al.
Royal Society Open Science (2023) Vol. 10, Iss. 11
Open Access | Times Cited: 9
Objective Prediction of Next-Day’s Affect Using Multimodal Physiological and Behavioral Data: Algorithm Development and Validation Study
Salar Jafarlou, Jocelyn Lai, Iman Azimi, et al.
JMIR Formative Research (2022) Vol. 7, pp. e39425-e39425
Open Access | Times Cited: 12
Self-supervised transfer learning of physiological representations from free-living wearable data
Dimitris Spathis, Ignacio Perez-Pozuelo, Søren Brage, et al.
(2021), pp. 69-78
Open Access | Times Cited: 15
Wearable-Based Intelligent Emotion Monitoring in Older Adults during Daily Life Activities
Eduardo Gutierrez Maestro, Tiago Rodrigues de Almeida, Erik Schaffernicht, et al.
Applied Sciences (2023) Vol. 13, Iss. 9, pp. 5637-5637
Open Access | Times Cited: 4
Personalized Deep Learning for Substance Use in Hawaii: Protocol for a Passive Sensing and Ecological Momentary Assessment Study
Yinan Sun, Ali Kargarandehkordi, Christopher Slade, et al.
JMIR Research Protocols (2023) Vol. 13, pp. e46493-e46493
Open Access | Times Cited: 4
Exploring User Willingness towards Mobile Sensing and Intervention: A Case Study on Mental Health of Undergraduate College Students
Manas Satish Bedmutha, Sahithi Karumudi, Kevin Patrick, et al.
(2024) Vol. 7, pp. 721-728
Closed Access | Times Cited: 1
Protecting Mobile Food Diaries from Getting too Personal
Lakmal Meegahapola, Salvador Ruíz-Correa, Daniel Gática-Pérez
(2020), pp. 212-222
Open Access | Times Cited: 10
Episode-contingent experience-sampling designs for accurate estimates of autoregressive dynamics
Jordan Revol, Sigert Ariens, Ginette Lafit, et al.
(2023)
Open Access | Times Cited: 3
Is frequent sighing an indicator of dispositional negative emotionality? A multi-sample, multi-measure naturalistic-observation study
Alexander Danvers, Anne Milek, Allison Mary Tackman, et al.
Journal of Research in Personality (2020) Vol. 90, pp. 104046-104046
Open Access | Times Cited: 7
A Review on Mood Assessment Using Smartphones
Zhanna Sarsenbayeva, Charlie Fleming, Benjamin Tag, et al.
Lecture notes in computer science (2023), pp. 385-413
Closed Access | Times Cited: 2
Bayesian Networks for Mood Prediction Using Unobtrusive Ecological Momentary Assessments
Margarita Rebolledo, Á. E. Eiben, Thomas Bartz–Beielstein
Lecture notes in computer science (2021), pp. 373-387
Closed Access | Times Cited: 4
Exploring Factor Structures Using Variational Autoencoder in Personality Research
Yufei Huang, Jianqiu Zhang
Frontiers in Psychology (2022) Vol. 13
Open Access | Times Cited: 3
Personalized Machine Learning using Passive Sensing and Ecological Momentary Assessments for Meth Users in Hawaii: A Research Protocol
Peter Washington
medRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 1
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