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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.

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Showing 1-25 of 38 citing articles:

Artificial Intelligence‐Based Medical Sensors for Healthcare System
Mingrui Chen, Daxiang Cui, Hossam Haick, et al.
Advanced Sensor Research (2023) Vol. 3, Iss. 3
Open Access | Times Cited: 26
Walk, talk, think, see and feel: harnessing the power of digital biomarkers in healthcare
Dylan Powell
npj Digital Medicine (2024) Vol. 7, Iss. 1
Open Access | Times Cited: 11
Automated mood disorder symptoms monitoring from multivariate time-series sensory data: getting the full picture beyond a single number
Filippo Corponi, Bryan M. Li, Gerard Anmella, et al.
Translational Psychiatry (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 6
Behind the Screen: A Narrative Review on the Translational Capacity of Passive Sensing for Mental Health Assessment
Anastasia C. Bryan, Michael V. Heinz, Abigail Salzhauer, et al.
Deleted Journal (2024) Vol. 2, Iss. 2, pp. 778-810
Closed Access | Times Cited: 5
Wearable Artificial Intelligence for Detecting Anxiety: Systematic Review and Meta-Analysis
Alaa Abd‐Alrazaq, Rawan AlSaad, Manale Harfouche, et al.
Journal of Medical Internet Research (2023) Vol. 25, pp. e48754-e48754
Open Access | Times Cited: 12
AwarNS: A framework for developing context-aware reactive mobile applications for health and mental health
Alberto González‐Pérez, Miguel Matey-Sanz, Carlos Granell, et al.
Journal of Biomedical Informatics (2023) Vol. 141, pp. 104359-104359
Open Access | Times Cited: 11
Predicting the severity of mood and neuropsychiatric symptoms from digital biomarkers using wearable physiological data and deep learning
Yuri Rykov, Kok Pin Ng, Michael D. Patterson, et al.
Computers in Biology and Medicine (2024) Vol. 180, pp. 108959-108959
Open Access | Times Cited: 4
Machine learning applied to digital phenotyping: A systematic literature review and taxonomy
Marília Pit dos Santos, Wesllei Felipe Heckler, Rodrigo Simon Bavaresco, et al.
Computers in Human Behavior (2024) Vol. 161, pp. 108422-108422
Closed Access | Times Cited: 4
Understanding tinnitus symptom dynamics and clinical improvement through intensive longitudinal data
Milena Engelke, Jorge Simões, Laura Basso, et al.
npj Digital Medicine (2025) Vol. 8, Iss. 1
Open Access
Forecasting mental states in schizophrenia using digital phenotyping data
Thierry Jean, Rose Guay Hottin, Pierre Orban
PLOS Digital Health (2025) Vol. 4, Iss. 2, pp. e0000734-e0000734
Open Access
Beyond the screen: The relationships between online activities and eating disorder risk
Xinfang Ding
Eating Behaviors (2025) Vol. 57, pp. 101963-101963
Closed Access
Applying AI in the Context of the Association Between Device-Based Assessment of Physical Activity and Mental Health: Systematic Review
Simon Woll, Dennis Birkenmaier, Gergely Biri, et al.
JMIR mhealth and uhealth (2025) Vol. 13, pp. e59660-e59660
Open Access
Wearable and Mobile Technologies for the Evaluation and Treatment of Obsessive-Compulsive Disorder: Scoping Review
Adam C. Frank, Ruibei Li, Bradley S. Peterson, et al.
JMIR Mental Health (2023) Vol. 10, pp. e45572-e45572
Open Access | Times Cited: 9
Understanding Mental Health Clinicians’ Perceptions and Concerns Regarding Using Passive Patient-Generated Health Data for Clinical Decision-Making: Qualitative Semistructured Interview Study
Jodie Nghiem, Daniel A. Adler, Deborah Estrin, et al.
JMIR Formative Research (2023) Vol. 7, pp. e47380-e47380
Open Access | Times Cited: 7
Smartphone sensors for evaluating COVID-19 fear in patients with cancer: a prospective study
Gabrielė Kasputytė, Gabrielė Jenciūtė, Nerijus Šakinis, et al.
Frontiers in Public Health (2024) Vol. 11
Open Access | Times Cited: 2
Depression Emotion Multi-Label Classification Using Everytime Platform With DSM-5 Diagnostic Criteria
Dabin Park, Semin Lim, Yurim Choi, et al.
IEEE Access (2023) Vol. 11, pp. 89093-89106
Open Access | Times Cited: 6
Sleep, physical activity and panic attacks: A two-year prospective cohort study using smartwatches, deep learning and an explainable artificial intelligence model
Chan-Hen Tsai, Mesakh Christian, Ying-Ying Kuo, et al.
Sleep Medicine (2023) Vol. 114, pp. 55-63
Closed Access | Times Cited: 4
Relationships between depression, anxiety, and motivation in the real-world: Effects of physical activity and screentime
J. Beltrán, Yael Jacob, Marishka Mehta, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 1
Harnessing AI in Anxiety Management: A Chatbot-Based Intervention for Personalized Mental Health Support
Alexia Manole, Răzvan Cârciumaru, Rodica Brînzaș, et al.
Information (2024) Vol. 15, Iss. 12, pp. 768-768
Open Access | Times Cited: 1
Digital Phenotyping-based Depression Detection in the Presence of Comorbidity: An Uncertainty Reasoning Approach
Fei Peng, Dongsong Zhang, Zhijun Yan
Journal of Management Information Systems (2024) Vol. 41, Iss. 4, pp. 931-957
Closed Access | Times Cited: 1
Integrating Genome-wide information and Wearable Device Data to Explore the Link of Anxiety and Antidepressants with Heart Rate Variability
Eleni Friligkou, Dóra Koller, Gita A. Pathak, et al.
medRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 2
Review: Preventing Psychopathology in the Digital Age: Leveraging Technology to Target Coping and Emotion Regulation in Adolescents
Lauren Henry, Bruce E. Compas
JAACAP Open (2023) Vol. 2, Iss. 1, pp. 6-25
Open Access | Times Cited: 2
Enhancing the Diagnosis of Depression and Anxiety Through Explainable Machine Learning Methods
Mai Marey, Dina Salem, Nora El-Rashidy, et al.
International Journal of Advanced Computer Science and Applications (2024) Vol. 15, Iss. 4
Open Access
Individual Behavioral Insights in Schizophrenia: A Network Analysis and Mobile Sensing Approach
Andy Davies, Eiko I. Fried, Omar Costilla-Reyes, et al.
Pervasive Computing Technologies for Healthcare (2024), pp. 18-33
Closed Access
Detecting Longitudinal Trends between Passively Collected Phone Use and Anxiety among College Students
Joseph A. Gyorda, Damien Lekkas, Nicholas C. Jacobson
Digital Biomarkers (2024) Vol. 8, Iss. 1, pp. 181-193
Open Access
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