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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:

Digital Biomarkers of Social Anxiety Severity: Digital Phenotyping Using Passive Smartphone Sensors
Nicholas C. Jacobson, Berta J. Summers, Sabine Wilhelm
Journal of Medical Internet Research (2020) Vol. 22, Iss. 5, pp. e16875-e16875
Open Access | Times Cited: 132

Showing 1-25 of 132 citing articles:

Problems and Barriers Related to the Use of Digital Health Applications: Scoping Review
Godwin Denk Giebel, Christian Speckemeier, Carina Abels, et al.
Journal of Medical Internet Research (2023) Vol. 25, pp. e43808-e43808
Open Access | Times Cited: 80
Digital Neuropsychology beyond Computerized Cognitive Assessment: Applications of Novel Digital Technologies
Che Harris, Yingfei Tang, Eliana Birnbaum, et al.
Archives of Clinical Neuropsychology (2024) Vol. 39, Iss. 3, pp. 290-304
Open Access | Times Cited: 16
Passive Sensing of Prediction of Moment-To-Moment Depressed Mood among Undergraduates with Clinical Levels of Depression Sample Using Smartphones
Nicholas C. Jacobson, Yeon Joo Chung
Sensors (2020) Vol. 20, Iss. 12, pp. 3572-3572
Open Access | Times Cited: 110
Digital phenotyping for mental health of college students: a clinical review
Jennifer R. Melcher, Ryan Hays, John Torous
Evidence-Based Mental Health (2020) Vol. 23, Iss. 4, pp. 161-166
Open Access | Times Cited: 101
Is There an App for That?: Ethical Issues in the Digital Mental Health Response to COVID-19
Joshua August Skorburg, Josephine Yam
AJOB Neuroscience (2021) Vol. 13, Iss. 3, pp. 177-190
Open Access | Times Cited: 57
Digital Phenotyping of Mental Health using multimodal sensing of multiple situations of interest: A Systematic Literature Review
Ivan Rodrigues de Moura, Ariel Soares Teles, Davi Viana, et al.
Journal of Biomedical Informatics (2022) Vol. 138, pp. 104278-104278
Open Access | Times Cited: 38
Digital Phenotyping for Monitoring Mental Disorders: Systematic Review
Pasquale Bufano, Marco Laurino, Sara Said, et al.
Journal of Medical Internet Research (2023) Vol. 25, pp. e46778-e46778
Open Access | Times Cited: 35
Challenges and best practices for digital unstructured data enrichment in health research: A systematic narrative review
Jana Sedláková, Paola Daniore, Andrea B. Horn, et al.
PLOS Digital Health (2023) Vol. 2, Iss. 10, pp. e0000347-e0000347
Open Access | Times Cited: 31
Differential temporal utility of passively sensed smartphone features for depression and anxiety symptom prediction: a longitudinal cohort study
Caitlin A. Stamatis, Jonah Meyerhoff, Yixuan Meng, et al.
npj Mental Health Research (2024) Vol. 3, Iss. 1
Open Access | Times Cited: 13
Deep learning paired with wearable passive sensing data predicts deterioration in anxiety disorder symptoms across 17–18 years
Nicholas C. Jacobson, Damien Lekkas, Raphael Huang, et al.
Journal of Affective Disorders (2020) Vol. 282, pp. 104-111
Open Access | Times Cited: 54
Digital biomarkers of anxiety disorder symptom changes: Personalized deep learning models using smartphone sensors accurately predict anxiety symptoms from ecological momentary assessments
Nicholas C. Jacobson, Sukanya Bhattacharya
Behaviour Research and Therapy (2021) Vol. 149, pp. 104013-104013
Open Access | Times Cited: 53
Loneliness and Social Isolation Detection Using Passive Sensing Techniques: Scoping Review
Malik Muhammad Qirtas, Evi Zafeiridi, Dirk Pesch, et al.
JMIR mhealth and uhealth (2022) Vol. 10, Iss. 4, pp. e34638-e34638
Open Access | Times Cited: 38
Digital phenotyping of generalized anxiety disorder: using artificial intelligence to accurately predict symptom severity using wearable sensors in daily life
Nicholas C. Jacobson, Brandon Feng
Translational Psychiatry (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 38
Technology and Mental Health: State of the Art for Assessment and Treatment
Philip D. Harvey, Colin A. Depp, Albert Rizzo, et al.
American Journal of Psychiatry (2022) Vol. 179, Iss. 12, pp. 897-914
Closed Access | Times Cited: 34
Current Technology Developments Can Improve the Quality of Research and Level of Evidence for Rehabilitation Interventions: A Narrative Review
Bruno Bonnechère, Annick Timmermans, Sarah Michiels
Sensors (2023) Vol. 23, Iss. 2, pp. 875-875
Open Access | Times Cited: 18
Shifting From Active to Passive Monitoring of Alzheimer Disease: The State of the Research
Zachary Popp, Spencer Low, Akwaugo Igwe, et al.
Journal of the American Heart Association (2024) Vol. 13, Iss. 2
Open Access | Times Cited: 7
Predicting Mood Based on the Social Context Measured Through the Experience Sampling Method, Digital Phenotyping, and Social Networks
Anna M. Langener, Laura F. Bringmann, Martien J. Kas, et al.
Administration and Policy in Mental Health and Mental Health Services Research (2024) Vol. 51, Iss. 4, pp. 455-475
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: 6
Reproducible Analysis Pipeline for Data Streams: Open-Source Software to Process Data Collected With Mobile Devices
Julio Vega, Meng Li, Kwesi Aguillera, et al.
Frontiers in Digital Health (2021) Vol. 3
Open Access | Times Cited: 35
Capturing the Dynamics of the Social Environment Through Experience Sampling Methods, Passive Sensing, and Egocentric Networks: Scoping Review
Anna M. Langener, Gert Stulp, Martien J. Kas, et al.
JMIR Mental Health (2023) Vol. 10, pp. e42646-e42646
Open Access | Times Cited: 16
The use of artificial intelligence in mental health services in Turkey: What do mental health professionals think?
Mücahit GÜLTEKİN, Meryem ŞAHİN
Cyberpsychology Journal of Psychosocial Research on Cyberspace (2024) Vol. 18, Iss. 1
Open Access | Times Cited: 5
Relationship Between Social Anxiety and Internet Addiction in Chinese College Students Controlling for the Effects of Physical Exercise, Demographic, and Academic Variables
Songdong Ye, Huiying Cheng, Zongpeng Zhai, et al.
Frontiers in Psychology (2021) Vol. 12
Open Access | Times Cited: 27
Clinician perspectives on how digital phenotyping can inform client treatment
Simone Schmidt, Simon D’Alfonso
Acta Psychologica (2023) Vol. 235, pp. 103886-103886
Open Access | Times Cited: 12
Digital Phenotyping in Adults with Schizophrenia: A Narrative Review
Erlend Lane, Jessica D’Arcey, Sean A. Kidd, et al.
Current Psychiatry Reports (2023) Vol. 25, Iss. 11, pp. 699-706
Closed Access | Times Cited: 11
SADXAI: Predicting social anxiety disorder using multiple interpretable artificial intelligence techniques
Krishnaraj Chadaga, Srikanth Prabhu, Niranjana Sampathila, et al.
SLAS TECHNOLOGY (2024) Vol. 29, Iss. 2, pp. 100129-100129
Open Access | Times Cited: 4
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