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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:

Touchscreen typing pattern analysis for remote detection of the depressive tendency
Rafail-Evangelos Mastoras, Dimitrios Iakovakis, Stelios Hadjidimitriou, et al.
Scientific Reports (2019) Vol. 9, Iss. 1
Open Access | Times Cited: 87

Showing 1-25 of 87 citing articles:

AI in mental health
Simon D’Alfonso
Current Opinion in Psychology (2020) Vol. 36, pp. 112-117
Closed Access | Times Cited: 212
Artificial intelligence-powered electronic skin
Changhao Xu, Samuel A. Solomon, Wei Gao
Nature Machine Intelligence (2023) Vol. 5, Iss. 12, pp. 1344-1355
Open Access | Times Cited: 91
Is AI the Future of Mental Healthcare?
Francesca Minerva, Alberto Giubilini
Topoi (2023) Vol. 42, Iss. 3, pp. 809-817
Open Access | Times Cited: 55
K-EmoCon, a multimodal sensor dataset for continuous emotion recognition in naturalistic conversations
Cheul Young Park, Narae Cha, Soowon Kang, et al.
Scientific Data (2020) Vol. 7, Iss. 1
Open Access | Times Cited: 135
Mood ratings and digital biomarkers from smartphone and wearable data differentiates and predicts depression status: A longitudinal data analysis
Kennedy Opoku Asare, Isaac Moshe, Yannik Terhorst, et al.
Pervasive and Mobile Computing (2022) Vol. 83, pp. 101621-101621
Open Access | Times Cited: 55
How to protect privacy in a datafied society? A presentation of multiple legal and conceptual approaches
Oskar Josef Gstrein, Anne Beaulieu
Philosophy & Technology (2022) Vol. 35, Iss. 1
Open Access | Times Cited: 53
An insight into diagnosis of depression using machine learning techniques: a systematic review
Sweta Bhadra, Chandan Jyoti Kumar
Current Medical Research and Opinion (2022) Vol. 38, Iss. 5, pp. 749-771
Closed Access | Times Cited: 51
Diagnostic accuracy of keystroke dynamics as digital biomarkers for fine motor decline in neuropsychiatric disorders: a systematic review and meta-analysis
Hessa Alfalahi, Ahsan H. Khandoker, Nayeefa Chowdhury, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 45
Waiting for a digital therapist: three challenges on the path to psychotherapy delivered by artificial intelligence
J. P. Grodniewicz, Mateusz Hohol
Frontiers in Psychiatry (2023) Vol. 14
Open Access | Times Cited: 34
Ethics and Law in Research on Algorithmic and Data-Driven Technology in Mental Health Care: Scoping Review
Piers Gooding, Timothy Kariotis
JMIR Mental Health (2021) Vol. 8, Iss. 6, pp. e24668-e24668
Open Access | Times Cited: 50
Sensing Apps and Public Data Sets for Digital Phenotyping of Mental Health: Systematic Review
Jean P M Mendes, Ivan Rodrigues de Moura, Pepijn van de Ven, et al.
Journal of Medical Internet Research (2021) Vol. 24, Iss. 2, pp. e28735-e28735
Open Access | Times Cited: 47
Variability in phase and amplitude of diurnal rhythms is related to variation of mood in bipolar and borderline personality disorder
Oliver Carr, Kate Saunders, Athanasios Tsanas, et al.
Scientific Reports (2018) Vol. 8, Iss. 1
Open Access | Times Cited: 51
A Review of Emotion Recognition Methods Based on Data Acquired via Smartphone Sensors
Agata Kołakowska, Wioleta Szwoch, Mariusz Szwoch
Sensors (2020) Vol. 20, Iss. 21, pp. 6367-6367
Open Access | Times Cited: 47
Detection of Mild Cognitive Impairment Through Natural Language and Touchscreen Typing Processing
Anastasia Ntracha, Dimitrios Iakovakis, Stelios Hadjidimitriou, et al.
Frontiers in Digital Health (2020) Vol. 2
Open Access | Times Cited: 41
Building the Digital Mental Health Ecosystem: Opportunities and Challenges for Mobile Health Innovators
Benedetta Spadaro, Nayra A Martin-Key, Sabine Bahn
Journal of Medical Internet Research (2021) Vol. 23, Iss. 10, pp. e27507-e27507
Open Access | Times Cited: 34
A review of detection techniques for depression and bipolar disorder
Daniel Highland, Gang Zhou
Smart Health (2022) Vol. 24, pp. 100282-100282
Closed Access | Times Cited: 22
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
A Digital Phenotypic Assessment in Neuro-Oncology (DANO): A Pilot Study on Sociability Changes in Patients Undergoing Treatment for Brain Malignancies
Francesca Siddi, Patrick Emedom-Nnamdi, Michael P. Catalino, et al.
Cancers (2025) Vol. 17, Iss. 1, pp. 139-139
Open Access
Utility of Digital Phenotyping Based on Wrist Wearables and Smartphones in Psychosis: Observational Study
Zixu Yang, Creighton Heaukulani, Amelia Sim, et al.
JMIR mhealth and uhealth (2025) Vol. 13, pp. e56185-e56185
Open Access
Balancing Ethics and Opportunities: The Role of AI in Psychotherapy and Counselling
Alexandra Bloch‐Atefi
Deleted Journal (2025)
Closed Access
Screening of Parkinsonian subtle fine-motor impairment from touchscreen typing via deep learning
Dimitrios Iakovakis, К. Ray Chaudhuri, Lisa Klingelhoefer, et al.
Scientific Reports (2020) Vol. 10, Iss. 1
Open Access | Times Cited: 36
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
Using artificial intelligence and longitudinal location data to differentiate persons who develop posttraumatic stress disorder following childhood trauma
Damien Lekkas, Nicholas C. Jacobson
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 25
Predicting clinically relevant changes in bipolar disorder outside the clinic walls based on pervasive technology interactions via smartphone typing dynamics
Casey C. Bennett, Mindy K. Ross, EuGene Baek, et al.
Pervasive and Mobile Computing (2022) Vol. 83, pp. 101598-101598
Open Access | Times Cited: 18
A Systematic Literature Review on Latest Keystroke Dynamics Based Models
Soumen Roy, Jitesh Pradhan, Abhinav Kumar, et al.
IEEE Access (2022) Vol. 10, pp. 92192-92236
Open Access | Times Cited: 18
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