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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:

Data-Driven Diagnostics and the Potential of Mobile Artificial Intelligence for Digital Therapeutic Phenotyping in Computational Psychiatry
Peter Washington, Natalie Park, Parishkrita Srivastava, et al.
Biological Psychiatry Cognitive Neuroscience and Neuroimaging (2019) Vol. 5, Iss. 8, pp. 759-769
Open Access | Times Cited: 89

Showing 1-25 of 89 citing articles:

Artificial Intelligence for Mental Health Care: Clinical Applications, Barriers, Facilitators, and Artificial Wisdom
Ellen Lee, John Torous, Munmun De Choudhury, et al.
Biological Psychiatry Cognitive Neuroscience and Neuroimaging (2021) Vol. 6, Iss. 9, pp. 856-864
Open Access | Times Cited: 246
Digital health data-driven approaches to understand human behavior
Lisa A. Marsch
Neuropsychopharmacology (2020) Vol. 46, Iss. 1, pp. 191-196
Open Access | Times Cited: 81
Classifying Autism From Crowdsourced Semistructured Speech Recordings: Machine Learning Model Comparison Study
Nathan Chi, Peter Washington, Aaron Kline, et al.
JMIR Pediatrics and Parenting (2022) Vol. 5, Iss. 2, pp. e35406-e35406
Open Access | Times Cited: 40
Digital therapeutics in the clinic
Philana Phan, Samir Mitragotri, Zongmin Zhao
Bioengineering & Translational Medicine (2023) Vol. 8, Iss. 4
Open Access | Times Cited: 39
Digital Phenotyping: Data-Driven Psychiatry to Redefine Mental Health
Antoine Oudin, Redwan Maatoug, Alexis Bourla, et al.
Journal of Medical Internet Research (2023) Vol. 25, pp. e44502-e44502
Open Access | Times Cited: 37
Leveraging AI for the Diagnosis and Treatment of Autism Spectrum Disorder: Current Trends and Future Prospects
Nitu L. Wankhede, Mayur B. Kale, Madhu Shukla, et al.
Asian Journal of Psychiatry (2024) Vol. 101, pp. 104241-104241
Closed Access | Times Cited: 15
Development of an Integrated System of sEMG Signal Acquisition, Processing, and Analysis with AI Techniques
Filippo Laganá, Danilo Pratticò, Giovanni Angiulli, et al.
Signals (2024) Vol. 5, Iss. 3, pp. 476-493
Open Access | Times Cited: 14
A Comparison of Personalized and Generalized Approaches to Emotion Recognition Using Consumer Wearable Devices: Machine Learning Study
Joe Li, Peter Washington
JMIR AI (2024) Vol. 3, pp. e52171-e52171
Open Access | Times Cited: 10
Latest clinical frontiers related to autism diagnostic strategies
Samuele Cortese, Alessio Bellato, Alessandra Gabellone, et al.
Cell Reports Medicine (2025), pp. 101916-101916
Open Access | Times Cited: 1
Artificial intelligence in psychiatry: A systematic review and meta-analysis of diagnostic and therapeutic efficacy
Moustaq Karim Khan Rony, Dipak Chandra Das, Most. Tahmina Khatun, et al.
Digital Health (2025) Vol. 11
Open Access | Times Cited: 1
The Performance of Emotion Classifiers for Children With Parent-Reported Autism: Quantitative Feasibility Study
Haik Kalantarian, Khaled Jedoui, Kaitlyn Dunlap, et al.
JMIR Mental Health (2020) Vol. 7, Iss. 4, pp. e13174-e13174
Open Access | Times Cited: 56
Precision Telemedicine through Crowdsourced Machine Learning: Testing Variability of Crowd Workers for Video-Based Autism Feature Recognition
Peter Washington, Émilie Leblanc, Kaitlyn Dunlap, et al.
Journal of Personalized Medicine (2020) Vol. 10, Iss. 3, pp. 86-86
Open Access | Times Cited: 54
Activity Recognition with Moving Cameras and Few Training Examples: Applications for Detection of Autism-Related Headbanging
Peter Washington, Aaron Kline, Onur Cezmi Mutlu, et al.
(2021), pp. 1-7
Open Access | Times Cited: 48
Digital tools for the assessment of pharmacological treatment for depressive disorder: State of the art
E. Van Assche, Josep Antoni Ramos‐Quiroga, Carmine M. Pariante, et al.
European Neuropsychopharmacology (2022) Vol. 60, pp. 100-116
Open Access | Times Cited: 37
Identification of Social Engagement Indicators Associated With Autism Spectrum Disorder Using a Game-Based Mobile App: Comparative Study of Gaze Fixation and Visual Scanning Methods
Maya Varma, Peter Washington, Brianna Chrisman, et al.
Journal of Medical Internet Research (2022) Vol. 24, Iss. 2, pp. e31830-e31830
Open Access | Times Cited: 34
The Classification of Abnormal Hand Movement to Aid in Autism Detection: Machine Learning Study
Anish Lakkapragada, Aaron Kline, Onur Cezmi Mutlu, et al.
JMIR Biomedical Engineering (2022) Vol. 7, Iss. 1, pp. e33771-e33771
Open Access | Times Cited: 32
Improved Digital Therapy for Developmental Pediatrics Using Domain-Specific Artificial Intelligence: Machine Learning Study
Peter Washington, Haik Kalantarian, John Kent, et al.
JMIR Pediatrics and Parenting (2022) Vol. 5, Iss. 2, pp. e26760-e26760
Open Access | Times Cited: 31
Toward Continuous Social Phenotyping: Analyzing Gaze Patterns in an Emotion Recognition Task for Children With Autism Through Wearable Smart Glasses
Anish Nag, Nick Haber, Catalin Voss, et al.
Journal of Medical Internet Research (2020) Vol. 22, Iss. 4, pp. e13810-e13810
Open Access | Times Cited: 46
Feature replacement methods enable reliable home video analysis for machine learning detection of autism
Émilie Leblanc, Peter Washington, Maya Varma, et al.
Scientific Reports (2020) Vol. 10, Iss. 1
Open Access | Times Cited: 44
Crowdsourced privacy-preserved feature tagging of short home videos for machine learning ASD detection
Peter Washington, Qandeel Tariq, Émilie Leblanc, et al.
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 33
Early identification of autism spectrum disorder based on machine learning with eye-tracking data
Qiuhong Wei, Wenxin Dong, Dongchuan Yu, et al.
Journal of Affective Disorders (2024) Vol. 358, pp. 326-334
Closed Access | Times Cited: 6
Predicting autism spectrum disorder using maternal risk factors: A multi-center machine learning study
Qiuhong Wei, Yuanjie Xiao, Ting Yang, et al.
Psychiatry Research (2024) Vol. 334, pp. 115789-115789
Closed Access | Times Cited: 5
Companion Diagnostics: State of the Art and New Regulations
Vasiliki Valla, Saba Alzabin, Angeliki Koukoura, et al.
Biomarker Insights (2021) Vol. 16
Open Access | Times Cited: 29
Global trends and hotspots in the digital therapeutics of autism spectrum disorders: a bibliometric analysis from 2002 to 2022
Xuesen Wu, Haiyin Deng, Shiyun Jian, et al.
Frontiers in Psychiatry (2023) Vol. 14
Open Access | Times Cited: 12
Training and Profiling a Pediatric Facial Expression Classifier for Children on Mobile Devices: Machine Learning Study
Agnik Banerjee, Onur Cezmi Mutlu, Aaron Kline, et al.
JMIR Formative Research (2022) Vol. 7, pp. e39917-e39917
Open Access | Times Cited: 17
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