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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:

Personalised depression forecasting using mobile sensor data and ecological momentary assessment
Alexander Kathan, Mathias Harrer, Ludwig Küster, et al.
Frontiers in Digital Health (2022) Vol. 4
Open Access | Times Cited: 25

Showing 25 citing articles:

Machine Learning for Multimodal Mental Health Detection: A Systematic Review of Passive Sensing Approaches
Lin Sze Khoo, Mei Kuan Lim, Chun Yong Chong, et al.
Sensors (2024) Vol. 24, Iss. 2, pp. 348-348
Open Access | Times Cited: 22
From smartphone data to clinically relevant predictions: A systematic review of digital phenotyping methods in depression
Imogen E. Leaning, Nessa Ikani, Hannah S. Savage, et al.
Neuroscience & Biobehavioral Reviews (2024) Vol. 158, pp. 105541-105541
Open Access | Times Cited: 16
NeuProNet: neural profiling networks for sound classification
Khanh-Tung Tran, Xuan-Son Vu, Khuong Nguyen, et al.
Neural Computing and Applications (2024) Vol. 36, Iss. 11, pp. 5873-5887
Open Access | Times Cited: 4
Development of a Cohesive Predictive Model for Substance Use Disorder Rehabilitation Using Passive Digital Biomarkers, Psychological Assessments, and Automated Facial Emotion Recognition (Preprint)
Andrea P. Garzón‐Partida, Kimberly Magaña-Plascencia, Diana Fernández, et al.
(2025)
Closed Access
MPDRM: A Multi-Scale Personalized Depression Recognition Model via facial movements
Zhenyu Liu, Bailin Chen, Shimao Zhang, et al.
Neurocomputing (2025), pp. 129669-129669
Closed Access
Smartphone Digital Phenotyping in Mental Health Disorders: A Review of Raw Sensors Utilized, Machine Learning Processing Pipelines, and Derived Behavioral Features
Jake Linardon, Kelly Chen, Shruti Gajjar, et al.
Psychiatry Research (2025), pp. 116483-116483
Closed Access
Predicting daily cognition and lifestyle behaviors for older adults using smart home data and ecological momentary assessment
Maureen Schmitter‐Edgecombe, Catherine Luna, Shenghai Dai, et al.
The Clinical Neuropsychologist (2024), pp. 1-25
Closed Access | Times Cited: 3
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
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: 8
Systematic Evaluation of Personalized Deep Learning Models for Affect Recognition
Yunjo Han, Panyu Zhang, Min-Seo Park, et al.
Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies (2024) Vol. 8, Iss. 4, pp. 1-35
Open Access | Times Cited: 2
Daily Mental Health Monitoring from Speech: A Real-World Japanese Dataset and Multitask Learning Analysis
Meishu Song, Andreas Triantafyllopoulos, Zijiang Yang, et al.
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2023)
Closed Access | Times Cited: 5
HEAR4Health: a blueprint for making computer audition a staple of modern healthcare
Andreas Triantafyllopoulos, Alexander Kathan, Alice Baird, et al.
Frontiers in Digital Health (2023) Vol. 5
Open Access | Times Cited: 4
Zero-shot personalization of speech foundation models for depressed mood monitoring
Maurice Gerczuk, Andreas Triantafyllopoulos, Shahin Amiriparian, et al.
Patterns (2023) Vol. 4, Iss. 11, pp. 100873-100873
Open Access | Times Cited: 4
Personalised Speech-Based PTSD Prediction Using Weighted-Instance Learning
Alexander Kathan, Shahin Amiriparian, Andreas Triantafyllopoulos, et al.
(2024), pp. 1-4
Closed Access | Times Cited: 1
Towards Personalised Mood Prediction and Explanation for Depression from Biophysical Data
Sobhan Chatterjee, Jyoti Mishra, Frederick Sundram, et al.
Sensors (2023) Vol. 24, Iss. 1, pp. 164-164
Open Access | Times Cited: 3
Toward Detecting and Addressing Corner Cases in Deep Learning Based Medical Image Segmentation
Srividya Tirunellai Rajamani, Kumar Rajamani, Ashwin Venkateshvaran, et al.
IEEE Access (2023) Vol. 11, pp. 95334-95345
Open Access | Times Cited: 2
Personalised Speech-Based Heart Rate Categorisation Using Weighted-Instance Learning
Alexander Kathan, Shahin Amiriparian, Alexander Gebhard, et al.
(2023), pp. 9-13
Closed Access | Times Cited: 2
Beyond Deep Learning: Charting the Next Frontiers of Affective Computing
Andreas Triantafyllopoulos, Lukas Christ, Alexander Gebhard, et al.
Intelligent Computing (2024) Vol. 3
Open Access
Transatlantic transferability and replicability of machine-learning algorithms to predict mental health crises
João Guerreiro, Roger Garriga, Toni Lozano Bagén, et al.
npj Digital Medicine (2024) Vol. 7, Iss. 1
Open Access
Momentary Depression-Severity Prediction in Acutely Depressed Patients undergoing Sleep Deprivation Therapy: Speech-based Machine Learning (Preprint)
Lisa‐Marie Hartnagel, Daniel Emden, Jerome C. Foo, et al.
JMIR Mental Health (2024) Vol. 11, pp. e64578-e64578
Open Access
Digital phenotyping in bipolar disorder: Using longitudinal Fitbit data and personalized machine learning to predict mood symptomatology
Jessica M. Lipschitz, Shuwen Lin, Soroush Saghafian, et al.
Acta Psychiatrica Scandinavica (2024) Vol. 151, Iss. 3, pp. 434-447
Open Access
Enhancing Scientific Rigor With Editorial Roles and AI
Paraskevi Papadopoulou, Miltiadis D. Lytras
Advances in medical technologies and clinical practice book series (2024), pp. 39-62
Closed Access
Cross-platform Availability of Smartphone Sensors for Depression Indication Systems. Mixed-methods umbrella review. (Preprint)
Johannes Leimhofer, Milica Petrovic, Andreas Dominik, et al.
(2024)
Open Access
From smartphone data to clinically relevant predictions: A systematic review of digital phenotyping methods in depression
Imogen E. Leaning, Nessa Ikani, Hannah S. Savage, et al.
medRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 1
Wearable and Mobile Technologies for the Evaluation and Treatment of Obsessive-Compulsive Disorder: Scoping Review (Preprint)
Adam C. Frank, Ruibei Li, Bradley S. Peterson, et al.
(2023)
Open Access
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