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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:

A Model of Normality Inspired Deep Learning Framework for Depression Relapse Prediction Using Audiovisual Data
Alice Othmani, Assaad Oussama Zeghina, Muhammad Muzammel
Computer Methods and Programs in Biomedicine (2022) Vol. 226, pp. 107132-107132
Open Access | Times Cited: 21

Showing 21 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: 21
Machine learning based approaches for clinical and non-clinical depression recognition and depression relapse prediction using audiovisual and EEG modalities: A comprehensive review
Sana Yasin, Alice Othmani, Imran Raza, et al.
Computers in Biology and Medicine (2023) Vol. 159, pp. 106741-106741
Closed Access | Times Cited: 30
Speech emotion recognition via graph-based representations
Anastasia Pentari, George P. Kafentzis, Manolis Tsiknakis
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 10
Applied Machine Learning Techniques to Diagnose Voice-Affecting Conditions and Disorders: Systematic Literature Review
Alper Idrisoglu, Ana Luiza Dallora, Peter Anderberg, et al.
Journal of Medical Internet Research (2023) Vol. 25, pp. e46105-e46105
Open Access | Times Cited: 21
Machine-Learning-Based Approaches for Post-Traumatic Stress Disorder Diagnosis Using Video and EEG Sensors: A Review
Alice Othmani, Bechir Brahem, Younes Haddou, et al.
IEEE Sensors Journal (2023) Vol. 23, Iss. 20, pp. 24135-24151
Open Access | Times Cited: 16
A Multimodal Machine Learning Model for Bipolar Disorder Mania Classification: Insights from Acoustic, Linguistic, and Visual Cues
M. Kiruthiga Devi, Parthasarathy Ramadass, Sandeep Kumar Mathivanan, et al.
Intelligence-Based Medicine (2025), pp. 100223-100223
Open Access
An Ensemble Classification Model for Depression Based on Wearable Device Sleep Data
Yuzhu Hu, Jian Chen, Junxin Chen, et al.
IEEE Journal of Biomedical and Health Informatics (2023) Vol. 28, Iss. 5, pp. 2602-2612
Closed Access | Times Cited: 9
Exploring Depression and Nutritional Covariates Amongst US Adults using Shapely Additive Explanations
Alexander A. Huang, Samuel Y. Huang
Health Science Reports (2023) Vol. 6, Iss. 10
Open Access | Times Cited: 9
Relationship between composite dietary antioxidant index and depression among overweight and obese adults
Leiyong Zhao, Xin Zhang, Shanshan Guo, et al.
Journal of Affective Disorders (2023) Vol. 341, pp. 358-365
Closed Access | Times Cited: 8
Resting-State Electroencephalogram Depression Diagnosis Based on Traditional Machine Learning and Deep Learning: A Comparative Analysis
Haijun Lin, Jing Fang, Junpeng Zhang, et al.
Sensors (2024) Vol. 24, Iss. 21, pp. 6815-6815
Open Access | Times Cited: 2
Impact of mobile connectivity on students’ wellbeing: Detecting learners’ depression using machine learning algorithms
Muntequa Imtiaz Siraji, Ahnaf Akif Rahman, Mirza Muntasir Nishat, et al.
PLoS ONE (2023) Vol. 18, Iss. 11, pp. e0294803-e0294803
Open Access | Times Cited: 6
Machine Learning-based Approaches for Post-Traumatic Stress Disorder Diagnosis using Video and EEG Sensors: A Review
Alice OTHMANI, Bechir Brahem, Younes Haddou, et al.
(2023)
Open Access | Times Cited: 4
A Depression Recognition Method Based on the Alteration of Video Temporal Angle Features
Zhiqiang Ding, Yahong Hu, Runhui Jing, et al.
Applied Sciences (2023) Vol. 13, Iss. 16, pp. 9230-9230
Open Access | Times Cited: 2
Uncertainty-Aware Label Contrastive Distribution Learning for Automatic Depression Detection
Biao Yang, Peng Wang, Miaomiao Cao, et al.
IEEE Transactions on Computational Social Systems (2023) Vol. 11, Iss. 2, pp. 2979-2989
Closed Access | Times Cited: 2
Machine Learning-based Approaches for Post-Traumatic Stress Disorder Diagnosis using Video and EEG Sensors: A Review
Alice OTHMANI, Bechir Brahem, Younes Haddou, et al.
(2023)
Open Access | Times Cited: 1
An Ambient Intelligence-Based Approach for Longitudinal Monitoring of Verbal and Vocal Depression Symptoms
Alice Othmani, Muhammad Muzammel
Lecture notes in computer science (2023), pp. 206-217
Closed Access | Times Cited: 1
BD-Transformer: A Transformer-Based Approach for Bipolar Disorder Classification Using Audio
Mohamed Ramadan, Hazem Abdelkawy, Mustaqueem, et al.
Lecture notes in electrical engineering (2023), pp. 331-341
Closed Access | Times Cited: 1
Psychotic Disorders Relapse Prediction from Passive Signals using Anomaly Detection Methods
Salam Hamieh, Hussein Al Osman, Vincent Heiries, et al.
(2023)
Open Access
Psychotic Disorders Relapse Prediction from Passive Signals using Anomaly Detection Methods
Salam Hamieh, Hussein Al Osman, Vincent Heiries, et al.
(2023)
Open Access
Exploring Recurrent Neural Network Models for Depression Detection Through Facial Expressions: A Systematic Literature Review
Brilyan Nathanael Rumahorbo, Bens Pardamean, Gregorius Natanael Elwirehardja
2021 4th International Conference of Computer and Informatics Engineering (IC2IE) (2023), pp. 209-214
Closed Access
A Mobile Monitoring Application for Post-traumatic Stress Disorder
Sirine Chaari, Chaima El Ouni, Alice Othmani
Lecture notes in electrical engineering (2023), pp. 365-375
Closed Access
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