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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:

Depression Detection on Reddit With an Emotion-Based Attention Network: Algorithm Development and Validation
Lu Ren, Hongfei Lin, Bo Xu, et al.
JMIR Medical Informatics (2021) Vol. 9, Iss. 7, pp. e28754-e28754
Open Access | Times Cited: 47

Showing 1-25 of 47 citing articles:

A mental state Knowledge–aware and Contrastive Network for early stress and depression detection on social media
Kailai Yang, Tianlin Zhang, Sophia Ananiadou
Information Processing & Management (2022) Vol. 59, Iss. 4, pp. 102961-102961
Open Access | Times Cited: 65
Emotion fusion for mental illness detection from social media: A survey
Tianlin Zhang, Kailai Yang, Shaoxiong Ji, et al.
Information Fusion (2022) Vol. 92, pp. 231-246
Open Access | Times Cited: 53
Deep learning techniques for suicide and depression detection from online social media: A scoping review
Anshu Malhotra, Rajni Jindal
Applied Soft Computing (2022) Vol. 130, pp. 109713-109713
Closed Access | Times Cited: 48
Fair and Explainable Depression Detection in Social Media
V. Adarsh, Pradeep Kumar, V. Lavanya, et al.
Information Processing & Management (2022) Vol. 60, Iss. 1, pp. 103168-103168
Closed Access | Times Cited: 41
Calibration of Transformer-Based Models for Identifying Stress and Depression in Social Media
Loukas Ilias, Spiros Mouzakitis, Dimitris Askounis
IEEE Transactions on Computational Social Systems (2023) Vol. 11, Iss. 2, pp. 1979-1990
Open Access | Times Cited: 31
MHA: a multimodal hierarchical attention model for depression detection in social media
Zepeng Li, Zhengyi An, Wenchuan Cheng, et al.
Health Information Science and Systems (2023) Vol. 11, Iss. 1
Open Access | Times Cited: 26
XAI Transformer based Approach for Interpreting Depressed and Suicidal User Behavior on Online Social Networks
Anshu Malhotra, Rajni Jindal
Cognitive Systems Research (2023) Vol. 84, pp. 101186-101186
Closed Access | Times Cited: 19
A survey on detecting mental disorders with natural language processing: Literature review, trends and challenges
Arturo Montejo‐Ráez, M. Dolores Molina-González, Salud María Jiménez-Zafra, et al.
Computer Science Review (2024) Vol. 53, pp. 100654-100654
Open Access | Times Cited: 5
DepressionEmo: A novel dataset for multilabel classification of depression emotions
Abu Bakar Siddiqur Rahman, Hoang-Thang Ta, Lotfollah Najjar, et al.
Journal of Affective Disorders (2024) Vol. 366, pp. 445-458
Open Access | Times Cited: 5
Enabling Early Health Care Intervention by Detecting Depression in Users of Web-Based Forums using Language Models: Longitudinal Analysis and Evaluation
David Owen, Dimosthenis Antypas, Athanasios Hassoulas, et al.
JMIR AI (2023) Vol. 2, pp. e41205-e41205
Open Access | Times Cited: 11
Identifying emotional causes of mental disorders from social media for effective intervention
Yunji Liang, Lei Liu, Yapeng Ji, et al.
Information Processing & Management (2023) Vol. 60, Iss. 4, pp. 103407-103407
Open Access | Times Cited: 11
Machine Learning Approaches for Detecting Signs of Depression from Social Media
Sarin Jickson, V. S. Anoop, S. Asharaf
Lecture notes in networks and systems (2023), pp. 201-214
Closed Access | Times Cited: 11
Identifying discernible indications of psychological well-being using ML: explainable AI in reddit social media interactions
Pahalage Dona Thushari, Nitisha Aggarwal, Vajratiya Vajrobol, et al.
Social Network Analysis and Mining (2023) Vol. 13, Iss. 1
Closed Access | Times Cited: 11
DECEN: A deep learning model enhanced by depressive emotions for depression detection from social media content
Zhijun Yan, Fei Peng, Dongsong Zhang
Decision Support Systems (2025), pp. 114421-114421
Closed Access
Emotion-Based Reinforcement Attention Network for Depression Detection on Social Media: Algorithm Development and Validation
Bin Cui, Jian Wang, Hongfei Lin, et al.
JMIR Medical Informatics (2022) Vol. 10, Iss. 8, pp. e37818-e37818
Open Access | Times Cited: 18
Understanding Health-Related Discussions on Reddit: Development of a Topic Assignment Method and Exploratory Analysis
Garrett J. Chan, Mark Fung, Jill S. Warrington, et al.
JMIR Formative Research (2025) Vol. 9, pp. e55309-e55309
Open Access
Mental Health Disorder Identification From Motivational Conversations
Tulika Saha, Saichethan Miriyala Reddy, Sriparna Saha, et al.
IEEE Transactions on Computational Social Systems (2022) Vol. 10, Iss. 3, pp. 1130-1139
Closed Access | Times Cited: 15
Unraveling minds in the digital era: a review on mapping mental health disorders through machine learning techniques using online social media
Aysha Khan, Rashid Ali
Social Network Analysis and Mining (2024) Vol. 14, Iss. 1
Closed Access | Times Cited: 3
Depression Speech Recognition With a Three-Dimensional Convolutional Network
Hongbo Wang, Yu Liu, Xiaoxiao Zhen, et al.
Frontiers in Human Neuroscience (2021) Vol. 15
Open Access | Times Cited: 19
Early Depression Detection Using Textual Cues from Social Data: A Research Agenda
Sumit Dalal, Sarika Jain, Mayank Dave
Lecture notes in electrical engineering (2023), pp. 393-406
Closed Access | Times Cited: 7
A Systematic Review of Ethics Disclosures in Predictive Mental Health Research
Leah Ajmani, Stevie Chancellor, Bijal Mehta, et al.
2022 ACM Conference on Fairness, Accountability, and Transparency (2023), pp. 1311-1323
Closed Access | Times Cited: 7
User Dynamics and Thematic Exploration in r/Depression during COVID-19: Insights from Overlapping r/SuicideWatch Users (Preprint)
Jianfeng Zhu, Ruoming Jin, Deric R. Kenne, et al.
Journal of Medical Internet Research (2024) Vol. 26, pp. e53968-e53968
Open Access | Times Cited: 2
Detection and Prediction of Future Mental Disorder From Social Media Data Using Machine Learning, Ensemble Learning, and Large Language Models
Mohammed Abdullah, Nermin K. Negied
IEEE Access (2024) Vol. 12, pp. 120553-120569
Open Access | Times Cited: 2
Multitask learning for recognizing stress and depression in social media
Loukas Ilias, Dimitris Askounis
Online Social Networks and Media (2023) Vol. 37-38, pp. 100270-100270
Closed Access | Times Cited: 6
Depression detection via a Chinese social media platform: a novel causal relation-aware deep learning approach
Yang Liu
The Journal of Supercomputing (2023) Vol. 80, Iss. 8, pp. 10327-10356
Closed Access | Times Cited: 5
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