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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:

What Does Your Bio Say? Inferring Twitter Users’ Depression Status From Multimodal Profile Information Using Deep Learning
Soumitra Ghosh, Asif Ekbal, Pushpak Bhattacharyya
IEEE Transactions on Computational Social Systems (2021) Vol. 9, Iss. 5, pp. 1484-1494
Closed Access | Times Cited: 34

Showing 1-25 of 34 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
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: 45
Machine learning for passive mental health symptom prediction: Generalization across different longitudinal mobile sensing studies
Daniel A. Adler, Fei Wang, David C. Mohr, et al.
PLoS ONE (2022) Vol. 17, Iss. 4, pp. e0266516-e0266516
Open Access | Times Cited: 42
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: 30
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
Online social network individual depression detection using a multitask heterogenous modality fusion approach
Yiding Wang, Zhenyi Wang, Chenghao Li, et al.
Information Sciences (2022) Vol. 609, pp. 727-749
Closed Access | Times Cited: 27
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: 4
Detection of Depression Severity in Social Media Text Using Transformer-Based Models
Amna Qasim, Gull Mehak, Nisar Hussain, et al.
Information (2025) Vol. 16, Iss. 2, pp. 114-114
Open Access
Improving irony speech spreaders profiling on social networks using clustering & transformer based models
Leila Hazrati, Alireza Sokhandan, Leili Farzinvash
Language Resources and Evaluation (2025)
Closed Access
On the incidence of depression symptoms on social media
Esteban A. Ríssola, Mario Ezra Aragón, David E. Losada, et al.
Journal of Computational Social Science (2025) Vol. 8, Iss. 2
Open Access
An explainable ensemble model for revealing the level of depression in social media by considering personality traits and sentiment polarity pattern
Gede Aditra Pradnyana, Wiwik Anggraeni, Eko Mulyanto Yuniarno, et al.
Online Social Networks and Media (2025) Vol. 46, pp. 100307-100307
Closed Access
Tailored text augmentation for sentiment analysis
Zijian Feng, Hanzhang Zhou, Zixiao Zhu, et al.
Expert Systems with Applications (2022) Vol. 205, pp. 117605-117605
Closed Access | Times Cited: 20
Depressive semantic awareness from vlog facial and vocal streams via spatio-temporal transformer
Yongfeng Tao, Minqiang Yang, Yushan Wu, et al.
Digital Communications and Networks (2023) Vol. 10, Iss. 3, pp. 577-585
Open Access | Times Cited: 12
A psychological evaluation method incorporating noisy label correction mechanism
Zhigang Jin, R. Su, Yuhong Liu, et al.
Soft Computing (2024) Vol. 28, Iss. 11-12, pp. 7395-7407
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
What Can Facial Movements Reveal? Depression Recognition and Analysis Based on Optical Flow Using Bayesian Networks
Yu Ma, Jian Shen, Zeguang Zhao, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2023) Vol. 31, pp. 3459-3468
Open Access | Times Cited: 5
A hybrid group-based movie recommendation framework with overlapping memberships
Yasher Ali, Osman Khalid, Imran Ali Khan, et al.
PLoS ONE (2022) Vol. 17, Iss. 3, pp. e0266103-e0266103
Open Access | Times Cited: 9
Artificial Intelligence for Analyzing Psychiatric Disorders in Social Media: A Quarter-Century Narrative Review of Progress and Challenges (Preprint)
David Owen, Amy Lynham, Sophie E Smart, et al.
(2024)
Open Access | Times Cited: 1
Hybrid Approach for Enhanced Depression Detection using Learning Techniques
Ganesh D. Jadhav, Sachin D. Babar, Parikshit N. Mahalle
International Journal of Advanced Computer Science and Applications (2024) Vol. 15, Iss. 4
Open Access | Times Cited: 1
Parallel Multiscale Bridge Fusion Network for Audio-Visual Automatic Depression Assessment
Min Hu, Lei Liu, Xiaohua Wang, et al.
IEEE Transactions on Computational Social Systems (2024) Vol. 11, Iss. 5, pp. 6830-6842
Closed Access | Times Cited: 1
Does Social Media Feed Tell about Your Mental State? A Deep Randomised Neural Network Approach
Sachin Kumar, Zairu Nisha
2022 International Joint Conference on Neural Networks (IJCNN) (2022), pp. 1-8
Closed Access | Times Cited: 7
Detecting Emotion in Indonesian Tweets: A Term-Weighting Scheme Study
Kuncahyo Setyo Nugroho, Fitra A. Bachtiar, Wayan Firdaus Mahmudy
Journal of Information Systems Engineering and Business Intelligence (2022) Vol. 8, Iss. 1, pp. 61-70
Open Access | Times Cited: 4
Machine Learning for Depression Detection on Web and Social Media
Lin Gan, Yingqi Guo, Tao Yang
International Journal on Semantic Web and Information Systems (2024) Vol. 20, Iss. 1, pp. 1-28
Open Access
The influence of Twitter hashtags in building supportive online communities for parents of children with special needs
Mohamad Ahmad Saleem Khasawneh
Journal of Technology and Science Education (2024) Vol. 14, Iss. 3, pp. 770-770
Open Access
RSTFusionX: Leveraging Rhetorical Structure Theory and Ensemble Models for Depression Prediction in Social Media Posts
Sahar Ajmal, Muhammad Shoaib, Faiza Iqbal
IEEE Access (2024) Vol. 12, pp. 118389-118404
Open Access
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