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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:

Explainable depression detection with multi-aspect features using a hybrid deep learning model on social media
Hamad Zogan, Imran Razzak, Xianzhi Wang, et al.
World Wide Web (2022) Vol. 25, Iss. 1, pp. 281-304
Open Access | Times Cited: 105

Showing 1-25 of 105 citing articles:

An hybrid deep learning approach for depression prediction from user tweets using feature-rich CNN and bi-directional LSTM
Harnain Kour, Manoj Gupta
Multimedia Tools and Applications (2022) Vol. 81, Iss. 17, pp. 23649-23685
Open Access | Times Cited: 98
A Novel Text Mining Approach for Mental Health Prediction Using Bi-LSTM and BERT Model
Kamil Zeberga, Muhammad Attique, Babar Shah, et al.
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-18
Open Access | Times Cited: 85
Mental Health Analysis in Social Media Posts: A Survey
Muskan Garg
Archives of Computational Methods in Engineering (2023) Vol. 30, Iss. 3, pp. 1819-1842
Open Access | Times Cited: 69
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: 23
Unveiling the prevalence and risk factors of early stage postpartum depression: a hybrid deep learning approach
Umesh Kumar Lilhore, Surjeet Dalal, Neetu Faujdar, et al.
Multimedia Tools and Applications (2024) Vol. 83, Iss. 26, pp. 68281-68315
Closed Access | Times Cited: 19
Depression Sentiment Analysis using Machine Learning Techniques:A Review
Ashwani Kumar, Sunita Beniwal
International Journal of Computational and Experimental Science and Engineering (2025) Vol. 11, Iss. 1
Open Access | Times Cited: 2
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
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
Convergence of Artificial Intelligence with Social Media: A Bibliometric & Qualitative Analysis
Tahereh Saheb, Mouwafac Sidaoui, Bill Schmarzo
Telematics and Informatics Reports (2024) Vol. 14, pp. 100146-100146
Open Access | Times Cited: 11
Unlocking the black box: an in-depth review on interpretability, explainability, and reliability in deep learning
Emrullah Şahin, Naciye Nur Arslan, Durmuş Özdemir
Neural Computing and Applications (2024)
Closed Access | Times Cited: 10
Depression Detection Based on Hybrid Deep Learning SSCL Framework Using Self-Attention Mechanism: An Application to Social Networking Data
Aleena Nadeem, Muhammad Naveed, Muhammad Islam Satti, et al.
Sensors (2022) Vol. 22, Iss. 24, pp. 9775-9775
Open Access | Times Cited: 35
High-Density Electroencephalography and Speech Signal Based Deep Framework for Clinical Depression Diagnosis
Abdul Qayyum, Imran Razzak, M. Tanveer, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics (2023) Vol. 20, Iss. 4, pp. 2587-2597
Closed Access | Times Cited: 20
A comprehensive review of predictive analytics models for mental illness using machine learning algorithms
Md. Monirul Islam, Shahriar Hassan, Sharmin Akter, et al.
Healthcare Analytics (2024) Vol. 6, pp. 100350-100350
Open Access | Times Cited: 8
Leveraging ChatGPT to optimize depression intervention through explainable deep learning
Yang Liu, Xingchen Ding, Shun Peng, et al.
Frontiers in Psychiatry (2024) Vol. 15
Open Access | Times Cited: 7
An optimized deep learning approach for suicide detection through Arabic tweets
Nadiah A. Baghdadi, Amer Malki, Hossam Magdy Balaha, et al.
PeerJ Computer Science (2022) Vol. 8, pp. e1070-e1070
Open Access | Times Cited: 26
Deep Learning for Depression Detection Using Twitter Data
Doaa Sami Khafaga, Maheshwari Auvdaiappan, K. Deepa, et al.
Intelligent Automation & Soft Computing (2023) Vol. 36, Iss. 2, pp. 1301-1313
Open Access | Times Cited: 16
Hierarchical Convolutional Attention Network for Depression Detection on Social Media and Its Impact During Pandemic
Hamad Zogan, Imran Razzak, Shoaib Jameel, et al.
IEEE Journal of Biomedical and Health Informatics (2023) Vol. 28, Iss. 4, pp. 1815-1823
Open Access | Times Cited: 16
A Multimodal Framework for Depression Detection During COVID-19 via Harvesting Social Media
Ashutosh Anshul, G. Pranav, Mohammad Zia Ur Rehman, et al.
IEEE Transactions on Computational Social Systems (2023) Vol. 11, Iss. 2, pp. 2872-2888
Closed Access | Times Cited: 13
Hybrid black-box classification for customer churn prediction with segmented interpretability analysis
Arno De Caigny, Koen W. De Bock, Sam Verboven
Decision Support Systems (2024) Vol. 181, pp. 114217-114217
Closed Access | Times Cited: 5
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
A systematic review on automated clinical depression diagnosis
Kaining Mao, Yuqi Wu, Jie Chen
npj Mental Health Research (2023) Vol. 2, Iss. 1
Open Access | Times Cited: 12
Automated Text-based Depression Detection using Hybrid ConvLSTM and Bi-LSTM Model
Neda Firoz, Olga Grigorievna Beresteneva, Aksyonov Sergey Vladimirovich, et al.
(2023), pp. 734-740
Closed 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
Depressive Disorder Recognition Based on Frontal EEG Signals and Deep Learning
Yanting Xu, Hongyang Zhong, Shangyan Ying, et al.
Sensors (2023) Vol. 23, Iss. 20, pp. 8639-8639
Open Access | Times Cited: 11
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