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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:

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

Showing 1-25 of 45 citing articles:

Pathways for Design Research on Artificial Intelligence
Ahmed Abbasi, Jeffrey Parsons, Gautam Pant, et al.
Information Systems Research (2024) Vol. 35, Iss. 2, pp. 441-459
Closed Access | Times Cited: 16
Responsible Artificial Intelligence for Mental Health Disorders: Current Applications and Future Challenges
Shaker El–Sappagh, Waleed Nazih, Meshal Alharbi, et al.
Deleted Journal (2025) Vol. 4, Iss. 1
Closed Access | Times Cited: 1
Voice and chatbot: A hybrid framework using XAI for improving mental health
Debmitra Ghosh, Sayani Ghatak, Hrithik Paul
Elsevier eBooks (2025), pp. 179-205
Closed Access
AI-driven social media text analysis during crisis: A review for natural disasters and pandemics
Junaid Abdul Wahid, Mingliang Xu, Muhammad Ayoub, et al.
Applied Soft Computing (2025) Vol. 171, pp. 112774-112774
Closed Access
Title: Basic Emotion Detection Accuracy Using Artificial Intelligence Approaches in Facial Emotions Recognition System: A Systematic Review.
Chia-Feng Hsu, Sriyani Padmalatha Konara Mudiyanselage, Rismia Agustina, et al.
Applied Soft Computing (2025), pp. 112867-112867
Closed Access
Intelligent Internet of Medical Things for Depression: Current Advancements, Challenges, and Trends
Md Belal Bin Heyat, Deepak Adhikari, Faijan Akhtar, et al.
International Journal of Intelligent Systems (2025) Vol. 2025, Iss. 1
Open Access
Heterogeneous subgraph network with prompt learning for interpretable depression detection on social media
Chen Chen, Fenghuan Li, Haopeng Chen, et al.
Knowledge-Based Systems (2025), pp. 113215-113215
Open Access
Early Depression Detection from Social Media: State-of-the-Art Approaches
A. Alsaedi, Wael M. S. Yafooz
Studies in computational intelligence (2025), pp. 61-75
Closed Access
Fine-Tuning and Efficacy Assessment of BERT-Based Models in Detecting Early Signs of Depression
Vaibhav Kumar, Vibhav Prakash Singh
Communications in computer and information science (2025), pp. 371-383
Closed 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
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
A systematic literature review and analysis of deep learning algorithms in mental disorders
Goli Arji, Leila Erfannia, Samira alirezaei, et al.
Informatics in Medicine Unlocked (2023) Vol. 40, pp. 101284-101284
Open Access | Times Cited: 7
Depression clinical detection model based on social media: a federated deep learning approach
Yang Liu
The Journal of Supercomputing (2023) Vol. 80, Iss. 6, pp. 7931-7954
Open Access | Times Cited: 7
Systemization of Knowledge (SoK): Creating a Research Agenda for Human-Centered Real-Time Risk Detection on Social Media Platforms
Ashwaq Alsoubai, Jinkyung Park, S. A. Qadir, et al.
(2024), pp. 1-21
Open Access | Times Cited: 2
Classification of Depression and Its Severity Based on Multiple Audio Features Using a Graphical Convolutional Neural Network
Momoko Ishimaru, Yoshifumi Okada, Ryunosuke Uchiyama, et al.
International Journal of Environmental Research and Public Health (2023) Vol. 20, Iss. 2, pp. 1588-1588
Open Access | Times Cited: 5
Exploratory analysis of suicidal tendency in depression investigation social media post
MD IFTEKHARUL MOBIN, M. F. Mridha, S. M. HASAN MAHMUD
Research Square (Research Square) (2024)
Open Access | Times Cited: 1
Language Models for Online Depression Detection: A Review and Benchmark Analysis on Remote Interviews
Ruiyang Qin, Ryan Cook, Kai Yang, et al.
ACM Transactions on Management Information Systems (2024)
Open Access | Times Cited: 1
Linguistic Analysis for Identifying Depression and Subsequent Suicidal Ideation on Weibo: Machine Learning Approaches
Wei Pan, Xianbin Wang, Wenwei Zhou, et al.
International Journal of Environmental Research and Public Health (2023) Vol. 20, Iss. 3, pp. 2688-2688
Open Access | Times Cited: 4
Uncovering the heterogeneous effects of depression on suicide risk conditioned by linguistic features: A double machine learning approach
Sijia Li, Wei Pan, Paul Yip, et al.
Computers in Human Behavior (2023) Vol. 152, pp. 108080-108080
Closed Access | Times Cited: 4
An Empirical Mode Decomposition-Based Hybrid Model for Sub-Hourly Load Forecasting
Chuang Yin, Nan Wei, Jinghang Wu, et al.
Energies (2024) Vol. 17, Iss. 2, pp. 307-307
Open Access | Times Cited: 1
Utilizing K-Means Clustering for the Detection of Cyberbullying Within Instagram Comments
Ahmad Muhariya, Imam Riadi, Yudi Prayudi, et al.
Ingénierie des systèmes d information (2023) Vol. 28, Iss. 4, pp. 939-949
Open Access | Times Cited: 3
Towards Implementation of Emotional Intelligence in Human–Machine Collaborative Systems
Miroslav Markov, Yasen Kalinin, Valentina Markova, et al.
Electronics (2023) Vol. 12, Iss. 18, pp. 3852-3852
Open Access | Times Cited: 2
Revolutionizing Generalized Anxiety Disorder Detection using a Deep Learning Approach with MGADHF Architecture on Social Media
Faisal Alshanketi
International Journal of Advanced Computer Science and Applications (2024) Vol. 15, Iss. 1
Open Access
From Detection to Empowerment: Integrating a context-aware coping strategies recommendations tool into an automatic depression detection system in social networks
Nawal Sad-Houari, Djamila Benhaddouche, Marwa Alioua, et al.
International Journal of Information Technology (2024)
Closed Access
Artificial intelligence in the detection and treatment of depressive disorders: a narrative review of literature
Fabiana Ricci, Daniela Giallanella, Costanza Gaggiano, et al.
International Review of Psychiatry (2024), pp. 1-13
Closed Access
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