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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 for Suicide and Depression Identification with Unsupervised Label Correction
Ayaan Haque, Viraaj Reddi, Tyler Giallanza
Lecture notes in computer science (2021), pp. 436-447
Closed Access | Times Cited: 31

Showing 1-25 of 31 citing articles:

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: 66
Mental-LLM
Xuhai Xu, Bingsheng Yao, Yuanzhe Dong, et al.
Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies (2024) Vol. 8, Iss. 1, pp. 1-32
Open Access | Times Cited: 37
Mental-LLM: Leveraging Large Language Models for Mental Health Prediction via Online Text Data
Xuhai Xu, Bingsheng Yao, Yuanzhe Dong, et al.
arXiv (Cornell University) (2023)
Open Access | Times Cited: 27
Large Language Models in Mental Health Care: A Systematic Scoping Review (Preprint)
Yining Hua, Fenglin Liu, Kailai Yang, et al.
(2024)
Closed Access | Times Cited: 10
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 BERT-encoded ensembled CNN model for suicide risk identification in social media posts
Joy Gorai, Dilip Kumar Shaw
Neural Computing and Applications (2024) Vol. 36, Iss. 18, pp. 10955-10970
Closed Access | Times Cited: 4
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
Temporal Emotional and Thematic Progression (TETP): A Novel Analysis of Mental Health Discussions on Social Platforms
Sharath Kumar Jagannathan, Gulhan Bizel
Communications in computer and information science (2025), pp. 336-353
Closed Access
OPI@LT-EDI-ACL2022: Detecting Signs of Depression from Social Media Text using RoBERTa Pre-trained Language Models
Rafał Poświata, Michał Perełkiewicz
(2022), pp. 276-282
Open Access | Times Cited: 20
Detecting Mental Distresses Using Social Behavior Analysis in the Context of COVID-19: A Survey
Sahraoui Dhelim, Liming Chen, Sajal K. Das, et al.
ACM Computing Surveys (2023) Vol. 55, Iss. 14s, pp. 1-30
Open Access | Times Cited: 10
Reading Between the Frames: Multi-modal Depression Detection in Videos from Non-verbal Cues
David Gimeno-Gómez, Ana-Maria Bucur, Adrian Cosma, et al.
Lecture notes in computer science (2024), pp. 191-209
Closed Access | Times Cited: 3
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
Facial image analysis for automated suicide risk detection with deep neural networks
Amr E. Eldin Rashed, Ahmed E. Mansour Atwa, Ali Mohammed Saleh Ahmed, et al.
Artificial Intelligence Review (2024) Vol. 57, Iss. 10
Open Access | Times Cited: 2
Towards Mental Health Analysis in Social Media for Low-resourced Languages
Muskan Garg
ACM Transactions on Asian and Low-Resource Language Information Processing (2023) Vol. 23, Iss. 3, pp. 1-22
Closed Access | Times Cited: 4
A computational model for assisting individuals with suicidal ideation based on context histories
Derick M. Rentz, Wesllei Felipe Heckler, Jorge Luís Victória Barbosa
Universal Access in the Information Society (2023) Vol. 23, Iss. 3, pp. 1447-1466
Closed Access | Times Cited: 4
DepressionOne@LT-EDI-ACL2022: Using Machine Learning with SMOTE and Random UnderSampling to Detect Signs of Depression on Social Media Text.
Suman Dowlagar, Radhika Mamidi
(2022), pp. 301-305
Open Access | Times Cited: 6
Multi-class categorization of reasons behind mental disturbance in long texts
Muskan Garg
Knowledge-Based Systems (2023) Vol. 276, pp. 110742-110742
Open Access | Times Cited: 3
Suicide Ideation Detection on Social Networks: Short Literature Review
Sara Lasri, El Habib Nfaoui, Fatima El Haoussi
Procedia Computer Science (2022) Vol. 215, pp. 713-721
Open Access | Times Cited: 5
Detecting Depression from Social Media Data as a Multiple-Instance Learning Task
Paulo Mann, Elton H. Matsushima, Aline Paes
(2022)
Closed Access | Times Cited: 3
Knowledge-Infused Dynamic Embedding for Predicting the Severity of Suicidal Ideation in Social Media
David Lee, Hamidreza Moradi
2021 International Conference on Computational Science and Computational Intelligence (CSCI) (2022), pp. 760-766
Closed Access | Times Cited: 3
An evolutionary approach for depression detection from Twitter big data using a novel deep learning model with attention based feature learning mechanism
K. Ram Prabhakar, V. Kavitha
Automatika (2024) Vol. 65, Iss. 2, pp. 441-453
Open Access
DepBoost-TransNet: Boosted Transformer Network for Depression Classification
Pratik Anil Rahood, Prasanna Kumar Kumaresan, Bharathi Raja Chakravarthi
Communications in computer and information science (2024), pp. 110-128
Closed Access
AI-Powered Mental Health Diagnosis: A Comprehensive Exploration of Machine and Deep Learning Techniques
M. S. Supriya, Antham Aniket, Rakshitha N. M, et al.
(2024), pp. 1-6
Closed Access
3M-Health: Multimodal Multi-Teacher Knowledge Distillation for Mental Health Detection
Rina Carines Cabral, Siwen Luo, Josiah Poon, et al.
(2024), pp. 152-162
Open Access
Large Language Models in Mental Healthcare Applications: A Survey
Abhishek Pandey, Sanjay Kumar
Lecture notes in networks and systems (2024), pp. 191-205
Closed Access
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