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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 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

Showing 1-25 of 35 citing articles:

Optimized EWT-Seq2Seq-LSTM with Attention Mechanism to Insulators Fault Prediction
Anne Carolina Rodrigues Klaar, Stéfano Frizzo Stefenon, Laio Oriel Seman, et al.
Sensors (2023) Vol. 23, Iss. 6, pp. 3202-3202
Open Access | Times Cited: 54
Recognition model for major depressive disorder in Arabic user-generated content
Esraa M. Rabie, Atef F. Hashem, Fahad Kamal Alsheref
Beni-Suef University Journal of Basic and Applied Sciences (2025) Vol. 14, Iss. 1
Open Access | Times Cited: 2
KWHO-CNN: A Hybrid Metaheuristic Algorithm Based Optimzed Attention-Driven CNN for Automatic Clinical Depression Recognition
Priti Parag Gaikwad, M. Venkatesan
International Journal of Computational and Experimental Science and Engineering (2024) Vol. 10, Iss. 3
Open Access | Times Cited: 11
Cost-effective time-efficient subnational-level surveillance using Twitter: Kingdom of Saudi Arabia case study
Marwa K. Elteir
Deleted Journal (2025) Vol. 7, Iss. 1
Open Access | Times Cited: 1
Attention-Enabled Ensemble Deep Learning Models and Their Validation for Depression Detection: A Domain Adoption Paradigm
Jaskaran Singh, Narpinder Singh, Mostafa M. Fouda, et al.
Diagnostics (2023) Vol. 13, Iss. 12, pp. 2092-2092
Open Access | Times Cited: 15
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
Lightweight Multi‐Stage Holistic Attention‐Based Network for Image Super‐Resolution
Azrul Ghazali, Ahsan Fiaz, Muhammad Islam Satti
IET Image Processing (2025) Vol. 19, Iss. 1
Open Access
A systematic approach to detect the emotions from the text using novel bidirectional encoder representation from transformers algorithm and compare the accuracy with long short-term memory algorithm
S. Dilli, R. Senthil Kumar
AIP conference proceedings (2025) Vol. 3270, pp. 020122-020122
Closed Access
A Hybrid Deep Learning Framework and Dwarf Mangoose Optimized Layers for an Effective Depression Classification
K. Neeraja, G. Narsimha
International Journal of Computational and Experimental Science and Engineering (2025) Vol. 11, Iss. 2
Open Access
RNN-CNN Based Hybrid Deep Learning Model for Mental Healthcare
Sonali Chopra, Parul Agarwal, Jawed Ahmed, et al.
Algorithms for intelligent systems (2025), pp. 411-424
Closed Access
Sentiment analysis applications using deep learning advancements in social networks: A systematic review
Erfan Bakhtiari Ramezani
Neurocomputing (2025), pp. 129862-129862
Closed Access
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
The Influence of Digitization on the Dissemination of Traditional Chinese Music and Weibo Content Propagation Under Deep Learning
Jiaojing You
IEEE Access (2024) Vol. 12, pp. 13870-13877
Open Access | Times Cited: 2
Deep Learning for Mental Health Disorder Via Social Network Analysis
Anandakumar Haldorai, Babitha Lincy R, Suriya Murugan, et al.
EAI/Springer Innovations in Communication and Computing (2024), pp. 153-173
Closed Access | Times Cited: 2
Federated Learning and Deep Learning Framework for MRI Image and Speech Signal-Based Multi-Modal Depression Detection
Minakshee Patil, Prachi Mukherji, Vijay M. Wadhai
Computational Biology and Chemistry (2024) Vol. 113, pp. 108232-108232
Closed Access | Times Cited: 2
Predictive analytics in smart healthcare for child mortality prediction using a machine learning approach
Farrukh Iqbal, Muhammad Islam Satti, Azeem Irshad, et al.
Open Life Sciences (2023) Vol. 18, Iss. 1
Open Access | Times Cited: 6
The use of machine learning and deep learning models in detecting depression on social media: A systematic literature review
Wadzani Aduwamai Gadzama, Danlami Gabi, Musa Sule Argungu, et al.
Personalized Medicine in Psychiatry (2024) Vol. 45-46, pp. 100125-100125
Closed Access | Times Cited: 1
Studying infant mortality: A demographic analysis based on data mining models
Muhammad Islam Satti, Mir Wajid Ali, Azeem Irshad, et al.
Open Life Sciences (2023) Vol. 18, Iss. 1
Open Access | Times Cited: 3
Towards Personalised Mood Prediction and Explanation for Depression from Biophysical Data
Sobhan Chatterjee, Jyoti Mishra, Frederick Sundram, et al.
Sensors (2023) Vol. 24, Iss. 1, pp. 164-164
Open Access | Times Cited: 3
An effective framework to improve the managerial activities in global software development
S. Siddique, Naveed Muhammad, Atif Ali, et al.
Nonlinear Engineering (2023) Vol. 12, Iss. 1
Open Access | Times Cited: 2
Modified arithmetic optimization algorithm with Deep Learning based data analytics for depression detection
Nuha Alruwais, Hayam Alamro, Majdy M. Eltahir, et al.
AIMS Mathematics (2023) Vol. 8, Iss. 12, pp. 30335-30352
Open Access | Times Cited: 2
Evaluation of deep learning-based depression detection using medical claims data
Markus Bertl, Nzamba Bignoumba, Peeter Ross, et al.
Artificial Intelligence in Medicine (2023) Vol. 147, pp. 102745-102745
Closed Access | Times Cited: 2
Comparative Analysis of Machine Learning and Deep Learning Algorithms for Twitter-Based Depression Detection
Emanoel Santos, Lucas Lattari, Maurício Antônio de Oliveira Coelho, et al.
(2024), pp. 1-7
Open Access
Análisis del Lenguaje Natural para la Identificación de Alteraciones Mentales en Redes Sociales: Una Revisión Sistemática de Estudios
Ismael Leonardo Mieles Toloza, Jesús Armando Delgado Meza
Revista Politécnica (2024) Vol. 53, Iss. 1, pp. 57-72
Open Access
Depression Detection Using Multimodal Analysis with Chatbot Support
A. Sharma, Anuradha Saxena, Ashok Kumar, et al.
(2024), pp. 328-334
Closed Access
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