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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 from Social Media Text Analysis using Natural Language Processing Techniques and Hybrid Deep Learning Model
Vankayala Tejaswini, Korra Sathya Babu, Bibhudatta Sahoo
ACM Transactions on Asian and Low-Resource Language Information Processing (2022) Vol. 23, Iss. 1, pp. 1-20
Closed Access | Times Cited: 34

Showing 1-25 of 34 citing articles:

Physics-Constrained Three-Dimensional Swin Transformer for Gravity Data Inversion
Ping Yu, Longran Zhou, Shuai Zhou, et al.
Remote Sensing (2025) Vol. 17, Iss. 1, pp. 113-113
Open Access
Enhancing Arabic text-to-speech synthesis for emotional expression in visually impaired individuals using the artificial hummingbird and hybrid deep learning model
Mahmoud Selim, Mohammed Assiri
Alexandria Engineering Journal (2025) Vol. 119, pp. 493-502
Closed 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
Advancing depression detection on social media platforms through fine-tuned large language models
Shahid Munir Shah, Syeda Anshrah Gillani, Mirza Baig, et al.
Online Social Networks and Media (2025) Vol. 46, pp. 100311-100311
Closed Access
Deep learning in medicine: advancing healthcare with intelligent solutions and the future of holography imaging in early diagnosis
Asifa Nazir, Ahsan Hussain, Mandeep Singh, et al.
Multimedia Tools and Applications (2024)
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
Sentiment analysis applications using deep learning advancements in social networks: A systematic review
Erfan Bakhtiari Ramezani
Neurocomputing (2025), pp. 129862-129862
Closed Access
EEGDepressionNet: A Novel Self Attention-Based Gated DenseNet With Hybrid Heuristic Adopted Mental Depression Detection Model Using EEG Signals
Mustufa Haider Abidi, Khaja Moiduddin, Rashid Ayub, et al.
IEEE Journal of Biomedical and Health Informatics (2024) Vol. 28, Iss. 9, pp. 5168-5179
Closed Access | Times Cited: 2
Detection of the Severity Level of Depression Signs in Text Combining a Feature-Based Framework with Distributional Representations
Sergio Muñoz, Carlos Á. Iglesias
Applied Sciences (2023) Vol. 13, Iss. 21, pp. 11695-11695
Open Access | Times Cited: 5
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
Toward Early Detection of Depression: Detecting Depression Symptoms in Arabic Tweets Using Pretrained Transformers
Suzan Elmajali, Irfan Ahmad
IEEE Access (2024) Vol. 12, pp. 88134-88145
Open Access | Times Cited: 1
Automatic depression prediction via cross-modal attention-based multi-modal fusion in social networks
Lidong Wang, Yin Zhang, Bin Zhou, et al.
Computers & Electrical Engineering (2024) Vol. 118, pp. 109413-109413
Closed Access | Times Cited: 1
Applying natural language processing to patient messages to identify depression concerns in cancer patients
Marieke van Buchem, Anne de Hond, Claudio Fanconi, et al.
Journal of the American Medical Informatics Association (2024) Vol. 31, Iss. 10, pp. 2255-2262
Closed Access | Times Cited: 1
Detection of Depression in Social Media Posts using Emotional Intensity Analysis
M. Kiran Myee, R. Deepthi Crestose Rebekah, T K Deepa, et al.
Engineering Technology & Applied Science Research (2024) Vol. 14, Iss. 5, pp. 16207-16211
Open Access | Times Cited: 1
Screening for Depression Using Natural Language Processing: Literature Review
Bazen Gashaw Teferra, Alice Rueda, Hilary Pang, et al.
Interactive Journal of Medical Research (2024) Vol. 13, pp. e55067-e55067
Open Access | Times Cited: 1
Web-Enhanced Vision Transformers and Deep Learning for Accurate Event-Centric Management Categorization in Education Institutions
Khalied M. Albarrak, Shaymaa E. Sorour
Systems (2024) Vol. 12, Iss. 11, pp. 475-475
Open Access | Times Cited: 1
Review and content analysis of textual expressions as a marker for depressive and anxiety disorders (DAD) detection using machine learning
Chandra Mani Sharma, Darsh Damani, Vijayaraghavan M. Chariar
Discover Artificial Intelligence (2023) Vol. 3, Iss. 1
Open Access | Times Cited: 2
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
Predicting the Transition From Depression to Suicidal Ideation Using Facebook Data Among Indian-Bangladeshi Individuals: Protocol for a Cohort Study
Manoshi Das Turjo, Khushboo Suchit Mundada, Nuzhat Jabeen Haque, et al.
JMIR Research Protocols (2024) Vol. 13, pp. e55511-e55511
Open Access
Convolution SSM model for text emotion classification
Jiaxin Shi, Mingyue Xiang
(2024), pp. 89-89
Closed 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
Utilizing Large Language Models to Detect Depression from User-Generated Diary text data: A Novel Approach in Digital Mental Health Screening (Preprint)
Daun Shin, Hyoseung Kim, Seunghwan Lee, et al.
Journal of Medical Internet Research (2024) Vol. 26, pp. e54617-e54617
Open Access
The Integration of Artificial Intelligence in Advanced Wastewater Treatment Systems
Manoj Chandra Garg, Sheetal Kumari, Smriti Agarwal
Springer water (2024), pp. 1-27
Closed Access
Analyzing Public Concerns on Mpox Using Natural Language Processing and Text Mining Approaches
V. S. Anoop
Advances in computational intelligence and robotics book series (2024), pp. 309-330
Closed Access
Using Machine Learning to Track Disability Discourse on Social Media
Sandra Kumi, Charles C. Snow, Joseph Marfo-Gyimah, et al.
(2024), pp. 141-150
Closed Access
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