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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:

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

Showing 1-25 of 98 citing articles:

An attention-based CNN-BiLSTM model for depression detection on social media text
Joel Philip Thekkekara, Sira Yongchareon, Veronica Liesaputra
Expert Systems with Applications (2024) Vol. 249, pp. 123834-123834
Open Access | Times Cited: 22
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
Prevalence and risk factors analysis of postpartum depression at early stage using hybrid deep learning model
Umesh Kumar Lilhore, Surjeet Dalal, Neeraj Varshney, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 16
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
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
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
Time series forecasting and anomaly detection using deep learning
Amjad Iqbal, Rashid Amin
Computers & Chemical Engineering (2023) Vol. 182, pp. 108560-108560
Closed Access | Times Cited: 21
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
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
A self-attention TCN-based model for suicidal ideation detection from social media posts
Seyedeh Leili Mirtaheri, Sergio Greco, Reza Shahbazian
Expert Systems with Applications (2024) Vol. 255, pp. 124855-124855
Open Access | Times Cited: 5
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
A Hybrid BERT-CNN Approach for Depression Detection on Social Media Using Multimodal Data
Rohit Beniwal, Pavi Saraswat
The Computer Journal (2024) Vol. 67, Iss. 7, pp. 2453-2472
Closed Access | Times Cited: 4
Novel Transformer Based Contextualized Embedding and Probabilistic Features for Depression Detection From Social Media
Muhammad Asad Abbas, Kashif Munir, Ali Raza, et al.
IEEE Access (2024) Vol. 12, pp. 54087-54100
Open Access | Times Cited: 4
STFS_TF-IDF _HDSM: semantic and textual feature scaling using TF-IDF based sentiment analysis with Hybrid Deep Sequential Model
F. Kareem, Ahmed J. Obaid
International Journal of Information Technology (2025)
Closed Access
DECEN: A deep learning model enhanced by depressive emotions for depression detection from social media content
Zhijun Yan, Fei Peng, Dongsong Zhang
Decision Support Systems (2025), pp. 114421-114421
Closed Access
Analyzing Social Media Status to Predict Depression by NLP and ML
Pramoda Patro, Thulasi Bikku, Harinadh Karimikonda, et al.
IGI Global eBooks (2025), pp. 37-50
Closed Access
Tweet Depression Analysis Using Deep Learning Techniques
A Hemanth, M. S. Kovid, S. Vinay, et al.
Lecture notes in computer science (2025), pp. 105-115
Closed Access
Ensemble of hybrid model based technique for early detecting of depression based on SVM and neural networks
Dip Kumar Saha, Tuhin Hossain, Mejdl Safran, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 3
Mining Suicidal Ideation in Chinese Social Media: A Dual-Channel Deep Learning Model with Information Gain Optimization
Xiuyang Meng, Xiaohui Cui, Yue Zhang, et al.
Entropy (2025) Vol. 27, Iss. 2, pp. 116-116
Open Access
Dwarf Updated Pelican Optimization Algorithm for Depression and Suicide Detection from Social Media
Divya Agarwal, Vijay Singh, Ashwini Kumar Singh, et al.
Psychiatric Quarterly (2025)
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 Survey of Current Progress in Depression Detection Using Deep Learning and Machine Learning
Meena Kumari, Gurpreet Singh, Sagar Dhanraj Pande
Deleted Journal (2025)
Closed Access
Depression detection in read and spontaneous speech: A Multimodal approach for lesser-resourced languages
Klara Daly, Oluwafemi Olukoya
Biomedical Signal Processing and Control (2025) Vol. 108, pp. 107959-107959
Open Access
A Deep Learning Approach to Unveil Types of Mental Illness by Analyzing Social Media Posts
Rajashree Dash, Spandan Udgata, R. Mohapatra, et al.
Mathematical and Computational Applications (2025) Vol. 30, Iss. 3, pp. 49-49
Open Access
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