Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Explainable depression detection with multi-aspect features using a hybrid deep learning model on social media
Hamad Zogan, Imran Razzak, Xianzhi Wang, et al.
World Wide Web (2022) Vol. 25, Iss. 1, pp. 281-304
Open Access | Times Cited: 105

Showing 26-50 of 105 citing articles:

Enhancing user sequence representation with cross-view collaborative learning for depression detection on Sina Weibo
Zhenwen Zhang, Zepeng Li, Jianghong Zhu, et al.
Knowledge-Based Systems (2024) Vol. 293, pp. 111650-111650
Closed Access | Times Cited: 4
Depression Classification using Bert Embedding Model on Social Media Posts
R. Nareshkumar, K. Nimala
Journal of Machine and Computing (2025), pp. 474-482
Closed Access
KICAT: achieving high accuracy in cross-domain aspect classification with a novel transformer approach
T Kumaragurubaran, Sunil Kumar, Pushpendra Kumar, et al.
Signal Image and Video Processing (2025) Vol. 19, Iss. 3
Closed 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
An Encoder-Only Transformer Model for Depression Detection from Social Network Data: The DEENT Approach
Robinson Narvaez Burbano, Oscar Maurício Caicedo Rendón, Carlos A. Astudillo
Applied Sciences (2025) Vol. 15, Iss. 6, pp. 3358-3358
Open Access
FGVIrony: A Chinese Dataset of Fine-grained Verbal Irony
Zhiyuan Wen, Rui Wang, Qianlong Wang, et al.
Information Processing & Management (2025) Vol. 62, Iss. 5, pp. 104169-104169
Closed Access
Modality independent federated multimodal classification system detached EEG, audio and text data for IID and non-IID conditions
Chetna Gupta, Vikas Khullar
Biomedical Signal Processing and Control (2025) Vol. 108, pp. 107938-107938
Closed Access
Emotion-Based Reinforcement Attention Network for Depression Detection on Social Media: Algorithm Development and Validation
Bin Cui, Jian Wang, Hongfei Lin, et al.
JMIR Medical Informatics (2022) Vol. 10, Iss. 8, pp. e37818-e37818
Open Access | Times Cited: 18
Automated detection of depression using wavelet scattering networks
Nishant Sharma, Manish Sharma, Jimit Tailor, et al.
Medical Engineering & Physics (2024) Vol. 124, pp. 104107-104107
Closed Access | Times Cited: 3
A comprehensive review of explainable AI for disease diagnosis
Al Amin Biswas
Array (2024) Vol. 22, pp. 100345-100345
Open Access | Times Cited: 3
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: 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
Sentiment analysis applications using deep learning advancements in social networks: A systematic review
Erfan Bakhtiari Ramezani
Neurocomputing (2025), pp. 129862-129862
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
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
Enhancing Mental Health Diagnosis with DA-TabSVM: A Multi-Class Hybrid Approach for Detecting Depression and Anxiety
Priyanka Arora, Sonika Dahiya
Procedia Computer Science (2025) Vol. 258, pp. 1348-1364
Open Access
CAIINET: Neural network based on contextual attention and information interaction mechanism for depression detection
Li Zhou, Zhenyu Liu, Xiaoyan Yuan, et al.
Digital Signal Processing (2023) Vol. 137, pp. 103986-103986
Closed Access | Times Cited: 9
Toward Label-Efficient Emotion and Sentiment Analysis
Sicheng Zhao, Xiaopeng Hong, Jufeng Yang, et al.
Proceedings of the IEEE (2023) Vol. 111, Iss. 10, pp. 1159-1197
Closed Access | Times Cited: 9
Fast Detection and Classification of Dangerous Urban Sounds Using Deep Learning
Zeinel Momynkulov, Zhandos Dosbayev, Azizah Suliman, et al.
Computers, materials & continua/Computers, materials & continua (Print) (2023) Vol. 75, Iss. 1, pp. 2191-2208
Open Access | Times Cited: 8
Unraveling minds in the digital era: a review on mapping mental health disorders through machine learning techniques using online social media
Aysha Khan, Rashid Ali
Social Network Analysis and Mining (2024) Vol. 14, Iss. 1
Closed Access | Times Cited: 3
Trusted commonsense knowledge enhanced depression detection based on three-way decision
Jie Chen, Hui Yao, Zhao Shu, et al.
Expert Systems with Applications (2024) Vol. 263, pp. 125671-125671
Closed Access | Times Cited: 3
A deep learning approach for the depression detection of social media data with hybrid feature selection and attention mechanism
M. Bhuvaneswari, V. Lakshmi Prabha
Expert Systems (2023) Vol. 40, Iss. 9
Closed Access | Times Cited: 7
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: 2
Cross-Silo, Privacy-Preserving, and Lightweight Federated Multimodal System for the Identification of Major Depressive Disorder Using Audio and Electroencephalogram
Chetna Gupta, Vikas Khullar, Nitin Goyal, et al.
Diagnostics (2023) Vol. 14, Iss. 1, pp. 43-43
Open Access | Times Cited: 6
Explainable Deep Learning for Mental Health Detection from English and Arabic Social Media Posts
Abhinav Kumar, Jyoti Kumari, Jiesth Pradhan
ACM Transactions on Asian and Low-Resource Language Information Processing (2023)
Open Access | Times Cited: 5

Scroll to top