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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:

Fair and Explainable Depression Detection in Social Media
V. Adarsh, Pradeep Kumar, V. Lavanya, et al.
Information Processing & Management (2022) Vol. 60, Iss. 1, pp. 103168-103168
Closed Access | Times Cited: 37

Showing 1-25 of 37 citing articles:

Responsible Artificial Intelligence for Mental Health Disorders: Current Applications and Future Challenges
Shaker El–Sappagh, Waleed Nazih, Meshal Alharbi, et al.
Deleted Journal (2025) Vol. 4, Iss. 1
Closed Access | Times Cited: 1
Leveraging Domain Knowledge to Improve Depression Detection on Chinese Social Media
Zhihua Guo, Nengneng Ding, Minyu Zhai, et al.
IEEE Transactions on Computational Social Systems (2023) Vol. 10, Iss. 4, pp. 1528-1536
Closed Access | Times Cited: 23
Increasing trust and value of mobile advertising in retailing: A survey design, machine learning approach, and blockchain in the trust path
Ava Hajian, Russell Sadeghi, Victor R. Prybutok, et al.
Journal of Retailing and Consumer Services (2024) Vol. 79, pp. 103794-103794
Closed Access | Times Cited: 11
Leveraging enhanced BERT models for detecting suicidal ideation in Thai social media content amidst COVID-19
Panchanit Boonyarat, Di Jie Liew, Yung‐Chun Chang
Information Processing & Management (2024) Vol. 61, Iss. 4, pp. 103706-103706
Closed Access | Times Cited: 8
Mental stress detection from ultra-short heart rate variability using explainable graph convolutional network with network pruning and quantisation
V. Adarsh, G. R. Gangadharan
Machine Learning (2024) Vol. 113, Iss. 8, pp. 5467-5494
Closed Access | Times Cited: 5
A comprehensive study on fidelity metrics for XAI
Miquel Miró-Nicolau, Antoni Jaume-i-Capó, Gabriel Moyà-Alcover
Information Processing & Management (2024) Vol. 62, Iss. 1, pp. 103900-103900
Open Access | Times Cited: 5
PHQ-aware depressive symptoms identification with similarity contrastive learning on social media
Tianlin Zhang, Kailai Yang, Hassan Alhuzali, et al.
Information Processing & Management (2023) Vol. 60, Iss. 5, pp. 103417-103417
Open Access | Times Cited: 15
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
Sentiment Informed Sentence BERT-Ensemble Algorithm for Depression Detection
Bayode Ogunleye, Hemlata Sharma, Olamilekan Shobayo
(2024)
Open Access | Times Cited: 4
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: 4
Microblog discourse analysis for parenting style assessment
Zihan Wei, Lei Cao, Zhihong Qiao, et al.
Frontiers in Public Health (2025) Vol. 13
Open 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
Fine-Tuning and Efficacy Assessment of BERT-Based Models in Detecting Early Signs of Depression
Vaibhav Kumar, Vibhav Prakash Singh
Communications in computer and information science (2025), pp. 371-383
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
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
Identifying emotional causes of mental disorders from social media for effective intervention
Yunji Liang, Lei Liu, Yapeng Ji, et al.
Information Processing & Management (2023) Vol. 60, Iss. 4, pp. 103407-103407
Open Access | Times Cited: 10
Innovative Use of Self-Attention-Based Ensemble Deep Learning for Suicide Risk Detection in Social Media Posts
Hoan-Suk Choi, Jinhong Yang
Applied Sciences (2024) Vol. 14, Iss. 2, pp. 893-893
Open Access | Times Cited: 3
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
Achieving EEG-based depression recognition using Decentralized-Centralized structure
Xuexiao Shao, Ming Ying, Jing Zhu, et al.
Biomedical Signal Processing and Control (2024) Vol. 95, pp. 106402-106402
Closed Access | Times Cited: 1
Artificial Intelligence-Based Suicide Prevention and Prediction: A Systematic Review (2019-2023)
Anirudh Atmakuru, Alen Shahini, Subrata Chakraborty, et al.
(2024)
Closed 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
Detecting adolescent depression in social media: A hierarchical ensemble learning approach
Tianyu Sheng, Wenzhen Cai, Junlin Huang, et al.
Theoretical and Natural Science (2024) Vol. 43, Iss. 1, pp. 312-325
Open Access | Times Cited: 1
Impact of Artificial Intelligence in Nursing for Geriatric Clinical Care for Chronic Diseases: A Systematic Literature Review
Mahdieh Poodineh Moghadam, Zabih Allah Moghadam, Mohammad Reza Chalak Qazani, et al.
IEEE Access (2024) Vol. 12, pp. 122557-122587
Open Access | Times Cited: 1
Sentiment Informed Sentence BERT-Ensemble Algorithm for Depression Detection
Bayode Ogunleye, Hemlata Sharma, Olamilekan Shobayo
Big Data and Cognitive Computing (2024) Vol. 8, Iss. 9, pp. 112-112
Open Access | Times Cited: 1
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