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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 Networks Data Based on Machine Learning and Deep Learning Techniques: An Interrogative Survey
Khan Md. Hasib, Md Rafiqul Islam, Shadman Sakib, et al.
IEEE Transactions on Computational Social Systems (2023) Vol. 10, Iss. 4, pp. 1568-1586
Closed Access | Times Cited: 54

Showing 1-25 of 54 citing articles:

AI-powered ensemble machine learning to optimize cost strategies in logistics business
Chairote Yaiprasert, Achmad Nizar Hidayanto
International Journal of Information Management Data Insights (2023) Vol. 4, Iss. 1, pp. 100209-100209
Open Access | Times Cited: 37
Data oversampling and imbalanced datasets: an investigation of performance for machine learning and feature engineering
Muhammad Mujahid, Erol Kına, Furqan Rustam, et al.
Journal Of Big Data (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 12
Multimodal Mental Health Digital Biomarker Analysis From Remote Interviews Using Facial, Vocal, Linguistic, and Cardiovascular Patterns
Zifan Jiang, Salman Seyedi, Emily Griner, et al.
IEEE Journal of Biomedical and Health Informatics (2024) Vol. 28, Iss. 3, pp. 1680-1691
Closed Access | Times Cited: 9
An improved generative adversarial network to oversample imbalanced datasets
Tingting Pan, Witold Pedrycz, Jie Yang, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 132, pp. 107934-107934
Closed Access | Times Cited: 6
Advancing early diagnosis of Alzheimer’s disease with next-generation deep learning methods
Cüneyt Özdemir, Yahya Doğan
Biomedical Signal Processing and Control (2024) Vol. 96, pp. 106614-106614
Closed Access | Times Cited: 6
Enhancing bone-conducted speech through a pre-trained transformer with low-rank driven sparsity bootstrapping
Dongjing Shan, Myunghee Yang, Jiashun Mao, et al.
Expert Systems with Applications (2025) Vol. 272, pp. 126761-126761
Closed Access
DRExplainer: Quantifiable interpretability in drug response prediction with directed graph convolutional network
Haoyuan Shi, Tao Xu, Xiaodi Li, et al.
Artificial Intelligence in Medicine (2025) Vol. 163, pp. 103101-103101
Open Access
Support group formation for users with depression in social networks
Xingwei Yang, Guang Li, Zeinab Noorian
Expert Systems with Applications (2025), pp. 127107-127107
Closed Access
An automatic college library book recommendation system using optimized Hidden Markov based weighted fuzzy ranking model
Monika Verma, Pawan Kumar Patnaik
Engineering Applications of Artificial Intelligence (2024) Vol. 130, pp. 107664-107664
Closed Access | Times Cited: 4
Random forest algorithm for predicting postoperative delirium in older patients
Weixuan Sheng, Xianshi Tang, Xiao Hu, et al.
Frontiers in Neurology (2024) Vol. 14
Open Access | Times Cited: 4
Sentiment Analysis on E-Commerce Product Reviews Using Machine Learning and Deep Learning Algorithms: A Bibliometric Analysis, Systematic Literature Review, Challenges and Future Works
Alfredo Daza Vergaray, Néstor Daniel González Rueda, Mirelly Sonia Aguilar Sánchez, et al.
International Journal of Information Management Data Insights (2024) Vol. 4, Iss. 2, pp. 100267-100267
Open Access | Times Cited: 4
A data-driven framework for designing microstructure of multifunctional composites with deep-learned diffusion-based generative models
Kang‐Hyun Lee, Hyoung Jun Lim, Gun Jin Yun
Engineering Applications of Artificial Intelligence (2023) Vol. 129, pp. 107590-107590
Open Access | Times Cited: 11
ICDP: An Improved Convolutional Neural Network Model to Detect Pneumonia from Chest X-Ray Images
Khan Md. Hasib, Md. Oli Ullah, Md. Imran Nazir, et al.
Lecture notes in networks and systems (2024), pp. 467-479
Closed Access | Times Cited: 3
Comprehensive review of depression detection techniques based on machine learning approach
Smitha Joyce Pinto, Mimmo Parente
Soft Computing (2024) Vol. 28, Iss. 17-18, pp. 10701-10725
Closed Access | Times Cited: 3
An ensemble approach to detect depression from social media platform: E-CLS
Shashank Shekher Tiwari, Rajnish Pandey, Akshay Deepak, et al.
Multimedia Tools and Applications (2024) Vol. 83, Iss. 28, pp. 71001-71033
Closed Access | Times Cited: 2
Threatening language detection from Urdu data with deep sequential model
Ashraf Ullah, Khair Ullah Khan, Aurangzeb Khan, et al.
PLoS ONE (2024) Vol. 19, Iss. 6, pp. e0290915-e0290915
Open Access | Times Cited: 2
Machine learning and natural language processing to assess the emotional impact of influencers’ mental health content on Instagram
Noemí Merayo, Alba Ayuso Lanchares, Clara González‐Sanguino
PeerJ Computer Science (2024) Vol. 10, pp. e2251-e2251
Open Access | Times Cited: 2
Integration of Federated Learning and Blockchain in Healthcare: A Tutorial
Yahya Shahsavari, Oussama Abderrahmane Dambri, Yaser Baseri, et al.
(2024)
Open Access | Times Cited: 1
Diagnosis of mental disorders using machine learning: Literature review and bibliometric mapping from 2012 to 2023
Chandra Mani Sharma, Vijayaraghavan M. Chariar
Heliyon (2024) Vol. 10, Iss. 12, pp. e32548-e32548
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
Prediction of upcoming urinary tract infection after intracerebral hemorrhage: a machine learning approach based on statistics collected at multiple time points
Yanjie Zhao, Chaoyue Chen, Zhouyang Huang, et al.
Frontiers in Neurology (2023) Vol. 14
Open Access | Times Cited: 4
Guest Editorial Special Issue on AIoMT-Enabled Federated Learning-Based Computing for Socially Implemented IoMT Systems: How Will Healthcare Systems Change?
Chinmay Chakraborty, Mohammad R. Khosravi, Gabriella Casalino, et al.
IEEE Transactions on Computational Social Systems (2023) Vol. 10, Iss. 4, pp. 1537-1539
Open Access | Times Cited: 3
Multimodal mental health assessment with remote interviews using facial, vocal, linguistic, and cardiovascular patterns
Zifan Jiang, Salman Seyedi, Emily Griner, et al.
medRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 3
An Innovative Machine Learning Pipeline for Stroke Prediction on Imbalanced Data
Md. Oli Ullah, Shakil Ahmed Raju, Md. Imran Nazir, et al.
(2023), pp. 153-157
Closed Access | Times Cited: 3
Sentiment analysis of a nomadic tax social enterprise
Indra Abeysekera
Journal of Open Innovation Technology Market and Complexity (2023) Vol. 10, Iss. 1, pp. 100179-100179
Open Access | Times Cited: 3
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