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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:

Design of an artificial neural network to predict mortality among COVID-19 patients
Mostafa Shanbehzadeh, Raoof Nopour, Hadi Kazemi-Arpanahi
Informatics in Medicine Unlocked (2022) Vol. 31, pp. 100983-100983
Open Access | Times Cited: 19

Showing 19 citing articles:

Prognostic models in COVID-19 infection that predict severity: a systematic review
Chepkoech Buttia, Erand Llanaj, Hamidreza Raeisi‐Dehkordi, et al.
European Journal of Epidemiology (2023) Vol. 38, Iss. 4, pp. 355-372
Open Access | Times Cited: 34
The predictive model for COVID-19 pandemic plastic pollution by using deep learning method
Yaser A. Nanehkaran, Li-Cai Zhu, Mohammad Azarafza, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 29
A decision-aid system for subway microenvironment health risk intervention based on backpropagation neural network and permutation feature importance method
Qiwen Chen, Peng Mao, Shi‐Yao Zhu, et al.
Building and Environment (2024) Vol. 253, pp. 111292-111292
Closed Access | Times Cited: 8
Utilizing machine learning to predict hospital admissions for pediatric COVID-19 patients (PrepCOVID-Machine)
C. Liew, Song‐Quan Ong, David Ng
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access | Times Cited: 1
Generalizable machine learning approach for COVID-19 mortality risk prediction using on-admission clinical and laboratory features
Siavash Shirzadeh Barough, Seyed Amir Ahmad Safavi‐Naini, Fatemeh Siavoshi, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 15
Development of a heart attack prediction method using random forest and bat algorithm
Muhammad Nurfalah Rohmawan, Syaiful Anam, Ummu Habibah
AIP conference proceedings (2025) Vol. 3302, pp. 070002-070002
Closed Access
Comparison of Deep Learning and Gradient Boosting: ANN Versus XGBoost for Climate‐Based Dengue Prediction in Bangladesh
Arman Hossain Chowdhury
Health Science Reports (2025) Vol. 8, Iss. 4
Open Access
Multimodal deep learning for COVID-19 prognosis prediction in the emergency department: a bi-centric study
Franca Dipaola, Mauro Gatti, Alessandro Giaj Levra, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 10
Research on the application and effect of flipped-classroom combined with TBL teaching model in WeChat-platform-based biochemical teaching under the trend of COVID-19
Haiyan Ji, Kangle Zhu, Zhiyu Shen, et al.
BMC Medical Education (2023) Vol. 23, Iss. 1
Open Access | Times Cited: 9
Prediction the prognosis of the poisoned patients undergoing hemodialysis using machine learning algorithms
Mitra Rahimi, Mohammad Reza Afrash, Shahin Shadnia, et al.
BMC Medical Informatics and Decision Making (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 3
Optimal Prognostic Accuracy: Machine Learning Approaches for COVID-19 Prognosis with Biomarkers and Demographic Information
Sajid Hussain, Songhua Xu, Muhammad Usman Aslam, et al.
New Generation Computing (2024)
Closed Access | Times Cited: 3
Clinical decision support system for quality of life among the elderly: an approach using artificial neural network
Maryam Ahmadi, Raoof Nopour
BMC Medical Informatics and Decision Making (2022) Vol. 22, Iss. 1
Open Access | Times Cited: 15
Authentication of Covid-19 Vaccines Using Synchronous Fluorescence Spectroscopy
Sulaf Assi, Ismail Abbas, Basel Arafat, et al.
Journal of Fluorescence (2023) Vol. 33, Iss. 3, pp. 1165-1174
Open Access | Times Cited: 8
COVID-19 vaccine rejection causes based on Twitter people’s opinions analysis using deep learning
Wafa Jeza Alotaibi, Faye Alomary, Raouia Mokni
Social Network Analysis and Mining (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 8
Machine and deep learning methods for clinical outcome prediction based on physiological data of COVID-19 patients: a scoping review
Dmitriy Viderman, Alexander Kotov, Maxim N. Popov, et al.
International Journal of Medical Informatics (2023) Vol. 182, pp. 105308-105308
Closed Access | Times Cited: 7
Machine learning approach to evaluate TdP risk of drugs using cardiac electrophysiological model including inter-individual variability
Yunendah Nur Fuadah, Ali Ikhsanul Qauli, Aroli Marcellinus, et al.
Frontiers in Physiology (2023) Vol. 14
Open Access | Times Cited: 6
Explainability of Artificial Neural Network in Predicting Career Fulfilment Among Medical Doctors in Developing Nations: Applicability and Implications
Dara Thomas, Ying Li, Chiagoziem C. Ukwuoma, et al.
Social Science & Medicine (2024) Vol. 360, pp. 117329-117329
Closed Access | Times Cited: 1
Survival Analysis of Patients with COVID-19 using Deep Neural Network and Random Forrest Techniques
Azita Yazdani, Leila Erfannia, Ali Farzaneh, et al.
Frontiers in Health Informatics (2024) Vol. 13, pp. 186-186
Open Access
Predictive analysis of tensile strength ratios in laminated bamboo composites: Unraveling the stochastic impact of ply angle variations through machine learning model
Deepak Kumar, Apurba Mandal
Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science (2024)
Closed Access
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