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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:

A Review on Bayesian Deep Learning in Healthcare: Applications and Challenges
Abdullah A. Abdullah, Masoud Muhammed Hassan, Yaseen T. Mustafa
IEEE Access (2022) Vol. 10, pp. 36538-36562
Open Access | Times Cited: 66

Showing 1-25 of 66 citing articles:

A survey of uncertainty in deep neural networks
Jakob Gawlikowski, Cedrique Rovile Njieutcheu Tassi, Mohsin Ali, et al.
Artificial Intelligence Review (2023) Vol. 56, Iss. S1, pp. 1513-1589
Open Access | Times Cited: 460
Virtual Screening Algorithms in Drug Discovery: A Review Focused on Machine and Deep Learning Methods
Tiago Alves de Oliveira, Michel Pires da Silva, Eduardo Habib Bechelane Maia, et al.
Drugs and Drug Candidates (2023) Vol. 2, Iss. 2, pp. 311-334
Open Access | Times Cited: 59
A systematic review of data fusion techniques for optimized structural health monitoring
Sahar Hassani, Ulrike Dackermann, Mohsen Mousavi, et al.
Information Fusion (2023) Vol. 103, pp. 102136-102136
Open Access | Times Cited: 47
Machine learning and deep learning-based approach in smart healthcare: Recent advances, applications, challenges and opportunities
Anichur Rahman, Tanoy Debnath, Dipanjali Kundu, et al.
AIMS Public Health (2024) Vol. 11, Iss. 1, pp. 58-109
Open Access | Times Cited: 33
Uncertainty-aware diabetic retinopathy detection using deep learning enhanced by Bayesian approaches
Muhammad Usman Akram, Muhammad Adnan, Syed Farooq Ali, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access | Times Cited: 1
A Review on Deep Sequential Models for Forecasting Time Series Data
Dozdar Mahdi Ahmed, Masoud Muhammed Hassan, Ramadhan J. Mstafa
Applied Computational Intelligence and Soft Computing (2022) Vol. 2022, pp. 1-19
Open Access | Times Cited: 49
Identification of kidney stones in KUB X-ray images using VGG16 empowered with explainable artificial intelligence
Fahad Ahmed, Sagheer Abbas, Atifa Athar, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 10
A Smart Gas Sensor Using Machine Learning Algorithms: Sensor Types Based on IED Configurations, Fabrication Techniques, Algorithmic Approaches, Challenges, Progress, and Limitations: A Review
Abdelghaffar Nasri, Aicha Boujnah, Aïmen Boubaker, et al.
IEEE Sensors Journal (2023) Vol. 23, Iss. 11, pp. 11336-11355
Closed Access | Times Cited: 18
Amazigh CNN speech recognition system based on Mel spectrogram feature extraction method
Hossam Boulal, Mohamed Hamidi, Mustapha Abarkan, et al.
International Journal of Speech Technology (2024) Vol. 27, Iss. 1, pp. 287-296
Closed Access | Times Cited: 7
Deep CNN based brain tumor detection in intelligent systems
Brij B. Gupta, Akshat Gaurav, Varsha Arya
International Journal of Intelligent Networks (2024) Vol. 5, pp. 30-37
Open Access | Times Cited: 5
Bayesian Deep Learning Applied to Diabetic Retinopathy with Uncertainty Quantification
Masoud Muhammed Hassan, Halbast Rashid Ismail
Heliyon (2025) Vol. 11, Iss. 2, pp. e41802-e41802
Open Access
BAKER: Bayesian Kernel Uncertainty in Domain-Specific Document Modelling
Ubaid Azam, Imran Razzak, Shelly Vishwakarma, et al.
(2025), pp. 382-391
Closed Access
Managing Distributed Machine Learning Lifecycle for Healthcare Data in the Cloud
Engin Zeydan, Şuayb Ş. Arslan, Madhusanka Liyanage
IEEE Access (2024) Vol. 12, pp. 115750-115774
Open Access | Times Cited: 4
Intelligent skin disease prediction system using transfer learning and explainable artificial intelligence
Sagheer Abbas, Fahad Ahmed, Wasim Ahmad Khan, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Navigating Uncertainty: A User-Perspective Survey of Trustworthiness of AI in Healthcare
Jaya Ojha, Oriana Presacan, Pedro G. Lind, et al.
ACM Transactions on Computing for Healthcare (2025)
Closed Access
A Comparative Study of Network-Based Machine Learning Approaches for Binary Classification in Metabolomics
Hunter Dlugas, Seongho Kim
Metabolites (2025) Vol. 15, Iss. 3, pp. 174-174
Open Access
Using Constrained-Disorder Principle-Based Systems to Improve the Performance of Digital Twins in Biological Systems
Tal Sigawi, Yaron Ilan
Biomimetics (2023) Vol. 8, Iss. 4, pp. 359-359
Open Access | Times Cited: 11
Probabilistic Modeling of Inter- and Intra-observer Variability in Medical Image Segmentation
Arne Schmidt, Pablo Morales-Álvarez, Rafael Molina
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2023), pp. 21040-21049
Open Access | Times Cited: 10
Leveraging Bayesian deep learning and ensemble methods for uncertainty quantification in image classification: A ranking-based approach
Abdullah A. Abdullah, Masoud Muhammed Hassan, Yaseen T. Mustafa
Heliyon (2024) Vol. 10, Iss. 2, pp. e24188-e24188
Open Access | Times Cited: 2
Intelligent Bayesian regularization backpropagation neuro computing paradigm for state features estimation of underwater passive object
Wasiq Ali, Muhammad Bilal, Ayman Alharbi, et al.
Frontiers in Physics (2024) Vol. 12
Open Access | Times Cited: 2
Machine learning model to predict rate constants for sonochemical degradation of organic pollutants
Iseul Na, Tae Ho Kim, Pengpeng Qiu, et al.
Ultrasonics Sonochemistry (2024) Vol. 110, pp. 107032-107032
Closed Access | Times Cited: 2
A Bayesian cluster validity index
Onthada Preedasawakul, Nathakhun Wiroonsri
Computational Statistics & Data Analysis (2024) Vol. 202, pp. 108053-108053
Open Access | Times Cited: 2
Amazigh Spoken Digit Recognition using a Deep Learning Approach based on MFCC
Hossam Boulal, Mohamed Hamidi, Mustapha Abarkan, et al.
International journal of electrical and computer engineering systems (2023) Vol. 14, Iss. 7, pp. 791-798
Open Access | Times Cited: 5
Uncertainty Quantification for MLP-Mixer Using Bayesian Deep Learning
Abdullah A. Abdullah, Masoud Muhammed Hassan, Yaseen T. Mustafa
Applied Sciences (2023) Vol. 13, Iss. 7, pp. 4547-4547
Open Access | Times Cited: 4
An Uncertainty Estimation Model for Health Signal Prediction
Li Rong Wang, Thomas C. Henderson, Yew-Soon Ong, et al.
(2024)
Closed Access | Times Cited: 1
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