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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:

Handling of uncertainty in medical data using machine learning and probability theory techniques: a review of 30 years (1991–2020)
Roohallah Alizadehsani, Mohamad Roshanzamir, Sadiq Hussain, et al.
Annals of Operations Research (2021) Vol. 339, Iss. 3, pp. 1077-1118
Open Access | Times Cited: 103

Showing 26-50 of 103 citing articles:

A systematic survey of fuzzy deep learning for uncertain medical data
Yuanhang Zheng, Zeshui Xu, Tong Wu, et al.
Artificial Intelligence Review (2024) Vol. 57, Iss. 9
Open Access | Times Cited: 4
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
Role of artificial intelligence in data-centric additive manufacturing processes for biomedical applications
Saman Mohammadnabi, Nima Moslemy, Hadi Taghvaei, et al.
Journal of the mechanical behavior of biomedical materials/Journal of mechanical behavior of biomedical materials (2025) Vol. 166, pp. 106949-106949
Closed Access
Advancing Sports Cardiology: Integrating Artificial Intelligence with Wearable Devices for Cardiovascular Health Management
Xiao Zheng, Zheng Liu, Jianyu Liu, et al.
ACS Applied Materials & Interfaces (2025)
Closed Access
A hybrid deep learning model for breast cancer diagnosis based on transfer learning and pulse-coupled neural networks
Meteb Altaf
Mathematical Biosciences & Engineering (2021) Vol. 18, Iss. 5, pp. 5029-5046
Open Access | Times Cited: 27
Ensemble deep learning system for early breast cancer detection
Asmaa A. Hekal, Hossam El-Din Moustafa, Ahmed Elnakib
Evolutionary Intelligence (2022) Vol. 16, Iss. 3, pp. 1045-1054
Closed Access | Times Cited: 20
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
An ensemble classifier through rough set reducts for handling data with evidential attributes
Asma Trabelsi, Zied Elouedi, Éric Lefèvre
Information Sciences (2023) Vol. 635, pp. 414-429
Open Access | Times Cited: 10
Uncertainty in humanities network visualization
Melanie Conroy, Christina Gillmann, Francis Harvey, et al.
Frontiers in Communication (2024) Vol. 8
Open Access | Times Cited: 3
The Applications of Artificial Intelligence in Chest Imaging of COVID-19 Patients: A Literature Review
Maria Elena Laino, Angela Ammirabile, Alessandro Posa, et al.
Diagnostics (2021) Vol. 11, Iss. 8, pp. 1317-1317
Open Access | Times Cited: 24
Aleatory-aware deep uncertainty quantification for transfer learning
H M Dipu Kabir, Sadia Khanam, Fahime Khozeimeh, et al.
Computers in Biology and Medicine (2022) Vol. 143, pp. 105246-105246
Closed Access | Times Cited: 16
Combination of Feature Selection and Resampling Methods to Predict Preterm Birth Based on Electrohysterographic Signals from Imbalance Data
Félix Nieto-del-Amor, Gema Prats-Boluda, Javier Garcia-Casado, et al.
Sensors (2022) Vol. 22, Iss. 14, pp. 5098-5098
Open Access | Times Cited: 16
Artificial Intelligence-Assisted Chest X-ray for the Diagnosis of COVID-19: A Systematic Review and Meta-Analysis
I‐Shiang Tzeng, Po‐Chun Hsieh, Wen‐Lin Su, et al.
Diagnostics (2023) Vol. 13, Iss. 4, pp. 584-584
Open Access | Times Cited: 9
Autonomous Convoying: A Survey on Current Research and Development
Saeid Nahavandi, Shady Mohamed, Ibrahim Hossain, et al.
IEEE Access (2022) Vol. 10, pp. 13663-13683
Open Access | Times Cited: 14
Transfer learning-based ensemble convolutional neural network for accelerated diagnosis of foot fractures
Taekyeong Kim, Tae Sik Goh, Jung Sub Lee, et al.
Physical and Engineering Sciences in Medicine (2023) Vol. 46, Iss. 1, pp. 265-277
Closed Access | Times Cited: 8
Improving Uncertainty Estimations for Mammogram Classification using Semi-Supervised Learning
L. Calefice, Diego Murillo-Hernandez, Kevin Rojas-Salazar, et al.
2022 International Joint Conference on Neural Networks (IJCNN) (2021), pp. 1-8
Open Access | Times Cited: 18
Transparent machine learning models for predicting decisions to undertake energy retrofits in residential buildings
Serge Nyawa, Christian Gnekpe, Dieudonné Tchuente
Annals of Operations Research (2023)
Closed Access | Times Cited: 7
Weld defect detection with convolutional neural network: an application of deep learning
Manu S. Madhav, Suhas Suresh Ambekar, Manoj Hudnurkar
Annals of Operations Research (2023)
Closed Access | Times Cited: 7
Application of artificial intelligence in diagnosing COVID-19 disease symptoms on chest X-rays: A systematic review
Jakub Kufel, Katarzyna Bargieł, Maciej Koźlik, et al.
International Journal of Medical Sciences (2022) Vol. 19, Iss. 12, pp. 1743-1752
Open Access | Times Cited: 11
Quantifying Uncertainty in Automated Detection of Alzheimer’s Patients Using Deep Neural Network
Mohamad Roshanzamir, Afshar Shamsi, Hamzeh Asgharnezhad, et al.
(2023)
Open Access | Times Cited: 6
Uncertainty aware training to improve deep learning model calibration for classification of cardiac MR images
Tareen Dawood, Chen Chen, Baldeep S. Sidhu, et al.
Medical Image Analysis (2023) Vol. 88, pp. 102861-102861
Open Access | Times Cited: 6
A systematic review of the soft computing methods shaping the future of the metaverse
Madjid Tavana, Shahryar Sorooshian
Applied Soft Computing (2023) Vol. 150, pp. 111098-111098
Open Access | Times Cited: 6
How to deal with Uncertainty in Machine Learning for Medical Imaging?
Christina Gillmann, Dorothee Saur, Gerik Scheuermann
(2021), pp. 52-58
Closed Access | Times Cited: 15
SpinalXNet: Transfer Learning with Modified Fully Connected Layer for X-Ray Image Classification
Keshav Kumar, Sadia Khanam, Md Mahbub Islam Bhuiyan, et al.
(2021)
Closed Access | Times Cited: 13
Accurate Prediction Using Triangular Type-2 Fuzzy Linear Regression: Simplifying Complex T2F Calculations
Assef Zare, Afshin Shoeibi, Narges Shafaei Bajestani, et al.
IEEE Systems Man and Cybernetics Magazine (2022) Vol. 8, Iss. 3, pp. 51-60
Closed Access | Times Cited: 9

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