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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 probabilistic data analytics methodology based on Bayesian Belief network for predicting and understanding breast cancer survival
Asli Z. Dag, Zumrut Akcam, Eyyüb Y. Kıbış, et al.
Knowledge-Based Systems (2022) Vol. 242, pp. 108407-108407
Open Access | Times Cited: 17

Showing 17 citing articles:

BTS-ST: Swin transformer network for segmentation and classification of multimodality breast cancer images
Ahmed Iqbal, Muhammad Sharif
Knowledge-Based Systems (2023) Vol. 267, pp. 110393-110393
Closed Access | Times Cited: 63
PDF-UNet: A semi-supervised method for segmentation of breast tumor images using a U-shaped pyramid-dilated network
Ahmed Iqbal, Muhammad Sharif
Expert Systems with Applications (2023) Vol. 221, pp. 119718-119718
Closed Access | Times Cited: 42
Evaluating patient experience in maternity services using a Bayesian belief network model
Abrar Abdulhakim Ahmed Munassar, Mecit Can Emre Simsekler, A. Ben Saad, et al.
PLoS ONE (2025) Vol. 20, Iss. 2, pp. e0318612-e0318612
Open Access
Edge of discovery: Enhancing breast tumor MRI analysis with boundary-driven deep learning
Naveed Urr Rehman, Junfeng Wang, Weiyan Hou, et al.
Biomedical Signal Processing and Control (2024) Vol. 95, pp. 106291-106291
Open Access | Times Cited: 3
Enhancing Prediction Accuracy for High-dimensional Small-sample-size Microarray Data Cancer by Combining Chebyshev Interpolation with New Dual-net GAN
Liang-Sian Lin, Yao-San Lin, Der‐Chiang Li, et al.
Applied Soft Computing (2025), pp. 112826-112826
Closed Access
Disentangled and reassociated deep representation for dynamic survival analysis with competing risks
C.Y. Cui, Yongqiang Tang, Wensheng Zhang
Knowledge-Based Systems (2025), pp. 113295-113295
Closed Access
The exploitation of data to support decision-making in healthcare: a systematic literature review and future research directions
Luigi Jesus Basile, Nunzia Carbonara, Umberto Panniello, et al.
Management Review Quarterly (2025)
Open Access
Multimodal adversarial representation learning for breast cancer prognosis prediction
Xiuquan Du, Yuefan Zhao
Computers in Biology and Medicine (2023) Vol. 157, pp. 106765-106765
Closed Access | Times Cited: 9
A multimodal breast cancer diagnosis method based on Knowledge-Augmented Deep Learning
Dinghao Guo, Chunyu Lu, Dali Chen, et al.
Biomedical Signal Processing and Control (2023) Vol. 90, pp. 105843-105843
Closed Access | Times Cited: 7
Belief Structure-Based Pythagorean Fuzzy LINMAP for Multi-Attribute Group Decision-Making with Spatial Information
Jiali Wang, Wenqi Jiang, Xiwen Tao, et al.
International Journal of Fuzzy Systems (2023) Vol. 25, Iss. 4, pp. 1444-1464
Closed Access | Times Cited: 5
An interactive web-based tool for predicting and exploring brain cancer survivability
Gopal Nath, Austin Coursey, Yang Li, et al.
Healthcare Analytics (2022) Vol. 3, pp. 100132-100132
Open Access | Times Cited: 8
A machine learning decision support system for determining the primary factors impacting cancer survival and their temporal effect
Asli Z. Dag, Marina Johnson, Eyyüb Y. Kıbış, et al.
Healthcare Analytics (2023) Vol. 4, pp. 100263-100263
Open Access | Times Cited: 4
Development of Big Data Classifier for Biomedicine Early Diagnosis: An Experimental Approach Using Machine Learning Methods
Ma. Beth S. Concepcion, Bobby D. Gerardo, Frank I. Elijorde, et al.
Journal of Computer Science (2024) Vol. 20, Iss. 4, pp. 379-388
Open Access | Times Cited: 1
Algebraic Bayesian Networks: The Generation of the Network Canonical Representation
Nikita A. Kharitonov, Artyom A. Vyatkin, Alexander Lvovich Tulupyev
Lecture notes in networks and systems (2023), pp. 13-22
Closed Access | Times Cited: 2
A Two-Step Machine Learning Model for Stage-Specific Disease Survivability Prediction
Aya Farrag, Zubair Md. Fadlullah, Mostafa M. Fouda
(2022), pp. 216-222
Closed Access | Times Cited: 2
Determining the temporal factors of survival associated with brain and nervous system cancer patients: A hybrid machine learning methodology
Gopal Nath, Austin Coursey, Joseph Ekong, et al.
International Journal of Healthcare Management (2023) Vol. 17, Iss. 3, pp. 453-467
Open Access
Application of Genetic Algorithms for Personalized Cancer Treatment Planning
Kanchan Yadav, Manish Sharma, A. Deepak, et al.
2018 5th IEEE Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON) (2023), pp. 1826-1832
Closed Access
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