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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:

Prostate cancer classification from ultrasound and MRI images using deep learning based Explainable Artificial Intelligence
Md. Rafiul Hassan, Md. Fakrul Islam, Md. Zia Uddin, et al.
Future Generation Computer Systems (2021) Vol. 127, pp. 462-472
Closed Access | Times Cited: 97

Showing 1-25 of 97 citing articles:

Survey of explainable artificial intelligence techniques for biomedical imaging with deep neural networks
Sajid Nazir, Diane M. Dickson, Muhammad Usman Akram
Computers in Biology and Medicine (2023) Vol. 156, pp. 106668-106668
Open Access | Times Cited: 117
A review of Explainable Artificial Intelligence in healthcare
Zahra Sadeghi, Roohallah Alizadehsani, Mehmet Akif Çifçi, et al.
Computers & Electrical Engineering (2024) Vol. 118, pp. 109370-109370
Open Access | Times Cited: 40
Explainable AI-driven IoMT fusion: Unravelling techniques, opportunities, and challenges with Explainable AI in healthcare
Niyaz Ahmad Wani, Ravinder Kumar, ­ Mamta, et al.
Information Fusion (2024) Vol. 110, pp. 102472-102472
Closed Access | Times Cited: 26
The Promise of Explainable AI in Digital Health for Precision Medicine: A Systematic Review
Ben Allen
Journal of Personalized Medicine (2024) Vol. 14, Iss. 3, pp. 277-277
Open Access | Times Cited: 18
Improving the local diagnostic explanations of diabetes mellitus with the ensemble of label noise filters
Che Xu, Peng Zhu, Jiacun Wang, et al.
Information Fusion (2025), pp. 102928-102928
Closed Access | Times Cited: 2
Explainable diabetes classification using hybrid Bayesian-optimized TabNet architecture
Lionel Joseph, Erica A. Joseph, Ramendra Prasad
Computers in Biology and Medicine (2022) Vol. 151, pp. 106178-106178
Closed Access | Times Cited: 51
PoxNet22: A Fine-Tuned Model for the Classification of Monkeypox Disease Using Transfer Learning
Farhana Yasmin, Md. Mehedi Hassan, Mahade Hasan, et al.
IEEE Access (2023) Vol. 11, pp. 24053-24076
Open Access | Times Cited: 39
A review of artificial intelligence in prostate cancer detection on imaging
Indrani Bhattacharya, Yash S. Khandwala, Sulaiman Vesal, et al.
Therapeutic Advances in Urology (2022) Vol. 14
Open Access | Times Cited: 37
Cancer detection and segmentation using machine learning and deep learning techniques: a review
Hari Mohan
Multimedia Tools and Applications (2023) Vol. 83, Iss. 9, pp. 27001-27035
Closed Access | Times Cited: 32
A review and comparative study of cancer detection using machine learning: SBERT and SimCSE application
Mpho Mokoatle, Vukosi Marivate, Darlington Mapiye, et al.
BMC Bioinformatics (2023) Vol. 24, Iss. 1
Open Access | Times Cited: 28
Advancements in MRI-Based Radiomics and Artificial Intelligence for Prostate Cancer: A Comprehensive Review and Future Prospects
Ahmad Chaddad, Guina Tan, Xiaojuan Liang, et al.
Cancers (2023) Vol. 15, Iss. 15, pp. 3839-3839
Open Access | Times Cited: 28
Artificial Intelligence‐Based Medical Sensors for Healthcare System
Mingrui Chen, Daxiang Cui, Hossam Haick, et al.
Advanced Sensor Research (2023) Vol. 3, Iss. 3
Open Access | Times Cited: 26
Recent Advances in Explainable Artificial Intelligence for Magnetic Resonance Imaging
Jinzhao Qian, Hailong Li, Junqi Wang, et al.
Diagnostics (2023) Vol. 13, Iss. 9, pp. 1571-1571
Open Access | Times Cited: 23
FedCSCD-GAN: A secure and collaborative framework for clinical cancer diagnosis via optimized federated learning and GAN
Amir Rehman, Huanlai Xing, Feng Li, et al.
Biomedical Signal Processing and Control (2024) Vol. 89, pp. 105893-105893
Closed Access | Times Cited: 11
Towards Transparent Healthcare: Advancing Local Explanation Methods in Explainable Artificial Intelligence
Carlo Metta, Andrea Beretta, Roberto Pellungrini, et al.
Bioengineering (2024) Vol. 11, Iss. 4, pp. 369-369
Open Access | Times Cited: 8
Alzheimer's Disease Analysis using Explainable Artificial Intelligence (XAI)
K. Muthamil Sudar, P. Nagaraj, S Nithisaa, et al.
2022 International Conference on Sustainable Computing and Data Communication Systems (ICSCDS) (2022), pp. 419-423
Closed Access | Times Cited: 36
Adaptive Aquila Optimizer with Explainable Artificial Intelligence-Enabled Cancer Diagnosis on Medical Imaging
Salem Alkhalaf, Fahad Alturise, Adel A. Bahaddad, et al.
Cancers (2023) Vol. 15, Iss. 5, pp. 1492-1492
Open Access | Times Cited: 21
A scoping review of interpretability and explainability concerning artificial intelligence methods in medical imaging
Mélanie Champendal, Henning Müller, John O. Prior, et al.
European Journal of Radiology (2023) Vol. 169, pp. 111159-111159
Open Access | Times Cited: 17
KFPredict: An ensemble learning prediction framework for diabetes based on fusion of key features
Huamei Qi, Xiaomeng Song, Shengzong Liu, et al.
Computer Methods and Programs in Biomedicine (2023) Vol. 231, pp. 107378-107378
Closed Access | Times Cited: 16
Comparative analysis of machine learning and deep learning models for improved cancer detection: A comprehensive review of recent advancements in diagnostic techniques
Hari Mohan, Joon Yoo, Abdul Razaque
Expert Systems with Applications (2024) Vol. 255, pp. 124838-124838
Closed Access | Times Cited: 5
A comprehensive review on recent approaches for cancer drug discovery associated with artificial intelligence
Sanjeevi Pandiyan, Li Wang
Computers in Biology and Medicine (2022) Vol. 150, pp. 106140-106140
Closed Access | Times Cited: 25
Transfer learning for accurate fetal organ classification from ultrasound images: a potential tool for maternal healthcare providers
Haifa Ghabri, Mohammed S. Alqahtani, Ben Othman Soufiene, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 14
Transformative Advances in AI for Precise Cancer Detection: A Comprehensive Review of Non-Invasive Techniques
Hari Mohan, Joon Yoo, Serhii Dashkevych
Archives of Computational Methods in Engineering (2025)
Closed Access
Evaluating machine learning and statistical learning techniques for cancer classification and diagnosis
Asmaa Salim Hussaien Alwazy, Gonca Buyrukoğlu, Selim Buyrukoğlu, et al.
Iran Journal of Computer Science (2025)
Closed Access
Developing Interpretable Models to Enhance Transparency and Accountability in Image-Based Algorithms Using SVM and AI
Rampriya Kilari, I. B. Ranitha, Indur Ranaveer, et al.
Lecture notes in networks and systems (2025), pp. 441-454
Closed Access
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