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:
An Explainable Artificial Intelligence Model for the Classification of Breast Cancer
Tarek Khater, Abir Hussain, Riyad Bendardaf, et al.
IEEE Access (2023), pp. 1-1
Open Access | Times Cited: 14
Tarek Khater, Abir Hussain, Riyad Bendardaf, et al.
IEEE Access (2023), pp. 1-1
Open Access | Times Cited: 14
Showing 14 citing articles:
Guaranteeing Correctness in Black-Box Machine Learning: A Fusion of Explainable AI and Formal Methods for Healthcare Decision-Making
Nadia Khan, Muhammad Nauman, Ahmad Almadhor, et al.
IEEE Access (2024) Vol. 12, pp. 90299-90316
Open Access | Times Cited: 11
Nadia Khan, Muhammad Nauman, Ahmad Almadhor, et al.
IEEE Access (2024) Vol. 12, pp. 90299-90316
Open Access | Times Cited: 11
Decoding the black box: Explainable AI (XAI) for cancer diagnosis, prognosis, and treatment planning-A state-of-the art systematic review
Youssef Alaaeldin Ali Mohamed, Bee Luan Khoo, Mohd Shahrimie Mohd Asaari, et al.
International Journal of Medical Informatics (2024) Vol. 193, pp. 105689-105689
Closed Access | Times Cited: 9
Youssef Alaaeldin Ali Mohamed, Bee Luan Khoo, Mohd Shahrimie Mohd Asaari, et al.
International Journal of Medical Informatics (2024) Vol. 193, pp. 105689-105689
Closed Access | Times Cited: 9
XAI-RACapsNet: Relevance aware capsule network-based breast cancer detection using mammography images via explainability O-net ROI segmentation
Ahmad Alhussen, Mohd Anul Haq, Arfat Ahmad Khan, et al.
Expert Systems with Applications (2024), pp. 125461-125461
Closed Access | Times Cited: 6
Ahmad Alhussen, Mohd Anul Haq, Arfat Ahmad Khan, et al.
Expert Systems with Applications (2024), pp. 125461-125461
Closed Access | Times Cited: 6
Interpretability of Machine Learning Models for Breast Cancer Identification: A Review
Ijaz Ahmad, Alessia Amelio, D. H. Gernsback, et al.
Smart innovation, systems and technologies (2025), pp. 191-202
Closed Access
Ijaz Ahmad, Alessia Amelio, D. H. Gernsback, et al.
Smart innovation, systems and technologies (2025), pp. 191-202
Closed Access
Explainable Machine Learning Model for Alzheimer Detection Using Genetic Data: A Genome-Wide Association Study Approach
Tarek Khater, Sam Ansari, Abbas Saad Alatrany, et al.
IEEE Access (2024) Vol. 12, pp. 95091-95105
Open Access | Times Cited: 3
Tarek Khater, Sam Ansari, Abbas Saad Alatrany, et al.
IEEE Access (2024) Vol. 12, pp. 95091-95105
Open Access | Times Cited: 3
A Federated Explainable AI Model for Breast Cancer Classification
Helen Briola, Christos Chrysanthos Nikolaidis, Vasileios Perifanis, et al.
(2024), pp. 194-201
Open Access | Times Cited: 2
Helen Briola, Christos Chrysanthos Nikolaidis, Vasileios Perifanis, et al.
(2024), pp. 194-201
Open Access | Times Cited: 2
Integrating Explainable AI: Breakthroughs in Medical Diagnosis and Surgery
Ana Henriques, Henrique Parola, Raquel Gonçalves, et al.
Lecture notes in networks and systems (2024), pp. 254-272
Closed Access | Times Cited: 1
Ana Henriques, Henrique Parola, Raquel Gonçalves, et al.
Lecture notes in networks and systems (2024), pp. 254-272
Closed Access | Times Cited: 1
Enhancing Efficacy in Breast Cancer Screening with Nesterov Momentum Optimization Techniques
Priyanka Ramdass, Gajendran Ganesan, Salah Boulaaras, et al.
Mathematics (2024) Vol. 12, Iss. 21, pp. 3354-3354
Open Access | Times Cited: 1
Priyanka Ramdass, Gajendran Ganesan, Salah Boulaaras, et al.
Mathematics (2024) Vol. 12, Iss. 21, pp. 3354-3354
Open Access | Times Cited: 1
Explainable AI for Breast Cancer Detection: A LIME-Driven Approach
Tarek Khater, Abir Hussain, Soliman A. Mahmoud, et al.
2021 14th International Conference on Developments in eSystems Engineering (DeSE) (2023), pp. 540-545
Closed Access | Times Cited: 2
Tarek Khater, Abir Hussain, Soliman A. Mahmoud, et al.
2021 14th International Conference on Developments in eSystems Engineering (DeSE) (2023), pp. 540-545
Closed Access | Times Cited: 2
Comparative Analysis of Data Preprocessing Methods in Machine Learning for Breast Cancer Classification
T. Stockton, Brandon Peddle, Angelica Gaulin, et al.
Lecture notes on data engineering and communications technologies (2024), pp. 268-279
Closed Access
T. Stockton, Brandon Peddle, Angelica Gaulin, et al.
Lecture notes on data engineering and communications technologies (2024), pp. 268-279
Closed Access
A Deep Learning Approach for Prediction of Heart Disease using Ensemble Learning Techniques
Mudasir Hayat, Nadeem Javaid, Amna Nazir, et al.
Research Square (Research Square) (2024)
Open Access
Mudasir Hayat, Nadeem Javaid, Amna Nazir, et al.
Research Square (Research Square) (2024)
Open Access
Understanding the Landscape: A Review of Explainable AI in Healthcare Decision-Making
Zulfikar Ali Ansari, Manish Madhava Tripathi, Rafeeq Ahmed
Research Square (Research Square) (2024)
Closed Access
Zulfikar Ali Ansari, Manish Madhava Tripathi, Rafeeq Ahmed
Research Square (Research Square) (2024)
Closed Access
Deception Detection Deep Learning Comprehensive system Utilizing Explainable AI
Suhaib Salah, Tarek Khater, Eqab Almajali, et al.
2021 14th International Conference on Developments in eSystems Engineering (DeSE) (2023), pp. 713-720
Closed Access | Times Cited: 1
Suhaib Salah, Tarek Khater, Eqab Almajali, et al.
2021 14th International Conference on Developments in eSystems Engineering (DeSE) (2023), pp. 713-720
Closed Access | Times Cited: 1
Revolutionizing Oncology: A Critical Review of Artificial Intelligence and Stem Cells in Cancer Treatment
Nachaat Mohamed, Mennahallah Nachaat
(2023), pp. 1-6
Closed Access
Nachaat Mohamed, Mennahallah Nachaat
(2023), pp. 1-6
Closed Access
