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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:

Peripheral blood mononuclear cell derived biomarker detection using eXplainable Artificial Intelligence (XAI) provides better diagnosis of breast cancer
Sunil Kumar, Asmita Das
Computational Biology and Chemistry (2023) Vol. 104, pp. 107867-107867
Closed Access | Times Cited: 18

Showing 18 citing articles:

Explainable artificial intelligence in breast cancer detection and risk prediction: A systematic scoping review
Amirehsan Ghasemi, Soheil Hashtarkhani, David L. Schwartz, et al.
Cancer Innovation (2024) Vol. 3, Iss. 5
Open Access | Times Cited: 9
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
Current methods in explainable artificial intelligence and future prospects for integrative physiology
Bettina Finzel
Pflügers Archiv - European Journal of Physiology (2025)
Open Access | Times Cited: 1
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
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
An Explainable Analytical Approach to Heart Attack Detection Using Biomarkers and Nature-Inspired Algorithms
Maithri Bairy, Krishnaraj Chadaga, Niranjana Sampathila, et al.
(2025)
Closed Access
Neural Networks and Explainable Artificial Intelligence for Breast Cancer Prediction and Classification
Erika Yahata, Pablo Deoclecia dos Santos, Maria Marlene de Souza Pires, et al.
Procedia Computer Science (2025) Vol. 256, pp. 1159-1166
Open Access
Advanced explainable AI-driven biomarker identification for early breast cancer detection using peripheral blood mononuclear cells: Insights into prognostic biomarkers
Azam jafarabadi, Elahe Sadat Abdolkarimi
Biomedical Signal Processing and Control (2025) Vol. 108, pp. 107910-107910
Closed Access
From Code to Cure: The Impact of Artificial Intelligence in Biomedical Applications
M. Michael Gromiha, Palanisamy Preethi, Medha Pandey
BioMedInformatics (2024) Vol. 4, Iss. 1, pp. 542-548
Open Access | Times Cited: 2
Dissecting Crucial Gene Markers Involved in HPV-Associated Oropharyngeal Squamous Cell Carcinoma from RNA-Sequencing Data through Explainable Artificial Intelligence
Karthik Sekaran, Rinku Polachirakkal Varghese, Shibu Krishnan, et al.
Frontiers in Bioscience-Landmark (2024) Vol. 29, Iss. 6, pp. 220-220
Open Access | Times Cited: 2
Explainable Artificial Intelligence Methods for Breast Cancer Recognition
Robertas Damaševičius
Deleted Journal (2024) Vol. 1, Iss. 3, pp. 25-25
Open Access | Times Cited: 2
Interpretable and explainable predictive machine learning models for data-driven protein engineering
David Medina-Ortiz, Ashkan Khalifeh, Hoda Anvari-Kazemabad, et al.
Biotechnology Advances (2024) Vol. 79, pp. 108495-108495
Open Access | Times Cited: 2
Bladder cancer gene expression prediction with explainable algorithms
Kevser Kübra Kırboğa
Neural Computing and Applications (2023) Vol. 36, Iss. 4, pp. 1585-1597
Closed Access | Times Cited: 4
Isoform-Level Transcriptome Analysis of Peripheral Blood Mononuclear Cells from Breast Cancer Patients Identifies a Disease-Associated RASGEF1A Isoform
Helena Čelešnik, Mario Gorenjak, Martina Krušič, et al.
Cancers (2024) Vol. 16, Iss. 18, pp. 3171-3171
Open Access | Times Cited: 1
Exploring Explainable AI in Healthcare
Adla Padma, Vasavi Chithanuru, Posham Uppamma, et al.
Advances in healthcare information systems and administration book series (2024), pp. 199-233
Closed Access
Correlation between TEX14 and ADAM17 expressions in colorectal cancer tissues of elderly patients and neoplasm staging, invasion, and metastasis
Gun Chen, Ling-Hua Cong, Chijiang Gu, et al.
World Journal of Clinical Cases (2024) Vol. 12, Iss. 24, pp. 5492-5501
Closed Access
Application of XAI to the prediction of CTCF binding sites
Thomas Vanhaeren, Angela Robledo Troncoso-García, J. F. Torres, et al.
Results in Engineering (2024), pp. 103776-103776
Open Access
Role of Transcription Factor BEND3 and Its Potential Effect on Cancer Progression
Sarah Naiyer, Lalita Dwivedi, Nishant Singh, et al.
Cancers (2023) Vol. 15, Iss. 14, pp. 3685-3685
Open Access | Times Cited: 1
Identifying the mitochondrial metabolism network by integration of machine learning and explainable artificial intelligence in skeletal muscle in type 2 diabetes
Kritika Sharma, Neeru Saini, Yasha Hasija
Mitochondrion (2023) Vol. 74, pp. 101821-101821
Open Access | Times Cited: 1
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