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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:

XAI-CNVMarker: Explainable AI-based copy number variant biomarker discovery for breast cancer subtypes
Sheetal Rajpal, Ankit Rajpal, Manoj Agarwal, et al.
Biomedical Signal Processing and Control (2023) Vol. 84, pp. 104979-104979
Closed Access | Times Cited: 16

Showing 16 citing articles:

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
Cancer Metastasis Prediction and Genomic Biomarker Identification through Machine Learning and eXplainable Artificial Intelligence in Breast Cancer Research
Burak Yagin, Fatma Hilal Yağın, Cemil Çolak, et al.
Diagnostics (2023) Vol. 13, Iss. 21, pp. 3314-3314
Open Access | Times Cited: 22
Two heads are better than one: Unravelling the potential Impact of Artificial Intelligence in nanotechnology
Gaurav Gopal Naik, Vijay A. Jagtap
Nano TransMed (2024) Vol. 3, pp. 100041-100041
Open Access | Times Cited: 8
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
Explicate molecular landscape of combined pulmonary fibrosis and emphysema through explainable artificial intelligence: a comprehensive analysis of ILD and COPD interactions using RNA from whole lung homogenates
Nakul Tanwar, Yasha Hasija
Medical & Biological Engineering & Computing (2024) Vol. 62, Iss. 8, pp. 2557-2570
Closed Access | Times Cited: 4
Demystifying the Black Box: A Survey on Explainable Artificial Intelligence (XAI) in Bioinformatics
Aishwarya Budhkar, Qianqian Song, Jing Su, et al.
Computational and Structural Biotechnology Journal (2025) Vol. 27, pp. 346-359
Open Access
Towards explainable artificial intelligence with potential games
Evangelos D. Spyrou, Vassilios Kappatos, Afroditi Anagnostopoulou, et al.
Mathematical Models in Engineering (2025)
Open Access
Brain tumor detection with bi-directional cascade Gaussian kernel feature-generative adversarial networks
S Anjana, P. M. Siva Raja, K. Rejini, et al.
Biomedical Signal Processing and Control (2025) Vol. 107, pp. 107838-107838
Closed Access
Application of artificial intelligence in cancer diagnosis and tumor nanomedicine
Junhao Wang, Guan Liu, Cheng Zhou, et al.
Nanoscale (2024) Vol. 16, Iss. 30, pp. 14213-14246
Closed Access | Times Cited: 3
SurvIAE: Survival prediction with Interpretable Autoencoders from Diffuse Large B-Cells Lymphoma gene expression data
Gian Maria Zaccaria, Nicola Altini, Giuseppe Mezzolla, et al.
Computer Methods and Programs in Biomedicine (2023) Vol. 244, pp. 107966-107966
Open Access | Times Cited: 7
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
Disagreement serves an explainable ensemble model based on Dempster–Shafer evidence-fusion for an improved skin lesion classification
Rym Dakhli, Walid Barhoumi
Biomedical Signal Processing and Control (2024) Vol. 98, pp. 106761-106761
Closed 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
Identification of genome-wide copy number variation-driven subtypes for the treatment and prognostic prediction of esophageal carcinoma
Chao Zhao, Hui Han, Yushuang Tian, et al.
Heliyon (2024) Vol. 10, Iss. 19, pp. e38011-e38011
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
EpiBrCan-Lite: A Lightweight Deep Learning model for Breast Cancer Subtype Classification using Epigenomic Data
Punam Bedi, Surbhi Rani, Bhavna Gupta, et al.
Computer Methods and Programs in Biomedicine (2024) Vol. 260, pp. 108553-108553
Closed Access
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