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:

Towards the Interpretability of Machine Learning Predictions for Medical Applications Targeting Personalised Therapies: A Cancer Case Survey
Antonio Jesús Banegas‐Luna, Jorge Peña‐García, Adrian Iftene, et al.
International Journal of Molecular Sciences (2021) Vol. 22, Iss. 9, pp. 4394-4394
Open Access | Times Cited: 53

Showing 1-25 of 53 citing articles:

Explainable medical imaging AI needs human-centered design: guidelines and evidence from a systematic review
Haomin Chen, Catalina Gómez, Chien‐Ming Huang, et al.
npj Digital Medicine (2022) Vol. 5, Iss. 1
Open Access | Times Cited: 122

Application advances of deep learning methods for de novo drug design and molecular dynamics simulation
Qifeng Bai, Shuo Liu, Yanan Tian, et al.
Wiley Interdisciplinary Reviews Computational Molecular Science (2021) Vol. 12, Iss. 3
Closed Access | Times Cited: 109

Towards revolutionizing precision healthcare: A systematic literature review of artificial intelligence methods in precision medicine
Wafae Abbaoui, Sara Retal, Brahim El Bhiri, et al.
Informatics in Medicine Unlocked (2024) Vol. 46, pp. 101475-101475
Open Access | Times Cited: 25

AI and professional liability assessment in healthcare. A revolution in legal medicine?
Claudio Terranova, Clara Cestonaro, Ludovico Fava, et al.
Frontiers in Medicine (2024) Vol. 10
Open Access | Times Cited: 19

Management of Medico-Legal Risks in Digital Health Era: A Scoping Review
Antonio Oliva, Simone Grassi, Giuseppe Vetrugno, et al.
Frontiers in Medicine (2022) Vol. 8
Open Access | Times Cited: 53

A Linear Discriminant Analysis and Classification Model for Breast Cancer Diagnosis
Marion O. Adebiyi, Micheal Olaolu Arowolo, Moses Damilola Mshelia, et al.
Applied Sciences (2022) Vol. 12, Iss. 22, pp. 11455-11455
Open Access | Times Cited: 49

Prediction of recurrent spontaneous abortion using evolutionary machine learning with joint self-adaptive sime mould algorithm
Beibei Shi, Jingjing Chen, Haiying Chen, et al.
Computers in Biology and Medicine (2022) Vol. 148, pp. 105885-105885
Closed Access | Times Cited: 45

Transformer for Gene Expression Modeling (T-GEM): An Interpretable Deep Learning Model for Gene Expression-Based Phenotype Predictions
Tinghe Zhang, Md Musaddaqul Hasib, Yu‐Chiao Chiu, et al.
Cancers (2022) Vol. 14, Iss. 19, pp. 4763-4763
Open Access | Times Cited: 26

Artificial intelligence based personalized predictive survival among colorectal cancer patients
David Susič, Shabbir Syed-Abdul, Erik Dovgan, et al.
Computer Methods and Programs in Biomedicine (2023) Vol. 231, pp. 107435-107435
Open Access | Times Cited: 14

The clinical application of artificial intelligence in cancer precision treatment
Jinyu Wang, Ziyi Zeng, Zehua Li, et al.
Journal of Translational Medicine (2025) Vol. 23, Iss. 1
Open Access

Mapping the Advanced-Stage Epithelial Ovarian Cancer Landscape Goes Beyond Words: Two Large Language Models, Eight Tasks, One Journey
Michela Quaranta, Alexandros Laios, Connie J. Rogers, et al.
Journal of Clinical Medicine (2025) Vol. 14, Iss. 7, pp. 2223-2223
Open Access

Vitamin D Deficiency in Women with Breast Cancer: A Correlation with Osteoporosis? A Machine Learning Approach with Multiple Factor Analysis
Alessandro de Sire, Luca Gallelli, Nicola Marotta, et al.
Nutrients (2022) Vol. 14, Iss. 8, pp. 1586-1586
Open Access | Times Cited: 19

A Scoping Review on the Progress, Applicability, and Future of Explainable Artificial Intelligence in Medicine
Raquel González-Alday, Esteban García-Cuesta, Casimir A. Kulikowski, et al.
Applied Sciences (2023) Vol. 13, Iss. 19, pp. 10778-10778
Open Access | Times Cited: 12

iDDCS: Cervical intraepithelial neoplasia severity detection during vagina birth using artificial intelligence approach
Akanksha Kapruwan, Sachin Sharma, Himanshu Rai Goyal
Multidisciplinary Science Journal (2025) Vol. 7, Iss. 8, pp. 2025192-2025192
Closed Access

A critical assessment of artificial intelligence in magnetic resonance imaging of cancer
Chengyue Wu, Meryem Abbad Andaloussi, David A. Hormuth, et al.
npj Imaging (2025) Vol. 3, Iss. 1
Open Access

Personalised radiation therapy taking both the tumour and patient into consideration
Jens Overgaard, M.C. Aznar, Carol Bacchus, et al.
Radiotherapy and Oncology (2022) Vol. 166, pp. A1-A5
Open Access | Times Cited: 16

Machine learning approach for the detection of vitamin D level: a comparative study
Nuriye Sancar, Sahar S. Tabrizi
BMC Medical Informatics and Decision Making (2023) Vol. 23, Iss. 1
Open Access | Times Cited: 10

Evaluating Explainable Machine Learning Models for Clinicians
Noemi Scarpato, Aria Nourbakhsh, Patrizia Ferroni, et al.
Cognitive Computation (2024) Vol. 16, Iss. 4, pp. 1436-1446
Open Access | Times Cited: 3

Semi-supervised ViT knowledge distillation network with style transfer normalization for colorectal liver metastases survival prediction
Mohamed El Amine Elforaici, Emmanuel Montagnon, Francisco Romero, et al.
Medical Image Analysis (2024) Vol. 99, pp. 103346-103346
Open Access | Times Cited: 3

Personalizing Deep Brain Stimulation Therapy for Parkinson’s Disease With Whole-Brain MRI Radiomics and Machine Learning
Nikolaos Haliasos, Dimitrios Giakoumettis, Prathishta Gnanaratnasingham, et al.
Cureus (2024)
Open Access | Times Cited: 2

Multi‐omics graph convolutional networks for digestive system tumour classification and early‐late stage diagnosis
Lin Zhou, Zhengzhi Zhu, Hongbo Gao, et al.
CAAI Transactions on Intelligence Technology (2024)
Open Access | Times Cited: 2

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