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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:

Performance comparison of modified ComBat for harmonization of radiomic features for multicenter studies
Ronrick Da‐ano, Ingrid Masson, François Lucia, et al.
Scientific Reports (2020) Vol. 10, Iss. 1
Open Access | Times Cited: 156

Showing 1-25 of 156 citing articles:

A review in radiomics: Making personalized medicine a reality via routine imaging
Julien Guiot, Akshayaa Vaidyanathan, Louis Deprez, et al.
Medicinal Research Reviews (2021) Vol. 42, Iss. 1, pp. 426-440
Open Access | Times Cited: 199
A Guide to ComBat Harmonization of Imaging Biomarkers in Multicenter Studies
Fanny Orlhac, Jakoba J. Eertink, Anne‐Ségolène Cottereau, et al.
Journal of Nuclear Medicine (2021) Vol. 63, Iss. 2, pp. 172-179
Open Access | Times Cited: 184
Artificial intelligence: Deep learning in oncological radiomics and challenges of interpretability and data harmonization
Panagiotis Papadimitroulas, Lennart Brocki, Neo Christopher Chung, et al.
Physica Medica (2021) Vol. 83, pp. 108-121
Open Access | Times Cited: 152
Making Radiomics More Reproducible across Scanner and Imaging Protocol Variations: A Review of Harmonization Methods
Shruti Atul Mali, Abdalla Ibrahim, Henry C. Woodruff, et al.
Journal of Personalized Medicine (2021) Vol. 11, Iss. 9, pp. 842-842
Open Access | Times Cited: 126
Deep Learning With Radiomics for Disease Diagnosis and Treatment: Challenges and Potential
Xingping Zhang, Yanchun Zhang, Guijuan Zhang, et al.
Frontiers in Oncology (2022) Vol. 12
Open Access | Times Cited: 109
Data harmonisation for information fusion in digital healthcare: A state-of-the-art systematic review, meta-analysis and future research directions
Nan Yang, Javier Del Ser, Simon Walsh, et al.
Information Fusion (2022) Vol. 82, pp. 99-122
Open Access | Times Cited: 101
Overview of the HECKTOR Challenge at MICCAI 2021: Automatic Head and Neck Tumor Segmentation and Outcome Prediction in PET/CT Images
Vincent Andrearczyk, Valentin Oreiller, Sarah Boughdad, et al.
Lecture notes in computer science (2022), pp. 1-37
Closed Access | Times Cited: 81
Joint EANM/SNMMI guideline on radiomics in nuclear medicine
Mathieu Hatt, Aron K. Krizsan, Arman Rahmim, et al.
European Journal of Nuclear Medicine and Molecular Imaging (2022) Vol. 50, Iss. 2, pp. 352-375
Open Access | Times Cited: 79
Impact of feature harmonization on radiogenomics analysis: Prediction of EGFR and KRAS mutations from non-small cell lung cancer PET/CT images
Isaac Shiri, Mehdi Amini, Mostafa Nazari, et al.
Computers in Biology and Medicine (2022) Vol. 142, pp. 105230-105230
Open Access | Times Cited: 71
Image harmonization: A review of statistical and deep learning methods for removing batch effects and evaluation metrics for effective harmonization
Fengling Hu, Andrew A. Chen, Hannah Horng, et al.
NeuroImage (2023) Vol. 274, pp. 120125-120125
Open Access | Times Cited: 63
Harmonization strategies for multicenter radiomics investigations
Ronrick Da‐ano, Dimitris Visvikis, Mathieu Hatt
Physics in Medicine and Biology (2020) Vol. 65, Iss. 24, pp. 24TR02-24TR02
Closed Access | Times Cited: 134
Impact of Preprocessing and Harmonization Methods on the Removal of Scanner Effects in Brain MRI Radiomic Features
Yingping Li, Samy Ammari, Corinne Balleyguier, et al.
Cancers (2021) Vol. 13, Iss. 12, pp. 3000-3000
Open Access | Times Cited: 68
Treatment response prediction using MRI‐based pre‐, post‐, and delta‐radiomic features and machine learning algorithms in colorectal cancer
Sajad P. Shayesteh, Mostafa Nazari, Ali Salahshour, et al.
Medical Physics (2021) Vol. 48, Iss. 7, pp. 3691-3701
Open Access | Times Cited: 62
Prediction of lung malignancy progression and survival with machine learning based on pre-treatment FDG-PET/CT
Brian Huang, John Sollee, Yongheng Luo, et al.
EBioMedicine (2022) Vol. 82, pp. 104127-104127
Open Access | Times Cited: 58
Site effects how-to and when: An overview of retrospective techniques to accommodate site effects in multi-site neuroimaging analyses
Johanna Bayer, Paul M. Thompson, Christopher R. K. Ching, et al.
Frontiers in Neurology (2022) Vol. 13
Open Access | Times Cited: 57
Radiomics in Early Lung Cancer Diagnosis: From Diagnosis to Clinical Decision Support and Education
Yun-Ju Wu, Fu‐Zong Wu, Shu Ching Yang, et al.
Diagnostics (2022) Vol. 12, Iss. 5, pp. 1064-1064
Open Access | Times Cited: 41
Harmonization Strategies in Multicenter MRI-Based Radiomics
Elisavet Stamoulou, Constantinos Spanakis, Georgios C. Manikis, et al.
Journal of Imaging (2022) Vol. 8, Iss. 11, pp. 303-303
Open Access | Times Cited: 39
Noninvasive prediction of perineural invasion in intrahepatic cholangiocarcinoma by clinicoradiological features and computed tomography radiomics based on interpretable machine learning: a multicenter cohort study
Ziwei Liu, Chun Luo, Xinjie Chen, et al.
International Journal of Surgery (2023)
Open Access | Times Cited: 25
Impact of harmonization on the reproducibility of MRI radiomic features when using different scanners, acquisition parameters, and image pre-processing techniques: a phantom study
Ghasem Hajianfar, Seyyed Ali Hosseini, Sara Bagherieh, et al.
Medical & Biological Engineering & Computing (2024) Vol. 62, Iss. 8, pp. 2319-2332
Open Access | Times Cited: 10
Can CT Image Reconstruction Parameters Impact the Predictive Value of Radiomics Features in Grading Pancreatic Neuroendocrine Neoplasms?
Florent Tixier, Felipe Lopez-Ramirez, Alejandra Blanco, et al.
Bioengineering (2025) Vol. 12, Iss. 1, pp. 80-80
Open Access | Times Cited: 1
Recent Radiomics Advancements in Breast Cancer: Lessons and Pitfalls for the Next Future
Filippo Pesapane, Anna Rotili, Giorgio Maria Agazzi, et al.
Current Oncology (2021) Vol. 28, Iss. 4, pp. 2351-2372
Open Access | Times Cited: 55
[18F]FDG PET radiomics to predict disease-free survival in cervical cancer: a multi-scanner/center study with external validation
Marta S. Ferreira, Pierre Lovinfosse, Johanne Hermesse, et al.
European Journal of Nuclear Medicine and Molecular Imaging (2021) Vol. 48, Iss. 11, pp. 3432-3443
Open Access | Times Cited: 50
The Effects of In-Plane Spatial Resolution on CT-Based Radiomic Features’ Stability with and without ComBat Harmonization
Abdalla Ibrahim, Turkey Refaee, Sergey Primakov, et al.
Cancers (2021) Vol. 13, Iss. 8, pp. 1848-1848
Open Access | Times Cited: 46
Pancreatic cancer, radiomics and artificial intelligence
Luis Martí‐Bonmatí, Leonor Cerdá-Alberich, Alexandre Pérez‐Girbés, et al.
British Journal of Radiology (2022) Vol. 95, Iss. 1137
Open Access | Times Cited: 28
Cross–scanner harmonization methods for structural MRI may need further work: A comparison study
Robel K Gebre, Matthew L. Senjem, Sheelakumari Raghavan, et al.
NeuroImage (2023) Vol. 269, pp. 119912-119912
Open Access | Times Cited: 21
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