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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:

MRI-based radiomics analysis for differentiating phyllodes tumors of the breast from fibroadenomas
M. Tsuchiya, Takayuki Masui, Terauchi Kazuma, et al.
European Radiology (2022) Vol. 32, Iss. 6, pp. 4090-4100
Closed Access | Times Cited: 24

Showing 24 citing articles:

The application of radiomics in cancer imaging with a focus on lung cancer, renal cell carcinoma, gastrointestinal cancer, and head and neck cancer: A systematic review
Roberta Fusco, Vincenza Granata, Sergio Venanzio Setola, et al.
Physica Medica (2025) Vol. 130, pp. 104891-104891
Closed Access | Times Cited: 2
An Informative Review of Radiomics Studies on Cancer Imaging: The Main Findings, Challenges and Limitations of the Methodologies
Roberta Fusco, Vincenza Granata, Igino Simonetti, et al.
Current Oncology (2024) Vol. 31, Iss. 1, pp. 403-424
Open Access | Times Cited: 10
Machine Learning Approaches with Textural Features to Calculate Breast Density on Mammography
Mario Sansone, Roberta Fusco, Francesca Grassi, et al.
Current Oncology (2023) Vol. 30, Iss. 1, pp. 839-853
Open Access | Times Cited: 16
Application of machine learning-based multi-sequence MRI radiomics in diagnosing anterior cruciate ligament tears
Qi Cheng, Haoran Lin, Jie Zhao, et al.
Journal of Orthopaedic Surgery and Research (2024) Vol. 19, Iss. 1
Open Access | Times Cited: 4
Application of MRI-based tumor heterogeneity analysis for identification and pathologic staging of breast phyllodes tumors
Liang Yue, Qingyu Li, Jiahao Li, et al.
Magnetic Resonance Imaging (2025) Vol. 117, pp. 110325-110325
Open Access
The value of MRI radiomics in distinguishing different types of spinal infections
Chao Qin, Liping Dai, Y Philip Zhang, et al.
Computer Methods and Programs in Biomedicine (2025) Vol. 264, pp. 108719-108719
Closed Access
Deep Learning Models to Detect Anterior Cruciate Ligament Injury on MRI: A Comprehensive Review
Michele Mercurio, Federica Denami, Dimitra Melissaridou, et al.
Diagnostics (2025) Vol. 15, Iss. 6, pp. 776-776
Open Access
TMAN: A Triple Morphological Feature Attention Network for Fine-Grained Classification of Breast Ultrasound Images
Dongyue Wang, Min Xue, Hui Wang
Deleted Journal (2025)
Closed Access
Artificial intelligence in breast imaging: potentials and challenges
Jia-wei Li, Danli Sheng, Jiangang Chen, et al.
Physics in Medicine and Biology (2023) Vol. 68, Iss. 23, pp. 23TR01-23TR01
Open Access | Times Cited: 9
Application of machine learning in the preoperative radiomic diagnosis of ameloblastoma and odontogenic keratocyst based on cone-beam CT
Yang Song, Si‐Rui Ma, Bing Mao, et al.
Dentomaxillofacial Radiology (2024) Vol. 53, Iss. 5, pp. 316-324
Open Access | Times Cited: 3
Introducing radiomics model to predict active plaque in multiple sclerosis patients using magnetic resonance images
Benyamin Khajetash, Amin Talebi, Zahra Bagherpour, et al.
Biomedical Physics & Engineering Express (2023) Vol. 9, Iss. 5, pp. 055004-055004
Closed Access | Times Cited: 7
Machine learning and new insights for breast cancer diagnosis
Guo Ya, Heng Zhang, Leilei Yuan, et al.
Journal of International Medical Research (2024) Vol. 52, Iss. 4
Open Access | Times Cited: 2
Differentiation Between Phyllodes Tumors and Fibroadenomas of Breast Using Mammography-based Machine Learning Methods: A Preliminary Study
Xue‐Ying Deng, Pei‐Wei Cao, Shuai‐Ming Nan, et al.
Clinical Breast Cancer (2023) Vol. 23, Iss. 7, pp. 729-736
Closed Access | Times Cited: 5
Gender Medicine in Clinical Radiology Practice
Giuliana Giacobbe, Vincenza Granata, Piero Trovato, et al.
Journal of Personalized Medicine (2023) Vol. 13, Iss. 2, pp. 223-223
Open Access | Times Cited: 4
Clinical outcomes and biomarkers of phyllodes tumors of the breast: A single‐center retrospective study
Keyu Chen, Jiaojiao Xu, Wei Wang, et al.
Cancer Medicine (2023) Vol. 12, Iss. 10, pp. 11363-11374
Open Access | Times Cited: 4
Mammography-based radiomics analysis and imaging features for predicting the malignant risk of phyllodes tumours of the breast
Huang‐Joe Wang, Pei‐Wei Cao, Shuai‐Ming Nan, et al.
Clinical Radiology (2023) Vol. 78, Iss. 5, pp. e386-e392
Closed Access | Times Cited: 3
Differentiation between Phyllodes Tumors and Fibroadenomas through Breast Ultrasound: Deep-Learning Model Outperforms Ultrasound Physicians
Zhaoting Shi, Yebo Ma, Xiaowen Ma, et al.
Sensors (2023) Vol. 23, Iss. 11, pp. 5099-5099
Open Access | Times Cited: 3
Dual-Level Augmentation Radiomics Analysis for Multisequence MRI Meningioma Grading
Zongyou Cai, Lun M. Wong, Ye Heng Wong, et al.
Cancers (2023) Vol. 15, Iss. 22, pp. 5459-5459
Open Access | Times Cited: 2
Stability of Radiomic Models and Strategies to Enhance Reproducibility
Ahmad Chaddad, Xiaojuan Liang
IEEE Transactions on Radiation and Plasma Medical Sciences (2024) Vol. 8, Iss. 5, pp. 540-555
Closed Access
Stacking learning based on micro-CT radiomics for outcome prediction in the early-stage of silica-induced pulmonary fibrosis model
Hongwei Wang, Qiyue Jia, Yan Wang, et al.
Heliyon (2024) Vol. 10, Iss. 9, pp. e30651-e30651
Open Access
Deep learning–assisted distinguishing breast phyllodes tumors from fibroadenomas based on ultrasound images: a diagnostic study
Yuqi Yan, Yuanzhen Liu, Jincao Yao, et al.
British Journal of Radiology (2024) Vol. 97, Iss. 1163, pp. 1816-1825
Closed Access
Differentiation Between Phyllodes Tumor and Fibroadenoma of the Breast: A Radiomics Prediction Model Based on Full-Field Digital Mammography & Digital Tomosynthesis
Fengxia Zeng, Hui Zeng, Jun Yang, et al.
Technology in Cancer Research & Treatment (2024) Vol. 23
Open Access
Editorial for “Pretreatment Multiparametric MRI‐Based Radiomics Analysis for the Diagnosis of Breast Phyllodes Tumors”
N. Quyen
Journal of Magnetic Resonance Imaging (2022) Vol. 57, Iss. 2, pp. 646-647
Open Access | Times Cited: 1
Imaging of fibroadenoma: Be careful with imaging follow-up
Bünyamin Ece, Sonay Aydın
World Journal of Clinical Cases (2022) Vol. 10, Iss. 25, pp. 9176-9179
Open Access | Times Cited: 1
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