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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:

Radiomics in breast MRI: current progress toward clinical application in the era of artificial intelligence
Hiroko Satake, Satoko Ishigaki, Rintaro Ito, et al.
La radiologia medica (2021) Vol. 127, Iss. 1, pp. 39-56
Closed Access | Times Cited: 67

Showing 1-25 of 67 citing articles:

Artificial Intelligence in Lung Cancer Screening: The Future Is Now
Michaela Cellina, Laura Maria Cacioppa, Maurizio Cè, et al.
Cancers (2023) Vol. 15, Iss. 17, pp. 4344-4344
Open Access | Times Cited: 51
A Review of Advanced Multifunctional Magnetic Nanostructures for Cancer Diagnosis and Therapy Integrated into an Artificial Intelligence Approach
G. Bharath, Muhammad Ashraf Sabri, Abdul Hai, et al.
Pharmaceutics (2023) Vol. 15, Iss. 3, pp. 868-868
Open Access | Times Cited: 45
A narrative review on current imaging applications of artificial intelligence and radiomics in oncology: focus on the three most common cancers
Simone Vicini, Chandra Bortolotto, Marco Rengo, et al.
La radiologia medica (2022) Vol. 127, Iss. 8, pp. 819-836
Closed Access | Times Cited: 66
Prediction of Breast Cancer Histological Outcome by Radiomics and Artificial Intelligence Analysis in Contrast-Enhanced Mammography
Antonella Petrillo, Roberta Fusco, Elio Di Bernardo, et al.
Cancers (2022) Vol. 14, Iss. 9, pp. 2132-2132
Open Access | Times Cited: 46
Are deep models in radiomics performing better than generic models? A systematic review
Aydın Demircioğlu
European Radiology Experimental (2023) Vol. 7, Iss. 1
Open Access | Times Cited: 22
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: 9
Radiomics in breast cancer: Current advances and future directions
Ying-Jia Qi, Guan-Hua Su, Chao You, et al.
Cell Reports Medicine (2024) Vol. 5, Iss. 9, pp. 101719-101719
Open Access | Times Cited: 8
Recent Advances in Ultrasound Breast Imaging: From Industry to Clinical Practice
Orlando Catalano, Roberta Fusco, Federica De Muzio, et al.
Diagnostics (2023) Vol. 13, Iss. 5, pp. 980-980
Open Access | Times Cited: 20
Update on the Applications of Radiomics in Diagnosis, Staging, and Recurrence of Intrahepatic Cholangiocarcinoma
Maria Chiara Brunese, Maria Rita Fantozzi, Roberta Fusco, et al.
Diagnostics (2023) Vol. 13, Iss. 8, pp. 1488-1488
Open Access | Times Cited: 19
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
Multiparametric MRI-Based Interpretable Radiomics Machine Learning Model Differentiates Medulloblastoma and Ependymoma in Children: A Two-Center Study
Yasen Yimit, Parhat Yasin, Abudouresuli Tuersun, et al.
Academic Radiology (2024) Vol. 31, Iss. 8, pp. 3384-3396
Closed Access | Times Cited: 5
18F-FDG PET/CT radiomic analysis and artificial intelligence to predict pathological complete response after neoadjuvant chemotherapy in breast cancer patients
Luca Urso, Luigi Manco, Corrado Cittanti, et al.
La radiologia medica (2025)
Open Access
Risk Assessment and Pancreatic Cancer: Diagnostic Management and Artificial Intelligence
Vincenza Granata, Roberta Fusco, Sergio Venanzio Setola, et al.
Cancers (2023) Vol. 15, Iss. 2, pp. 351-351
Open Access | Times Cited: 13
Barriers and facilitators of artificial intelligence conception and implementation for breast imaging diagnosis in clinical practice: a scoping review
Belinda Lokaj, Marie‐Thérèse Pugliese, Karen Kinkel, et al.
European Radiology (2023) Vol. 34, Iss. 3, pp. 2096-2109
Open Access | Times Cited: 13
Predicting Axillary Lymph Node Metastasis in Young Onset Breast Cancer: A Clinical-Radiomics Nomogram Based on DCE-MRI
Xia Dong, Jingwen Meng, Jun Xing, et al.
Breast Cancer Targets and Therapy (2025) Vol. Volume 17, pp. 103-113
Open Access
Prediction of a radiomics-based nomogram for complete remission in atypical endometrial hyperplasia and early endometrial cancer patients seeking fertility preservation
Ruiqi Wang, Jingyuan Wang, Yuman Wu, et al.
Computers in Biology and Medicine (2025) Vol. 187, pp. 109764-109764
Open Access
Delta dual‑region DCE-MRI radiomics from breast masses predicts axillary lymph node response after neoadjuvant therapy for breast cancer
Qiao Zeng, Yiwen Deng, Jiang Nan, et al.
BMC Cancer (2025) Vol. 25, Iss. 1
Open Access
Predicting microvascular invasion in solitary hepatocellular carcinoma: a multi-center study integrating clinical, MRI assessments, and radiomics indicators
Jian Wang, Lin Zhan, Lin Zhaowang, et al.
Frontiers in Oncology (2025) Vol. 15
Open Access
Artificial intelligence in breast cancer imaging: risk stratification, lesion detection and classification, treatment planning and prognosis—a narrative review
Maurizio Cè, Elena Caloro, Maria Elena Pellegrino, et al.
Exploration of Targeted Anti-tumor Therapy (2022), pp. 795-816
Open Access | Times Cited: 21
Radiomics in Lung Metastases: A Systematic Review
Michela Gabelloni, Lorenzo Faggioni, Roberta Fusco, et al.
Journal of Personalized Medicine (2023) Vol. 13, Iss. 2, pp. 225-225
Open Access | Times Cited: 11
CT-Based Radiomics Predicts the Malignancy of Pulmonary Nodules: A Systematic Review and Meta-Analysis
Lili Shi, Meihong Sheng, Zhichao Wei, et al.
Academic Radiology (2023) Vol. 30, Iss. 12, pp. 3064-3075
Closed Access | Times Cited: 11
Radiomics nomogram for predicting axillary lymph node metastasis—a potential method to address the limitation of axilla coverage in cone-beam breast CT: a bi-center retrospective study
Yueqiang Zhu, Yue Ma, Yuwei Zhang, et al.
La radiologia medica (2023) Vol. 128, Iss. 12, pp. 1472-1482
Closed Access | Times Cited: 10
Exploring deep learning radiomics for classifying osteoporotic vertebral fractures in X-ray images
Jun Zhang, Liang Xia, Jiayi Liu, et al.
Frontiers in Endocrinology (2024) Vol. 15
Open Access | Times Cited: 3
Ability of Delta Radiomics to Predict a Complete Pathological Response in Patients with Loco-Regional Rectal Cancer Addressed to Neoadjuvant Chemo-Radiation and Surgery
Valerio Nardone, Alfonso Reginelli, Roberta Grassi, et al.
Cancers (2022) Vol. 14, Iss. 12, pp. 3004-3004
Open Access | Times Cited: 18
Radiomics in gastrointestinal stromal tumours: an up-to-date review
Antonio Galluzzo, Sofia Boccioli, Ginevra Danti, et al.
Japanese Journal of Radiology (2023) Vol. 41, Iss. 10, pp. 1051-1061
Closed Access | Times Cited: 9
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