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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:

Preliminary Report on Computed Tomography Radiomics Features as Biomarkers to Immunotherapy Selection in Lung Adenocarcinoma Patients
Vincenza Granata, Roberta Fusco, Matilde Costa, et al.
Cancers (2021) Vol. 13, Iss. 16, pp. 3992-3992
Open Access | Times Cited: 53

Showing 1-25 of 53 citing articles:

Radiomics textural features by MR imaging to assess clinical outcomes following liver resection in colorectal liver metastases
Vincenza Granata, Roberta Fusco, Federica De Muzio, et al.
La radiologia medica (2022) Vol. 127, Iss. 5, pp. 461-470
Closed Access | Times Cited: 60
Radiomics in medical imaging: pitfalls and challenges in clinical management
Roberta Fusco, Vincenza Granata, Giulia Grazzini, et al.
Japanese Journal of Radiology (2022) Vol. 40, Iss. 9, pp. 919-929
Closed Access | Times Cited: 55
Artificial intelligence and radiomics: fundamentals, applications, and challenges in immunotherapy
Laurent Dercle, Jeremy McGale, Shawn Sun, et al.
Journal for ImmunoTherapy of Cancer (2022) Vol. 10, Iss. 9, pp. e005292-e005292
Open Access | Times Cited: 54
Radiomics and machine learning analysis based on magnetic resonance imaging in the assessment of liver mucinous colorectal metastases
Vincenza Granata, Roberta Fusco, Federica De Muzio, et al.
La radiologia medica (2022) Vol. 127, Iss. 7, pp. 763-772
Closed Access | Times Cited: 49
CT-Based Radiomics Analysis to Predict Histopathological Outcomes Following Liver Resection in Colorectal Liver Metastases
Vincenza Granata, Roberta Fusco, Sergio Venanzio Setola, et al.
Cancers (2022) Vol. 14, Iss. 7, pp. 1648-1648
Open Access | Times Cited: 39
Feature selection methods and predictive models in CT lung cancer radiomics
Gary Ge, Jie Zhang
Journal of Applied Clinical Medical Physics (2022) Vol. 24, Iss. 1
Open Access | Times Cited: 39
Contrast MR-Based Radiomics and Machine Learning Analysis to Assess Clinical Outcomes following Liver Resection in Colorectal Liver Metastases: A Preliminary Study
Vincenza Granata, Roberta Fusco, Federica De Muzio, et al.
Cancers (2022) Vol. 14, Iss. 5, pp. 1110-1110
Open Access | Times Cited: 37
Intrahepatic cholangiocarcinoma and its differential diagnosis at MRI: how radiologist should assess MR features
Vincenza Granata, Roberta Grassi, Roberta Fusco, et al.
La radiologia medica (2021) Vol. 126, Iss. 12, pp. 1584-1600
Closed Access | Times Cited: 51
EOB-MR Based Radiomics Analysis to Assess Clinical Outcomes following Liver Resection in Colorectal Liver Metastases
Vincenza Granata, Roberta Fusco, Federica De Muzio, et al.
Cancers (2022) Vol. 14, Iss. 5, pp. 1239-1239
Open Access | Times Cited: 33
Radiomics and Machine Learning Analysis Based on Magnetic Resonance Imaging in the Assessment of Colorectal Liver Metastases Growth Pattern
Vincenza Granata, Roberta Fusco, Federica De Muzio, et al.
Diagnostics (2022) Vol. 12, Iss. 5, pp. 1115-1115
Open Access | Times Cited: 29
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
Imaging approaches and radiomics: toward a new era of ultraprecision radioimmunotherapy?
Roger Sun, Théophraste Henry, Adrien Laville, et al.
Journal for ImmunoTherapy of Cancer (2022) Vol. 10, Iss. 7, pp. e004848-e004848
Open Access | Times Cited: 24
Radiomics and artificial intelligence analysis by T2-weighted imaging and dynamic contrast-enhanced magnetic resonance imaging to predict Breast Cancer Histological Outcome
Antonella Petrillo, Roberta Fusco, Maria Luisa Barretta, et al.
La radiologia medica (2023) Vol. 128, Iss. 11, pp. 1347-1371
Closed Access | Times Cited: 14
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
Identification of CT-based non-invasive radiomic biomarkers for overall survival prediction in oral cavity squamous cell carcinoma
Ling Xiao, Gregory S. Alexander, Jason K. Molitoris, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 13
Radiomics and machine learning analysis by computed tomography and magnetic resonance imaging in colorectal liver metastases prognostic assessment
Vincenza Granata, Roberta Fusco, Federica De Muzio, et al.
La radiologia medica (2023) Vol. 128, Iss. 11, pp. 1310-1332
Closed Access | Times Cited: 12
Imaging to predict checkpoint inhibitor outcomes in cancer. A systematic review
Laurens S. ter Maat, Isabella A.J. van Duin, Sjoerd G. Elias, et al.
European Journal of Cancer (2022) Vol. 175, pp. 60-76
Open Access | Times Cited: 19
Behçet’s Disease: A Radiological Review of Vascular and Parenchymal Pulmonary Involvement
Caterina Giannessi, Olga Smorchkova, Diletta Cozzi, et al.
Diagnostics (2022) Vol. 12, Iss. 11, pp. 2868-2868
Open Access | Times Cited: 19
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
Diffusion weighted imaging and diffusion kurtosis imaging in abdominal oncological setting: why and when
Vincenza Granata, Roberta Fusco, Andrea Belli, et al.
Infectious Agents and Cancer (2022) Vol. 17, Iss. 1
Open Access | Times Cited: 17
Magnetic Resonance Features of Liver Mucinous Colorectal Metastases: What the Radiologist Should Know
Vincenza Granata, Roberta Fusco, Federica De Muzio, et al.
Journal of Clinical Medicine (2022) Vol. 11, Iss. 8, pp. 2221-2221
Open Access | Times Cited: 15
An update on radiomics techniques in primary liver cancers
Vincenza Granata, Roberta Fusco, Sergio Venazio Setola, et al.
Infectious Agents and Cancer (2022) Vol. 17, Iss. 1
Open Access | Times Cited: 14
Machine Learning and Radiomics Analysis for Tumor Budding Prediction in Colorectal Liver Metastases Magnetic Resonance Imaging Assessment
Vincenza Granata, Roberta Fusco, Maria Chiara Brunese, et al.
Diagnostics (2024) Vol. 14, Iss. 2, pp. 152-152
Open Access | Times Cited: 2
Cancer Immunotherapy and Medical Imaging Research Trends from 2003 to 2023: A Bibliometric Analysis
Shuli Tang, Tiantian Fan, Xinxin Wang, et al.
Journal of Multidisciplinary Healthcare (2024) Vol. Volume 17, pp. 2105-2120
Open Access | Times Cited: 2
A Novel Machine Learning Model for Efficacy Prediction of Immunotherapy-Chemotherapy in NSCLC Based on CT Radiomics
Chengye Li, Zhifeng Zhou, Lingxian Hou, et al.
Computers in Biology and Medicine (2024) Vol. 178, pp. 108638-108638
Closed Access | Times Cited: 2
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