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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:

From Medical Imaging to Radiomics: Role of Data Science for Advancing Precision Health
Enrico Capobianco, Marco Dominietto
Journal of Personalized Medicine (2020) Vol. 10, Iss. 1, pp. 15-15
Open Access | Times Cited: 20

Showing 20 citing articles:

Biodegradable Implantable Sensors: Materials Design, Fabrication, and Applications
Nureddin Ashammakhi, Ana López Hernández, Bige Deniz Unluturk, et al.
Advanced Functional Materials (2021) Vol. 31, Iss. 49
Closed Access | Times Cited: 91
Incorporating radiomics into clinical trials: expert consensus endorsed by the European Society of Radiology on considerations for data-driven compared to biologically driven quantitative biomarkers
Laure Fournier, Lena Costaridou, Luc Bidaut, et al.
European Radiology (2021) Vol. 31, Iss. 8, pp. 6001-6012
Open Access | Times Cited: 87
Automated Classification of Significant Prostate Cancer on MRI: A Systematic Review on the Performance of Machine Learning Applications
Jose M. Castillo T., Muhammad Arif, Wiro J. Niessen, et al.
Cancers (2020) Vol. 12, Iss. 6, pp. 1606-1606
Open Access | Times Cited: 74
Correction to: Incorporating radiomics into clinical trials: expert consensus endorsed by the European Society of Radiology on considerations for data-driven compared to biologically driven quantitative biomarkers
Laure Fournier, Lena Costaridou, Luc Bidaut, et al.
European Radiology (2021) Vol. 31, Iss. 8, pp. 6408-6409
Open Access | Times Cited: 59
Pre-Treatment T2-WI Based Radiomics Features for Prediction of Locally Advanced Rectal Cancer Non-Response to Neoadjuvant Chemoradiotherapy: A Preliminary Study
Bianca Petresc, Andrei Lebovici, Cosmin Caraiani, et al.
Cancers (2020) Vol. 12, Iss. 7, pp. 1894-1894
Open Access | Times Cited: 45
A Machine Learning-Based Predictive Model for Predicting Lymph Node Metastasis in Patients With Ewing’s Sarcoma
Wenle Li, Zhou Qian, Wencai Liu, et al.
Frontiers in Medicine (2022) Vol. 9
Open Access | Times Cited: 23
The Lifestyle Medicine Eco-System: Deriving an Infrastructure to Defragment Healthcare
Jeffrey I. Mechanick
Lifestyle Medicine (2025), pp. 731-759
Closed Access
The diagnosis of tuberculous meningitis: advancements in new technologies and machine learning algorithms
Yi Shi, Chengxi Zhang, Shuo Pan, et al.
Frontiers in Microbiology (2023) Vol. 14
Open Access | Times Cited: 10
CT-based radiomics for predicting Ki-67 expression in lung cancer: a systematic review and meta-analysis
Xinmin Luo, Renying Zheng, Jiao Zhang, et al.
Frontiers in Oncology (2024) Vol. 14
Open Access | Times Cited: 3
Preoperative Predicting the WHO/ISUP Nuclear Grade of Clear Cell Renal Cell Carcinoma by Computed Tomography-Based Radiomics Features
Claudia-Gabriela Moldovanu, Bianca Boca, Andrei Lebovici, et al.
Journal of Personalized Medicine (2020) Vol. 11, Iss. 1, pp. 8-8
Open Access | Times Cited: 23
The Constantly Evolving Role of Medical Image Processing in Oncology: From Traditional Medical Image Processing to Imaging Biomarkers and Radiomics
Kostas Marias
Journal of Imaging (2021) Vol. 7, Iss. 8, pp. 124-124
Open Access | Times Cited: 19
Prediction of TACE Treatment Response in a Preoperative MRI via Analysis of Integrating Deep Learning and Radiomics Features
Yuchi Tian, Temitope Emmanuel Komolafe, Tao Chen, et al.
Journal of Medical and Biological Engineering (2022) Vol. 42, Iss. 2, pp. 169-178
Closed Access | Times Cited: 11
Radiomics at a Glance: A Few Lessons Learned from Learning Approaches
Enrico Capobianco, Jun Deng
Cancers (2020) Vol. 12, Iss. 9, pp. 2453-2453
Open Access | Times Cited: 13
Computed tomography-based radiomics nomogram for predicting therapeutic response to neoadjuvant chemotherapy in locally advanced gastric cancer
Wenjing Chen, Weiteng Zhang, Xietao Chen, et al.
Clinical & Translational Oncology (2024) Vol. 26, Iss. 8, pp. 1944-1955
Closed Access | Times Cited: 1
Towards XAI agnostic explainability to assess differential diagnosis for Meningitis diseases
Aya Messai, Ahlem Drif, Amel Ouyahia, et al.
Machine Learning Science and Technology (2024) Vol. 5, Iss. 2, pp. 025052-025052
Open Access | Times Cited: 1
Establishment and validation of novel MRI radiomic feature-based prognostic models to predict progression-free survival in locally advanced rectal cancer
Fei Xie, Qin Zhao, Shuqi Li, et al.
Frontiers in Oncology (2022) Vol. 12
Open Access | Times Cited: 3
Development and Validation of Deep Learning Drug Resistance Prediction Model For Lymph Node Tuberculosis Based on Ultrasound Radiomics: A Multicenter Study
Xu Zhang, Zhijian Dong, Hongming Li, et al.
(2024)
Closed Access
Prediction of the effectiveness of neoadjuvant chemoradiotherapy in patients with colorectal cancer based on a texture analysis of pretreatment T2-WI magnetic resonance imaging.
Yana A. Dayneko, Tatiana P. Berezovskaya, O.A. Mirzeabasov, et al.
Digital Diagnostics (2024)
Open Access
Inference From Complex Networks: Role of Symmetry and Applicability to Images
Enrico Capobianco
Frontiers in Applied Mathematics and Statistics (2020) Vol. 6
Open Access | Times Cited: 3
Radiomics Based Diagnosis with Medical Imaging: A Comprehensive Study
Sumindar Kaur Saini, Niharika Thakur, Mamta Juneja
Wireless Personal Communications (2023) Vol. 130, Iss. 1, pp. 481-514
Closed Access | Times Cited: 1
Big data analytics and radiomics to discover diagnostics on different cancer types
Ebru Aydındağ Bayrak, Pınar Kirci
Elsevier eBooks (2022), pp. 125-138
Closed Access
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