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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 radiomics: A machine learning approach for the risk stratification of endometrial cancer patients
Pier Paolo Mainenti, Arnaldo Stanzione, Renato Cuocolo, et al.
European Journal of Radiology (2022) Vol. 149, pp. 110226-110226
Closed Access | Times Cited: 31

Showing 1-25 of 31 citing articles:

Role of Genomic and Molecular Biology in the Modulation of the Treatment of Endometrial Cancer: Narrative Review and Perspectives
Ilaria Cuccu, Ottavia D’Oria, Ludovica Sgamba, et al.
Healthcare (2023) Vol. 11, Iss. 4, pp. 571-571
Open Access | Times Cited: 55
Magnetic resonance imaging-radiomics in endometrial cancer: a systematic review and meta-analysis
Violante Di Donato, Evangelos Kontopantelis, Ilaria Cuccu, et al.
International Journal of Gynecological Cancer (2023) Vol. 33, Iss. 7, pp. 1070-1076
Closed Access | Times Cited: 37
Potential value of novel multiparametric MRI radiomics for preoperative prediction of microsatellite instability and Ki-67 expression in endometrial cancer
Zhichao Wang, Yan Hu, Jun Cai, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access | Times Cited: 1
Robustness of radiomics to variations in segmentation methods in multimodal brain MRI
Maarten Gijsbert Poirot, Matthan W.A. Caan, Henricus G. Ruhé, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 25
Prediction of Deep Myometrial Infiltration, Clinical Risk Category, Histological Type, and Lymphovascular Space Invasion in Women with Endometrial Cancer Based on Clinical and T2-Weighted MRI Radiomic Features
Xingfeng Li, Michele Dessi, Diana Marcus, et al.
Cancers (2023) Vol. 15, Iss. 8, pp. 2209-2209
Open Access | Times Cited: 15
Application of magnetic resonance imaging radiomics in endometrial cancer: a systematic review and meta-analysis
Meng-Lin Huang, Jing Ren, Zhengyu Jin, et al.
La radiologia medica (2024) Vol. 129, Iss. 3, pp. 439-456
Closed Access | Times Cited: 6
The intelligent imaging revolution: artificial intelligence in MRI and MRS acquisition and reconstruction
Thomas Küstner, Chen Qin, Changyu Sun, et al.
Magnetic Resonance Materials in Physics Biology and Medicine (2024) Vol. 37, Iss. 3, pp. 329-333
Open Access | Times Cited: 4
Evaluating the quality of radiomics-based studies for endometrial cancer using RQS and METRICS tools
Luca Russo, Silvia Bottazzi, Burak Koçak, et al.
European Radiology (2024) Vol. 35, Iss. 1, pp. 202-214
Open Access | Times Cited: 4
Prediction of molecular subtypes of endometrial cancer patients on the basis of intratumoral and peritumoral radiomic features from multiparametric MR images
Jing Zhou, Xuan Yu, Yànli Cūi, et al.
European Journal of Radiology (2025), pp. 112110-112110
Closed Access
Accuracy of radiomics in the diagnosis and preoperative high-risk assessment of endometrial cancer: a systematic review and meta-analysis
Junmei He, Yurong Liu, Jinzhu Li, et al.
Frontiers in Oncology (2024) Vol. 14
Open Access | Times Cited: 3
Radiomics model based on multi-sequence MRI for preoperative prediction of ki-67 expression levels in early endometrial cancer
Si-Xuan Ding, Yu-Feng Sun, Huan Meng, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 7
Preoperative Tumor Texture Analysis on MRI for High-Risk Disease Prediction in Endometrial Cancer: A Hypothesis-Generating Study
Maura Miccò, Benedetta Gui, Luca Russo, et al.
Journal of Personalized Medicine (2022) Vol. 12, Iss. 11, pp. 1854-1854
Open Access | Times Cited: 11
Combined deep-learning MRI-based radiomic models for preoperative risk classification of endometrial endometrioid adenocarcinoma
Jin Yang, Yuying Cao, Fangzhu Zhou, et al.
Frontiers in Oncology (2023) Vol. 13
Open Access | Times Cited: 6
Both intra- and peri-tumoral radiomics signatures can be used to predict lymphatic vascular space invasion and lymphatic metastasis positive status from endometrial cancer MR imaging
Shengyong Li, Yida Wang, Yiyang Sun, et al.
Abdominal Radiology (2024) Vol. 49, Iss. 11, pp. 4140-4150
Closed Access | Times Cited: 2
Radiomics in endometrial cancer and beyond - a perspective from the editors of the EJR
Daniel Pinto dos Santos
European Journal of Radiology (2022) Vol. 150, pp. 110266-110266
Closed Access | Times Cited: 10
Preoperative Imaging Evaluation of Endometrial Cancer in FIGO 2023
Aki Kido, Yuki Himoto, Yasuhisa Kurata, et al.
Journal of Magnetic Resonance Imaging (2023) Vol. 60, Iss. 4, pp. 1225-1242
Closed Access | Times Cited: 5
Artificial Intelligence and Radiomics for Endometrial Cancer MRI: Exploring the Whats, Whys and Hows
Elisabetta Leo, Arnaldo Stanzione, Mariaelena Miele, et al.
Journal of Clinical Medicine (2023) Vol. 13, Iss. 1, pp. 226-226
Open Access | Times Cited: 5
Artificial Intelligence in the Era of Precision Oncological Imaging
Michaela Cellina, Maurizio Cè, Natallia Khenkina, et al.
Technology in Cancer Research & Treatment (2022) Vol. 21
Open Access | Times Cited: 8
Postpartum Haemorrhage Risk Prediction Model Developed by Machine Learning Algorithms: A Single-Centre Retrospective Analysis of Clinical Data
Wenhuan Wang, Chanchan Liao, Hong Ping Zhang, et al.
Clinical and Experimental Obstetrics & Gynecology (2024) Vol. 51, Iss. 3, pp. 60-60
Open Access | Times Cited: 1
ECMS-NET:A multi-task model for early endometrial cancer MRI sequences classification and segmentation of key tumor structures
Longxiang Feng, Chunxia Chen, Lin Wang, et al.
Biomedical Signal Processing and Control (2024) Vol. 93, pp. 106223-106223
Closed Access | Times Cited: 1
Multimodal MRI-based radiomics models for the preoperative prediction of lymphovascular space invasion of endometrial carcinoma
Dong Liu, Jinyu Huang, Yu-feng Zhang, et al.
BMC Medical Imaging (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 1
Artificial Intelligence in Obstetric and Gynecological MR Imaging
Tsukasa Saida, Wenchao Gu, Sodai Hoshiai, et al.
Magnetic Resonance in Medical Sciences (2024)
Open Access | Times Cited: 1
Evaluation of Feature Selection for Alzheimer’s Disease Diagnosis
Fengshou Gu, Songhua Ma, Xiude Wang, et al.
Frontiers in Aging Neuroscience (2022) Vol. 14
Open Access | Times Cited: 6
A nomogram for preoperative risk stratification based on MRI morphological parameters in patients with endometrioid endometrial carcinoma
Bin Yan, Zhihao Li, Ying Deng, et al.
European Journal of Radiology (2023) Vol. 163, pp. 110789-110789
Closed Access | Times Cited: 3
Review of Artificial Intelligence methods for detecting cancer in medical image processing
Priya Sarkar, Ashim Saha
(2023), pp. 636-640
Closed Access | Times Cited: 3
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