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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:

Radiologists with MRI-based radiomics aids to predict the pelvic lymph node metastasis in endometrial cancer: a multicenter study
Bi Cong Yan, Ying Li, Hua Feng, et al.
European Radiology (2020) Vol. 31, Iss. 1, pp. 411-422
Closed Access | Times Cited: 81

Showing 26-50 of 81 citing articles:

Multi‐sequence MRI‐based clinical‐radiomics models for the preoperative prediction of microsatellite instability‐high status in endometrial cancer
Zhuang Li, Yi Su, Yongbin Cui, et al.
Precision Radiation Oncology (2025)
Open Access
The qualitative and quantitative characteristics of serous endometrial carcinoma on MRI: applying a novel nomogram for predicting an aggressive histological type
Rennan Ling, Hongtao Jin, He Zhang
Frontiers in Oncology (2025) Vol. 15
Open Access
External validation of CEA and CA125 prediction model for lymph node metastasis in endometrial cancer: A multi-institute cohort study
Hao Lin, Hung‐Chun Fu, S.-Y. Huang, et al.
Cancer Biomarkers (2025) Vol. 42, Iss. 3
Closed Access
Predictive value of models based on MRI radiomics and clinical indicators for lymphovascular space invasion in endometrial cancer
Wen Ma, Weijing Meng, Jinfeng Yin, et al.
BMC Cancer (2025) Vol. 25, Iss. 1
Open Access
Endometrial cancer from early to advanced-stage disease: an update for radiologists
Cibele Luna, Patricia Balcacer, Patricia Castillo, et al.
Abdominal Radiology (2021) Vol. 46, Iss. 11, pp. 5325-5336
Closed Access | Times Cited: 23
Magnetic resonance-based radiomics nomogram for predicting microsatellite instability status in endometrial cancer
Zijing Lin, Ting Wang, Haiming Li, et al.
Quantitative Imaging in Medicine and Surgery (2022) Vol. 13, Iss. 1, pp. 108-120
Open Access | Times Cited: 16
Comparison of preoperative CT- and MRI-based multiparametric radiomics in the prediction of lymph node metastasis in rectal cancer
Yue Niu, Xiaoping Yu, Lu Wen, et al.
Frontiers in Oncology (2023) Vol. 13
Open Access | Times Cited: 9
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
Determination of p53abn endometrial cancer: a multitask analysis using radiological-clinical nomogram on MRI
Yan Ning, Wei Liu, Haijie Wang, et al.
British Journal of Radiology (2024) Vol. 97, Iss. 1157, pp. 954-963
Open Access | Times Cited: 3
A comparison of 2D and 3D magnetic resonance imaging-based intratumoral and peritumoral radiomics models for the prognostic prediction of endometrial cancer: a pilot study
Ruixin Yan, Siyuan Qin, Jiajia Xu, et al.
Cancer Imaging (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 3
Preoperative prediction of lymph node metastasis in endometrial cancer patients via an intratumoral and peritumoral multiparameter MRI radiomics nomogram
Bin Yan, Tingting Zhao, Ying Deng, et al.
Frontiers in Oncology (2024) Vol. 14
Open Access | Times Cited: 3
Preoperative Assessment of MRI‐Invisible Early‐Stage Endometrial Cancer With MRI‐Based Radiomics Analysis
Xiaoting Jiang, Jiacheng Song, Aining Zhang, et al.
Journal of Magnetic Resonance Imaging (2022) Vol. 58, Iss. 1, pp. 247-255
Closed Access | Times Cited: 14
Different multiparametric MRI-based radiomics models for differentiating stage IA endometrial cancer from benign endometrial lesions: A multicenter study
Qiu Bi, Yaoxin Wang, Yuchen Deng, et al.
Frontiers in Oncology (2022) Vol. 12
Open Access | Times Cited: 13
Development of MRI-based radiomics predictive model for classifying endometrial lesions
Jiaqi Liu, Shiyun Li, Huashan Lin, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 8
Non-invasive prediction model of axillary lymph node status in patients with early-stage breast cancer: a feasibility study based on dynamic contrast-enhanced-MRI radiomics
Weiyue Chen, Guihan Lin, Chunli Kong, et al.
British Journal of Radiology (2023) Vol. 97, Iss. 1154, pp. 439-450
Open Access | Times Cited: 8
MRI-based radiomics model for distinguishing endometrial carcinoma from benign mimics: A multicenter study
Xiaojun Chen, Xue Wang, Meng Gan, et al.
European Journal of Radiology (2021) Vol. 146, pp. 110072-110072
Closed Access | Times Cited: 17
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
Radiomics in Abdominopelvic Solid-Organ Oncologic Imaging: Current Status
Xiaoyang Liu, Mohamed Elbanan, Antonio Luna, et al.
American Journal of Roentgenology (2022) Vol. 219, Iss. 6, pp. 985-995
Open Access | Times Cited: 11
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
A Radiomic-Based Machine Learning Model Predicts Endometrial Cancer Recurrence Using Preoperative CT Radiomic Features: A Pilot Study
Camelia Alexandra Coadă, Miriam Santoro, Vladislav Zybin, et al.
Cancers (2023) Vol. 15, Iss. 18, pp. 4534-4534
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
A comparative study between deep learning and radiomics models in grading liver tumors using hepatobiliary phase contrast-enhanced MR images
Lixin Du, Jianpeng Yuan, Meng Gan, et al.
BMC Medical Imaging (2022) Vol. 22, Iss. 1
Open Access | Times Cited: 10
Metabolic syndrome score as an indicator in a predictive nomogram for lymph node metastasis in endometrial cancer
Xuan Feng, Xing Chen Li, Xiao Yang, et al.
BMC Cancer (2023) Vol. 23, Iss. 1
Open Access | Times Cited: 5
MRI Texture Analysis for Preoperative Prediction of Lymph Node Metastasis in Patients with Nonsquamous Cell Cervical Carcinoma
Mei Xiao, Wei Yan, Jing Zhang, et al.
Academic Radiology (2022) Vol. 29, Iss. 11, pp. 1661-1671
Closed Access | Times Cited: 9
Radiomics in radiation oncology for gynecological malignancies: a review of literature
Morgan Michalet, D. Azria, Marion Tardieu, et al.
British Journal of Radiology (2021) Vol. 94, Iss. 1125
Open Access | Times Cited: 11

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