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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 51-75 of 81 citing articles:

MRI-Based Radiomics Nomogram for Selecting Ovarian Preservation Treatment in Patients With Early-Stage Endometrial Cancer
Bi Cong Yan, Xiao Liang, Ying Li, et al.
Frontiers in Oncology (2021) Vol. 11
Open Access | Times Cited: 11
Comprehensive prognostic modeling of locoregional recurrence after radiotherapy for patients with locoregionally advanced hypopharyngeal squamous cell carcinoma
Hongjia Liu, Dan Zhao, Yuliang Huang, et al.
Frontiers in Oncology (2023) Vol. 13
Open Access | Times Cited: 4
Radiomics-based fertility-sparing treatment in endometrial carcinoma: a review
Yuanjian Wang, Zhongshao Chen, Chang Liu, et al.
Insights into Imaging (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 4
Extended belief rule base with ensemble imbalanced learning for lymph node metastasis diagnosis in endometrial carcinoma
Long-Hao Yang, Tianyu Ren, Fei-Fei Ye, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 126, pp. 106950-106950
Closed Access | Times Cited: 4
Diagnostic Performance of Preoperative Imaging in Endometrial Cancer
Chiaki Hashimoto, Shogo Shigeta, Muneaki Shimada, et al.
Current Oncology (2023) Vol. 30, Iss. 9, pp. 8233-8244
Open Access | Times Cited: 4
Predicting Risk Stratification in Early-Stage Endometrial Carcinoma: Significance of Multiparametric MRI Radiomics Model
Huan Meng, Yu-Feng Sun, Yu Zhang, et al.
Deleted Journal (2024) Vol. 37, Iss. 1, pp. 81-91
Open Access | Times Cited: 1
Radiomic Features Based on Multi-sequence MRI Predict Immunohistochemical Biomarkers of Endometrial Cancer
Liting Shen, Xiaojun Chen, Lan Li, et al.
Research Square (Research Square) (2024)
Open Access | Times Cited: 1
Multiparameter MRI-based radiomics analysis for preoperative prediction of type II endometrial cancer
Yingying Cao, Wei Zhang, Xiaorong Wang, et al.
Heliyon (2024) Vol. 10, Iss. 12, pp. e32940-e32940
Open Access | Times Cited: 1
Multiparametric MRI-based radiomics combined with 3D deep transfer learning to predict cervical stromal invasion in patients with endometrial carcinoma
Xianhong Wang, Qiu Bi, Cheng Deng, et al.
Abdominal Radiology (2024)
Closed Access | Times Cited: 1
MRI-based radiomics model for predicting endometrial cancer with high tumor mutation burden
Xuxu Meng, Dawei Yang, He Jin, et al.
Abdominal Radiology (2024)
Closed Access | Times Cited: 1
Advances in Radiomics Research for Endometrial Cancer: A Comprehensive Review
Wenxiu Guo, Tong Wang, Binglin Lv, et al.
Journal of Cancer (2023) Vol. 14, Iss. 18, pp. 3523-3531
Open Access | Times Cited: 3
Multi-parametric MRI-based radiomics for preoperative prediction of multiple biological characteristics in endometrial cancer
Changjun Ma, Ying Zhao, Qingling Song, et al.
Frontiers in Oncology (2023) Vol. 13
Open Access | Times Cited: 3
The value of machine learning in preoperative identification of lymph node metastasis status in endometrial cancer: a systematic review and meta-analysis
Zhonglian Ren, Banghong Chen, Changying Hong, et al.
Frontiers in Oncology (2023) Vol. 13
Open Access | Times Cited: 3
Comparison of MRI and CT-based radiomics for preoperative prediction of lymph node metastasis in pancreatic ductal adenocarcinoma
Piaoe Zeng, Chao Qu, Jianfang Liu, et al.
Acta Radiologica (2022) Vol. 64, Iss. 7, pp. 2221-2228
Closed Access | Times Cited: 4
MRI-based radiomics model for distinguishing Stage I endometrial carcinoma from endometrial polyp: a multicenter study
Liting Shen, Lixin Du, Yumin Hu, et al.
Acta Radiologica (2023) Vol. 64, Iss. 9, pp. 2651-2658
Closed Access | Times Cited: 2
It is time to implement molecular classification in endometrial cancer
Valentina Bruno, Alessandra Logoteta, Benito Chiofalo, et al.
Archives of Gynecology and Obstetrics (2023) Vol. 309, Iss. 3, pp. 745-753
Closed Access | Times Cited: 2
CT Radiomics and Clinical Feature Model to Predict Lymph Node Metastases in Early-Stage Testicular Cancer
Catharina Silvia Lisson, Sabitha Manoj, Daniël De Wolf, et al.
(2023)
Open Access | Times Cited: 1
Preoperative assessment of high-grade endometrial cancer using a radiomic signature and clinical indicators
Tao Zheng, Jiangyang Pan, Dan Du, et al.
Future Oncology (2023) Vol. 19, Iss. 8, pp. 587-601
Closed Access | Times Cited: 1
Comparison of Multi-Modal Federated Learning Framework and SPSS in the Evaluation of Lymph Node Metastasis Probability in Gynecological Malignancies
Zhijun Hu, Ling Ma, Yue Ding, et al.
(2023), pp. 280-284
Closed Access | Times Cited: 1
Letter to the Editor: Nodal infiltration in endometrial cancer: a prediction model using best subset regression
Marike Lombaers, Ingfrid S. Haldorsen, Casper Reijnen, et al.
European Radiology (2024) Vol. 34, Iss. 12, pp. 7693-7695
Closed Access
Reply to Letter to the Editor: Nodal infiltration in endometrial cancer: a prediction model using best subset regression
Yuki Himoto, Mizuho Nishio, Koji Yamanoi, et al.
European Radiology (2024) Vol. 34, Iss. 12, pp. 7696-7697
Closed Access
Multiparametric MRI radiomics for predicting disease-free survival and high-risk histopathological features for tumor recurrence in endometrial cancer
Mary Renton, Mina Fakhriyehasl, Jessica Weiss, et al.
Frontiers in Oncology (2024) Vol. 14
Open Access
Advancements in Artificial Intelligence in the study of Endometrium
Jorge R. Suarez
The Journal of Reproduction (2024), pp. 212-221
Open Access
Endometrial cancer risk stratification using MRI radiomics: corroborating with choline metabolism
Yenpo Lin, Ren‐Chin Wu, Yu‐Chun Lin, et al.
Cancer Imaging (2024) Vol. 24, Iss. 1
Open Access
Intratumoral and peritumoral habitat imaging based on multiparametric MRI to predict cervical stromal invasion in early-stage endometrial carcinoma
Xianhong Wang, Cheng Deng, Ruize Kong, et al.
Academic Radiology (2024)
Closed Access

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