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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.

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Showing 19 citing articles:

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
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
Sentinel lymph node biopsy in endometrial cancer: When, how and in which patients
Umberto Leone Roberti Maggiore, Ludovica Spanò Bascio, Carlo Alboni, et al.
European Journal of Surgical Oncology (2024) Vol. 50, Iss. 3, pp. 107956-107956
Closed Access | Times Cited: 4
Prediction of Lymph Node Metastasis in Endometrial Cancer Based on Color Doppler Ultrasound Radiomics
Xiaoling Liu, Weihan Xiao, Jing Qiao, et al.
Academic Radiology (2024) Vol. 31, Iss. 11, pp. 4499-4508
Closed Access | Times Cited: 4
Multiparametric magnetic resonance imaging-based radiomics nomogram for predicting tumor grade in endometrial cancer
Xiaoning Yue, Xiaoyu He, Shuaijie He, 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
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
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
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
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
Construction and validation of a clinical risk model based on machine learning for screening characteristic factors of lymphovascular space invasion in endometrial cancer
Fang Wang, Rui Pang, Shaohong Shi, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 1
Sentinel Lymph Node Assessment in Endometrial Cancer: A Review
Christopher Clark, Vera Loizzi, Gennaro Cormio, et al.
Cancers (2024) Vol. 16, Iss. 18, pp. 3202-3202
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
Update of sentinel lymph node mapping assessment in endometrial cancer
Se Ik Kim, Jae‐Weon Kim
Gynecology and Obstetrics Clinical Medicine (2023) Vol. 3, Iss. 1, pp. 1-6
Open Access | Times Cited: 3
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
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
Multiparametric MRI-based radiomics nomogram for identifying cervix-corpus junction cervical adenocarcinoma from endometrioid adenocarcinoma
Yuhan Fang, Keying Wang, Meiling Xiao, et al.
Abdominal Radiology (2024) Vol. 49, Iss. 5, pp. 1557-1568
Closed Access
Development and Validation of a Nomogram Based on Multiparametric MRI for Predicting Lymph Node Metastasis in Endometrial Cancer: A Retrospective Cohort Study
Yuanfang Tao, Yuchen Wei, Yanyan Yu, et al.
Academic Radiology (2024)
Closed Access
Radiomics in Gynaecological Imaging: A State-of-the-Art Review
Paolo Niccolò Franco, Federica Vernuccio, Cesare Maino, et al.
Applied Sciences (2023) Vol. 13, Iss. 21, pp. 11839-11839
Open Access
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