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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:

Radiomics based on multisequence magnetic resonance imaging for the preoperative prediction of peritoneal metastasis in ovarian cancer
Xiaoli Song, Jialiang Ren, Ting-Yu Yao, et al.
European Radiology (2021) Vol. 31, Iss. 11, pp. 8438-8446
Closed Access | Times Cited: 33

Showing 1-25 of 33 citing articles:

Role of Artificial Intelligence in Radiogenomics for Cancers in the Era of Precision Medicine
Sanjay Saxena, Biswajit Jena, Neha Gupta, et al.
Cancers (2022) Vol. 14, Iss. 12, pp. 2860-2860
Open Access | Times Cited: 86
Imaging Evaluation of Peritoneal Metastasis: Current and Promising Techniques
C. D. Fu, Bangxing Zhang, T. X. Guo, et al.
Korean Journal of Radiology (2024) Vol. 25, Iss. 1, pp. 86-86
Open Access | Times Cited: 8
A Multimodal Model Based on Transvaginal Ultrasound-Based Radiomics to Predict the Risk of Peritoneal Metastasis in Ovarian Cancer: A Multicenter Study
Yi Zhou, Yayang Duan, Qiwei Zhu, et al.
Academic Radiology (2025)
Closed Access | Times Cited: 1
A systematic review and meta-analysis of CT and MRI radiomics in ovarian cancer: methodological issues and clinical utility
Meng-Lin Huang, Jing Ren, Zhengyu Jin, et al.
Insights into Imaging (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 16
Imaging of Peritoneal Metastases in Ovarian Cancer Using MDCT, MRI, and FDG PET/CT: A Systematic Review and Meta-Analysis
Athina C. Tsili, George Α. Alexiou, Martha Tzoumpa, et al.
Cancers (2024) Vol. 16, Iss. 8, pp. 1467-1467
Open Access | Times Cited: 6
Ovarian cancer beyond imaging: integration of AI and multiomics biomarkers
Sepideh Hatamikia, Stéphanie Nougaret, Camilla Panico, et al.
European Radiology Experimental (2023) Vol. 7, Iss. 1
Open Access | Times Cited: 15
Prediction of platinum resistance for advanced high-grade serous ovarian carcinoma using MRI-based radiomics nomogram
Haiming Li, Songqi Cai, Linhong Deng, et al.
European Radiology (2023) Vol. 33, Iss. 8, pp. 5298-5308
Closed Access | Times Cited: 14
Associating Peritoneal Metastasis With T2‐Weighted MRI Images in Epithelial Ovarian Cancer Using Deep Learning and Radiomics: A Multicenter Study
Mingxiang Wei, Yu Zhang, Cong Ding, et al.
Journal of Magnetic Resonance Imaging (2023) Vol. 59, Iss. 1, pp. 122-131
Closed Access | Times Cited: 13
Combined radiomics-clinical model to predict platinum-sensitivity in advanced high-grade serous ovarian carcinoma using multimodal MRI
Inye Na, Joseph J. Noh, Chan Kyo Kim, et al.
Frontiers in Oncology (2024) Vol. 14
Open Access | Times Cited: 5
Radiomics and Radiogenomics of Ovarian Cancer
Camilla Panico, Giacomo Avesani, Konstantinos Zormpas‐Petridis, et al.
Radiologic Clinics of North America (2023) Vol. 61, Iss. 4, pp. 749-760
Closed Access | Times Cited: 12
Imaging of Peritoneal Carcinomatosis in Advanced Ovarian Cancer: CT, MRI, Radiomic Features and Resectability Criteria
Valentina Miceli, Marco Gennarini, Federica Tomao, et al.
Cancers (2023) Vol. 15, Iss. 24, pp. 5827-5827
Open Access | Times Cited: 11
Radiomics and radiogenomics: extracting more information from medical images for the diagnosis and prognostic prediction of ovarian cancer
Song Zeng, Xinlu Wang, Hua Yang
Military Medical Research (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 4
Ovarian imaging radiomics quality score assessment: an EuSoMII radiomics auditing group initiative
Andrea Ponsiglione, Arnaldo Stanzione, Gaia Spadarella, et al.
European Radiology (2022) Vol. 33, Iss. 3, pp. 2239-2247
Open Access | Times Cited: 17
Peritoneal Carcinosis: What the Radiologist Needs to Know
Alfonso Reginelli, Giuliana Giacobbe, Maria Teresa Del Canto, et al.
Diagnostics (2023) Vol. 13, Iss. 11, pp. 1974-1974
Open Access | Times Cited: 9
A Nomogram Combining MRI Multisequence Radiomics and Clinical Factors for Predicting Recurrence of High-Grade Serous Ovarian Carcinoma
Cuiping Li, Hongfei Wang, Yulan Chen, et al.
Journal of Oncology (2022) Vol. 2022, pp. 1-13
Open Access | Times Cited: 14
Predicting IDH Mutation Status in Low-Grade Gliomas Based on Optimal Radiomic Features Combined with Multi-Sequence Magnetic Resonance Imaging
Ailing He, Peng Wang, Aihua Zhu, et al.
Diagnostics (2022) Vol. 12, Iss. 12, pp. 2995-2995
Open Access | Times Cited: 13
Development and validation of an ultrasound‑based radiomics nomogram to predict lymph node status in patients with high-grade serous ovarian cancer: a retrospective analysis
Qi Yue, Jinchi Liu, Xinyue Wang, et al.
Journal of Ovarian Research (2024) Vol. 17, Iss. 1
Open Access | Times Cited: 2
Nomograms of Combining MRI Multisequences Radiomics and Clinical Factors for Differentiating High-Grade From Low-Grade Serous Ovarian Carcinoma
Cuiping Li, Hongfei Wang, Yulan Chen, et al.
Frontiers in Oncology (2022) Vol. 12
Open Access | Times Cited: 9
Preoperative prediction of miliary changes in the small bowel mesentery in advanced high-grade serous ovarian cancer using MRI radiomics nomogram
Qinhao Guo, Zijing Lin, Jing Lu, et al.
Abdominal Radiology (2023)
Closed Access | Times Cited: 4
Predicting CD27 expression and clinical prognosis in serous ovarian cancer using CT-based radiomics
Chen Zhang, Heng Cui, Yi Li, et al.
Journal of Ovarian Research (2024) Vol. 17, Iss. 1
Open Access | Times Cited: 1
Advances in ovarian cancer radiomics: a bibliometric analysis from 2010 to 2024
Lan Wang, Hong Jiang, Tan Hua-yun
Frontiers in Oncology (2024) Vol. 14
Open Access | Times Cited: 1
Radiomics in the evaluation of ovarian masses — a systematic review
Pratik Adusumilli, Nishant Ravikumar, Geoff Hall, et al.
Insights into Imaging (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 2
CT-Based Radiomics for the Preoperative Prediction of Occult Peritoneal Metastasis in Epithelial Ovarian Cancers
Jiao Jiao Li, Jianing Zhang, Fang Wang, et al.
Academic Radiology (2023) Vol. 31, Iss. 5, pp. 1918-1930
Closed Access | Times Cited: 2
Preoperative Prediction of BRAF Mutation Status in Colorectal Cancer Using a Clinical-radiomics Model
Ting Xue, Hui Peng, Qiaoling Chen, et al.
Academic Radiology (2022) Vol. 29, Iss. 9, pp. 1298-1307
Closed Access | Times Cited: 3
MRI-based radiomics model to preoperatively predict mesenchymal transition subtype in high-grade serous ovarian cancer
Zhenyang Lin, Hong Ge, Qinhao Guo, et al.
Clinical Radiology (2024) Vol. 79, Iss. 5, pp. e715-e724
Closed Access
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