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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:

Association of MRI-derived radiomic biomarker with disease-free survival in patients with early-stage cervical cancer
Fang Jin, Bin Zhang, Shuo Wang, et al.
Theranostics (2020) Vol. 10, Iss. 5, pp. 2284-2292
Open Access | Times Cited: 75

Showing 1-25 of 75 citing articles:

Radiomics Analysis of Computed Tomography helps predict poor prognostic outcome in COVID-19
Qingxia Wu, Shuo Wang, Liang Li, et al.
Theranostics (2020) Vol. 10, Iss. 16, pp. 7231-7244
Open Access | Times Cited: 103
Systematic review and meta-analysis of prediction models used in cervical cancer
Ashish Kumar Jha, Sneha Mithun, Umesh B. Sherkhane, et al.
Artificial Intelligence in Medicine (2023) Vol. 139, pp. 102549-102549
Open Access | Times Cited: 25
MRI-based deep learning radiomics to differentiate dual-phenotype hepatocellular carcinoma from HCC and intrahepatic cholangiocarcinoma: a multicenter study
Qian Wu, Tao Zhang, Fan Xu, et al.
Insights into Imaging (2025) Vol. 16, Iss. 1
Open Access | Times Cited: 1
MRI-based radiomics signature for pretreatment prediction of pathological response to neoadjuvant chemotherapy in osteosarcoma: a multicenter study
Haimei Chen, Xiao Zhang, Xiaohong Wang, et al.
European Radiology (2021) Vol. 31, Iss. 10, pp. 7913-7924
Closed Access | Times Cited: 48
Big data and artificial intelligence in cancer research
Xifeng Wu, Wenyuan Li, Huakang Tu
Trends in cancer (2023) Vol. 10, Iss. 2, pp. 147-160
Closed Access | Times Cited: 19
Habitat-based radiomics enhances the ability to predict lymphovascular space invasion in cervical cancer: a multi-center study
Shuxing Wang, Xiaowen Liu, Yu Wu, et al.
Frontiers in Oncology (2023) Vol. 13
Open Access | Times Cited: 16
MRI-based radiomics value for predicting the survival of patients with locally advanced cervical squamous cell cancer treated with concurrent chemoradiotherapy
Xiaomiao Zhang, Jingwei Zhao, Qi Zhang, et al.
Cancer Imaging (2022) Vol. 22, Iss. 1
Open Access | Times Cited: 25
A Multicenter Study on Preoperative Assessment of Lymphovascular Space Invasion in Early‐Stage Cervical Cancer Based on Multimodal MR Radiomics
Yu Wu, Shuxing Wang, Yiqing Chen, et al.
Journal of Magnetic Resonance Imaging (2023) Vol. 58, Iss. 5, pp. 1638-1648
Closed Access | Times Cited: 14
Radiomics systematic review in cervical cancer: gynecological oncologists’ perspective
Nicolò Bizzarri, Luca Russo, Miriam Dolciami, et al.
International Journal of Gynecological Cancer (2023) Vol. 33, Iss. 10, pp. 1522-1541
Closed Access | Times Cited: 14
Radiomics in cervical and endometrial cancer
Lucia Manganaro, Gabriele Maria Nicolino, Miriam Dolciami, et al.
British Journal of Radiology (2021) Vol. 94, Iss. 1125
Open Access | Times Cited: 30
Radiomic Score as a Potential Imaging Biomarker for Predicting Survival in Patients With Cervical Cancer
Handong Li, Miaochen Zhu, Lian Jian, et al.
Frontiers in Oncology (2021) Vol. 11
Open Access | Times Cited: 27
Multi-parametric MRI-based peritumoral radiomics on prediction of lymph-vascular space invasion in early-stage cervical cancer
Linpeng Cui, Tao Yu, Yangyang Kan, et al.
Diagnostic and Interventional Radiology (2022) Vol. 28, Iss. 4, pp. 312-321
Open Access | Times Cited: 19
Prediction by a multiparametric magnetic resonance imaging-based radiomics signature model of disease-free survival in patients with rectal cancer treated by surgery
Jiwei Mao, Wanli Ye, Weili Ma, et al.
Frontiers in Oncology (2024) Vol. 14
Open Access | Times Cited: 4
Computed tomography–based radiomics modeling to predict patient overall survival in cervical cancer with intensity-modulated radiotherapy combined with concurrent chemotherapy
Lihong Xiao, Youhua Wang, Xiangxiang Shi, et al.
Journal of International Medical Research (2025) Vol. 53, Iss. 3
Open Access
A prediction method for radiation proctitis based on SAM-Med2D model
Ning Zhang, Haifeng Ling, Wenyu Zhang, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
A Hybrid Model-Based Clinicopathological Features and Radiomics Based on Conventional MRI for Predicting Lymph Node Metastasis and DFS in Cervical Cancer
Mingke Tian, Fengying Qin, Xinyan Sun, et al.
Deleted Journal (2025)
Closed Access
Radiomics Prediction of EGFR Status in Lung Cancer—Our Experience in Using Multiple Feature Extractors and The Cancer Imaging Archive Data
Lin Lü, Shawn Sun, Hao Yang, et al.
Tomography (2020) Vol. 6, Iss. 2, pp. 223-230
Open Access | Times Cited: 29
Challenges in ensuring the generalizability of image quantitation methods for MRI
Kathryn E. Keenan, Jana G. Delfino, Kalina V. Jordanova, et al.
Medical Physics (2021) Vol. 49, Iss. 4, pp. 2820-2835
Open Access | Times Cited: 24
Multiparametric magnetic resonance imaging-derived radiomics for the prediction of disease-free survival in early-stage squamous cervical cancer
Yan Zhou, Hailei Gu, Xinlu Zhang, et al.
European Radiology (2021) Vol. 32, Iss. 4, pp. 2540-2551
Closed Access | Times Cited: 24
Computed tomography–based radiomics machine learning classifiers to differentiate type I and type II epithelial ovarian cancers
Jiao Jiao Li, Xubin Li, Juanwei Ma, et al.
European Radiology (2022) Vol. 33, Iss. 7, pp. 5193-5204
Closed Access | Times Cited: 18
Radiomics Analysis of Multiparametric MRI for Prediction of Synchronous Lung Metastases in Osteosarcoma
Zhendong Luo, Jing Li, Yuting Liao, et al.
Frontiers in Oncology (2022) Vol. 12
Open Access | Times Cited: 17
Prediction of lymph node status in patients with early-stage cervical cancer based on radiomic features of magnetic resonance imaging (MRI) images
Shuyu Liu, Yu Zhou, Caizhi Wang, et al.
BMC Medical Imaging (2023) Vol. 23, Iss. 1
Open Access | Times Cited: 9
Comparative study of radiomics, tumor morphology, and clinicopathological factors in predicting overall survival of patients with rectal cancer before surgery
Chuanji Zhou, Zheng Wang, Shao-Lv Lai, et al.
Translational Oncology (2022) Vol. 18, pp. 101352-101352
Open Access | Times Cited: 14
MRI-Based Radiomics and Urine Creatinine for the Differentiation of Renal Angiomyolipoma With Minimal Fat From Renal Cell Carcinoma: A Preliminary Study
Lian Jian, Yan Liu, Yu Xie, et al.
Frontiers in Oncology (2022) Vol. 12
Open Access | Times Cited: 14
Identification of Gαi3 as a novel molecular therapeutic target of cervical cancer
Jie Zhang, De-Pei Yin, Yan Zhang, et al.
International Journal of Biological Sciences (2022) Vol. 18, Iss. 15, pp. 5667-5680
Open Access | Times Cited: 14
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