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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:

A nomogram strategy for identifying the subclassification of IDH mutation and ATRX expression loss in lower-grade gliomas
Shiman Wu, Xi Zhang, Wenting Rui, et al.
European Radiology (2022) Vol. 32, Iss. 5, pp. 3187-3198
Closed Access | Times Cited: 24

Showing 24 citing articles:

Radiogenomics: a key component of precision cancer medicine
Zaoqu Liu, Tian Duan, Yuyuan Zhang, et al.
British Journal of Cancer (2023) Vol. 129, Iss. 5, pp. 741-753
Open Access | Times Cited: 43
Multimodal-based machine learning strategy for accurate and non-invasive prediction of intramedullary glioma grade and mutation status of molecular markers: a retrospective study
Chao Ma, Liyang Wang, Dengpan Song, et al.
BMC Medicine (2023) Vol. 21, Iss. 1
Open Access | Times Cited: 19
Shape and texture analyses based on conventional MRI for the preoperative prediction of the aggressiveness of pituitary adenomas
Xiaoqing Wang, Yongming Dai, Hai Lin, et al.
European Radiology (2023) Vol. 33, Iss. 5, pp. 3312-3321
Closed Access | Times Cited: 15
Deep-learning and conventional radiomics to predict IDH genotyping status based on magnetic resonance imaging data in adult diffuse glioma
Hongjian Zhang, Xiao Fan, Junxia Zhang, et al.
Frontiers in Oncology (2023) Vol. 13
Open Access | Times Cited: 11
Artificial Intelligence Imaging for Predicting High-risk Molecular Markers of Gliomas
Qian Liang, Jing Hui, Yingbo Shao, et al.
Clinical Neuroradiology (2024) Vol. 34, Iss. 1, pp. 33-43
Closed Access | Times Cited: 4
Radiomics in glioma: emerging trends and challenges
Zihan Wang, Lei Wang, Yinyan Wang
Annals of Clinical and Translational Neurology (2025)
Open Access
Radiomics based on preoperative magnetic resonance imaging predict the cell lineages of nonfunctioning pituitary neuroendocrine tumors
Xuening Zhao, Xu Fu, Xiaochen Wang, et al.
Neuroradiology (2025)
Closed Access
Machine-Learning-Based Computed Tomography Radiomics Regression Model for Predicting Pulmonary Function
Wenfang Wang, Yingli Sun, Ruoyu Wu, et al.
Academic Radiology (2025)
Open Access
Combining Multi-Shell Diffusion with Conventional MRI Improves Molecular Diagnosis of Diffuse Gliomas with Deep Learning
Golestan Karami, Riccardo Pascuzzo, Matteo Figini, et al.
Cancers (2023) Vol. 15, Iss. 2, pp. 482-482
Open Access | Times Cited: 7
MRI-derived radiomics and end-to-end deep learning models for predicting glioma ATRX status: a systematic review and meta-analysis of diagnostic test accuracy studies
Amir Mahmoud Ahmadzadeh, Nima Broomand Lomer, Mohammad Amin Ashoobi, et al.
Clinical Imaging (2024) Vol. 119, pp. 110386-110386
Closed Access | Times Cited: 2
Noninvasive prediction of IDH mutation status in gliomas using preoperative multiparametric MRI radiomics nomogram: A mutlicenter study
Jun Lü, Wenjuan Xu, Xiaocao Chen, et al.
Magnetic Resonance Imaging (2023) Vol. 104, pp. 72-79
Closed Access | Times Cited: 6
A fusion model integrating magnetic resonance imaging radiomics and deep learning features for predicting alpha-thalassemia X-linked intellectual disability mutation status in isocitrate dehydrogenase–mutant high-grade astrocytoma: a multicenter study
Zhi Liu, Xinyi Xu, Wang Zhang, et al.
Quantitative Imaging in Medicine and Surgery (2023) Vol. 14, Iss. 1, pp. 251-263
Open Access | Times Cited: 6
Predictive value of TCM clinical index for diabetic peripheral neuropathy among the type 2 diabetes mellitus population: A new observation and insight
Zhikui Tian, Yadong Fan, Xuan Sun, et al.
Heliyon (2023) Vol. 9, Iss. 6, pp. e17339-e17339
Open Access | Times Cited: 5
Predicting IDH and ATRX mutations in gliomas from radiomic features with machine learning: a systematic review and meta-analysis
Chia‐Min Chung, Laura Elin Pigott
Frontiers in Radiology (2024) Vol. 4
Open Access | Times Cited: 1
A Survey of Radiomics in Precision Diagnosis and Treatment of Adult Gliomas
Peng Du, Hongyi Chen, Kun Lv, et al.
Journal of Clinical Medicine (2022) Vol. 11, Iss. 13, pp. 3802-3802
Open Access | Times Cited: 6
Prediction of IDH1 gene mutation by a nomogram based on multiparametric and multiregional MR images
Jinjing Zheng, Haibo Dong, Ming Li, et al.
Clinics (2023) Vol. 78, pp. 100238-100238
Open Access | Times Cited: 3
The value of multiparametric MRI radiomics in predicting IDH genotype in glioma before surgery
Yuanzi Liang, Wenjuan Liu, Dong Bai, et al.
Frontiers in Oncology (2023) Vol. 13
Open Access | Times Cited: 3
Predicting isocitrate dehydrogenase genotype, histological phenotype, and Ki-67 expression level in diffuse gliomas with an advanced contrast analysis of magnetic resonance imaging sequences
Yuanyuan Cui, Yixuan Dang, Hao Zhang, et al.
Quantitative Imaging in Medicine and Surgery (2023) Vol. 13, Iss. 6, pp. 3400-3415
Open Access | Times Cited: 2
A qBOLD‐based clinical radiomics‐integrated model for predicting isocitrate dehydrogenase‐1 mutation in gliomas
Jiaxin Wu, Jun Qiu, Ying Yang, et al.
Medical Physics (2024)
Closed Access
Deep Learning Method for Predicting ATRX Mutation Status in Gliomas Using Multimodal MRI
Yapeng Wu, Rong Liu, Shuiping Gou, et al.
(2024), pp. 91-96
Closed Access
Multi-b-value diffusion stretched-exponential model parameters correlate with MIB-1 and CD34 expression in Glioma patients, an intraoperative MR-navigated, biopsy-based histopathologic study
Junlong Wang, Hua Zhang, Xuefei Dang, et al.
Frontiers in Oncology (2023) Vol. 13
Open Access
A two-step prediction model for diagnosis of germinomas in the pineal region
Yang Yu, Xiaoli Lu, Yidi Yao, et al.
Neuro-Oncology Advances (2023)
Open Access
Novel defined N7-methylguanosine modification-related lncRNAs for predicting the prognosis of laryngeal squamous cell carcinoma
ZHAOXU YAO, HAIBIN MA, Lin Liu, et al.
Biocell (2023) Vol. 47, Iss. 9, pp. 1965-1975
Open Access
Development and validation of TCM prediction model of diabetic peripheral neuropathy among type 2 diabetes mellitus population in Tianjin, China
Zhikui Tian, Yadong Fan, Xuan Sun, et al.
Research Square (Research Square) (2022)
Open Access
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