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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 23 citing articles:

Machine-Learning-Based Prediction of Treatment Outcomes Using MR Imaging-Derived Quantitative Tumor Information in Patients with Sinonasal Squamous Cell Carcinomas: A Preliminary Study
Noriyuki Fujima, Yukie Shimizu, Daisuke Yoshida, et al.
Cancers (2019) Vol. 11, Iss. 6, pp. 800-800
Open Access | Times Cited: 44
Iodine Map Radiomics in Breast Cancer: Prediction of Metastatic Status
Lukas Lenga, Simon Bernatz, Simon S. Martin, et al.
Cancers (2021) Vol. 13, Iss. 10, pp. 2431-2431
Open Access | Times Cited: 28
Combining Diagnostic Imaging and Pathology for Improving Diagnosis and Prognosis of Cancer
Orazio Schillaci, Manuel Scimeca, Nicola Toschi, et al.
Contrast Media & Molecular Imaging (2019) Vol. 2019, pp. 1-10
Open Access | Times Cited: 33
[18F]FDG-PET/CT Radiomics for Prediction of Bone Marrow Involvement in Mantle Cell Lymphoma: A Retrospective Study in 97 Patients
Marius E. Mayerhoefer, Christopher C. Riedl, Anita Kumar, et al.
Cancers (2020) Vol. 12, Iss. 5, pp. 1138-1138
Open Access | Times Cited: 31
Potential Molecular Biomarkers of Vestibular Schwannoma Growth: Progress and Prospects
Yu Zhang, Jianfei Long, Junwei Ren, et al.
Frontiers in Oncology (2021) Vol. 11
Open Access | Times Cited: 26
Diffusion Weighted Imaging in Gliomas: A Histogram-Based Approach for Tumor Characterization
Georg Gihr, Diana Horvath-Rizea, Patricia Kohlhof‐Meinecke, et al.
Cancers (2022) Vol. 14, Iss. 14, pp. 3393-3393
Open Access | Times Cited: 17
Histogram Analysis of Diffusion Weighted Imaging in Low-Grade Gliomas: in vivo Characterization of Tumor Architecture and Corresponding Neuropathology
Georg Gihr, Diana Horvath-Rizea, Elena Hekeler, et al.
Frontiers in Oncology (2020) Vol. 10
Open Access | Times Cited: 27
Association of apparent diffusion coefficient with Ki-67 proliferation index, progesterone-receptor status and various histopathological parameters, and its utility in predicting the high grade in meningiomas
Mustafa Bozdağ, Ali Er, Sümeyye Ekmekçi
Acta Radiologica (2020) Vol. 62, Iss. 3, pp. 401-413
Closed Access | Times Cited: 22
An MRI‐Based Radiomics Nomogram to Assess Recurrence Risk in Sinonasal Malignant Tumors
Tongyu Wang, Jingwei Hao, Aixin Gao, et al.
Journal of Magnetic Resonance Imaging (2022) Vol. 58, Iss. 2, pp. 520-531
Closed Access | Times Cited: 10
Histogram analysis of synthetic magnetic resonance imaging: Correlations with histopathological factors in head and neck squamous cell carcinoma
Fan Yang, Yujie Li, Huizi Lei, et al.
European Journal of Radiology (2023) Vol. 160, pp. 110715-110715
Closed Access | Times Cited: 6
Diffusion weighted imaging in high-grade gliomas: A histogram-based analysis of apparent diffusion coefficient profile
Georg Gihr, Diana Horvath-Rizea, Elena Hekeler, et al.
PLoS ONE (2021) Vol. 16, Iss. 4, pp. e0249878-e0249878
Open Access | Times Cited: 13
Machine learning based on magnetic resonance imaging and clinical parameters helps predict mesenchymal-epithelial transition factor expression in oral tongue squamous cell carcinoma: a pilot study
Gongxin Yang, Zebin Xiao, Jiliang Ren, et al.
Oral Surgery Oral Medicine Oral Pathology and Oral Radiology (2023) Vol. 137, Iss. 4, pp. 421-430
Closed Access | Times Cited: 4
The value of multiple diffusion metrics based on whole-lesion histogram analysis in evaluating the subtypes and proliferation status of non-small cell lung cancer
Yao Chen, Hong Yang, Yuan Qin, et al.
Frontiers in Oncology (2024) Vol. 14
Open Access | Times Cited: 1
Whole-Tumor Histogram and Texture Imaging Features on Magnetic Resonance Imaging Combined With Epstein-Barr Virus Status to Predict Disease Progression in Patients With Nasopharyngeal Carcinoma
Qiao Li, Tingting Wang, Yan Huang, et al.
Frontiers in Oncology (2021) Vol. 11
Open Access | Times Cited: 8
MRI Texture Features are Associated with Vestibular Schwannoma Histology
Nicholas A. George‐Jones, Rati Chkheidze, Samantha A. Moore, et al.
The Laryngoscope (2020) Vol. 131, Iss. 6
Closed Access | Times Cited: 8
The Prediction of Biological Features Using Magnetic Resonance Imaging in Head and Neck Squamous Cell Carcinoma: A Systematic Review and Meta-Analysis
Hedda J. van der Hulst, Robin W. Jansen, Conchita Vens, et al.
Cancers (2023) Vol. 15, Iss. 20, pp. 5077-5077
Open Access | Times Cited: 2
Histogram analysis in predicting the grade and histological subtype of meningiomas based on diffusion kurtosis imaging
Xiaodan Chen, Lin Lin, Jie Wu, et al.
Acta Radiologica (2020) Vol. 61, Iss. 9, pp. 1228-1239
Closed Access | Times Cited: 5
Anti-angiogenesis effect and mechanism study of Huangzhi Neiyi capsule in a rat endometriosis model
Liu Henglian, Xianli Sun, Yan Zhao, et al.
Journal of International Medical Research (2020) Vol. 48, Iss. 1
Open Access | Times Cited: 4
Histogram parameters derived from T1 and T2 weighted images correlate with tumor infiltrating lymphocytes and tumor-stroma ratio in head and neck squamous cell cancer
Hans‐Jonas Meyer, Anne Kathrin Höhn, Alexey Surov
Magnetic Resonance Imaging (2021) Vol. 80, pp. 127-131
Closed Access | Times Cited: 4
Radiomic features of dynamic contrast-enhanced MRI can predict Ki-67 status in head and neck squamous cell carcinoma
Lu Yang, Longwu Yu, Guangzi Shi, et al.
Magnetic Resonance Imaging (2024) Vol. 116, pp. 110276-110276
Closed Access
Associations between magnetic resonance imaging and EMG findings in myopathies
Hans‐Jonas Meyer, Ilka Schneider, Alexander Emmer, et al.
Acta Neurologica Scandinavica (2020) Vol. 142, Iss. 5, pp. 428-433
Open Access | Times Cited: 3
Grading of meningioma tumors based on analyzing tumor volumetric histograms obtained from conventional MRI and apparent diffusion coefficient images
Meysam Haghighi Borujeini, Masoume Farsizaban, Shiva Rahbar Yazdi, et al.
The Egyptian Journal of Radiology and Nuclear Medicine (2021) Vol. 52, Iss. 1
Open Access | Times Cited: 2
Development of a Nomogram Based on Clinicopathological and Biological Features to Predict Neck Lymph Node Metastasis in Hypopharyngeal Squamous Cell Carcinoma
Chunhui Hu, Yuqian Wu, Jiaojiao Tong, et al.
Journal of Cancer Therapy (2021) Vol. 12, Iss. 12, pp. 708-724
Open Access
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