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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:

Predicting the WHO/ISUP Grade of Clear Cell Renal Cell Carcinoma Through CT-Based Tumoral and Peritumoral Radiomics
Yanqing Ma, Zheng Guan, Hong Liang, et al.
Frontiers in Oncology (2022) Vol. 12
Open Access | Times Cited: 12

Showing 12 citing articles:

Ultrasound-Based Radiomics for Predicting the WHO/ISUP Grading of Clear-Cell Renal Cell Carcinoma
Yue-Fan Chen, Fen Fu, Jia-Jing Zhuang, et al.
Ultrasound in Medicine & Biology (2024) Vol. 50, Iss. 11, pp. 1619-1627
Closed Access | Times Cited: 3
PET-CT in Clinical Adult Oncology—IV. Gynecologic and Genitourinary Malignancies
Ahmed Ebada Salem, G Fine, Matthew F. Covington, et al.
Cancers (2022) Vol. 14, Iss. 12, pp. 3000-3000
Open Access | Times Cited: 14
Machine Learning-Enabled Fuhrman Grade in Clear-cell Renal Carcinoma Prediction Using Two-dimensional Ultrasound Images
Youchang Yang, Ziyi Yuan, Qingguo Ren, et al.
Ultrasound in Medicine & Biology (2024)
Closed Access | Times Cited: 1
18F-FDG PET Derived Tumoral and Peritumoral Radiomic Parameters Can Predict Pathological Subtype and Survival in Esophageal Carcinoma
Kadir Alper Küçüker, Ayşe Esra Koku Aksu, Ahmet Alacacıoğlu, et al.
Clinical Radiology (2024) Vol. 80, pp. 106730-106730
Closed Access | Times Cited: 1
Preoperative Prediction of Breast Cancer Histological Grade Using Intratumoral and Peritumoral Radiomics Features from T2WI and DWI MR Sequences
Yaxin Guo, Jun Liao, Shunian Li, et al.
Breast Cancer Targets and Therapy (2024) Vol. Volume 16, pp. 981-991
Open Access | Times Cited: 1
Radiomics from Mesorectal Blood Vessels and Lymph Nodes: A Novel Prognostic Predictor for Rectal Cancer with Neoadjuvant Therapy
Siyuan Qin, Siyi Lu, Ke Liu, et al.
Diagnostics (2023) Vol. 13, Iss. 12, pp. 1987-1987
Open Access | Times Cited: 2
Multiregional radiomics nomogram for postoperative recurrence risk stratification in localized clear cell renal cell carcinoma
Xiaoxia Li, Yi Guo, Funan Wang, et al.
Research Square (Research Square) (2024)
Open Access
Research Progress on Renal Cell Carcinoma and Radiomics
梦家 王
Advances in Clinical Medicine (2024) Vol. 14, Iss. 04, pp. 1706-1712
Closed Access
Multicenter evaluation of CT deep radiomics model in predicting Leibovich score risk groups for non-metastatic clear cell renal cell carcinoma
Wuchao Li, Tongyin Yang, Pinhao Li, et al.
Displays (2024), pp. 102867-102867
Closed Access
Machine learning-based multiparametric MRI radiomics nomogram for predicting WHO/ISUP nuclear grading of clear cell renal cell carcinoma
Yunze Yang, Ziwei Zhang, Huabin Hu, et al.
Frontiers in Oncology (2024) Vol. 14
Open Access
Prediction study of surrounding tissue invasion in clear cell renal cell carcinoma based on multi-phase enhanced CT radiomics
Mengwei Wu, Hanlin Zhu, Zhijiang Han, et al.
Abdominal Radiology (2024)
Closed Access
Collateral vessels on preoperative enhanced computed tomography for predicting pathological grade of clear cell renal cell carcinoma: A retrospective study
Yuting Shi, Liangping Ni, Jinxia Pei, et al.
European Journal of Radiology (2023) Vol. 170, pp. 111240-111240
Open Access
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