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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 19 citing articles:

Deep learning and radiomic feature-based blending ensemble classifier for malignancy risk prediction in cystic renal lesions
Quan-Hao He, Jia-Jun Feng, Fajin Lv, et al.
Insights into Imaging (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 20
The potential value of cuprotosis (copper-induced cell death) in the therapy of clear cell renal cell carcinoma
Xiaochen Qi
American Journal of Cancer Research (2022) Vol. 12, Iss. 8, pp. 3947-3966
Open Access | Times Cited: 23
A computed tomography urography‐based machine learning model for predicting preoperative pathological grade of upper urinary tract urothelial carcinoma
Yanghuang Zheng, Hongjin Shi, Shi Fu, et al.
Cancer Medicine (2024) Vol. 13, Iss. 1
Open Access | Times Cited: 4
Enhanced ISUP grade prediction in prostate cancer using multi-center radiomics data
Yuying Liu, Xueqing Han, Haohui Chen, et al.
Abdominal Radiology (2025)
Open Access
Development of a PET-CT Based Radiomics Model for Preoperative Prediction of the Novel IASLC Grading and Prognosis in Patients with Clinical Stage I Pure Solid Invasive Lung Adenocarcinoma
Junping Lan, Haibo Wang, Enhui Xin, et al.
Academic Radiology (2025)
Closed Access
Application of DCE-MRI radiomics signature analysis in differentiating molecular subtypes of luminal and non-luminal breast cancer
Ting Huang, Bing Fan, Yingying Qiu, et al.
Frontiers in Medicine (2023) Vol. 10
Open Access | Times Cited: 9
Multimodal data integration using machine learning to predict the risk of clear cell renal cancer metastasis: a retrospective multicentre study
Youchang Yang, JiaJia Wang, Qingguo Ren, et al.
Abdominal Radiology (2024) Vol. 49, Iss. 7, pp. 2311-2324
Open Access | Times Cited: 3
Sub-regional Radiomics Analysis for Predicting Metastasis Risk in Clear Cell Renal Cell Carcinoma: A Multicenter Retrospective Study
You Chang Yang, Jiao Wu, Feng Shi, et al.
Academic Radiology (2024)
Open Access | Times Cited: 3
A CT-Based Radiomics Nomogram Combined with Clinic-Radiological Characteristics for Preoperative Prediction of the Novel IASLC Grading of Invasive Pulmonary Adenocarcinoma
Zhihe Yang, Yuqin Cai, Yirong Chen, et al.
Academic Radiology (2022) Vol. 30, Iss. 9, pp. 1946-1961
Open Access | Times Cited: 15
Multiphase CT radiomics nomogram for preoperatively predicting the WHO/ISUP nuclear grade of small (< 4 cm) clear cell renal cell carcinoma
Yankun Gao, Xia Wang, Xiaoying Zhao, et al.
BMC Cancer (2023) Vol. 23, Iss. 1
Open Access | Times Cited: 8
Stratification of malignant renal neoplasms from cystic renal lesions using deep learning and radiomics features based on a stacking ensemble CT machine learning algorithm
Quan-Hao He, Hao Tan, Fangtong Liao, et al.
Frontiers in Oncology (2022) Vol. 12
Open Access | Times Cited: 8
Development and validation of a CT based radiomics nomogram for preoperative prediction of ISUP/WHO grading in renal clear cell carcinoma
Xiaohui Liu, Xiaowei Han, Xu Wang, et al.
Abdominal Radiology (2024)
Closed Access | Times Cited: 1
Clinical features combined with ultrasound-based radiomics nomogram for discrimination between benign and malignant lesions in ultrasound suspected supraclavicular lymphadenectasis
Jieli Luo, Peile Jin, Jifan Chen, et al.
Frontiers in Oncology (2023) Vol. 13
Open Access | Times Cited: 2
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
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
Radiogenomics uncovers an interplay between angiogenesis and clinical outcomes in bladder cancer
Chentao Xu, Jincheng Cao, T. Zhou
Environmental Toxicology (2023) Vol. 39, Iss. 3, pp. 1374-1387
Closed Access | Times Cited: 1
Multiphase CT radiomics nomogram for preoperatively predicting the WHO/ISUP nuclear grade of small (&lt; 4 cm) clear cell renal cell carcinoma
Yankun Gao, Xia Wang, Xiaoying Zhao, et al.
Research Square (Research Square) (2023)
Open Access
Multimodal data integration using machine learning to predict the risk of clear cell renal cancer metastasis: A retrospective multicentre study
Youchang Yang, Qingguo Ren, Rong Yu, et al.
Research Square (Research Square) (2023)
Open 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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