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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:

Prediction of Ki-67 expression in bladder cancer based on CT radiomics nomogram
Shengxing Feng, Dongsheng Zhou, Yueming Li, et al.
Frontiers in Oncology (2024) Vol. 14
Open Access | Times Cited: 5
A machine learning radiomics based on enhanced computed tomography to predict neoadjuvant immunotherapy for resectable esophageal squamous cell carcinoma
Jialing Wang, Liansha Tang, Xia Zhong, et al.
Frontiers in Immunology (2024) Vol. 15
Open Access | Times Cited: 4
Multi-Centered Pre-Treatment CT-Based Radiomics Features to Predict Locoregional Recurrence of Locally Advanced Esophageal Cancer After Definitive Chemoradiotherapy
Nuo Yu, Xiaolin Ge, Lijing Zuo, et al.
Cancers (2025) Vol. 17, Iss. 1, pp. 126-126
Open Access
Myocardial MRI Cine Radiomics: A Novel Approach to Risk‐Stratification for Major Adverse Cardiovascular Events in Patients With ST‐Elevation Myocardial Infarction
Ming Li, Ruo‐Yang Shi, Jinyu Zheng, et al.
Journal of Magnetic Resonance Imaging (2025)
Closed Access
Radiomics and prognostic nutritional index for predicting postoperative survival in esophageal carcinoma
Weiwei Luo, Jinghui Dong, Jiaying Deng, et al.
European journal of medical research (2025) Vol. 30, Iss. 1
Open Access
CCL26 as a prognostic biomarker in hepatocellular carcinoma: integrating bioinformatics analysis, clinical validation, and radiomics score
Junjun Yan, Qiangming Liao, Yong Xie, et al.
Discover Oncology (2025) Vol. 16, Iss. 1
Open Access
From Images to Genes: Radiogenomics Based on Artificial Intelligence to Achieve Non‐Invasive Precision Medicine in Cancer Patients
Yusheng Guo, Tianxiang Li, Bingxin Gong, et al.
Advanced Science (2024) Vol. 12, Iss. 2
Open Access | Times Cited: 3
Integrating 18F-FDG PET/CT radiomics and body composition for enhanced prognostic assessment in patients with esophageal cancer
Yeye Zhou, Jin Zhou, Xiaowei Cai, et al.
BMC Cancer (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 2
Preoperative Prediction of Perineural Invasion in Oesophageal Squamous Cell Carcinoma Based on CT Radiomics Nomogram: A Multicenter Study
Hui Zhou, Jian Zhou, Cai Qin, et al.
Academic Radiology (2023) Vol. 31, Iss. 4, pp. 1355-1366
Closed Access | Times Cited: 6
Preoperative CT radiomics of esophageal squamous cell carcinoma and lymph node to predict nodal disease with a high diagnostic capability
Yuping Wu, Lan Wu, Jing Ou, et al.
European Journal of Radiology (2023) Vol. 170, pp. 111197-111197
Open Access | Times Cited: 6
A prognostic nomogram for T3N0M0 esophageal squamous cell carcinoma patients undergoing radical surgery based on computed tomography radiomics and inflammatory nutritional biomarkers
Hui Ma, Yangchen Liu, Hongxun Ye, et al.
Journal of Applied Clinical Medical Physics (2024) Vol. 25, Iss. 11
Open Access | Times Cited: 1
Towards non-invasive biomarkers in colorectal cancer management: A study on integrating radiomics and deep learning-based image processing for tumor-stroma interaction
Prince Ebenezer Adjei, Obed Otoo, Jinlin Yang, et al.
(2024), pp. 58-64
Closed Access | Times Cited: 1
Graphical modeling of causal factors associated with the postoperative survival of esophageal cancer subjects
Shangsi Ren, Cameron Beeche, Kartik Iyer, et al.
Medical Physics (2023) Vol. 51, Iss. 3, pp. 1997-2006
Closed Access | Times Cited: 2
Revolutionizing healthcare by use of artificial intelligence in esophageal carcinoma – a narrative review
Anmol Mohan, Zoha Asghar, Rabia Abid, et al.
Annals of Medicine and Surgery (2023) Vol. 85, Iss. 10, pp. 4920-4927
Open Access | Times Cited: 2
Integrating 18 F-FDG PET/CT Radiomics and Body Composition for Enhanced Prognostic Assessment in Patients with Esophageal Cancer
Yeye Zhou, Jin Zhou, Xiaowei Cai, et al.
Research Square (Research Square) (2024)
Open Access
Computed tomography-based radiomic model for the prediction of neoadjuvant immunochemotherapy response in patients with advanced gastric cancer
Jun Zhang, Qi Wang, Tianhui Guo, et al.
World Journal of Gastrointestinal Oncology (2024) Vol. 16, Iss. 10, pp. 4115-4128
Closed Access
Multiparametric radiomics and prognostic nutritional index for predicting postoperative survival in esophageal carcinoma
Weiwei Luo, Jinghui Dong, Jiaying Deng, et al.
Research Square (Research Square) (2024)
Open Access
Diffusion-Weighted Imaging–Based Radiomics Features and Machine Learning Method to Predict the 90-Day Prognosis in Patients With Acute Ischemic Stroke
Guirui Li, Yueling Zhang, Jian Tang, et al.
The Neurologist (2024)
Open Access
The application of artificial intelligence in upper gastrointestinal cancers
Xiaoying Huang, Minghao Qin, Mengjie Fang, et al.
Journal of the National Cancer Center (2024) Vol. 5, Iss. 2, pp. 113-131
Open Access
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