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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 12 citing articles:

Identification of Lesion Bioactivity in Hepatic Cystic Echinococcosis Using a Transformer-Based Fusion Model
Zhu Wang, Fuyuan Li, Junjie Cai, et al.
Journal of Infection (2025), pp. 106455-106455
Open Access | Times Cited: 1
Integration of Deep Learning and Sub-regional Radiomics Improves the Prediction of Pathological Complete Response to Neoadjuvant Chemoradiotherapy in Locally Advanced Rectal Cancer Patients
Xuan Wu, Jinyong Wang, Chao Chen, et al.
Academic Radiology (2025)
Open Access
Evaluation of EGFR-TKIs and ICIs treatment stratification in non-small cell lung cancer using an encrypted multidimensional radiomics approach
Xingping Zhang, Xingting Qiu, Yue Zhang, et al.
Cancer Imaging (2025) Vol. 25, Iss. 1
Open Access
Development and validation of radiomics and deep transfer learning models to assess cognitive impairment in patients with cerebral small vessel disease
Wei Zheng, Qi Wu, Ronghua Mu, et al.
Neuroscience (2025) Vol. 572, pp. 145-154
Closed Access
MRI transformer deep learning and radiomics for predicting IDH wild type TERT promoter mutant gliomas
Wenju Niu, Junyu Yan, Min Hao, et al.
npj Precision Oncology (2025) Vol. 9, Iss. 1
Open Access
Ultrasound-Based Deep Learning Radiomics Models for Predicting Primary and Secondary Salivary Gland Malignancies: A Multicenter Retrospective Study
Zhenhai Xia, Xiao‐Chen Huang, Xinyu Xu, et al.
Bioengineering (2025) Vol. 12, Iss. 4, pp. 391-391
Open Access
Interpretable Machine Learning Radiomics Model Predicts 5-year Recurrence-Free Survival in Non-metastatic Clear Cell Renal Cell Carcinoma: A Multicenter and Retrospective Cohort Study
Jia Zhang, Wenxiang Huang, Li Yang, et al.
Academic Radiology (2025)
Closed Access
Advances in the Application of Radiomics and Deep Learning for the Diagnosis and Treatment of Head and Neck Squamous Cell Carcinoma
凯 谢
Advances in Clinical Medicine (2025) Vol. 15, Iss. 04, pp. 1680-1687
Closed Access
Deep Learning Model of Primary Tumor and Metastatic Cervical Lymph Nodes From CT for Outcome Predictions in Oropharyngeal Cancer
Bolin Song, Amaury Leroy, Kailin Yang, et al.
JAMA Network Open (2025) Vol. 8, Iss. 5, pp. e258094-e258094
Open Access
Multiparameter MRI-based model integrating radiomics and deep learning for preoperative staging of laryngeal squamous cell carcinoma
Kai Xie, Huan Jiang, Xinwei Chen, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Comparison of clinical, radiomics, deep learning, and fusion models for predicting early recurrence in locally advanced rectal cancer based on multiparametric MRI: a multicenter study
Zhiheng Li, Yangyang Qin, Xiaoqing Liao, et al.
European Journal of Radiology (2025), pp. 112173-112173
Open Access
MRI-based deep learning and radiomics for occult cervical lymph node metastasis (OCLNM) prediction
Sesuraj Balasamy, Jayalakshmi Somasundaram, Ashok K. Sundramoorthy
Oral Oncology (2024) Vol. 159, pp. 107019-107019
Closed Access | Times Cited: 1
MRI-based deep learning and radiomics for predicting the efficacy of PD-1 inhibitor combined with induction chemotherapy in advanced nasopharyngeal carcinoma: A prospective cohort study
Yiru Wang, Fuli Chen, Zhechen Ouyang, et al.
Translational Oncology (2024) Vol. 52, pp. 102245-102245
Closed Access
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