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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 13 citing articles:

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
Enhancing the role of MRI in rectal cancer: advances from staging to prognosis prediction
Xiaoling Gong, Zheng Ye, Yu Shen, et al.
European Radiology (2025)
Open Access
The value of MRI radiomics in distinguishing different types of spinal infections
Chao Qin, Liping Dai, Y Philip Zhang, et al.
Computer Methods and Programs in Biomedicine (2025) Vol. 264, pp. 108719-108719
Closed Access
Performance and Dimensionality of Pretreatment MRI Radiomics in Rectal Carcinoma Chemoradiotherapy Prediction
Mladen Marinković, S Stojanović, Aleksandra Stanojević, et al.
Journal of Clinical Medicine (2024) Vol. 13, Iss. 2, pp. 421-421
Open Access | Times Cited: 3
Predicting disease recurrence in breast cancer patients using machine learning models with clinical and radiomic characteristics: a retrospective study
Saadia Azeroual, Fatima-Ezzahraa Ben-Bouazza, Amine Naqi, et al.
Journal of the Egyptian National Cancer Institute (2024) Vol. 36, Iss. 1
Open Access | Times Cited: 3
Multi-task reconstruction network for synthetic diffusion kurtosis imaging: Predicting neoadjuvant chemoradiotherapy response in locally advanced rectal cancer
Qiong Ma, Zonglin Liu, Jiadong Zhang, et al.
European Journal of Radiology (2024) Vol. 174, pp. 111402-111402
Closed Access | Times Cited: 2
Development and validation of a multi-modal ultrasomics model to predict response to neoadjuvant chemoradiotherapy in locally advanced rectal cancer
Qiong Qin, Xiang-Yu Gan, Peng Lin, et al.
BMC Medical Imaging (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 2
Pretreatment MRI–Based Radiomics for Prediction of Rectal Cancer Outcome: A Discovery and Validation Study
Hongyan Huang, Lujun Han, Jianbo Guo, et al.
Academic Radiology (2023) Vol. 31, Iss. 5, pp. 1878-1888
Closed Access | Times Cited: 4
CLIP-based multimodal endorectal ultrasound enhances prediction of neoadjuvant chemoradiotherapy response in locally advanced rectal cancer
H. Zhang, Hang Yi, Si Qin, et al.
PLoS ONE (2024) Vol. 19, Iss. 12, pp. e0315339-e0315339
Open Access | Times Cited: 1
Development of a deep learning model for early gastric cancer diagnosis using preoperative computed tomography images
Zhihong Gao, Zhuo Yu, Xiang Zhang, et al.
Frontiers in Oncology (2023) Vol. 13
Open Access | Times Cited: 2
Prediction of Preoperative Synchronous Distant Metastasis of Rectal Cancer Based on MRI Radiomics Model
Hao Jiang, Wei Guo, Xue Lin, et al.
Research Square (Research Square) (2024)
Open Access
Enhancing biomedical imaging: the role of nanoparticle-based contrast agents
Mohammad Habeeb, Hariharan Thirumalai Vengateswaran, Arpan Kumar Tripathi, et al.
Biomedical Microdevices (2024) Vol. 26, Iss. 4
Closed Access
Performance and Dimensionality of Pretreatment MRI Radiomics in Rectal Carcinoma Chemoradiotherapy Prediction
Mladen Marinković, S Stojanović, Aleksandra Stanojević, et al.
(2023)
Open Access | Times Cited: 1
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