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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:

Deep versus Handcrafted Tensor Radiomics Features: Prediction of Survival in Head and Neck Cancer Using Machine Learning and Fusion Techniques
Mohammad R. Salmanpour, Seyed Masoud Rezaeijo, Mahdi Hosseinzadeh, et al.
Diagnostics (2023) Vol. 13, Iss. 10, pp. 1696-1696
Open Access | Times Cited: 41

Showing 1-25 of 41 citing articles:

Fusion-based tensor radiomics using reproducible features: Application to survival prediction in head and neck cancer
Mohammad R. Salmanpour, Mahdi Hosseinzadeh, Seyed Masoud Rezaeijo, et al.
Computer Methods and Programs in Biomedicine (2023) Vol. 240, pp. 107714-107714
Closed Access | Times Cited: 45
FPN-SE-ResNet Model for Accurate Diagnosis of Kidney Tumors Using CT Images
Abubaker Abdelrahman, Serestina Viriri
Applied Sciences (2023) Vol. 13, Iss. 17, pp. 9802-9802
Open Access | Times Cited: 13
Automated machine learning for the identification of asymptomatic COVID-19 carriers based on chest CT images
Minyue Yin, Chao Xu, Jinzhou Zhu, et al.
BMC Medical Imaging (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 4
A multi-instance tumor subtype classification method for small PET datasets using RA-DL attention module guided deep feature extraction with radiomics features
Zhaoshuo Diao, Huiyan Jiang
Computers in Biology and Medicine (2024) Vol. 174, pp. 108461-108461
Closed Access | Times Cited: 4
A nomogram based on the quantitative and qualitative features of CT imaging for the prediction of the invasiveness of ground glass nodules in lung adenocarcinoma
Yantao Yang, Jing Xu, Wei Wang, et al.
BMC Cancer (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 4
Enhanced Lung Cancer Survival Prediction Using Semi-Supervised Pseudo-Labeling and Learning from Diverse PET/CT Datasets
Mohammad R. Salmanpour, Arman Gorji, Amin Mousavi, et al.
Cancers (2025) Vol. 17, Iss. 2, pp. 285-285
Open Access
Enhancing skin toxicity predictions in breast cancer radiotherapy through integrated CT radiomics, dosiomics, and machine learning models
Weilong Ren, Xiaoming Liu
Journal of Radiation Research and Applied Sciences (2025) Vol. 18, Iss. 2, pp. 101360-101360
Closed Access
Worldwide Research Trends on Artificial Intelligence in Head and Neck Cancer: A Bibliometric Analysis
Yuri Silvestre-Barbosa, Vitória Tavares de Castro, Larissa Di Carvalho Melo, et al.
Oral Surgery Oral Medicine Oral Pathology and Oral Radiology (2025)
Closed Access
Multi-modal data integration of dosiomics, radiomics, deep features, and clinical data for radiation-induced lung damage prediction in breast cancer patients
Li Yan, Jun Jiang, X. Li, et al.
Journal of Radiation Research and Applied Sciences (2025) Vol. 18, Iss. 2, pp. 101389-101389
Closed Access
Landscape of 2D Deep Learning Segmentation Networks Applied to CT Scan from Lung Cancer Patients: A Systematic Review
Somayeh Sadat Mehrnia, Zhino Safahi, Amin Mousavi, et al.
Deleted Journal (2025)
Closed Access
Prediction of Parkinson’s disease pathogenic variants using hybrid Machine learning systems and radiomic features
Ghasem Hajianfar, Samira Kalayinia, Mahdi Hosseinzadeh, et al.
Physica Medica (2023) Vol. 113, pp. 102647-102647
Open Access | Times Cited: 9
Multi-omics and Multi-VOIs to predict esophageal fistula in esophageal cancer patients treated with radiotherapy
Wei Guo, Bing Li, Wencai Xu, et al.
Journal of Cancer Research and Clinical Oncology (2024) Vol. 150, Iss. 2
Open Access | Times Cited: 3
Comparison of Ruptured Intracranial Aneurysms Identification Using Different Machine Learning Algorithms and Radiomics
Beisheng Yang, Wenjie Li, Xiaojia Wu, et al.
Diagnostics (2023) Vol. 13, Iss. 16, pp. 2627-2627
Open Access | Times Cited: 8
Deep learning, radiomics and radiogenomics applications in the digital breast tomosynthesis: a systematic review
Sadam Hussain, Yareth Lafarga-Osuna, Mansoor Ali, et al.
BMC Bioinformatics (2023) Vol. 24, Iss. 1
Open Access | Times Cited: 8
Multi-parametric radiomics of conventional T1 weighted and susceptibility-weighted imaging for differential diagnosis of idiopathic Parkinson’s disease and multiple system atrophy
Shuting Bu, Huize Pang, Xiaolu Li, et al.
BMC Medical Imaging (2023) Vol. 23, Iss. 1
Open Access | Times Cited: 8
Multi-parametric assessment of cardiac magnetic resonance images to distinguish myocardial infarctions: A tensor-based radiomics feature
Dehua Wang, Hayder Jasim Taher, Murtadha Al-Fatlawi, et al.
Journal of X-Ray Science and Technology (2024) Vol. 32, Iss. 3, pp. 735-749
Closed Access | Times Cited: 2
Ultrasound-based deep learning radiomics nomogram for differentiating mass mastitis from invasive breast cancer
Linyong Wu, Songhua Li, Chaojun Wu, et al.
BMC Medical Imaging (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 2
Oncologic Applications of Artificial Intelligence and Deep Learning Methods in CT Spine Imaging—A Systematic Review
Wilson Ong, Aric Lee, Wei Chuan Tan, et al.
Cancers (2024) Vol. 16, Iss. 17, pp. 2988-2988
Open Access | Times Cited: 2
The value of radiomics-based CT combined with machine learning in the diagnosis of occult vertebral fractures
Wu-gen Li, Rou Zeng, Yongfeng Lu, et al.
BMC Musculoskeletal Disorders (2023) Vol. 24, Iss. 1
Open Access | Times Cited: 6
Radiation pneumonia predictive model for radiotherapy in esophageal carcinoma patients
Liming Sheng, Lei Zhuang, Jing Yang, et al.
BMC Cancer (2023) Vol. 23, Iss. 1
Open Access | Times Cited: 6
Development and external validation of the multichannel deep learning model based on unenhanced CT for differentiating fat-poor angiomyolipoma from renal cell carcinoma: a two-center retrospective study
Haohua Yao, Tian Li, Xi Liu, et al.
Journal of Cancer Research and Clinical Oncology (2023) Vol. 149, Iss. 17, pp. 15827-15838
Open Access | Times Cited: 5
Computer-aided diagnosis for screening of lower extremity lymphedema in pelvic computed tomography images using deep learning
Yukihiro Nomura, Masato Hoshiyama, Shinsuke Akita, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 5
Comprehensive evaluation of similarity between synthetic and real CT images for nasopharyngeal carcinoma
Siqi Yuan, Xinyuan Chen, Yuxiang Liu, et al.
Radiation Oncology (2023) Vol. 18, Iss. 1
Open Access | Times Cited: 5
Machine Learning Classification of Roasted Arabic Coffee: Integrating Color, Chemical Compositions, and Antioxidants
Eman Alamri, Ghada Altarawneh, Hala M. Bayomy, et al.
Sustainability (2023) Vol. 15, Iss. 15, pp. 11561-11561
Open Access | Times Cited: 4
A computer-aided determining method for the myometrial infiltration depth of early endometrial cancer on MRI images
Liu Xiong, Chunxia Chen, Yongping Lin, et al.
BioMedical Engineering OnLine (2023) Vol. 22, Iss. 1
Open Access | Times Cited: 4
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