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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:

Radiomic Machine Learning Classifiers in Spine Bone Tumors: A Multi-Software, Multi-Scanner Study
Vito Chianca, Renato Cuocolo, Salvatore Gitto, et al.
European Journal of Radiology (2021) Vol. 137, pp. 109586-109586
Open Access | Times Cited: 50

Showing 1-25 of 50 citing articles:

Sarcopenia: imaging assessment and clinical application
Vito Chianca, Domenico Albano, Carmelo Messina, et al.
Abdominal Radiology (2021) Vol. 47, Iss. 9, pp. 3205-3216
Open Access | Times Cited: 129
AI applications in musculoskeletal imaging: a narrative review
Salvatore Gitto, Francesca Serpi, Domenico Albano, et al.
European Radiology Experimental (2024) Vol. 8, Iss. 1
Open Access | Times Cited: 21
Artificial intelligence for radiographic imaging detection of caries lesions: a systematic review
Domenico Albano, V. Galiano, Mariachiara Basile, et al.
BMC Oral Health (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 20
Diffusion-weighted MRI radiomics of spine bone tumors: feature stability and machine learning-based classification performance
Salvatore Gitto, Marco Bologna, Valentina Corino, et al.
La radiologia medica (2022) Vol. 127, Iss. 5, pp. 518-525
Open Access | Times Cited: 45
Application of artificial intelligence technology in the field of orthopedics: a narrative review
Pengran Liu, Jiayao Zhang, Songxiang Liu, et al.
Artificial Intelligence Review (2024) Vol. 57, Iss. 1
Open Access | Times Cited: 14
CT radiomics-based machine learning classification of atypical cartilaginous tumours and appendicular chondrosarcomas
Salvatore Gitto, Renato Cuocolo, Alessio Annovazzi, et al.
EBioMedicine (2021) Vol. 68, pp. 103407-103407
Open Access | Times Cited: 48
CT and MRI radiomics of bone and soft-tissue sarcomas: a systematic review of reproducibility and validation strategies
Salvatore Gitto, Renato Cuocolo, Domenico Albano, et al.
Insights into Imaging (2021) Vol. 12, Iss. 1
Open Access | Times Cited: 47
Application of Machine Learning for Differentiating Bone Malignancy on Imaging: A Systematic Review
Wilson Ong, Lei Zhu, Yi Tan, et al.
Cancers (2023) Vol. 15, Iss. 6, pp. 1837-1837
Open Access | Times Cited: 17
CT and MRI radiomics of bone and soft-tissue sarcomas: an updated systematic review of reproducibility and validation strategies
Salvatore Gitto, Renato Cuocolo, Merel Huisman, et al.
Insights into Imaging (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 8
An update in musculoskeletal tumors: from quantitative imaging to radiomics
Vito Chianca, Domenico Albano, Carmelo Messina, et al.
La radiologia medica (2021) Vol. 126, Iss. 8, pp. 1095-1105
Closed Access | Times Cited: 39
Benign and malignant diagnosis of spinal tumors based on deep learning and weighted fusion framework on MRI
Hong Liu, Menglei Jiao, Yuan Yuan, et al.
Insights into Imaging (2022) Vol. 13, Iss. 1
Open Access | Times Cited: 27
Application of Artificial Intelligence Methods for Imaging of Spinal Metastasis
Wilson Ong, Lei Zhu, Wenqiao Zhang, et al.
Cancers (2022) Vol. 14, Iss. 16, pp. 4025-4025
Open Access | Times Cited: 22
Radiomics of Musculoskeletal Sarcomas: A Narrative Review
Cristiana Fanciullo, Salvatore Gitto, Eleonora Carlicchi, et al.
Journal of Imaging (2022) Vol. 8, Iss. 2, pp. 45-45
Open Access | Times Cited: 21
Ten Years After SINS: Role of Surgery and Radiotherapy in the Management of Patients With Vertebral Metastases
Nicolas Serratrice, Joe Faddoul, Bilal Tarabay, et al.
Frontiers in Oncology (2022) Vol. 12
Open Access | Times Cited: 20
Evaluation of Deep Learning-Based Automated Detection of Primary Spine Tumors on MRI Using the Turing Test
Hanqiang Ouyang, Fanyu Meng, Jianfang Liu, et al.
Frontiers in Oncology (2022) Vol. 12
Open Access | Times Cited: 19
Spinal magnetic resonance image segmentation based on U-net
Zhi Wang, Pingsen Xiao, Hao Tan
Journal of Radiation Research and Applied Sciences (2023) Vol. 16, Iss. 3, pp. 100627-100627
Open Access | Times Cited: 12
MRI radiomics-based machine learning for classification of deep-seated lipoma and atypical lipomatous tumor of the extremities
Salvatore Gitto, Matteo Interlenghi, Renato Cuocolo, et al.
La radiologia medica (2023) Vol. 128, Iss. 8, pp. 989-998
Open Access | Times Cited: 11
Diagnostic Performance of Artificial Intelligence in Detection of Primary Malignant Bone Tumors: a Meta-Analysis
Mohammad Amin Salehi, Soheil Mohammadi, Hamid Harandi, et al.
Deleted Journal (2024) Vol. 37, Iss. 2, pp. 766-777
Open Access | Times Cited: 4
The Use of Artificial Intelligence in Diagnostic Medical Imaging: Systematic Literature Review
Lamija Hafizovic, Aldijana Čaušević, Amar Deumić, et al.
2021 IEEE 21st International Conference on Bioinformatics and Bioengineering (BIBE) (2021), pp. 1-6
Closed Access | Times Cited: 26
3D vs. 2D MRI radiomics in skeletal Ewing sarcoma: Feature reproducibility and preliminary machine learning analysis on neoadjuvant chemotherapy response prediction
Salvatore Gitto, Valentina Corino, Alessio Annovazzi, et al.
Frontiers in Oncology (2022) Vol. 12
Open Access | Times Cited: 18
Predicting osteoporotic fractures post-vertebroplasty: a machine learning approach with a web-based calculator
Sanying Cai, Wencai Liu, Xintian Cai, et al.
BMC Surgery (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 3
Convolutional neural network-based magnetic resonance image differentiation of filum terminale ependymomas from schwannomas
Zhaowen Gu, Wenli Dai, Jiarui Chen, et al.
BMC Cancer (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 3
A Novel Textural and Morphological-Based CAD System for Early and Accurate Diagnosis of Vertebral Tumors
Mohamed T. Azzam, Ahmed Alksas, Hossam Magdy Balaha, et al.
2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI) (2023), pp. 1-4
Closed Access | Times Cited: 7
Radiomics and stacking regression model for measuring bone mineral density using abdominal computed tomography
Hong Zhi Dai, Yutao Wang, Randi Fu, et al.
Acta Radiologica (2021) Vol. 64, Iss. 1, pp. 228-236
Closed Access | Times Cited: 17
Fully automated segmentation of lumbar bone marrow in sagittal, high-resolution T1-weighted magnetic resonance images using 2D U-NET
Eo-Jin Hwang, Sanghee Kim, Joon‐Yong Jung
Computers in Biology and Medicine (2021) Vol. 140, pp. 105105-105105
Open Access | Times Cited: 15
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