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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:

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

Showing 11 citing articles:

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
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
GATIS score for predicting the prognosis of rectal neuroendocrine neoplasms: A Chinese multicenter study of 12-year experience
Xin-Yu Zeng, Ming Zhong, Guole Lin, et al.
World Journal of Gastroenterology (2024) Vol. 30, Iss. 28, pp. 3403-3417
Open Access | Times Cited: 6
The promise and limitations of artificial intelligence in musculoskeletal imaging
Patrick Debs, Laura M. Fayad
Frontiers in Radiology (2023) Vol. 3
Open Access | Times Cited: 15
Radiomics and artificial intelligence for soft-tissue sarcomas: Current status and perspectives
Amandine Crombé, Paolo Spinnato, Antoîne Italiano, et al.
Diagnostic and Interventional Imaging (2023) Vol. 104, Iss. 12, pp. 567-583
Closed Access | Times Cited: 14
X-rays radiomics-based machine learning classification of atypical cartilaginous tumour and high-grade chondrosarcoma of long bones
Salvatore Gitto, Alessio Annovazzi, Kitija Nulle, et al.
EBioMedicine (2024) Vol. 101, pp. 105018-105018
Open Access | Times Cited: 4
Diagnostic utility of MRI-based convolutional neural networks in soft tissue sarcomas: a mini-review
Hendrik Voigtländer, Hans‐Ulrich Kauczor, Sam Sedaghat
Frontiers in Oncology (2025) Vol. 15
Open Access
Recent topics in musculoskeletal imaging focused on clinical applications of AI: How should radiologists approach and use AI?
Taiki Nozaki, Masahiro Hashimoto, Daiju Ueda, et al.
La radiologia medica (2025)
Closed 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
Effects of Interobserver Segmentation Variability and Intensity Discretization on MRI-Based Radiomic Feature Reproducibility of Lipoma and Atypical Lipomatous Tumor
Salvatore Gitto, Renato Cuocolo, Vincenzo Giannetta, et al.
Deleted Journal (2024) Vol. 37, Iss. 3, pp. 1187-1200
Open Access | Times Cited: 2
Giant lipomas: A 130-year literature review, case series, and introduction of an intuitive management algorithm
Marco Marcasciano, Antonio Greto Ciriaco, Maria Antonia Fiorillo, et al.
Il Giornale di Chirurgia - Journal of the Italian Association of Hospital Surgeons (2024) Vol. 44, Iss. 6, pp. e57-e57
Open Access | Times Cited: 1
Evaluation of the GATIS score for predicting prognosis in rectal neuroendocrine neoplasms
Yuning Feng, Lihong Liu, Hanwen Zhang
World Journal of Gastroenterology (2024) Vol. 30, Iss. 42, pp. 4587-4590
Closed Access
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