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:

Application of radiomics in precision prediction of diagnosis and treatment of gastric cancer
Getao Du, Yun Zeng, Dan Chen, et al.
Japanese Journal of Radiology (2022)
Closed Access | Times Cited: 13

Showing 13 citing articles:

Clinical applications of artificial intelligence in liver imaging
Akira Yamada, Koji Kamagata, Kenji Hirata, et al.
La radiologia medica (2023) Vol. 128, Iss. 6, pp. 655-667
Closed Access | Times Cited: 20

Current State of Artificial Intelligence in Clinical Applications for Head and Neck MR Imaging
Noriyuki Fujima, Koji Kamagata, Daiju Ueda, et al.
Magnetic Resonance in Medical Sciences (2023) Vol. 22, Iss. 4, pp. 401-414
Open Access | Times Cited: 16

LAPAROSCOPIC TOTAL OR PARTIAL GASTRECTOMY VERSUS OPEN SURGERY IN GASTRIC CANCER: COMPARISON OF ONCOLOGICAL AND FUNCTIONAL OUTCOMES
Eduardo Ferreira da Silva, Carlos Roberto dos Santos, Jaqueline Luche Neves, et al.
International Journal of Health Science (2025) Vol. 5, Iss. 1, pp. 1-11
Open Access

The relationship between contrast-enhanced computed tomography radiomics features and mitosis karyorrhexis index in neuroblastoma
Xin Chen, Haoru Wang, Yuwei Xia, et al.
Discover Oncology (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 1

Automated breast cancer diagnosis optimized with higher-order attribute-enhancing heterogeneous graph neural networks using mammogram images
Gunasekaran Kulandaivelu, Anuradha Taluja, Mridini Gawas, et al.
Biomedical Signal Processing and Control (2024) Vol. 97, pp. 106659-106659
Closed Access | Times Cited: 1

The Evolution and Clinical Impact of Deep Learning Technologies in Breast MRI
Tomoyuki Fujioka, Shohei Fujita, Daiju Ueda, et al.
Magnetic Resonance in Medical Sciences (2024)
Open Access | Times Cited: 1

Accuracy of machine learning in diagnosing microsatellite instability in gastric cancer: A systematic review and meta-analysis
Yiming Ying, Robert J. Ju, Jieyi Wang, et al.
International Journal of Medical Informatics (2024) Vol. 193, pp. 105685-105685
Open Access | Times Cited: 1

OLIGOMETASTASIS IN GASTRIC CANCER TREATMENT: IS THERE A PLACE FOR THE SURGEON?
Paulo Pimentel de Assumpção, Jéssica Manoelli Costa da Silva, Danielle Queiroz Calcagno, et al.
ABCD Arquivos Brasileiros de Cirurgia Digestiva (São Paulo) (2023) Vol. 36
Open Access | Times Cited: 3

AI Use in Mammography for Diagnosing Metachronous Contralateral Breast Cancer
Mio Adachi, Tomoyuki Fujioka, Toshiyuki Ishiba, et al.
Journal of Imaging (2024) Vol. 10, Iss. 9, pp. 211-211
Open Access

A Joint Classification Method for COVID-19 Lesions Based on Deep Learning and Radiomics
Guoxiang Ma, Kai Wang, Ting Zeng, et al.
Tomography (2024) Vol. 10, Iss. 9, pp. 1488-1500
Open Access

A prognostic nomogram based on log odds of positive lymph nodes to predict the overall survival in biliary neuroendocrine neoplasms (NENs) patients after surgery
Shitao Jiang, Fengkai Yang, L. Zhang, et al.
Journal of Endocrinological Investigation (2022) Vol. 45, Iss. 12, pp. 2341-2351
Closed Access | Times Cited: 2

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