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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:

Observing deep radiomics for the classification of glioma grades
Kazuma Kobayashi, Mototaka Miyake, Masamichi Takahashi, et al.
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 38

Showing 1-25 of 38 citing articles:

Deep learning for neurodegenerative disorder (2016 to 2022): A systematic review
Jyotismita Chaki, Marcin Woźniak
Biomedical Signal Processing and Control (2022) Vol. 80, pp. 104223-104223
Closed Access | Times Cited: 51
Enhancing radiomics and Deep Learning systems through the standardization of medical imaging workflows
Miriam Cobo, Pablo Menéndez Fernández‐Miranda, Gorka Bastarrika, et al.
Scientific Data (2023) Vol. 10, Iss. 1
Open Access | Times Cited: 29
Application of non-negative matrix factorization in oncology: one approach for establishing precision medicine
Ryuji Hamamoto, Ken Takasawa, Hidenori Machino, et al.
Briefings in Bioinformatics (2022) Vol. 23, Iss. 4
Open Access | Times Cited: 28
Machine-Learning-Based Radiomics for Classifying Glioma Grade from Magnetic Resonance Images of the Brain
Anuj Kumar, Ashish Kumar Jha, Jai Prakash Agarwal, et al.
Journal of Personalized Medicine (2023) Vol. 13, Iss. 6, pp. 920-920
Open Access | Times Cited: 18
Advances in Glioblastoma Diagnosis: Integrating Genetics, Noninvasive Sampling, and Advanced Imaging
R. Annie Gough, Randall Treffy, Max Krucoff, et al.
Cancers (2025) Vol. 17, Iss. 1, pp. 124-124
Open Access
Reproducibility of methodological radiomics score (METRICS): an intra- and inter-rater reliability study endorsed by EuSoMII
Tugba Akinci D’Antonoli, Armando Ugo Cavallo, Burak Koçak, et al.
European Radiology (2025)
Open Access
Rapid diagnosis of lung cancer and glioma based on serum Raman spectroscopy combined with deep learning
Chen Chen, Wei Wu, Cheng Chen, et al.
Journal of Raman Spectroscopy (2021) Vol. 52, Iss. 11, pp. 1798-1809
Closed Access | Times Cited: 36
Perfect Match: Radiomics and Artificial Intelligence in Cardiac Imaging
Bettina Baeßler, Sandy Engelhardt, Amar Hekalo, et al.
Circulation Cardiovascular Imaging (2024) Vol. 17, Iss. 6
Closed Access | Times Cited: 4
Establishment of a machine learning model for predicting splenic hilar lymph node metastasis
Kenichi Ishizu, Satoshi Takahashi, Nobuji Kouno, et al.
npj Digital Medicine (2025) Vol. 8, Iss. 1
Open Access
Developing and validating a deep learning and radiomic model for glioma grading using multiplanar reconstructed magnetic resonance contrast-enhanced T1-weighted imaging: a robust, multi-institutional study
Jialin Ding, Zhao Ru-bin, Qingtao Qiu, et al.
Quantitative Imaging in Medicine and Surgery (2021) Vol. 12, Iss. 2, pp. 1517-1528
Open Access | Times Cited: 25
Application of Artificial Intelligence in COVID-19 Diagnosis and Therapeutics
Ken Asada, Masaaki Komatsu, Ryo Shimoyama, et al.
Journal of Personalized Medicine (2021) Vol. 11, Iss. 9, pp. 886-886
Open Access | Times Cited: 24
Single-Cell Analysis Using Machine Learning Techniques and Its Application to Medical Research
Ken Asada, Ken Takasawa, Hidenori Machino, et al.
Biomedicines (2021) Vol. 9, Iss. 11, pp. 1513-1513
Open Access | Times Cited: 21
MRI radiomics and potential applications to glioblastoma
Grayson W. Hooper, Daniel Thomas Ginat
Frontiers in Oncology (2023) Vol. 13
Open Access | Times Cited: 8
Challenges in Glioblastoma Radiomics and the Path to Clinical Implementation
Philip Martin, Lois Holloway, Peter Metcalfe, et al.
Cancers (2022) Vol. 14, Iss. 16, pp. 3897-3897
Open Access | Times Cited: 12
Analysis of super-enhancer using machine learning and its application to medical biology
Ryuji Hamamoto, Ken Takasawa, Norio Shinkai, et al.
Briefings in Bioinformatics (2023) Vol. 24, Iss. 3
Open Access | Times Cited: 7
Enhancing Machine Learning Based SQL Injection Detection Using Contextualized Word Embedding
Janet Zulu, B. Han, Izzat Alsmadi, et al.
(2024), pp. 211-216
Closed Access | Times Cited: 2
Artificial intelligence-driven radiomics: developing valuable radiomics signatures with the use of artificial intelligence
Konstantinos Vrettos, Matthaios Triantafyllou, Kostas Marias, et al.
Deleted Journal (2024) Vol. 1, Iss. 1
Open Access | Times Cited: 2
-New frontiers in domain-inspired radiomics and radiogenomics: increasing role of molecular diagnostics in CNS tumor classification and grading following WHO CNS-5 updates
Gagandeep Singh, Annie Singh, Joseph Bae, et al.
Cancer Imaging (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 2
Artificial Intelligence for Response Assessment in Neuro Oncology (AI-RANO), part 1: review of current advancements
Javier Villanueva-Meyer, Spyridon Bakas, Pallavi Tiwari, et al.
The Lancet Oncology (2024) Vol. 25, Iss. 11, pp. e581-e588
Closed Access | Times Cited: 2
Advances in the Radiological Evaluation of and Theranostics for Glioblastoma
Grayson W. Hooper, Shehbaz Ansari, Jason M. Johnson, et al.
Cancers (2023) Vol. 15, Iss. 16, pp. 4162-4162
Open Access | Times Cited: 5
Cardiac Ultrasonic Tissue Characterization in Myocardial Infarction Based on Deep Transfer Learning and Radiomics Features
Ankush D. Jamthikar, Quincy A. Hathaway, Kameswari Maganti, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 1
The Current Diagnostic Performance of MRI-Based Radiomics for Glioma Grading: A Meta-Analysis
Lucio De Maria, Francesco Ponzio, Hwan-ho Cho, et al.
Journal of Integrative Neuroscience (2024) Vol. 23, Iss. 5
Open Access | Times Cited: 1
Prediction of IDH1 gene mutation by a nomogram based on multiparametric and multiregional MR images
Jinjing Zheng, Haibo Dong, Ming Li, et al.
Clinics (2023) Vol. 78, pp. 100238-100238
Open Access | Times Cited: 3
The value of multiparametric MRI radiomics in predicting IDH genotype in glioma before surgery
Yuanzi Liang, Wenjuan Liu, Dong Bai, et al.
Frontiers in Oncology (2023) Vol. 13
Open Access | Times Cited: 3
Effects of Multi-Shell Free Water Correction on Glioma Characterization
Lea Starck, Fulvio Zaccagna, Ofer Pasternak, et al.
Diagnostics (2021) Vol. 11, Iss. 12, pp. 2385-2385
Open Access | Times Cited: 7
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