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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:

Annotation-free glioma grading from pathological images using ensemble deep learning
Feng Su, Ye Cheng, Liang Chang, et al.
Heliyon (2023) Vol. 9, Iss. 3, pp. e14654-e14654
Open Access | Times Cited: 11

Showing 11 citing articles:

An ensemble-acute lymphoblastic leukemia model for acute lymphoblastic leukemia image classification
Mei‐Ling Huang, Zong-Bin Huang
Mathematical Biosciences & Engineering (2024) Vol. 21, Iss. 2, pp. 1959-1978
Open Access | Times Cited: 5
A multicenter proof-of-concept study on deep learning-based intraoperative discrimination of primary central nervous system lymphoma
Xinke Zhang, Zihan Zhao, Ruixuan Wang, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 5
Glioma subtype classification from histopathological images using in-domain and out-of-domain transfer learning: An experimental study
Vladimir Despotović, Sang‐Yoon Kim, Ann‐Christin Hau, et al.
Heliyon (2024) Vol. 10, Iss. 5, pp. e27515-e27515
Open Access | Times Cited: 4
Artificial intelligence in histopathological image analysis of central nervous system tumours: A systematic review
Melanie P. Jensen, Zekai Qiang, Danyal Z. Khan, et al.
Neuropathology and Applied Neurobiology (2024) Vol. 50, Iss. 3
Open Access | Times Cited: 1
Deep learning-driven diagnosis of multi-type vertebra diseases based on computed tomography images
Yongjie Wang, Feng Su, Lu Qian, et al.
Quantitative Imaging in Medicine and Surgery (2023) Vol. 14, Iss. 1, pp. 800-813
Open Access | Times Cited: 2
Automatic Height Measurement of Central Serous Chorioretinopathy Lesion Using a Deep Learning and Adaptive Gradient Threshold Based Cascading Strategy
Jianguo Xu, Fen Zhou, Jianxin Shen, et al.
Computers in Biology and Medicine (2024) Vol. 177, pp. 108610-108610
Closed Access
Applications of artificial intelligence in the analysis of histopathology images of gliomas: a review
Jan-Philipp Redlich, Friedrich Feuerhake, Joachim Weis, et al.
npj Imaging (2024) Vol. 2, Iss. 1
Open Access
Deep Residual Learning-Based Classification with Identification of Incorrect Predictions and Quantification of Cellularity and Nuclear Morphological Features in Digital Pathological Images of Common Astrocytic Tumors
Yen‐Chang Chen, Shinn‐Zong Lin, Jia‐Ru Wu, et al.
Cancers (2024) Vol. 16, Iss. 13, pp. 2449-2449
Open Access
“Grade 4 Astrocytoma vs Grade 4 Glioblastoma: Is there any clue in H&E?”
Cevriye Cansız Ersöz, Havva Berber, Aylın Okçu Heper
International Journal of Neuroscience (2024), pp. 1-6
Closed Access
Optimizing Multilayer Perceptron Using Genetic Algorithm for Glioma Classification
Mohammed Ibrahim, Siti Saadah, Isman Kurniawan
(2024), pp. 122-129
Closed Access
Image classification of intracranial tumor using deep residual learning technique
Gautam Sagar, Munish Kumar, Sk Hasane Ahammad, et al.
Multimedia Tools and Applications (2023) Vol. 83, Iss. 19, pp. 57409-57427
Closed Access
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