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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:

Evolutionary Model for Brain Cancer-Grading and Classification
Faizan Ullah, Muhammad Nadeem, Mohammad Abrar, et al.
IEEE Access (2023) Vol. 11, pp. 126182-126194
Open Access | Times Cited: 37

Showing 26-50 of 37 citing articles:

Brain Tumor Detection Using a Deep CNN Model
Sonia Ben Brahim, Samia Dardouri, Ridha Bouallègue
Applied Computational Intelligence and Soft Computing (2024) Vol. 2024, Iss. 1
Open Access
Bio-inspired feature selection for early diagnosis of Parkinson’s disease through optimization of deep 3D nested learning
S. Priyadharshini, K. Ramkumar, V. Subramaniyaswamy, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access
Addressing challenges in accurate brain tumor classification in MRI: a transfer learning approach with EfficientNetB3 and comprehensive model evaluation
Surajit Das, Rajat Subhra Goswami
Multimedia Tools and Applications (2024)
Closed Access
Clinical and CT characteristics for predicting lymph node metastasis in patients with synchronous multiple primary lung adenocarcinoma
Yantao Yang, Ziqi Jiang, Qiubo Huang, et al.
BMC Medical Imaging (2024) Vol. 24, Iss. 1
Open Access
Parallel-way: Multi-modality-based brain tumor segmentation using parallel capsule network
Santhosh Kumar S, S. Sasirekha, R. Santhosh
Electromagnetic Biology and Medicine (2024), pp. 1-25
Closed Access
Node-Based Graph Convolutional Network with SLIC Method for Breast Cancer Ultrasound Images Classification
Kien Trang, Fung Fung Ting, Bao Quoc Vuong, et al.
IEEE Access (2024) Vol. 12, pp. 171036-171054
Open Access
Accelerating Brain MR Imaging With Multisequence and Convolutional Neural Networks
Zhanhao Mo, He Sui, Zhongwen Lv, et al.
Brain and Behavior (2024) Vol. 14, Iss. 11
Open Access
EDB-Diff: a EdgeDevice based diffusion network for brain tumor image segmentation
Yijun Liu, Linfeng Xie, Wujian Ye
Multimedia Systems (2024) Vol. 30, Iss. 6
Closed Access
Dual-task vision transformer for rapid and accurate intracerebral hemorrhage CT image classification
Jialiang Fan, Xinhui Fan, Chengyan Song, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access
Deploying the model of improved heuristic-assisted adaptive SegUnet++ and multi-scale deep learning network for liver tumor segmentation and classification
P. Sampurna Lakshmi, D. Nagadevi, Suman Kothakonda, et al.
Journal of Real-Time Image Processing (2024) Vol. 22, Iss. 1
Closed Access
Innovative fusion of VGG16, MobileNet, EfficientNet, AlexNet, and ResNet50 for MRI-based brain tumor identification
Marjan Kia, Soroush Sadeghi, Homayoun Safarpour, et al.
Iran Journal of Computer Science (2024)
Closed Access
Leveraging transfer learning-driven convolutional neural network-based semantic segmentation model for medical image analysis using MRI images
Amal Alshardan, Nuha Alruwais, Hamed Alqahtani, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access
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