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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:

Deep Learning Techniques for the Classification of Brain Tumor: A Comprehensive Survey
Ayesha Younis, Qiang Li, Mudassar Khalid, et al.
IEEE Access (2023) Vol. 11, pp. 113050-113063
Open Access | Times Cited: 13

Showing 13 citing articles:

Modified U-Net with attention gate for enhanced automated brain tumor segmentation
Shoffan Saifullah, Rafał Dreżewski, Anton Yudhana, et al.
Neural Computing and Applications (2025)
Closed Access | Times Cited: 1
Vision transformer based classification of gliomas from histopathological images
Evgin Göçeri
Expert Systems with Applications (2023) Vol. 241, pp. 122672-122672
Closed Access | Times Cited: 32
Hybrid Parallel Fuzzy CNN Paradigm: Unmasking Intricacies for Accurate Brain MRI Insights
Saeed Iqbal, Adnan N. Qureshi, Khursheed Aurangzeb, et al.
IEEE Transactions on Fuzzy Systems (2024) Vol. 32, Iss. 10, pp. 5533-5544
Closed Access | Times Cited: 6
Comprehensive Survey on Computational Techniques for Brain Tumor Detection: Past, Present and Future
Priyanka Datta, Rajesh Rohilla
Archives of Computational Methods in Engineering (2025)
Closed Access
SPBTGNS: Design of an Efficient Model for Survival Prediction in Brain Tumour Patients using Generative Adversarial Network with Neural Architectural Search Operations
Ruqsar Zaitoon, Sachi Nandan Mohanty, Deepthi Godavarthi, et al.
IEEE Access (2024) Vol. 12, pp. 140847-140869
Open Access | Times Cited: 4
Brain tumor detection and classification in MRI using hybrid ViT and GRU model with explainable AI in Southern Bangladesh
Md. Mahfuz Ahmed, Md. Maruf Hossain, Md. Rakibul Islam, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 3
Examining the quality of learned representations in self-supervised medical image analysis: a comprehensive review and empirical study
Kaliprasad Pani, Indu Chawla
Multimedia Tools and Applications (2024)
Closed Access | Times Cited: 1
Enhancing Brain Tumor Diagnosis: A CNN-Based Multi-Class Classification Approach
Rohith Krishnan, P G Gokul, Gopikrishnan Sujith, et al.
(2024), pp. 1-6
Closed Access | Times Cited: 1
CSMEC-based deep learning model for detection and classification of brain tumours in MR images
D. Beaulah Princiba, P. Ezhilarasi, S. Rajeshkannan
Neural Computing and Applications (2024) Vol. 36, Iss. 29, pp. 18479-18498
Closed Access | Times Cited: 1
Advancements in deep learning techniques for brain tumor segmentation: A survey
C. Umarani, Shantappa G. Gollagi, Shridhar Allagi, et al.
Informatics in Medicine Unlocked (2024) Vol. 50, pp. 101576-101576
Open Access | Times Cited: 1
A fine-tuned deep transfer learning model in classifying multiclass brain tumors for preclinical MRI image analysis
Ch. Rajendra Prasad, Sreedhar Kollem, Srinivas Samala, et al.
Elsevier eBooks (2024), pp. 259-272
Closed Access
Enhanced Analysis: Gan-Based Medical Imaging Analysis for Brain Tumor Detection
Lanke Pallavi, Thati Ramya, Singupurapu Sai Charan, et al.
(2024)
Open Access
MRI-Based Brain Tumour Detection Utilizing Machine Learning and Deep Learning Techniques
Lipsa Das, Akanksha Singh, Durgesh K. Jha, et al.
(2024), pp. 1378-1384
Closed Access
Enhanced Brain Tumor Segmentation and Size Estimation in MRI Samples using Hybrid Optimization
Ayesha Agrawal, Vinod Maan
Data & Metadata (2023) Vol. 2, pp. 408-408
Closed Access
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