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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:

Brain tumor diagnosis from MRI based on Mobilenetv2 optimized by contracted fox optimization algorithm
Lu Xu, Morteza Mohammadi
Heliyon (2023) Vol. 10, Iss. 1, pp. e23866-e23866
Open Access | Times Cited: 19

Showing 19 citing articles:

A Novel Ensemble Framework for Multi-Classification of Brain Tumors Using Magnetic Resonance Imaging
Yasemın Çetın-Kaya, Mahır Kaya
Diagnostics (2024) Vol. 14, Iss. 4, pp. 383-383
Open Access | Times Cited: 9
An Efficient Brain Tumor Detection and Classification using Pre-Trained Convolutional Neural Network Models
K. Nishanth Rao, Osamah Ibrahim Khalaf, Vasagiri Krishnasree, et al.
Heliyon (2024) Vol. 10, Iss. 17, pp. e36773-e36773
Open Access | Times Cited: 7
Limb salvage prediction in peripheral artery disease patients using angiographic computer vision
Yury Rusinovich, Vitalii Liashko, Volha Rusinovich, et al.
Vascular (2025)
Closed Access
NeuroInsight: a revolutionary self-adaptive framework for precise brain tumor classification in medical imaging using adaptive deep learning
Sonia Arora, Gouri Sankar Mishra
Signal Image and Video Processing (2025) Vol. 19, Iss. 2
Open Access
A Hybrid Transfer Learning Framework for Brain Tumor Diagnosis
Sadia Islam Tonni, Md. Alif Sheakh, Mst. Sazia Tahosin, et al.
Advanced Intelligent Systems (2025)
Open Access
Real-Time Object Detector for Medical Diagnostics (RTMDet): A High-Performance Deep Learning Model for Brain Tumor Diagnosis
Sanjar Bakhtiyorov, Sabina Umirzakova, Muhammadjon Musaev, et al.
Bioengineering (2025) Vol. 12, Iss. 3, pp. 274-274
Open Access
A spatiotemporal feature-based early-stage cervical cancer diagnostic report generation method using bimodal image
Jialin Su, Chunxia Chen, Yongping Lin, et al.
Biomedical Signal Processing and Control (2025) Vol. 107, pp. 107805-107805
Closed Access
Brain tumor X-ray images enhancement and classification using anisotropic diffusion filter and transfer learning models
Mamdouh M. Gomaa, Asmaa G. Zain elabdeen, Alaa Elnashar, et al.
International Journal of Information Technology (2024) Vol. 16, Iss. 6, pp. 3771-3779
Closed Access | Times Cited: 2
FOX Optimization Algorithm Based on Adaptive Spiral Flight and Multi-Strategy Fusion
Zheng Zhang, Xiangkun Wang, Li Cao
Biomimetics (2024) Vol. 9, Iss. 9, pp. 524-524
Open Access | Times Cited: 2
FOAEAUC-SARP: A novel energy-efficient protocol integrating unequal clustering and intelligent routing for sustainable wireless sensor networks
P. Vijayaragavan, Vijayalakshmi Saravanan, C. P. Suresh, et al.
Results in Engineering (2024) Vol. 25, pp. 103806-103806
Closed Access | Times Cited: 2
Deep learning pipeline reveals key moments in human embryonic development predictive of live birth after in vitro fertilization
Camilla Mapstone, Helen Hunter, Daniel R. Brison, et al.
Biology Methods and Protocols (2024) Vol. 9, Iss. 1
Open Access | Times Cited: 1
NeuroInsight: A Revolutionary Self-Adaptive Framework for Precise Brain Tumor Classification in Medical ImagingUsing Adaptive Deep Learning
Sonia Arora, Gouri Sankar Mishra
Research Square (Research Square) (2024)
Open Access | Times Cited: 1
Deep Learning Approaches for Brain Tumor Detection and Classification Using MRI Images (2020 to 2024): A Systematic Review
Sara Bouhafra, Hassan El Bahi
Deleted Journal (2024)
Closed Access | Times Cited: 1
Optimized brain tumor analysis in FLAIR-MRI LGG images: leveraging transfer learning and optimization for enhanced diagnosis and localization

International Journal of Advanced Technology and Engineering Exploration (2024) Vol. 11, Iss. 116
Open Access
Advancing Healthcare Diagnostics
J. Olalekan Awujoola, T. Aniemeka Enem, F. N. Ogwueleka, et al.
(2024), pp. 413-433
Closed Access
Smart architectures: computerized classification of brain tumors from MRI images utilizing deep learning approaches
Maad M. Mijwil
Multimedia Tools and Applications (2024)
Closed Access
Uncertainty Handling and Information Processing Capabilities of Granular Computing: A Deep Learning Aspect
Sonu Sonu, Anshul Kumar, Robin Singh Bhadoria, et al.
Studies in fuzziness and soft computing (2024), pp. 321-336
Closed Access
Efficient and Accurate Brain Tumor Classification Using Hybrid MobileNetV2–Support Vector Machine for Magnetic Resonance Imaging Diagnostics in Neoplasms
Mohammed Jajere Adamu, Halima Bello Kawuwa, Qiang Li, et al.
Brain Sciences (2024) Vol. 14, Iss. 12, pp. 1178-1178
Open Access
MRI brain tumor classification based on CNN features and machine learning classifiers
Yefan Liu, Zhendong Wang, Yunpeng Xue, et al.
Journal of Ambient Intelligence and Humanized Computing (2024) Vol. 16, Iss. 1, pp. 233-242
Closed Access
Brain Tumor Detection with YOLOv8
Chetan Mahale, Sanchalee Meshram, Abhishek Pakhmode
(2024), pp. 1-5
Closed Access
Indoor Activity Monitoring Using Chaotic Dwarf Mongoose Optimization with Deep Learning for Elderly and Visually Impaired People
Jaber S. Alzahrani, Mohammed Rizwanullah, Azza Elneil Osman
Deleted Journal (2024) Vol. 3, Iss. 7
Closed Access
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