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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:

A Customized VGG19 Network with Concatenation of Deep and Handcrafted Features for Brain Tumor Detection
V. Rajinikanth, Alex Noel Joseph Raj, Palani Thanaraj Krishnan, et al.
Applied Sciences (2020) Vol. 10, Iss. 10, pp. 3429-3429
Open Access | Times Cited: 117

Showing 26-50 of 117 citing articles:

Multi-class Classification of Class Imbalanced Skin Lesion Dataset Using a Modified SMOTE-ENN Gabor-Enhanced VGG-19 Architecture
Madhusmita Sahoo, Rajeswari Sridhar
SN Computer Science (2025) Vol. 6, Iss. 3
Closed Access
Automated detection of age-related macular degeneration using a pre-trained deep-learning scheme
Seifedine Kadry, V. Rajinikanth, Rubén González Crespo, et al.
The Journal of Supercomputing (2021) Vol. 78, Iss. 5, pp. 7321-7340
Closed Access | Times Cited: 31
Deep learning for the prediction and classification of land use and land cover changes using deep convolutional neural network
J. Jagannathan, C. Divya
Ecological Informatics (2021) Vol. 65, pp. 101412-101412
Closed Access | Times Cited: 29
U-Net Supported Segmentation of Ischemic-Stroke-Lesion from Brain MRI Slices
Seifedine Kadry, Robertas Damaševičius, David Taniar, et al.
(2021), pp. 1-5
Closed Access | Times Cited: 28
Automated Detection of Brain Abnormality using Deep-Learning-Scheme: A Study
Seifedine Kadry, Yunyoung Nam, Hafiz Tayyab Rauf, et al.
(2021), pp. 1-5
Closed Access | Times Cited: 27
A data constrained approach for brain tumour detection using fused deep features and SVM
Prabira Kumar Sethy, Santi Kumari Behera
Multimedia Tools and Applications (2021) Vol. 80, Iss. 19, pp. 28745-28760
Closed Access | Times Cited: 27
VGG-UNet/VGG-SegNet Supported Automatic Segmentation of Endoplasmic Reticulum Network in Fluorescence Microscopy Images
Jesline Daniel, J. T. Anita Rose, F. Sangeetha Francelin Vinnarasi, et al.
Scanning (2022) Vol. 2022, pp. 1-11
Open Access | Times Cited: 20
Analysis of Preprocessing Techniques, Keras Tuner, and Transfer Learning on Cloud Street image data
Sharmad Joshi, Jessie Ann Owens, Shlok Shah, et al.
2021 IEEE International Conference on Big Data (Big Data) (2021), pp. 4165-4168
Closed Access | Times Cited: 24
Automated segmentation of chronic stroke lesion using efficient U-Net architecture
Hyunkwang Shin, Rockson Agyeman, Muhammad Rafiq, et al.
Journal of Applied Biomedicine (2022) Vol. 42, Iss. 1, pp. 285-294
Closed Access | Times Cited: 17
CNN supported framework for automatic extraction and evaluation of dermoscopy images
Xiaochun Cheng, Seifedine Kadry, Maytham N. Meqdad, et al.
The Journal of Supercomputing (2022) Vol. 78, Iss. 15, pp. 17114-17131
Closed Access | Times Cited: 16
Melanoma Skin Cancer Detection Using Ensemble of Machine Learning Models Considering Deep Feature Embeddings
Subhayu Ghosh, S. Dhar, Raktim Yoddha, et al.
Procedia Computer Science (2024) Vol. 235, pp. 3007-3015
Open Access | Times Cited: 3
Tuberculosis detection in chest X-ray using Mayfly-algorithm optimized dual-deep-learning features
M. P. Rajakumar, R. Sonia, B. Uma Maheswari, et al.
Journal of X-Ray Science and Technology (2021) Vol. 29, Iss. 6, pp. 961-974
Closed Access | Times Cited: 20
Automated brain tumor identification using magnetic resonance imaging: A systematic review and meta-analysis
Omar Kouli, A Hassane, Dania Badran, et al.
Neuro-Oncology Advances (2022) Vol. 4, Iss. 1
Open Access | Times Cited: 15
Automatic Detection of Tuberculosis Using VGG19 with Seagull-Algorithm
Ramya Mohan, Seifedine Kadry, V. Rajinikanth, et al.
Life (2022) Vol. 12, Iss. 11, pp. 1848-1848
Open Access | Times Cited: 14
A Novel Deep Dense Block-Based Model for Detecting Alzheimer’s Disease
Selahattin Barış ÇELEBİ, Bülent Gürsel Emiroğlu
Applied Sciences (2023) Vol. 13, Iss. 15, pp. 8686-8686
Open Access | Times Cited: 8
Detecting epilepsy in EEG signals using synchro-extracting-transform (SET) supported classification technique
V. Rajinikanth, Seifedine Kadry, David Taniar, et al.
Journal of Ambient Intelligence and Humanized Computing (2022) Vol. 14, Iss. 8, pp. 10123-10141
Closed Access | Times Cited: 12
Automated Brain Tumor Segmentation and Classification Through MRI Images
Sahar Gull, Shahzad Akbar, Syed Ale Hassan, et al.
Communications in computer and information science (2022), pp. 182-194
Closed Access | Times Cited: 12
Tuberculosis Detection in Chest Radiographs Using Spotted Hyena Algorithm Optimized Deep and Handcrafted Features
Seifedine Kadry, Gautam Srivastava, V. Rajinikanth, et al.
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-12
Open Access | Times Cited: 12
Deep learning-powered biomedical photoacoustic imaging
Wei Xiang, Ting Feng, Qinghua Huang, et al.
Neurocomputing (2023) Vol. 573, pp. 127207-127207
Closed Access | Times Cited: 7
Ensemble Learning-Based Solutions: An Approach for Evaluating Multiple Features in the Context of H&E Histological Images
Jaqueline Junko Tenguam, Leonardo C. Longo, Guilherme Freire Roberto, et al.
Applied Sciences (2024) Vol. 14, Iss. 3, pp. 1084-1084
Open Access | Times Cited: 2
Feature selection using adaptive manta ray foraging optimization for brain tumor classification
K. S. Neetha, Dayanand Lal Narayan
Pattern Analysis and Applications (2024) Vol. 27, Iss. 2
Closed Access | Times Cited: 2
Exploring DeepDream and XAI Representations for Classifying Histological Images
João Martinez, Leandro Alves Neves, Leonardo C. Longo, et al.
SN Computer Science (2024) Vol. 5, Iss. 4
Closed Access | Times Cited: 2
A Novel Feature Selection Approach-Based Sampling Theory on Grapevine Images Using Convolutional Neural Networks
Öznur Özaltın, Nursel Koyuncu
Arabian Journal for Science and Engineering (2024)
Open Access | Times Cited: 2
Segmentation and Classification of Stomach Abnormalities Using Deep Learning
Javeria Naz, Muhammad Attique Khan, Majed Alhaisoni, et al.
Computers, materials & continua/Computers, materials & continua (Print) (2021) Vol. 69, Iss. 1, pp. 607-625
Open Access | Times Cited: 17
Development of a Framework for Preserving the Disease-Evidence-Information to Support Efficient Disease Diagnosis
V. Rajinikanth, Seifedine Kadry
International Journal of Data Warehousing and Mining (2021) Vol. 17, Iss. 2, pp. 63-84
Closed Access | Times Cited: 16

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