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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:

Multi-grade brain tumor classification using deep CNN with extensive data augmentation
Muhammad Sajjad, Salman Khan, Khan Muhammad, et al.
Journal of Computational Science (2018) Vol. 30, pp. 174-182
Closed Access | Times Cited: 732

Showing 1-25 of 732 citing articles:

A review of medical image data augmentation techniques for deep learning applications
Phillip Chlap, Hang Min, Nym Vandenberg, et al.
Journal of Medical Imaging and Radiation Oncology (2021) Vol. 65, Iss. 5, pp. 545-563
Closed Access | Times Cited: 631
Convolutional neural networks in medical image understanding: a survey
D. R. Sarvamangala, Raghavendra V. Kulkarni
Evolutionary Intelligence (2021) Vol. 15, Iss. 1, pp. 1-22
Open Access | Times Cited: 590
Classification of Brain Tumors from MRI Images Using a Convolutional Neural Network
Milica Badža Atanasijević, Marko Barjaktarović
Applied Sciences (2020) Vol. 10, Iss. 6, pp. 1999-1999
Open Access | Times Cited: 473
A Deep Learning Model Based on Concatenation Approach for the Diagnosis of Brain Tumor
Neelum Noreen, Sellappan Palaniappan, Abdul Qayyum, et al.
IEEE Access (2020) Vol. 8, pp. 55135-55144
Open Access | Times Cited: 356
Multimodal Brain Tumor Classification Using Deep Learning and Robust Feature Selection: A Machine Learning Application for Radiologists
Muhammad Attique Khan, Imran Ashraf, Majed Alhaisoni, et al.
Diagnostics (2020) Vol. 10, Iss. 8, pp. 565-565
Open Access | Times Cited: 342
Multi-Classification of Brain Tumor MRI Images Using Deep Convolutional Neural Network with Fully Optimized Framework
Emrah Irmak
Iranian Journal of Science and Technology Transactions of Electrical Engineering (2021) Vol. 45, Iss. 3, pp. 1015-1036
Open Access | Times Cited: 336
Deep Learning for Multigrade Brain Tumor Classification in Smart Healthcare Systems: A Prospective Survey
Khan Muhammad, Salman Khan, Javier Del Ser, et al.
IEEE Transactions on Neural Networks and Learning Systems (2020) Vol. 32, Iss. 2, pp. 507-522
Closed Access | Times Cited: 312
Active deep neural network features selection for segmentation and recognition of brain tumors using MRI images
Muhammad Irfan Sharif, Jianping Li, Muhammad Attique Khan, et al.
Pattern Recognition Letters (2019) Vol. 129, pp. 181-189
Closed Access | Times Cited: 287
Brain tumor classification in MRI image using convolutional neural network
Hassan Ali Khan, Jue Wu, Muhammad Umer Mushtaq, et al.
Mathematical Biosciences & Engineering (2020) Vol. 17, Iss. 5, pp. 6203-6216
Open Access | Times Cited: 287
Deep Multi-Scale 3D Convolutional Neural Network (CNN) for MRI Gliomas Brain Tumor Classification
Hiba Mzoughi, Ines Njeh, Ali Wali, et al.
Journal of Digital Imaging (2020) Vol. 33, Iss. 4, pp. 903-915
Open Access | Times Cited: 271
Deep CNN for Brain Tumor Classification
Wadhah Ayadi, Wajdi Elhamzi, Imen Charfi, et al.
Neural Processing Letters (2021) Vol. 53, Iss. 1, pp. 671-700
Closed Access | Times Cited: 260
Designing deep learning studies in cancer diagnostics
Andreas Kleppe, Ole-Johan Skrede, Sepp de Raedt, et al.
Nature reviews. Cancer (2021) Vol. 21, Iss. 3, pp. 199-211
Closed Access | Times Cited: 258
Microscopic brain tumor detection and classification using 3D CNN and feature selection architecture
Amjad Rehman, Muhammad Attique Khan, Tanzila Saba, et al.
Microscopy Research and Technique (2020) Vol. 84, Iss. 1, pp. 133-149
Closed Access | Times Cited: 245
BrainMRNet: Brain tumor detection using magnetic resonance images with a novel convolutional neural network model
Mesut Toğaçar, Burhan Ergen, Zafer Cömert
Medical Hypotheses (2019) Vol. 134, pp. 109531-109531
Closed Access | Times Cited: 242
Detection of abnormal brain in MRI via improved AlexNet and ELM optimized by chaotic bat algorithm
Siyuan Lu, Shuihua Wang‎, Yudong Zhang
Neural Computing and Applications (2020) Vol. 33, Iss. 17, pp. 10799-10811
Closed Access | Times Cited: 212
Violence Detection Using Spatiotemporal Features with 3D Convolutional Neural Network
Fath U Min Ullah, Amin Ullah, Khan Muhammad, et al.
Sensors (2019) Vol. 19, Iss. 11, pp. 2472-2472
Open Access | Times Cited: 195
A Hybrid Deep Learning-Based Approach for Brain Tumor Classification
Asaf Raza, Huma Ayub, Javed Ali Khan, et al.
Electronics (2022) Vol. 11, Iss. 7, pp. 1146-1146
Open Access | Times Cited: 194
Multi-class brain tumor classification using residual network and global average pooling
R Lokesh Kumar, Jagadeesh Kakarla, Bala Venkateswarlu Isunuri, et al.
Multimedia Tools and Applications (2021) Vol. 80, Iss. 9, pp. 13429-13438
Closed Access | Times Cited: 193
Brain tumor segmentation using K‐means clustering and deep learning with synthetic data augmentation for classification
Amjad Rehman, Siraj M. Khan, Majid Harouni, et al.
Microscopy Research and Technique (2021) Vol. 84, Iss. 7, pp. 1389-1399
Closed Access | Times Cited: 189
Multi-Modal Brain Tumor Detection Using Deep Neural Network and Multiclass SVM
Sarmad Maqsood, Robertas Damaševičius, Rytis Maskeliūnas
Medicina (2022) Vol. 58, Iss. 8, pp. 1090-1090
Open Access | Times Cited: 174
Accurate brain tumor detection using deep convolutional neural network
Md. Saikat Islam Khan, Anichur Rahman, Tanoy Debnath, et al.
Computational and Structural Biotechnology Journal (2022) Vol. 20, pp. 4733-4745
Open Access | Times Cited: 174
State-of-the-Art CNN Optimizer for Brain Tumor Segmentation in Magnetic Resonance Images
Muhammad Yaqub, Jinchao Feng, M. Sultan Zia, et al.
Brain Sciences (2020) Vol. 10, Iss. 7, pp. 427-427
Open Access | Times Cited: 172
Artificial Intelligence-Based Mitosis Detection in Breast Cancer Histopathology Images Using Faster R-CNN and Deep CNNs
Tahir Mahmood, Muhammad Arsalan, Muhammad Owais, et al.
Journal of Clinical Medicine (2020) Vol. 9, Iss. 3, pp. 749-749
Open Access | Times Cited: 171
Data augmentation for medical imaging: A systematic literature review
Fabio Garcea, Alessio Serra, Fabrizio Lamberti, et al.
Computers in Biology and Medicine (2022) Vol. 152, pp. 106391-106391
Closed Access | Times Cited: 170
Brain tumor detection and multi‐classification using advanced deep learning techniques
Tariq Sadad, Amjad Rehman, Asim Munir, et al.
Microscopy Research and Technique (2021) Vol. 84, Iss. 6, pp. 1296-1308
Closed Access | Times Cited: 166
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