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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:

Automated Detection of Alzheimer’s Disease Using Brain MRI Images– A Study with Various Feature Extraction Techniques
U. Rajendra Acharya, Steven Lawrence Fernandes, Joel En WeiKoh, et al.
Journal of Medical Systems (2019) Vol. 43, Iss. 9
Closed Access | Times Cited: 282

Showing 1-25 of 282 citing articles:

Brain tumor segmentation and classification from magnetic resonance images: Review of selected methods from 2014 to 2019
Arti Tiwari, Shilpa Srivastava, Millie Pant
Pattern Recognition Letters (2019) Vol. 131, pp. 244-260
Closed Access | Times Cited: 296
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: 285
Transfer learning techniques for medical image analysis: A review
Padmavathi Kora, Chui Ping Ooi, Oliver Faust, et al.
Journal of Applied Biomedicine (2021) Vol. 42, Iss. 1, pp. 79-107
Closed Access | Times Cited: 233
COVID-19 image classification using deep features and fractional-order marine predators algorithm
Ahmed T. Sahlol, Dalia Yousri, Ahmed A. Ewees, et al.
Scientific Reports (2020) Vol. 10, Iss. 1
Open Access | Times Cited: 231
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: 211
A decision support system for multimodal brain tumor classification using deep learning
Muhammad Imran Sharif, Muhammad Attique Khan, Musaed Alhussein, et al.
Complex & Intelligent Systems (2021) Vol. 8, Iss. 4, pp. 3007-3020
Open Access | Times Cited: 187
An integrated design of particle swarm optimization (PSO) with fusion of features for detection of brain tumor
Muhammad Sharif, Javeria Amin, Mudassar Raza, et al.
Pattern Recognition Letters (2019) Vol. 129, pp. 150-157
Closed Access | Times Cited: 171
Customized VGG19 Architecture for Pneumonia Detection in Chest X-Rays
Nilanjan Dey, Yudong Zhang, V. Rajinikanth, et al.
Pattern Recognition Letters (2021) Vol. 143, pp. 67-74
Closed Access | Times Cited: 167
Machine Learning and Deep Learning Approaches for Brain Disease Diagnosis: Principles and Recent Advances
Protima Khan, Md. Fazlul Kader, S. M. Riazul Islam, et al.
IEEE Access (2021) Vol. 9, pp. 37622-37655
Open Access | Times Cited: 158
Deep Learning for Smart Healthcare—A Survey on Brain Tumor Detection from Medical Imaging
Mahsa Arabahmadi, Reza Farahbakhsh, Javad Rezazadeh
Sensors (2022) Vol. 22, Iss. 5, pp. 1960-1960
Open Access | Times Cited: 142
Schizophrenia detection technique using multivariate iterative filtering and multichannel EEG signals
Kritiprasanna Das, Ram Bilas Pachori
Biomedical Signal Processing and Control (2021) Vol. 67, pp. 102525-102525
Closed Access | Times Cited: 102
Combining a convolutional neural network with autoencoders to predict the survival chance of COVID-19 patients
Fahime Khozeimeh, Danial Sharifrazi, Navid Hoseini Izadi, et al.
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 102
Deep Learning-Based Diagnosis of Alzheimer’s Disease
Tausifa Jan Saleem, Syed Rameem Zahra, Fan Wu, et al.
Journal of Personalized Medicine (2022) Vol. 12, Iss. 5, pp. 815-815
Open Access | Times Cited: 78
Classification and Analysis of Pistachio Species with Pre-Trained Deep Learning Models
Dilbag Singh, Yavuz Selim Taşpınar, Ramazan Kursun, et al.
Electronics (2022) Vol. 11, Iss. 7, pp. 981-981
Open Access | Times Cited: 73
Brain tumor segmentation based on optimized convolutional neural network and improved chimp optimization algorithm
Ramin Ranjbarzadeh, Payam Zarbakhsh, Annalina Caputo, et al.
Computers in Biology and Medicine (2023) Vol. 168, pp. 107723-107723
Open Access | Times Cited: 46
Alzheimer’s Disease Detection Using Deep Learning on Neuroimaging: A Systematic Review
Mohammed Alsubaie, Suhuai Luo, Kamran Shaukat
Machine Learning and Knowledge Extraction (2024) Vol. 6, Iss. 1, pp. 464-505
Open Access | Times Cited: 25
Artificial Intelligence Techniques for Automated Diagnosis of Neurological Disorders
U. Raghavendra, U. Rajendra Acharya, Hojjat Adeli
European Neurology (2019) Vol. 82, Iss. 1-3, pp. 41-64
Open Access | Times Cited: 131
A novel method for sentiment classification of drug reviews using fusion of deep and machine learning techniques
Mohammad Ehsan Basiri, Moloud Abdar, Mehmet Akif Çifçi, et al.
Knowledge-Based Systems (2020) Vol. 198, pp. 105949-105949
Closed Access | Times Cited: 130
Lungs cancer classification from CT images: An integrated design of contrast based classical features fusion and selection
Muhammad Attique Khan, Saddaf Rubab, Asifa Kashif, et al.
Pattern Recognition Letters (2019) Vol. 129, pp. 77-85
Closed Access | Times Cited: 120
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
Complexity Analysis of EEG, MEG, and fMRI in Mild Cognitive Impairment and Alzheimer’s Disease: A Review
Jie Sun, Bin Wang, Yan Niu, et al.
Entropy (2020) Vol. 22, Iss. 2, pp. 239-239
Open Access | Times Cited: 115
An ensemble learning approach for brain cancer detection exploiting radiomic features
Luca Brunese, Francesco Mercaldo, Alfonso Reginelli, et al.
Computer Methods and Programs in Biomedicine (2019) Vol. 185, pp. 105134-105134
Closed Access | Times Cited: 113
Social Group Optimization–Assisted Kapur’s Entropy and Morphological Segmentation for Automated Detection of COVID-19 Infection from Computed Tomography Images
Nilanjan Dey, V. Rajinikanth, Simon Fong, et al.
Cognitive Computation (2020) Vol. 12, Iss. 5, pp. 1011-1023
Open Access | Times Cited: 106
Quantum Machine Learning Architecture for COVID-19 Classification Based on Synthetic Data Generation Using Conditional Adversarial Neural Network
Javeria Amin, Muhammad Sharif, Nadia Gul, et al.
Cognitive Computation (2021) Vol. 14, Iss. 5, pp. 1677-1688
Open Access | Times Cited: 99
VGG19 Network Assisted Joint Segmentation and Classification of Lung Nodules in CT Images
Muhammad Attique Khan, V. Rajinikanth, Suresh Chandra Satapathy, et al.
Diagnostics (2021) Vol. 11, Iss. 12, pp. 2208-2208
Open Access | Times Cited: 99
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