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:

AlexNet approach for early stage Alzheimer’s disease detection from MRI brain images
L. Sathish Kumar, S. Hariharasitaraman, Kanagaraj Narayanasamy, et al.
Materials Today Proceedings (2021) Vol. 51, pp. 58-65
Closed Access | Times Cited: 47

Showing 1-25 of 47 citing articles:

AlzheimerNet: An Effective Deep Learning Based Proposition for Alzheimer’s Disease Stages Classification From Functional Brain Changes in Magnetic Resonance Images
F. M. Javed Mehedi Shamrat, Shamima Akter, Sami Azam, et al.
IEEE Access (2023) Vol. 11, pp. 16376-16395
Open Access | Times Cited: 93

Fuzzy-VGG: A fast deep learning method for predicting the staging of Alzheimer's disease based on brain MRI
Zhaomin Yao, Wenxin Mao, Yizhe Yuan, et al.
Information Sciences (2023) Vol. 642, pp. 119129-119129
Closed Access | Times Cited: 18

A Novel Deep Learning Architecture Optimization for Multiclass Classification of Alzheimer’s Disease Level
Mahır Kaya, Yasemın Çetın-Kaya
IEEE Access (2024) Vol. 12, pp. 46562-46581
Open Access | Times Cited: 6

ConvADD: Exploring a Novel CNN Architecture for Alzheimer's Disease Detection
Mohammed Alsubaie, Suhuai Luo, Kamran Shaukat
International Journal of Advanced Computer Science and Applications (2024) Vol. 15, Iss. 4
Open Access | Times Cited: 6

Deep Learning for Alzheimer’s Disease Prediction: A Comprehensive Review
Isra Malik, Ahmed Iqbal, Yeong Hyeon Gu, et al.
Diagnostics (2024) Vol. 14, Iss. 12, pp. 1281-1281
Open Access | Times Cited: 6

An Alzheimer’s disease category progression sub-grouping analysis using manifold learning on ADNI
Dustin van der Haar, Ahmed A. Moustafa, Samuel L. Warren, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 12

The effect of wavelet transform on the classification performance of different deep learning architectures
Muhammed Mustafa Kelek, Uğur Fidan, Yüksel Oğuz
Signal Image and Video Processing (2025) Vol. 19, Iss. 5
Closed Access

Performance Analysis of Machine Learning and Deep Learning Models for Classification of Alzheimer’s Disease from Brain MRI
T. Illakiya, R. Karthik
Traitement du signal (2022) Vol. 39, Iss. 6, pp. 1961-1970
Open Access | Times Cited: 18

CNN-based method for chromatic confocal microscopy
Juanjuan Wu, Ye Yuan, Tao Liu, et al.
Precision Engineering (2024) Vol. 86, pp. 351-358
Closed Access | Times Cited: 3

Detection of Alzheimer’s disease using pre-trained deep learning models through transfer learning: a review
Maleika Heenaye-Mamode Khan, Pushtika Reesaul, Muhammad Muzzammil Auzine, et al.
Artificial Intelligence Review (2024) Vol. 57, Iss. 10
Open Access | Times Cited: 3

Innovative fusion of VGG16, MobileNet, EfficientNet, AlexNet, and ResNet50 for MRI-based brain tumor identification
Marjan Kia, Soroush Sadeghi, Homayoun Safarpour, et al.
Iran Journal of Computer Science (2024)
Closed Access | Times Cited: 3

Real-time detection method of window opening behavior using deep learning-based image recognition in severe cold regions
C. T. Sun, Xumiao Guo, Tianyu Zhao, et al.
Energy and Buildings (2022) Vol. 268, pp. 112196-112196
Closed Access | Times Cited: 15

Evaluation of 1D and 2D Deep Convolutional Neural Networks for Driving Event Recognition
Álvaro Teixeira. Escottá, Wesley Beccaro, Miguel Arjona Ramírez
Sensors (2022) Vol. 22, Iss. 11, pp. 4226-4226
Open Access | Times Cited: 13

DeepDate: A deep fusion model based on whale optimization and artificial neural network for Arabian date classification
Nour Eldeen M. Khalifa, Jiaji Wang, Mohamed Hamed N. Taha, et al.
PLoS ONE (2024) Vol. 19, Iss. 7, pp. e0305292-e0305292
Open Access | Times Cited: 2

Local interpretable model-agnostic explanation approach for medical imaging analysis: A systematic literature review
Shahab Ul Hassan, Said Jadid Abdulkadir, Mohd Soperi Mohd Zahid, et al.
Computers in Biology and Medicine (2024) Vol. 185, pp. 109569-109569
Open Access | Times Cited: 2

Machine learning combined with electrochemical sensor for rapid detection of Sudan Red I in food
Xi Sun, Feng Liu, Xiao Xue
Journal of Food Measurement & Characterization (2023) Vol. 18, Iss. 1, pp. 95-104
Closed Access | Times Cited: 6

Local and Deep Features Based Convolutional Neural Network Frameworks for Brain MRI Anomaly Detection
Sajad Einy, Hasan Saygın, Hemrah Hivehch, et al.
Complexity (2022) Vol. 2022, Iss. 1
Open Access | Times Cited: 9

Automated Identification of Cutaneous Leishmaniasis Lesions Using Deep-Learning-Based Artificial Intelligence
José Fabrício de Carvalho Leal, Daniel Holanda Barroso, Natália Santos Trindade, et al.
Biomedicines (2023) Vol. 12, Iss. 1, pp. 12-12
Open Access | Times Cited: 5

Laser Cleaning Surface Roughness Estimation Using Enhanced GLCM Feature and IPSO-SVR
Jianyue Ge, Haoting Liu, Shaohua Yang, et al.
Photonics (2022) Vol. 9, Iss. 8, pp. 510-510
Open Access | Times Cited: 8

Early Detection of Alzheimer’s Disease Using SVM, Random Forest & FNN Algorithms
B. Shanmukha Sai Varma, G. Kalyani, Koyagura Asish, et al.
(2023), pp. 1-6
Closed Access | Times Cited: 4

Artificial intelligence in diagnosis of neural disorders using biosignals and imaging
Abdülhamit Subaşı, Tuba Nur Subasi, Öznur Özaltın
Elsevier eBooks (2024), pp. 523-560
Closed Access | Times Cited: 1

ML Applications in Healthcare
Farooq Shaik, Rajesh Yelchuri, Noman Aasif Gudur, et al.
(2024), pp. 201-220
Closed Access | Times Cited: 1

Exploring the relationship among Alzheimer’s disease, aging and cognitive scores through neuroimaging-based approach
Jinhui Sun, Jing‐Dong J. Han, Weiyang Chen
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 1

LeafNet: Design and Evaluation of a Deep CNN Model for Recognition of Diseases in Plant Leaves
R. Raja Subramanian, Nadimpalli Jhansi Syamala Devi, D. Chakra Satya Tulasi, et al.
(2024), pp. 93-110
Closed Access

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