Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

DSNN: A DenseNet-Based SNN for Explainable Brain Disease Classification
Ziquan Zhu, Siyuan Lu, Shuihua Wang‎, et al.
Frontiers in Systems Neuroscience (2022) Vol. 16
Open Access | Times Cited: 23

Showing 23 citing articles:

A comprehensive analysis of dermoscopy images for melanoma detection via deep CNN features
Himanshu K. Gajera, Deepak Ranjan Nayak, Mukesh A. Zaveri
Biomedical Signal Processing and Control (2022) Vol. 79, pp. 104186-104186
Closed Access | Times Cited: 76
Variational Autoencoders-BasedSelf-Learning Model for Tumor Identification and Impact Analysis from 2-D MRI Images
Parvathaneni Naga Srinivasu, T. Balamurali Krishna, Shakeel Ahmed, et al.
Journal of Healthcare Engineering (2023) Vol. 2023, Iss. 1
Open Access | Times Cited: 26
Research progress of natural products and their derivatives against Alzheimer’s disease
Jinying Liu, Hongyan Guo, Zhe‐Shan Quan, et al.
Journal of Enzyme Inhibition and Medicinal Chemistry (2023) Vol. 38, Iss. 1
Open Access | Times Cited: 21
Integrating convolutional neural networks, kNN, and Bayesian optimization for efficient diagnosis of Alzheimer's disease in magnetic resonance images
Salim Lahmiri
Biomedical Signal Processing and Control (2022) Vol. 80, pp. 104375-104375
Closed Access | Times Cited: 35
MFI-Net: multi-level feature invertible network image concealment technique
Dapeng Cheng, Minghui Zhu, Bo Yang, et al.
PeerJ Computer Science (2025) Vol. 11, pp. e2668-e2668
Open Access
Electroencephalogram (EEG) Based Fuzzy Logic and Spiking Neural Networks (FLSNN) for Advanced Multiple Neurological Disorder Diagnosis
Shraddha Jain, Ruchi Srivastava
Brain Topography (2025) Vol. 38, Iss. 3
Closed Access
Performance enhancement of MRI-based brain tumor classification using suitable segmentation method and deep learning-based ensemble algorithm
Gopal S. Tandel, Ashish Tiwari, O. G. Kakde
Biomedical Signal Processing and Control (2022) Vol. 78, pp. 104018-104018
Closed Access | Times Cited: 25
Applicable artificial intelligence for brain disease: A survey
Chenxi Huang, Jian Wang, Shuihua Wang‎, et al.
Neurocomputing (2022) Vol. 504, pp. 223-239
Open Access | Times Cited: 22
P-hydroxybenzaldehyde protects Caenorhabditis elegans from oxidative stress and β-amyloid toxicity
Xingzhi Yu, Jie Tao, Tian Xiao, et al.
Frontiers in Aging Neuroscience (2024) Vol. 16
Open Access | Times Cited: 3
Deep learning–based radiomic nomograms for predicting Ki67 expression in prostate cancer
Shuitang Deng, Jingfeng Ding, Hui Wang, et al.
BMC Cancer (2023) Vol. 23, Iss. 1
Open Access | Times Cited: 9
A feature-aware multimodal framework with auto-fusion for Alzheimer’s disease diagnosis
Meiwei Zhang, Qiushi Cui, Yang Lü, et al.
Computers in Biology and Medicine (2024) Vol. 178, pp. 108740-108740
Closed Access | Times Cited: 2
Adaptive Tensor-Based Feature Extraction for Pupil Segmentation in Cataract Surgery
Binh Duong Giap, Karthik Srinivasan, Ossama Mahmoud, et al.
IEEE Journal of Biomedical and Health Informatics (2023) Vol. 28, Iss. 3, pp. 1599-1610
Closed Access | Times Cited: 6
A multimodal learning machine framework for Alzheimer’s disease diagnosis based on neuropsychological and neuroimaging data
Meiwei Zhang, Qiushi Cui, Yang Lü, et al.
Computers & Industrial Engineering (2024), pp. 110625-110625
Closed Access | Times Cited: 1
Explainable Machine Learning Models for Brain Diseases: Insights from a Systematic Review
Mirko Jerber Rodríguez Mallma, Luis Zuloaga-Rotta, Rubén Borja-Rosales, et al.
Neurology International (2024) Vol. 16, Iss. 6, pp. 1285-1307
Open Access | Times Cited: 1
Survival and grade of the glioma prediction using transfer learning
S. Rubio, María Teresa Garcí­a-Ordás, Óscar García-Olalla Olivera, et al.
PeerJ Computer Science (2023) Vol. 9, pp. e1723-e1723
Open Access | Times Cited: 3
Enhancing Ischemic Brain Stroke Detection on CT Images: A Investigation of Transfer Learning Techniques of DenseNet-201 for Neuroimaging Analysis
Chathura D. Kulathilake, Jeevani Udupihille, Atsushi Senoo
(2024), pp. 504-509
Closed Access
Waste Classification using Edge based Multilayer White Shark Dense Net-Spiking Neural Network from Urban Areas
Chitra Kiran. N, Ruchira Rawat, T. Madhavi, et al.
(2024), pp. 1738-1744
Closed Access
Modern Forms and New Challenges in Medical Sensors and Body Area Networks
Yudong Zhang, J. M. Górriz, Shuihua Wang‎
Journal of Sensor and Actuator Networks (2022) Vol. 11, Iss. 4, pp. 79-79
Open Access | Times Cited: 3
A Novel Classification Approach for Retinal Disease Using Improved Gannet Optimization‐Based Capsule DenseNet
S. Venkatesan, M. Kempanna, J Nagaraja, et al.
International Journal of Imaging Systems and Technology (2024) Vol. 34, Iss. 5
Closed Access
A Dual-Branch Lightweight Model for Extracting Characteristics to Classify Brain Tumors
G. Sangeetha, G. Vadivu, Sundara Raja Perumal R.
Journal of Advances in Information Technology (2024) Vol. 15, Iss. 9, pp. 1035-1046
Open Access
Active contour and texture features hybrid model for breast cancer detection from ultrasonic images
Kamakshi Rautela, Dinesh Kumar, Vijay Kumar
International Journal of Imaging Systems and Technology (2023) Vol. 33, Iss. 6, pp. 2061-2072
Closed Access | Times Cited: 1
An exploration of ventricle regions segmentation and multiclass disease detection using cardiac MRI
Subha Velappan, G. Gomathi, A. Manivanna Boopathi
International Journal of Imaging Systems and Technology (2023) Vol. 34, Iss. 1
Open Access
Empowering Intracranial Tumor Diagnosis: Deep Learning with DenseNet-256 and CNN-Based Enhanced Classification Algorithms
P. Silpa Chaitanya, Sk. Mastanbi, G. Manasa, et al.
(2023), pp. 1-7
Closed Access
Page 1

Scroll to top