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:

Deep Learning of Static and Dynamic Brain Functional Networks for Early MCI Detection
Tae‐Eui Kam, Han Zhang, Zhicheng Jiao, et al.
IEEE Transactions on Medical Imaging (2019) Vol. 39, Iss. 2, pp. 478-487
Open Access | Times Cited: 141

Showing 1-25 of 141 citing articles:

MRI Segmentation and Classification of Human Brain Using Deep Learning for Diagnosis of Alzheimer’s Disease: A Survey
Nagaraj Yamanakkanavar, Jae Young Choi, Bumshik Lee
Sensors (2020) Vol. 20, Iss. 11, pp. 3243-3243
Open Access | Times Cited: 174
Hi-GCN: A hierarchical graph convolution network for graph embedding learning of brain network and brain disorders prediction
Hao Jiang, Peng Cao, XU Ming-yi, et al.
Computers in Biology and Medicine (2020) Vol. 127, pp. 104096-104096
Closed Access | Times Cited: 154
A Mutual Multi-Scale Triplet Graph Convolutional Network for Classification of Brain Disorders Using Functional or Structural Connectivity
Dongren Yao, Jing Sui, Mingliang Wang, et al.
IEEE Transactions on Medical Imaging (2021) Vol. 40, Iss. 4, pp. 1279-1289
Open Access | Times Cited: 111
Functional magnetic resonance imaging, deep learning, and Alzheimer's disease: A systematic review
Samuel L. Warren, Ahmed A. Moustafa
Journal of Neuroimaging (2022) Vol. 33, Iss. 1, pp. 5-18
Open Access | Times Cited: 91
Early diagnosis of Alzheimer's disease based on deep learning: A systematic review
Sina Fathi, Maryam Ahmadi, Afsaneh Dehnad
Computers in Biology and Medicine (2022) Vol. 146, pp. 105634-105634
Closed Access | Times Cited: 71
BolT: Fused window transformers for fMRI time series analysis
Hasan A. Bedel, Irmak Sivgin, Onat Dalmaz, et al.
Medical Image Analysis (2023) Vol. 88, pp. 102841-102841
Open Access | Times Cited: 46
Graph Autoencoders for Embedding Learning in Brain Networks and Major Depressive Disorder Identification
Fuad Noman, Chee-Ming Ting, Hakmook Kang, et al.
IEEE Journal of Biomedical and Health Informatics (2024) Vol. 28, Iss. 3, pp. 1644-1655
Open Access | Times Cited: 16
Artificial intelligence for brain diseases: A systematic review
Alice Segato, Aldo Marzullo, Francesco Calimeri, et al.
APL Bioengineering (2020) Vol. 4, Iss. 4
Open Access | Times Cited: 122
Deep learning based pipelines for Alzheimer's disease diagnosis: A comparative study and a novel deep-ensemble method
Andrea Loddo, Sara Buttau, Cecilia Di Ruberto
Computers in Biology and Medicine (2021) Vol. 141, pp. 105032-105032
Closed Access | Times Cited: 101
Deep learning for brain disorder diagnosis based on fMRI images
Wutao Yin, Longhai Li, Fang‐Xiang Wu
Neurocomputing (2020) Vol. 469, pp. 332-345
Closed Access | Times Cited: 86
Deep learning-based classification of healthy aging controls, mild cognitive impairment and Alzheimer’s disease using fusion of MRI-PET imaging
V.P. Subramanyam Rallabandi, Krishnamoorthy Seetharaman
Biomedical Signal Processing and Control (2022) Vol. 80, pp. 104312-104312
Closed Access | Times Cited: 44
Diffusion Kernel Attention Network for Brain Disorder Classification
Jianjia Zhang, Luping Zhou, Lei Wang, et al.
IEEE Transactions on Medical Imaging (2022) Vol. 41, Iss. 10, pp. 2814-2827
Closed Access | Times Cited: 38
Brain Connectivity Based Graph Convolutional Networks and Its Application to Infant Age Prediction
Yu Li, Xin Zhang, Jingxin Nie, et al.
IEEE Transactions on Medical Imaging (2022) Vol. 41, Iss. 10, pp. 2764-2776
Open Access | Times Cited: 38
GATE: Graph CCA for Temporal Self-Supervised Learning for Label-Efficient fMRI Analysis
Liang Peng, Nan Wang, Jie Xu, et al.
IEEE Transactions on Medical Imaging (2023) Vol. 42, Iss. 2, pp. 391-402
Open Access | Times Cited: 28
Mapping Multi-Modal Brain Connectome for Brain Disorder Diagnosis via Cross-Modal Mutual Learning
Yanwu Yang, Chenfei Ye, Xutao Guo, et al.
IEEE Transactions on Medical Imaging (2023) Vol. 43, Iss. 1, pp. 108-121
Closed Access | Times Cited: 22
COVID-MobileXpert: On-Device COVID-19 Screening using Snapshots of Chest X-Ray
Xin Li, Chengyin Li, Dongxiao Zhu
arXiv (Cornell University) (2020)
Closed Access | Times Cited: 62
Identifying Early Mild Cognitive Impairment by Multi-Modality MRI-Based Deep Learning
Kang Li, Jingwan Jiang, Jianjun Huang, et al.
Frontiers in Aging Neuroscience (2020) Vol. 12
Open Access | Times Cited: 61
Multi-Hypergraph Learning-Based Brain Functional Connectivity Analysis in fMRI Data
Li Xiao, Junqi Wang, Peyman Hosseinzadeh Kassani, et al.
IEEE Transactions on Medical Imaging (2019) Vol. 39, Iss. 5, pp. 1746-1758
Open Access | Times Cited: 58
Virtual Adversarial Training-Based Deep Feature Aggregation Network From Dynamic Effective Connectivity for MCI Identification
Yang Li, Jingyu Liu, Yiqiao Jiang, et al.
IEEE Transactions on Medical Imaging (2021) Vol. 41, Iss. 1, pp. 237-251
Closed Access | Times Cited: 41
A review of the application of three-dimensional convolutional neural networks for the diagnosis of Alzheimer’s disease using neuroimaging
Xinze Xu, Lan Lin, Shen Sun, et al.
Reviews in the Neurosciences (2023) Vol. 34, Iss. 6, pp. 649-670
Closed Access | Times Cited: 20
Hierarchical Graph Convolutional Network Built by Multiscale Atlases for Brain Disorder Diagnosis Using Functional Connectivity
Mianxin Liu, Han Zhang, Feng Shi, et al.
IEEE Transactions on Neural Networks and Learning Systems (2023) Vol. 35, Iss. 11, pp. 15182-15194
Open Access | Times Cited: 17
Deep learning based mild cognitive impairment diagnosis using structure MR images
Jingwan Jiang, Kang Li, Jianjun Huang, et al.
Neuroscience Letters (2020) Vol. 730, pp. 134971-134971
Open Access | Times Cited: 47
Machine Learning Framework for Implementing Alzheimer’s Disease
Sivakani Rajayyan, Gufran Ahmad Ansari
(2020), pp. 0588-0592
Closed Access | Times Cited: 43
SD-CNN: A static-dynamic convolutional neural network for functional brain networks
Jiashuang Huang, Mingliang Wang, Hengrong Ju, et al.
Medical Image Analysis (2022) Vol. 83, pp. 102679-102679
Closed Access | Times Cited: 24
On Improved 3D-CNN-Based Binary and Multiclass Classification of Alzheimer’s Disease Using Neuroimaging Modalities and Data Augmentation Methods
Ahsan Bin Tufail, Kalim Ullah, Rehan Ali Khan, et al.
Journal of Healthcare Engineering (2022) Vol. 2022, pp. 1-14
Open Access | Times Cited: 23
Page 1 - Next Page

Scroll to top