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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:

Brain Network Measures for Groups of Nodes: Application to Normal Aging and Alzheimer's Disease
Subaramya Srivishagan, A. A. I. Perera, Ali Hojjat, et al.
Brain Connectivity (2020) Vol. 10, Iss. 6, pp. 316-327
Closed Access | Times Cited: 13

Showing 13 citing articles:

A deep learning framework for identifying Alzheimer's disease using fMRI-based brain network
Ruofan Wang, Qiguang He, Chunxiao Han, et al.
Frontiers in Neuroscience (2023) Vol. 17
Open Access | Times Cited: 11
Brain-wide neuronal activation and functional connectivity are modulated by prior exposure to repetitive learning episodes
Dylan J. Terstege, Isabella M. Durante, Jonathan R. Epp
Frontiers in Behavioral Neuroscience (2022) Vol. 16
Open Access | Times Cited: 11
Discriminative patterns of white matter changes in Alzheimer's
Subaramya Srivishagan, Logiraj Kumaralingam, Kokul Thanikasalam, et al.
Psychiatry Research Neuroimaging (2022) Vol. 328, pp. 111576-111576
Open Access | Times Cited: 4
Structural connectome alterations in anxious dogs: a DTI-based study
Qinyuan Chen, Yangfeng Xu, Emma Christiaen, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 2
Detection of Alzheimer’s Disease using Structural Brain Network and Convolutional Neural Network
S. Subaramya, Kokul Thanikasalam, Nagulan Ratnarajah, et al.
(2021), pp. 173-178
Closed Access | Times Cited: 4
Relationship between carotid intima‐media thickness (cIMT) and dual‐system imbalance in tobacco dependence: An rs‐fMRI research
Qiaowen Tan, Shaoke Li, Mengqian Yu, et al.
Brain and Behavior (2023) Vol. 13, Iss. 7
Open Access | Times Cited: 1
An Inverse Study of Centrality Measures for Node Groups: Application to Brain Networks
Jenusiya Jeyaseelan, Subaramya Srivishagan, Nagulan Ratnarajah
(2023), pp. 310-315
Closed Access | Times Cited: 1
Efficient Parallelization of Global Graph Measures on Multicore Shared Memory Systems
Sangeetha Mahendran, Jenusiya Jeyaseelan, Nagulan Ratnarajah
2022 Moratuwa Engineering Research Conference (MERCon) (2024), pp. 103-108
Closed Access
Brain-wide neuronal activation and functional connectivity are modulated by prior exposure to repetitive learning episodes
Dylan J. Terstege, Isabella M. Durante, Jonathan R. Epp
bioRxiv (Cold Spring Harbor Laboratory) (2021)
Open Access | Times Cited: 2
Clustering of Major White Matter Bundles using Tract-specific Geometric Curve Features
Logiraj Kumaralingam, S. Sotheeswaran, Jeyasuthan Mahadevan, et al.
(2021), pp. 506-511
Closed Access | Times Cited: 2
Graph Neural Network based Alzheimer’s Disease Classification using Structural Brain Network
S. Subaramya, Kokul Thanikasalam, Nagulan Ratnarajah, et al.
(2022), pp. 1-6
Closed Access | Times Cited: 1
TractNet: A Deep Learning Approach on 3D Curves for Segmenting White Matter Fibre Bundles
Logiraj Kumaralingam, Kokul Thanikasalam, S. Sotheeswaran, et al.
(2021), pp. 75-80
Closed Access | Times Cited: 1
Exploring Asymmetrical White Matter Abnormalities in Alzheimer’s using Deep Learning
Subaramya Srivishagan, Logiraj Kumaralingam, Nagulan Ratnarajah, et al.
2022 Moratuwa Engineering Research Conference (MERCon) (2023), pp. 113-118
Closed Access
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