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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:

Within node connectivity changes, not simply edge changes, influence graph theory measures in functional connectivity studies of the brain
Wenjing Luo, Abigail S. Greene, R. Todd Constable
NeuroImage (2021) Vol. 240, pp. 118332-118332
Open Access | Times Cited: 24

Showing 24 citing articles:

Identifying canonical and replicable multi‐scale intrinsic connectivity networks in 100k+ resting‐state fMRI datasets
Armin Iraji, Zening Fu, Ashkan Faghiri, et al.
Human Brain Mapping (2023) Vol. 44, Iss. 17, pp. 5729-5748
Open Access | Times Cited: 31
FLPK-BiSeNet: Federated Learning Based on Priori Knowledge and Bilateral Segmentation Network for Image Edge Extraction
Lin Teng, Yulong Qiao, Muhammad Shafiq, et al.
IEEE Transactions on Network and Service Management (2023) Vol. 20, Iss. 2, pp. 1529-1542
Closed Access | Times Cited: 20
Analysis of functional connectivity using machine learning and deep learning in different data modalities from individuals with schizophrenia
Caroline L. Alves, Thaise G. L. de O. Toutain, Joel Augusto Moura Porto, et al.
Journal of Neural Engineering (2023) Vol. 20, Iss. 5, pp. 056025-056025
Open Access | Times Cited: 14
Connectome-based machine learning models are vulnerable to subtle data manipulations
Matthew Rosenblatt, Raimundo Rodriguez, Margaret L. Westwater, et al.
Patterns (2023) Vol. 4, Iss. 7, pp. 100756-100756
Open Access | Times Cited: 13
A neuroimaging study of brain activity alterations in treatment-resistant depression after a dual target accelerated transcranial magnetic stimulation
Jiaoying Liu, Yanping Shu, Gang Wu, et al.
Frontiers in Psychiatry (2024) Vol. 14
Open Access | Times Cited: 4
Anti-damage ability of biological plausible spiking neural network with synaptic time delay based on speech recognition under random attack
Lei Guo, Weihang Ding, Youxi Wu, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 144, pp. 110061-110061
Closed Access
Evaluation of the anti-disturbance capability of fMRI-based spiking neural network based on speech recognition
Lei Guo, Chang Ming Li, Youxi Wu, et al.
Applied Soft Computing (2025), pp. 113069-113069
Closed Access
Canonical and Replicable Multi-Scale Intrinsic Connectivity Networks in 100k+ Resting-State fMRI Datasets
Armin Iraji, Zening Fu, Ashkan Faghiri, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access | Times Cited: 13
Distinct alterations in white matter properties and organization related to maternal treatment initiation in neonates exposed to HIV but uninfected
Ndivhuwo Magondo, Ernesta M. Meintjes, Fleur L. Warton, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 2
Addressing inconsistency in functional neuroimaging: A replicable data-driven multi-scale functional atlas for canonical brain networks
Kyle M. Jensen, Jessica A. Turner, Vince D. Calhoun, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 2
Altered topological properties of functional brain networks in patients with first episode, late-life depression before and after antidepressant treatment
Chaomeng Liu, Li Li, Weigang Pan, et al.
Frontiers in Aging Neuroscience (2023) Vol. 15
Open Access | Times Cited: 4
Future Directions for Chemosensory Connectomes: Best Practices and Specific Challenges
Maria G. Veldhuizen, Cinzia Cecchetto, Alexander Wieck Fjældstad, et al.
Frontiers in Systems Neuroscience (2022) Vol. 16
Open Access | Times Cited: 6
Brain‐wide network analysis of resting‐state neuromagnetic data
Tetsuo Kida, Emi Tanaka, Ryusuke Kakigi, et al.
Human Brain Mapping (2023) Vol. 44, Iss. 9, pp. 3519-3540
Open Access | Times Cited: 3
Cell Production System Design: A Literature Review
Javid Ghahremani-Nahr, Mehrnaz Bathaee, Ali Mazloumzadeh, et al.
International Journal of Innovation in Management Economics and Social Sciences (2021) Vol. 1, Iss. 1, pp. 16-44
Open Access | Times Cited: 7
Contribution of graph theory to the understanding of social dynamics
Alfredo Javier Pérez Gamboa
AWARI (2023) Vol. 4
Open Access | Times Cited: 2
Inside information: Systematic within-node functional connectivity changes observed across tasks or groups
Wenjing Luo, R. Todd Constable
NeuroImage (2021) Vol. 247, pp. 118792-118792
Open Access | Times Cited: 5
Connectome-based machine learning models are vulnerable to subtle data manipulations
Matthew Rosenblatt, Raimundo Rodriguez, Margaret L. Westwater, et al.
(2021)
Closed Access | Times Cited: 5
Testing the Tests: Using Connectome-Based Predictive Models to Reveal the Systems Standardized Tests and Clinical Symptoms Are Reflecting
Anja Samardzija, Xilin Shen, Wenjing Luo, et al.
(2024)
Open Access
Functional Brain Network Disruptions in Parkinson’s Disease: Insights from Information Theory and Machine Learning
Ömer Akgüller, Mehmet Ali Balcı, Gabriela Cioca
Diagnostics (2024) Vol. 14, Iss. 23, pp. 2728-2728
Open Access
APPLICATIONS OF GRAPH THEORY IN BIOLOGY AND CONSTRUCTION
N. B. Pushpa, Dhananjayamurthy B.V.
INTERNATIONAL JOURNAL OF MATHEMATICS AND COMPUTER RESEARCH (2023) Vol. 11, Iss. 07
Open Access
On the application of Machine Learning and Complex Networks to Neuroscience
Caroline L. Alves
(2023)
Open Access
Exploring Gender Differences Based on Functional Magnetic Resonance Images by Deep Learning and Gradient-weighted Class Activation Mapping
Jie Bin Luo, Chao Ji, Yan Jiang Wang, et al.
2021 14th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI) (2023), pp. 1-6
Closed Access
Application of machine learning and complex network measures to an EEG dataset from DMT experiments
Caroline L. Alves, Thaise G. L. de O. Toutain, Joel Augusto Moura Porto, et al.
medRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access
Inside Information: Systematic within-node connectivity changes observed across tasks or groups
Wenjing Luo, R. Todd Constable
bioRxiv (Cold Spring Harbor Laboratory) (2021)
Open Access
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