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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:

Accumulation of network redundancy marks the early stage of Alzheimer's disease
Maryam Ghanbari, Guoshi Li, Li‐Ming Hsu, et al.
Human Brain Mapping (2023) Vol. 44, Iss. 8, pp. 2993-3006
Open Access | Times Cited: 16

Showing 16 citing articles:

Small vessel disease and cognitive reserve oppositely modulate global network redundancy and cognitive function: A study in middle‐to‐old aged community participants
Lei Cui, Hui Hong, Shuyue Wang, et al.
Human Brain Mapping (2024) Vol. 45, Iss. 5
Open Access | Times Cited: 5
Revealing excitation-inhibition imbalance in Alzheimer’s disease using multiscale neural model inversion of resting-state functional MRI
Guoshi Li, Li‐Ming Hsu, Ye Wu, et al.
Communications Medicine (2025) Vol. 5, Iss. 1
Open Access
Investigating dynamic brain functional redundancy as a mechanism of cognitive reserve
Julia Schwarz, Franziska Zistler, Adriana Usheva, et al.
Frontiers in Aging Neuroscience (2025) Vol. 17
Open Access
Functional redundancy of the posterior hippocampi is selectively disrupted in non-demented older adults with β-amyloid deposition
Jenna K. Blujus, Michael W. Cole, Elena K. Festa, et al.
Neuroimage Reports (2025) Vol. 5, Iss. 2, pp. 100255-100255
Closed Access
A group based network analysis for Alzheimer’s disease fMRI data
Yikun Zhou, Shuang Gao, Lingli Deng, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Reward integration in prefrontal-cortical and ventral-hippocampal nucleus accumbens inputs cooperatively modulates engagement
Eshaan S. Iyer, Peter Vitaro, Serena Wu, et al.
Nature Communications (2025) Vol. 16, Iss. 1
Open Access
Jointly constrained group sparse connectivity representation improves early diagnosis of Alzheimer’s disease on routinely acquired T1-weighted imaging-based brain network
Chuanzhen Zhu, Honglun Li, Zhiwei Song, et al.
Health Information Science and Systems (2024) Vol. 12, Iss. 1
Closed Access | Times Cited: 2
Dynamic redundancy as a mechanism to optimize collective random searches
Daniel Campos, Viçenc Méndez
Physical review. E (2024) Vol. 109, Iss. 6
Open Access | Times Cited: 2
Triple-network analysis of Alzheimer’s disease based on the energy landscape
Youjun Li, Simeng An, Tianlin Zhou, et al.
Frontiers in Neuroscience (2023) Vol. 17
Open Access | Times Cited: 4
GCAN: Generative Counterfactual Attention-Guided Network for Explainable Cognitive Decline Diagnostics Based on fMRI Functional Connectivity
Xiongri Shen, Zhenxi Song, Zhiguo Zhang
Lecture notes in computer science (2024), pp. 416-426
Closed Access | Times Cited: 1
Choosing explanation over performance: Insights from machine learning-based prediction of human intelligence from brain connectivity
Jonas A. Thiele, Joshua Faskowitz, Olaf Sporns, et al.
PNAS Nexus (2024) Vol. 3, Iss. 12
Open Access | Times Cited: 1
Investigating Gene Expression Datasets of Hippocampus Tissue to Discover Alzheimer's Disease-Associated Molecular Markers
Sneh Prabha, Mohd Sajad, Md. Imtaiyaz Hassan, et al.
Research Square (Research Square) (2024)
Open Access
Uncertainty gates redundancy in reward integration in prefrontal-cortical and ventral-hippocampal nucleus accumbens inputs to tune engagement
Eshaan S. Iyer, Peter Vitaro, Serena Wu, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Closed Access
Normalized group activations based feature extraction technique using heterogeneous data for Alzheimer’s disease classification
Karthikeyan Vaithianathan, Julian Benadit Pernabas, Latha Parthiban, et al.
PeerJ Computer Science (2024) Vol. 10, pp. e2502-e2502
Open Access
Investigating gene expression datasets of hippocampus tissue to discover Alzheimer's disease-associated molecular markers
Sneh Prabha, Mohd Sajad, Farah Anjum, et al.
Journal of Alzheimer s Disease (2024)
Open Access
Can machine learning-based predictive modelling improve our understanding of human cognition?
Jonas A. Thiele, Joshua Faskowitz, Olaf Sporns, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Closed Access | Times Cited: 1
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