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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:

The Prediction of Brain Activity from Connectivity: Advances and Applications
Michal Bernstein‐Eliav, Ido Tavor
The Neuroscientist (2022) Vol. 30, Iss. 3, pp. 367-377
Open Access | Times Cited: 23

Showing 23 citing articles:

Interfacing with the Brain: How Nanotechnology Can Contribute
Abdullah Ahmed Ali Ahmed, Núria Alegret, Bethany Almeida, et al.
ACS Nano (2025)
Open Access
Bird’s Eye View of Artificial Intelligence in Neuroscience
Ming Zhou, Emily Lin, Allen Q. Ye, et al.
AI in neuroscience. (2025) Vol. 1, Iss. 1, pp. 16-41
Closed Access
Sequence of episodic memory-related behavioral and brain-imaging abnormalities in type 2 diabetes
Bo Hu, Ying Yu, Xiaofeng Yu, et al.
Nutrition and Diabetes (2025) Vol. 15, Iss. 1
Open Access
Characterizing the discriminability of visual categorical information in strongly connected voxels
Jon Walbrin, Paul E. Downing, Filipa Dourado Sotero, et al.
Neuropsychologia (2024) Vol. 195, pp. 108815-108815
Closed Access | Times Cited: 3
Zero-Shot Learning of Individualized Task Contrast Prediction from Resting-State Functional Connectomes
Minh-Tien Nguyen, Gia H. Ngo, Mert R. Sabuncu
Lecture notes in computer science (2024), pp. 12-22
Closed Access | Times Cited: 2
Identifying the hierarchical emotional areas in the human brain through information fusion
Zhongyu Huang, Changde Du, Chaozhuo Li, et al.
Information Fusion (2024) Vol. 113, pp. 102613-102613
Open Access | Times Cited: 2
Enhanced diversity on connector hubs following sleep deprivation: evidence from diffusion and functional magnetic resonance imaging
Yun Tian, Xue-Rui Peng, Zihan Tang, et al.
NeuroImage (2024) Vol. 299, pp. 120837-120837
Open Access | Times Cited: 2
Generalizing prediction of task-evoked brain activity across datasets and populations
Niv Tik, Shachar Gal, Asaf Madar, et al.
NeuroImage (2023) Vol. 276, pp. 120213-120213
Open Access | Times Cited: 6
Predicting an individual's cerebellar activity from functional connectivity fingerprints
Vaibhav Tripathi, David C. Somers
NeuroImage (2023) Vol. 281, pp. 120360-120360
Open Access | Times Cited: 5
Predicting high-level visual areas in the absence of task fMRI
M. Fiona Molloy, Zeynep M. Saygin, David E. Osher
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 1
Impact of data processing varieties on DCM estimates of effective connectivity from task‐fMRI
Shufei Zhang, Kyesam Jung, Robert Langner, et al.
Human Brain Mapping (2024) Vol. 45, Iss. 8
Open Access | Times Cited: 1
Application of omics-based biomarkers in substance use disorders
Longtao Yang, Lijie Zhang, Huiting Zhang, et al.
Meta-Radiology (2023) Vol. 1, Iss. 1, pp. 100008-100008
Open Access | Times Cited: 3
Increasing the reliability of functional connectivity by predicting long-scan functional connectivity based on short-scan functional connectivity: model exploration, explanation, validation, and application
Bo Hu, Ying Yu, Yuting Li, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 2
Continuous structural neuroplasticity during motor learning - a diffusion MRI study
Naama Friedman, Cfir Malovani, Inbar Perets, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Predicting task-related brain activity from resting-state brain dynamics with fMRI Transformer
Junbeom Kwon, Jungwoo Seo, Hee‐Hwan Wang, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
TS-AI: A deep learning pipeline for multimodal subject-specific parcellation with task contrasts synthesis
Chengyi Li, Yuheng Lu, Yu Shan, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Network modeling: The explanatory power of activity flow models of brain function
Michael W. Cole
Elsevier eBooks (2024), pp. 81-117
Closed Access
TS-AI: A deep learning pipeline for multimodal subject-specific parcellation with task contrasts synthesis
Chengyi Li, Yuheng Lu, Shan Yu, et al.
Medical Image Analysis (2024) Vol. 97, pp. 103297-103297
Open Access
Large-scale meta-analyses and network analyses of neural substrates underlying human escalated aggression
Li Wang, Ting Li, Ruolei Gu, et al.
NeuroImage (2024) Vol. 299, pp. 120824-120824
Open Access
Rest2Task: Modeling task-specific components in resting-state functional connectivity and applications
Jinwei Lang, Lizhuang Yang, Hai Li
Brain Research (2024) Vol. 1845, pp. 149265-149265
Closed Access
Modulation of cerebellar-cortical connectivity induced by modafinil and its relationship with receptor and transporter expression
Stefano Delli Pizzi, Federica Tomaiuolo, Antonio Ferretti, et al.
Biological Psychiatry Cognitive Neuroscience and Neuroimaging (2024) Vol. 10, Iss. 3, pp. 304-313
Open Access
Editorial: Novel perspectives and improvements in fMRI functional connectivity analysis methods used to investigate brain networks and cognitive mechanisms in humans
Mete Özay
Frontiers in Neuroscience (2023) Vol. 17
Open Access
Parametric identification of flat stochastic systems for effective connectivity characterization
Hana Baili
IFAC Journal of Systems and Control (2023) Vol. 25, pp. 100223-100223
Open Access
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