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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:

Transdiagnostic connectome signatures from resting-state fMRI predict individual-level intellectual capacity
Xiaoyu Tong, Hua Xie, Nancy B. Carlisle, et al.
Translational Psychiatry (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 17

Showing 17 citing articles:

Machine learning and artificial intelligence in neuroscience: A primer for researchers
Fakhirah Badrulhisham, Esther Pogatzki‐Zahn, Daniel Segelcke, et al.
Brain Behavior and Immunity (2023) Vol. 115, pp. 470-479
Open Access | Times Cited: 41
Individualized fMRI connectivity defines signatures of antidepressant and placebo responses in major depression
Kanhao Zhao, Hua Xie, Gregory A. Fonzo, et al.
Molecular Psychiatry (2023) Vol. 28, Iss. 6, pp. 2490-2499
Open Access | Times Cited: 21
Generalizable and replicable brain-based predictions of cognitive functioning across common psychiatric illness
Sidhant Chopra, Elvisha Dhamala, Connor Lawhead, et al.
Science Advances (2024) Vol. 10, Iss. 45
Open Access | Times Cited: 7
Frontal long-range temporal correlations as a predictor of child’s IQ test performance using machine learning approach
Alexander Kuc
The European Physical Journal Special Topics (2025)
Closed Access
Interpretable and integrative deep learning for discovering brain-behaviour associations
Corentin Ambroise, Antoine Grigis, Josselin Houenou, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Individualized prediction of multi-domain intelligence quotient in bipolar disorder patients using resting-state functional connectivity
Xiaoyu Li, Wei Wei, Linze Qian, et al.
Brain Research Bulletin (2025), pp. 111238-111238
Open Access
Can Intelligence Affect Alcohol-, Smoking-, and Physical Activity-Related Behaviors? A Mendelian Randomization Study
Hansen Li, Xing Zhang, Xinyue Zhang, et al.
Journal of Intelligence (2023) Vol. 11, Iss. 2, pp. 29-29
Open Access | Times Cited: 8
Oxytocin enhances the triangular association among behavior, resting‐state, and task‐state functional connectivity
Haoming Zhang, Kun Chen, Jin Bao, et al.
Human Brain Mapping (2023) Vol. 44, Iss. 17, pp. 6074-6089
Open Access | Times Cited: 4
Neuro‐educational leadership: Pioneering educational leadership through neuroscience research
Yifei Zhang, Qinghua He
Future in Educational Research (2024) Vol. 2, Iss. 2, pp. 82-92
Open Access | Times Cited: 1
Reliable and generalizable brain-based predictions of cognitive functioning across common psychiatric illness
Sidhant Chopra, Elvisha Dhamala, Connor Lawhead, et al.
medRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access | Times Cited: 3
Selective inference for sparse multitask regression with applications in neuroimaging
Snigdha Panigrahi, Natasha Stewart, Chandra Sripada, et al.
The Annals of Applied Statistics (2024) Vol. 18, Iss. 1
Open Access
Reliability and predictability of phenotype information from functional connectivity in large imaging datasets.
Jessica Dafflon, Dustin Moraczewski, Eric Earl, et al.
arXiv (Cornell University) (2024)
Open Access
Methodological and legislative approaches regarding virtual reality / Artificial Intelligence as tools for interconnection between biodiversity and neuropsychiatric disorders
Mădălina Borca, Alexandru Borcă, Alin Ciobîcă, et al.
Bulletin of Integrative Psychiatry (2024) Vol. 101, Iss. 2, pp. 89-94
Open Access


Bulletin of Integrative Psychiatry (2024) Vol. 101, Iss. 2
Open Access
Prediction of individual performance and verbal intelligence scores from resting‐state fMRI in children and adolescents
Ningning He, Chao Kou
International Journal of Developmental Neuroscience (2024)
Closed Access
Predicting phenotypes of elderly from resting state fMRI
Barbara Verovnik, Stefan Hajduk, Marc M. Van Hulle
Research Square (Research Square) (2023)
Open Access
IQ Estimation Using Resting State fMRI and Regression Dynamic Causal Modeling
Zahra Sadeghi Ziazi, Hamid Soltanian‐Zadeh
(2023), pp. 386-390
Closed Access
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