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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:

Meta-matching as a simple framework to translate phenotypic predictive models from big to small data
Tong He, Lijun An, Pansheng Chen, et al.
Nature Neuroscience (2022) Vol. 25, Iss. 6, pp. 795-804
Open Access | Times Cited: 69

Showing 1-25 of 69 citing articles:

Machine learning for predicting battery capacity for electric vehicles
Jingyuan Zhao, Heping Ling, Jin Liu, et al.
eTransportation (2022) Vol. 15, pp. 100214-100214
Closed Access | Times Cited: 111
Multivariate BWAS can be replicable with moderate sample sizes
Tamás Spisák, Ulrike Bingel, Tor D. Wager
Nature (2023) Vol. 615, Iss. 7951, pp. E4-E7
Open Access | Times Cited: 106
Bias in machine learning models can be significantly mitigated by careful training: Evidence from neuroimaging studies
Rongguang Wang, Pratik Chaudhari, Christos Davatzikos
Proceedings of the National Academy of Sciences (2023) Vol. 120, Iss. 6
Open Access | Times Cited: 44
The Burden of Reliability: How Measurement Noise Limits Brain-Behaviour Predictions
Martin Gell, Simon B. Eickhoff, Amir Omidvarnia, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 43
One Size Does Not Fit All: Methodological Considerations for Brain-Based Predictive Modeling in Psychiatry
Elvisha Dhamala, B.T. Thomas Yeo, Avram J. Holmes
Biological Psychiatry (2022) Vol. 93, Iss. 8, pp. 717-728
Closed Access | Times Cited: 60
Machine learning in attention-deficit/hyperactivity disorder: new approaches toward understanding the neural mechanisms
Meng Cao, Elizabeth Martin, Xiaobo Li
Translational Psychiatry (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 28
The challenges and prospects of brain-based prediction of behaviour
Jianxiao Wu, Jingwei Li, Simon B. Eickhoff, et al.
Nature Human Behaviour (2023) Vol. 7, Iss. 8, pp. 1255-1264
Closed Access | Times Cited: 26
Functional brain networks are associated with both sex and gender in children
Elvisha Dhamala, Dani S. Bassett, B.T. Thomas Yeo, et al.
Science Advances (2024) Vol. 10, Iss. 28
Open Access | Times Cited: 11
Quality over quantity: powering neuroimaging samples in psychiatry
Carolina Makowski, Thomas E. Nichols, Anders M. Dale
Neuropsychopharmacology (2024) Vol. 50, Iss. 1, pp. 58-66
Closed Access | Times Cited: 9
Population modeling with machine learning can enhance measures of mental health
Kamalaker Dadi, Gaël Varoquaux, Josselin Houenou, et al.
GigaScience (2021) Vol. 10, Iss. 10
Open Access | Times Cited: 44
Proportional intracranial volume correction differentially biases behavioral predictions across neuroanatomical features, sexes, and development
Elvisha Dhamala, Leon Qi Rong Ooi, Jianzhong Chen, et al.
NeuroImage (2022) Vol. 260, pp. 119485-119485
Open Access | Times Cited: 32
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
Principles of intensive human neuroimaging
Soazig Guyomarc’h, Tomas Knapen, Elisha P. Merriam, et al.
Trends in Neurosciences (2024)
Closed Access | Times Cited: 6
Leveraging Machine Learning for Gaining Neurobiological and Nosological Insights in Psychiatric Research
Ji Chen, Kaustubh R. Patil, B.T. Thomas Yeo, et al.
Biological Psychiatry (2022) Vol. 93, Iss. 1, pp. 18-28
Open Access | Times Cited: 25
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
Psychiatric neuroimaging designs for individualised, cohort, and population studies
Martin Gell, Stephanie Noble, Timothy O. Laumann, et al.
Neuropsychopharmacology (2024) Vol. 50, Iss. 1, pp. 29-36
Open Access | Times Cited: 4
Stimulus Selection Influences Prediction of Individual Phenotypes in Naturalistic Conditions
Xuan Li, Simon B. Eickhoff, Susanne Weis
Human Brain Mapping (2025) Vol. 46, Iss. 3
Open Access
Machine Learning for Precision Epilepsy Surgery
Lara Jehi
Epiliepsy currents/Epilepsy currents (2023) Vol. 23, Iss. 2, pp. 78-83
Open Access | Times Cited: 11
Exploring the potential of representation and transfer learning for anatomical neuroimaging: Application to psychiatry
Benoît Dufumier, Pietro Gori, Sara Petiton, et al.
NeuroImage (2024) Vol. 296, pp. 120665-120665
Open Access | Times Cited: 4
Exploring the latent structure of behavior using the Human Connectome Project’s data
Mikkel Schöttner, Thomas A. W. Bolton, Jagruti Patel, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 10
Multilayer meta-matching: translating phenotypic prediction models from multiple datasets to small data
Pansheng Chen, Lijun An, Naren Wulan, et al.
Imaging Neuroscience (2024) Vol. 2, pp. 1-22
Open Access | Times Cited: 3
A cortical surface template for human neuroscience
Ma Feilong, Guo Jiahui, M. Ida Gobbini, et al.
Nature Methods (2024) Vol. 21, Iss. 9, pp. 1736-1742
Open Access | Times Cited: 3
How measurement noise limits the accuracy of brain-behaviour predictions
Martin Gell, Simon B. Eickhoff, Amir Omidvarnia, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 3
An atlas of trait associations with resting-state and task-evoked human brain functional organizations in the UK Biobank
Bingxin Zhao, Tengfei Li, Yujue Li, et al.
Imaging Neuroscience (2023) Vol. 1, pp. 1-23
Open Access | Times Cited: 8
Interpreting mental state decoding with deep learning models
Armin W. Thomas, Christopher Ré, Russell A. Poldrack
Trends in Cognitive Sciences (2022) Vol. 26, Iss. 11, pp. 972-986
Open Access | Times Cited: 12
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