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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:

A small number of abnormal brain connections predicts adult autism spectrum disorder
Noriaki Yahata, Jun Morimoto, Ryuichiro Hashimoto, et al.
Nature Communications (2016) Vol. 7, Iss. 1
Open Access | Times Cited: 292

Showing 1-25 of 292 citing articles:

Building better biomarkers: brain models in translational neuroimaging
Choong‐Wan Woo, Luke J. Chang, Martin A. Lindquist, et al.
Nature Neuroscience (2017) Vol. 20, Iss. 3, pp. 365-377
Open Access | Times Cited: 957
Machine learning in mental health: a scoping review of methods and applications
Adrian Shatte, Delyse Hutchinson, Samantha Teague
Psychological Medicine (2019) Vol. 49, Iss. 09, pp. 1426-1448
Open Access | Times Cited: 684
Building a Science of Individual Differences from fMRI
Julien Dubois, Ralph Adolphs
Trends in Cognitive Sciences (2016) Vol. 20, Iss. 6, pp. 425-443
Open Access | Times Cited: 658
Cross-validation failure: Small sample sizes lead to large error bars
Gaël Varoquaux
NeuroImage (2017) Vol. 180, pp. 68-77
Open Access | Times Cited: 587
Resting state fMRI: A review on methods in resting state connectivity analysis and resting state networks
K. A. Smitha, K Akhil Raja, KM Arun, et al.
The Neuroradiology Journal (2017) Vol. 30, Iss. 4, pp. 305-317
Open Access | Times Cited: 553
Atypical functional connectome hierarchy in autism
Seok‐Jun Hong, Reinder Vos de Wael, Richard A. I. Bethlehem, et al.
Nature Communications (2019) Vol. 10, Iss. 1
Open Access | Times Cited: 440
Neuroimaging-based Individualized Prediction of Cognition and Behavior for Mental Disorders and Health: Methods and Promises
Jing Sui, Rongtao Jiang, Juan Bustillo, et al.
Biological Psychiatry (2020) Vol. 88, Iss. 11, pp. 818-828
Open Access | Times Cited: 268
Advances in fMRI Real-Time Neurofeedback
Takeo Watanabe, Yuka Sasaki, Kazuhisa Shibata, et al.
Trends in Cognitive Sciences (2017) Vol. 21, Iss. 12, pp. 997-1010
Open Access | Times Cited: 236
Deep neural networks in psychiatry
Daniel Durstewitz, Georgia Koppe, Andreas Meyer‐Lindenberg
Molecular Psychiatry (2019) Vol. 24, Iss. 11, pp. 1583-1598
Open Access | Times Cited: 234
Harmonization of resting-state functional MRI data across multiple imaging sites via the separation of site differences into sampling bias and measurement bias
Ayumu Yamashita, Noriaki Yahata, Takashi Itahashi, et al.
PLoS Biology (2019) Vol. 17, Iss. 4, pp. e3000042-e3000042
Open Access | Times Cited: 164
Deep learning for small and big data in psychiatry
Georgia Koppe, Andreas Meyer‐Lindenberg, Daniel Durstewitz
Neuropsychopharmacology (2020) Vol. 46, Iss. 1, pp. 176-190
Open Access | Times Cited: 161
Machine learning (ML) for the diagnosis of autism spectrum disorder (ASD) using brain imaging
H. Selçuk Noğay, Hojjat Adeli
Reviews in the Neurosciences (2020) Vol. 31, Iss. 8, pp. 825-841
Closed Access | Times Cited: 155
Toward a unified framework for interpreting machine-learning models in neuroimaging
Lada Kohoutová, Juyeon Heo, Sungmin Cha, et al.
Nature Protocols (2020) Vol. 15, Iss. 4, pp. 1399-1435
Open Access | Times Cited: 144
Toward Neurosubtypes in Autism
Seok‐Jun Hong, Joshua T Vogelstein, Alessandro Gozzi, et al.
Biological Psychiatry (2020) Vol. 88, Iss. 1, pp. 111-128
Open Access | Times Cited: 141
Classification of Brain Disorders in rs-fMRI via Local-to-Global Graph Neural Networks
Hao Zhang, Ran Song, Liping Wang, et al.
IEEE Transactions on Medical Imaging (2022) Vol. 42, Iss. 2, pp. 444-455
Closed Access | Times Cited: 88
Molecular and network-level mechanisms explaining individual differences in autism spectrum disorder
A. Buch, Petra E. Vértes, Jakob Seidlitz, et al.
Nature Neuroscience (2023) Vol. 26, Iss. 4, pp. 650-663
Open Access | Times Cited: 81
rs-fMRI and machine learning for ASD diagnosis: a systematic review and meta-analysis
Caio Pinheiro Santana, Emerson Carvalho, Igor Duarte Rodrigues, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 80
BrainGB: A Benchmark for Brain Network Analysis With Graph Neural Networks
Hejie Cui, Wei Dai, Yanqiao Zhu, et al.
IEEE Transactions on Medical Imaging (2022) Vol. 42, Iss. 2, pp. 493-506
Open Access | Times Cited: 77
Perspective of artificial intelligence in healthcare data management: A journey towards precision medicine
Nancy Sanjay Gupta, Pravir Kumar
Computers in Biology and Medicine (2023) Vol. 162, pp. 107051-107051
Closed Access | Times Cited: 68
The foundation and architecture of precision medicine in neurology and psychiatry
Harald Hampel, Peng Gao, Jeffrey L. Cummings, et al.
Trends in Neurosciences (2023) Vol. 46, Iss. 3, pp. 176-198
Open Access | Times Cited: 67
Diagnosing Autism Spectrum Disorder from Brain Resting-State Functional Connectivity Patterns Using a Deep Neural Network with a Novel Feature Selection Method
Xinyu Guo, Kelli C. Dominick, Ali A. Minai, et al.
Frontiers in Neuroscience (2017) Vol. 11
Open Access | Times Cited: 163
Progress and roadblocks in the search for brain-based biomarkers of autism and attention-deficit/hyperactivity disorder
Lucina Q. Uddin, Dina R. Dajani, Willa I. Voorhies, et al.
Translational Psychiatry (2017) Vol. 7, Iss. 8, pp. e1218-e1218
Open Access | Times Cited: 160
Brain network dynamics in high-functioning individuals with autism
Takamitsu Watanabe, Geraint Rees
Nature Communications (2017) Vol. 8, Iss. 1
Open Access | Times Cited: 143
Decreased Brain pH as a Shared Endophenotype of Psychiatric Disorders
Hideo Hagihara, Vibeke S. Catts, Yuta Katayama, et al.
Neuropsychopharmacology (2017) Vol. 43, Iss. 3, pp. 459-468
Open Access | Times Cited: 120
Resting-State Functional Connectivity-Based Biomarkers and Functional MRI-Based Neurofeedback for Psychiatric Disorders: A Challenge for Developing Theranostic Biomarkers
Takashi Yamada, Ryuichiro Hashimoto, Noriaki Yahata, et al.
The International Journal of Neuropsychopharmacology (2017) Vol. 20, Iss. 10, pp. 769-781
Open Access | Times Cited: 120
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