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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:

Deep learning encodes robust discriminative neuroimaging representations to outperform standard machine learning
Anees Abrol, Zening Fu, Mustafa S. Salman, et al.
Nature Communications (2021) Vol. 12, Iss. 1
Open Access | Times Cited: 163

Showing 1-25 of 163 citing articles:

Deep learning-based brain age prediction in normal aging and dementia
Jeyeon Lee, Brian J. Burkett, Hoon‐Ki Min, et al.
Nature Aging (2022) Vol. 2, Iss. 5, pp. 412-424
Open Access | Times Cited: 122
Deep neural networks learn general and clinically relevant representations of the ageing brain
Esten H. Leonardsen, Han Peng, Tobias Kaufmann, et al.
NeuroImage (2022) Vol. 256, pp. 119210-119210
Open Access | Times Cited: 99
Modern views of machine learning for precision psychiatry
Zhe Chen, Prathamesh Kulkarni, Isaac R. Galatzer‐Levy, et al.
Patterns (2022) Vol. 3, Iss. 11, pp. 100602-100602
Open Access | Times Cited: 86
Applications of generative adversarial networks in neuroimaging and clinical neuroscience
Rongguang Wang, Vishnu Bashyam, Zhijian Yang, et al.
NeuroImage (2023) Vol. 269, pp. 119898-119898
Open Access | Times Cited: 56
Replicable brain–phenotype associations require large-scale neuroimaging data
Shu Liu, Abdel Abdellaoui, Karin J. H. Verweij, et al.
Nature Human Behaviour (2023) Vol. 7, Iss. 8, pp. 1344-1356
Closed Access | Times Cited: 42
Can artificial intelligence be the future solution to the enormous challenges and suffering caused by Schizophrenia?
Shijie Jiang, Qiyu Jia, Zhenlei Peng, et al.
Schizophrenia (2025) Vol. 11, Iss. 1
Open Access | Times Cited: 2
A dynamic graph convolutional neural network framework reveals new insights into connectome dysfunctions in ADHD
Kanhao Zhao, Boris Duka, Hua Xie, et al.
NeuroImage (2021) Vol. 246, pp. 118774-118774
Open Access | Times Cited: 94
Machine learning prediction of cognition from functional connectivity: Are feature weights reliable?
Ye Tian, Andrew Zalesky
NeuroImage (2021) Vol. 245, pp. 118648-118648
Open Access | Times Cited: 89
Clinical impact and quality of randomized controlled trials involving interventions evaluating artificial intelligence prediction tools: a systematic review
Qian Zhou, Zhihang Chen, Yi-heng Cao, et al.
npj Digital Medicine (2021) Vol. 4, Iss. 1
Open Access | Times Cited: 83
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: 61
Deep Learning in Neuroimaging: Promises and challenges
Weizheng Yan, Gang Qu, Wenxing Hu, et al.
IEEE Signal Processing Magazine (2022) Vol. 39, Iss. 2, pp. 87-98
Open Access | Times Cited: 50
On the prediction of human intelligence from neuroimaging: A systematic review of methods and reporting
Bruno Hebling Vieira, Gustavo Santo Pedro Pamplona, Karim Fachinello, et al.
Intelligence (2022) Vol. 93, pp. 101654-101654
Open Access | Times Cited: 47
Relationship between prediction accuracy and feature importance reliability: An empirical and theoretical study
Jianzhong Chen, Leon Qi Rong Ooi, Trevor Wei Kiat Tan, et al.
NeuroImage (2023) Vol. 274, pp. 120115-120115
Open Access | Times Cited: 32
Performance reserves in brain-imaging-based phenotype prediction
Marc‐Andre Schulz, Danilo Bzdok, Stefan Haufe, et al.
Cell Reports (2023) Vol. 43, Iss. 1, pp. 113597-113597
Open Access | Times Cited: 26
A Survey of Internet of Things and Cyber-Physical Systems: Standards, Algorithms, Applications, Security, Challenges, and Future Directions
Kwok Tai Chui, Brij B. Gupta, Jiaqi Liu, et al.
Information (2023) Vol. 14, Iss. 7, pp. 388-388
Open Access | Times Cited: 24
Data-centric artificial olfactory system based on the eigengraph
Seung-Hyun Sung, Jun Min Suh, Yun Ji Hwang, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 11
Advances and challenges in neuroimaging-based pain biomarkers
Libo Zhang, Yuxin Chen, Zhenjiang Li, et al.
Cell Reports Medicine (2024) Vol. 5, Iss. 10, pp. 101784-101784
Open Access | Times Cited: 9
Mapping relationships among schizophrenia, bipolar and schizoaffective disorders: A deep classification and clustering framework using fMRI time series
Weizheng Yan, Min Zhao, Zening Fu, et al.
Schizophrenia Research (2021) Vol. 245, pp. 141-150
Open Access | Times Cited: 43
Brain imaging-based machine learning in autism spectrum disorder: methods and applications
Ming Xu, Vince D. Calhoun, Rongtao Jiang, et al.
Journal of Neuroscience Methods (2021) Vol. 361, pp. 109271-109271
Open Access | Times Cited: 43
Deep Relation Learning for Regression and Its Application to Brain Age Estimation
Sheng He, Yanfang Feng, P. Ellen Grant, et al.
IEEE Transactions on Medical Imaging (2022) Vol. 41, Iss. 9, pp. 2304-2317
Open Access | Times Cited: 32
Brain age prediction using the graph neural network based on resting-state functional MRI in Alzheimer's disease
Jingjing Gao, Jiaxin Liu, Yuhang Xu, et al.
Frontiers in Neuroscience (2023) Vol. 17
Open Access | Times Cited: 18
A perspective on brain-age estimation and its clinical promise
Christian Gaser, Polona Kalc, James H. Cole
Nature Computational Science (2024) Vol. 4, Iss. 10, pp. 744-751
Closed Access | Times Cited: 7
Volume of β-Bursts, But Not Their Rate, Predicts Successful Response Inhibition
Nadja Enz, Kathy Ruddy, Laura M. Rueda‐Delgado, et al.
Journal of Neuroscience (2021) Vol. 41, Iss. 23, pp. 5069-5079
Open Access | Times Cited: 38
Machine Learning Applications for Differentiation of Glioma from Brain Metastasis—A Systematic Review
Leon Jekel, Waverly Rose Brim, Marc von Reppert, et al.
Cancers (2022) Vol. 14, Iss. 6, pp. 1369-1369
Open Access | Times Cited: 27
Feature Robustness and Sex Differences in Medical Imaging: A Case Study in MRI-Based Alzheimer’s Disease Detection
Eike Petersen, Aasa Feragen, Maria Luise da Costa Zemsch, et al.
Lecture notes in computer science (2022), pp. 88-98
Closed Access | Times Cited: 25
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