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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:

Reporting details of neuroimaging studies on individual traits prediction: A literature survey
Andy Wai Kan Yeung, Shammi More, Jianxiao Wu, et al.
NeuroImage (2022) Vol. 256, pp. 119275-119275
Open Access | Times Cited: 30

Showing 1-25 of 30 citing articles:

Data leakage inflates prediction performance in connectome-based machine learning models
Matthew Rosenblatt, Link Tejavibulya, Rongtao Jiang, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 31
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: 27
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
Decoding individual differences in self-prioritization from the resting-state functional connectome
Yongfa Zhang, Fei Wang, Jie Sui
NeuroImage (2023) Vol. 276, pp. 120205-120205
Open Access | Times Cited: 14
Network and state specificity in connectivity‐based predictions of individual behavior
Nevena Kraljević, Robert Langner, V. Küppers, et al.
Human Brain Mapping (2024) Vol. 45, Iss. 8
Open Access | Times Cited: 5
Using effective connectivity-based predictive modeling to predict MDD scale scores from multisite rs-fMRI data
Peishan Dai, Zhuang He, Jialin Luo, et al.
Journal of Neuroscience Methods (2025) Vol. 417, pp. 110406-110406
Closed Access
Transdiagnostic Connectome‐Based Prediction of Response Inhibition
Qiuyu Lv, Xuanyi Wang, Ning Kang, et al.
Human Brain Mapping (2025) Vol. 46, Iss. 3
Open Access
Assessing neurocognitive maturation in early adolescence based on baby and adult functional brain landscapes
Omid Kardan, Natasha N. Jones, Muriah D. Wheelock, et al.
Developmental Cognitive Neuroscience (2025) Vol. 73, pp. 101543-101543
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
Multimodal Data Integration Advances Longitudinal Prediction of the Naturalistic Course of Depression and Reveals a Multimodal Signature of Remission During 2-Year Follow-up
Philippe C. Habets, Rajat M. Thomas, Yuri Milaneschi, et al.
Biological Psychiatry (2023) Vol. 94, Iss. 12, pp. 948-958
Open Access | Times Cited: 12
Multimodal Prediction of 3- and 12-Month Outcomes in ICU Patients with Acute Disorders of Consciousness
Moshgan Amiri, Federico Raimondo, Patrick M. Fisher, et al.
Neurocritical Care (2023) Vol. 40, Iss. 2, pp. 718-733
Open Access | Times Cited: 12
Power and reproducibility in the external validation of brain-phenotype predictions
Matthew Rosenblatt, Link Tejavibulya, Huili Sun, et al.
Nature Human Behaviour (2024) Vol. 8, Iss. 10, pp. 2018-2033
Closed Access | Times Cited: 3
Cross-cohort replicability and generalizability of connectivity-based psychometric prediction patterns
Jianxiao Wu, Jingwei Li, Simon B. Eickhoff, et al.
NeuroImage (2022) Vol. 262, pp. 119569-119569
Open Access | Times Cited: 15
Brain-phenotype predictions can survive across diverse real-world data
Brendan Adkinson, Matthew Rosenblatt, Javid Dadashkarimi, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 2
Multivariate resting-state functional connectomes predict and characterize obesity phenotypes
Jijun Wang, Debo Dong, Yong Liu, et al.
Cerebral Cortex (2023) Vol. 33, Iss. 13, pp. 8368-8381
Open Access | Times Cited: 6
PPA: Principal parcellation analysis for brain connectomes and multiple traits
Rongjie Liu, Meng Li, David B. Dunson
NeuroImage (2023) Vol. 276, pp. 120214-120214
Open Access | Times Cited: 6
Neuroimaging profiles of the negative affective network predict anxiety severity in patients with chronic insomnia disorder: A machine learning study
Hao Xu, Zeyang Dou, Yucai Luo, et al.
Journal of Affective Disorders (2023) Vol. 340, pp. 542-550
Closed Access | Times Cited: 5
Connectome-based prediction modeling of cognitive control using functional and structural connectivity
Qiuyu Lv, Xuanyi Wang, Xiang Wang, et al.
Brain and Cognition (2024) Vol. 181, pp. 106221-106221
Closed Access | Times Cited: 1
Brain-phenotype predictions of language and executive function can survive across diverse real-world data: Dataset shifts in developmental populations
Brendan Adkinson, Matthew Rosenblatt, Javid Dadashkarimi, et al.
Developmental Cognitive Neuroscience (2024) Vol. 70, pp. 101464-101464
Open Access | Times Cited: 1
The Transition from Homogeneous to Heterogeneous Machine Learning in Neuropsychiatric Research
Qingyu Zhao, Kate B. Nooner, Susan F. Tapert, et al.
Biological Psychiatry Global Open Science (2024) Vol. 5, Iss. 1, pp. 100397-100397
Open Access | Times Cited: 1
Power and reproducibility in the external validation of brain-phenotype predictions
Matthew Rosenblatt, Link Tejavibulya, Chris C. Camp, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 3
The effects of data leakage on connectome-based machine learning models
Matthew Rosenblatt, Link Tejavibulya, Rongtao Jiang, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 2
Task-guided Generative Adversarial Networks for Synthesizing and Augmenting Structural Connectivity Matrices for Connectivity-Based Prediction
Tatsuya Yamamoto, Tomoki Sugiura, Tomoyuki Hiroyasu, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Low-dimensional representation of fMRI disentangles temporal contributions of EEG-determined vigilance from other global effects
Haatef Pourmotabbed, Achyuth Vivek, Caroline G. Martin, et al.
(2024), pp. 52-52
Closed Access
Assessing neurocognitive maturation in early adolescence based on baby and adult functional brain landscapes
Omid Kardan, Natasha N. Jones, Muriah D. Wheelock, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
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