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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:

Multimodal data revealed different neurobiological correlates of intelligence between males and females
Rongtao Jiang, Vince D. Calhoun, Yue Cui, et al.
Brain Imaging and Behavior (2019) Vol. 14, Iss. 5, pp. 1979-1993
Open Access | Times Cited: 56

Showing 1-25 of 56 citing articles:

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
Linking interindividual variability in brain structure to behaviour
Sarah Genon, Simon B. Eickhoff, Shahrzad Kharabian Masouleh
Nature reviews. Neuroscience (2022) Vol. 23, Iss. 5, pp. 307-318
Closed Access | Times Cited: 156
Task-induced brain connectivity promotes the detection of individual differences in brain-behavior relationships
Rongtao Jiang, Nianming Zuo, Judith M. Ford, et al.
NeuroImage (2019) Vol. 207, pp. 116370-116370
Open Access | Times Cited: 132
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: 91
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
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
A Neuroimaging Signature of Cognitive Aging from Whole‐Brain Functional Connectivity
Rongtao Jiang, Dustin Scheinost, Nianming Zuo, et al.
Advanced Science (2022) Vol. 9, Iss. 24
Open Access | Times Cited: 42
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
Multimodal Fusion of Brain Imaging Data: Methods and Applications
Na Luo, Weiyang Shi, Zhengyi Yang, et al.
Deleted Journal (2024) Vol. 21, Iss. 1, pp. 136-152
Open Access | Times Cited: 10
Connectome-based models can predict processing speed in older adults
Mengxia Gao, Clive H. Y. Wong, Huiyuan Huang, et al.
NeuroImage (2020) Vol. 223, pp. 117290-117290
Open Access | Times Cited: 51
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: 42
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
Brain-Based Predictions of Psychiatric Illness–Linked Behaviors Across the Sexes
Elvisha Dhamala, Leon Qi Rong Ooi, Jianzhong Chen, et al.
Biological Psychiatry (2023) Vol. 94, Iss. 6, pp. 479-491
Open Access | Times Cited: 19
Longitudinally stable, brain‐based predictive models mediate the relationships between childhood cognition and socio‐demographic, psychological and genetic factors
Narun Pat, Yue Wang, Richard Anney, et al.
Human Brain Mapping (2022) Vol. 43, Iss. 18, pp. 5520-5542
Open Access | Times Cited: 24
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
Preliminary prediction of individual response to electroconvulsive therapy using whole-brain functional magnetic resonance imaging data
Hai‐Lun Sun, Rongtao Jiang, Shile Qi, et al.
NeuroImage Clinical (2019) Vol. 26, pp. 102080-102080
Open Access | Times Cited: 35
Machine Learning of Schizophrenia Detection with Structural and Functional Neuroimaging
Dafa Shi, Yanfei Li, Haoran Zhang, et al.
Disease Markers (2021) Vol. 2021, pp. 1-12
Open Access | Times Cited: 30
Investigating cognitive neuroscience theories of human intelligence: A connectome‐based predictive modeling approach
Evan D. Anderson, Aron K. Barbey
Human Brain Mapping (2022) Vol. 44, Iss. 4, pp. 1647-1665
Open Access | Times Cited: 21
Brain Networks and Adolescent Alcohol Use
Sarah W. Yip, Sarah Lichenstein, Qinghao Liang, et al.
JAMA Psychiatry (2023) Vol. 80, Iss. 11, pp. 1131-1131
Open Access | Times Cited: 12
Validating an updated protocol for the novel object recognition task in young pigs
Rebecca K. Golden, Ryan N. Dilger
Frontiers in Behavioral Neuroscience (2025) Vol. 19
Open Access
Classification of Parkinson’s disease using a region-of-interest- and resting-state functional magnetic resonance imaging-based radiomics approach
Dafa Shi, Xiang Yao, Yanfei Li, et al.
Brain Imaging and Behavior (2022) Vol. 16, Iss. 5, pp. 2150-2163
Closed Access | Times Cited: 17
Sex-dependence and comorbidities of the early-life adversity induced mental and metabolic disease risks: Where are we at?
Kitty Reemst, Silvie R. Ruigrok, Laura S. Bleker, et al.
Neuroscience & Biobehavioral Reviews (2022) Vol. 138, pp. 104627-104627
Open Access | Times Cited: 16
Interpreting Brain Biomarkers: Challenges and solutions in interpreting machine learning-based predictive neuroimaging
Rongtao Jiang, Choong‐Wan Woo, Shile Qi, et al.
IEEE Signal Processing Magazine (2022) Vol. 39, Iss. 4, pp. 107-118
Open Access | Times Cited: 16
A radiomics-based brain network in T1 images: construction, attributes, and applications
Han Liu, Zhe Ma, Lijiang Wei, et al.
Cerebral Cortex (2024) Vol. 34, Iss. 2
Closed Access | Times Cited: 3
Estrogen-dependent hippocampal wiring as a risk factor for age-related dementia in women
Giulia Torromino, Adriana Maggi, Elvira De Leonibus
Progress in Neurobiology (2020) Vol. 197, pp. 101895-101895
Closed Access | Times Cited: 26
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