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:

Predicting Biological Gender and Intelligence From fMRI via Dynamic Functional Connectivity
Bhaskar Sen, Keshab K. Parhi
IEEE Transactions on Biomedical Engineering (2020) Vol. 68, Iss. 3, pp. 815-825
Open Access | Times Cited: 36

Showing 1-25 of 36 citing articles:

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

The biological basis of intelligence: Benchmark findings
Kirsten Hilger, Frank M. Spinath, Stefan J. Troche, et al.
Intelligence (2022) Vol. 93, pp. 101665-101665
Closed Access | Times Cited: 20

Classification of Adolescent Major Depressive Disorder Via Static and Dynamic Connectivity
Bhaskar Sen, Kathryn R. Cullen, Keshab K. Parhi
IEEE Journal of Biomedical and Health Informatics (2020) Vol. 25, Iss. 7, pp. 2604-2614
Open Access | Times Cited: 30

Accounting for temporal variability in functional magnetic resonance imaging improves prediction of intelligence
Yang Li, Xin Ma, Rajshekhar Sunderraman, et al.
Human Brain Mapping (2023) Vol. 44, Iss. 13, pp. 4772-4791
Open Access | Times Cited: 7

Somatomotor-visual resting state functional connectivity increases after 2 years in the UK Biobank longitudinal cohort
Anton Orlichenko, Kuan‐Jui Su, Hui Shen, et al.
Journal of Medical Imaging (2024) Vol. 11, Iss. 02
Open Access | Times Cited: 2

Bayesian Tensor Modeling for Image-based Classification of Alzheimer’s Disease
Rongke Lyu, Marina Vannucci, Suprateek Kundu
Neuroinformatics (2024)
Closed Access | Times Cited: 2

Identifiability in Functional Connectivity May Unintentionally Inflate Prediction Results
Anton Orlichenko, Gang Qu, Kuan‐Jui Su, et al.
medRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 5

Individual-Level fMRI Segmentation Based on Graphs
Kevin W. Tong, Xiaoyan Zhao, Yongxia Li, et al.
IEEE Transactions on Cognitive and Developmental Systems (2023) Vol. 15, Iss. 4, pp. 1773-1782
Closed Access | Times Cited: 4

Dynamic functional network connectivity analysis in schizophrenia based on a spatiotemporal CPD framework
Li‐Dan Kuang, H.-T. Li, Jianming Zhang, et al.
Journal of Neural Engineering (2024) Vol. 21, Iss. 1, pp. 016032-016032
Closed Access | Times Cited: 1

Shift-invariant rank-(L, L, 1, 1) BTD with 3D spatial pooling and orthonormalization: Application to multi-subject fMRI data
Li‐Dan Kuang, Hao-Peng Zhang, Hao Zhu, et al.
Biomedical Signal Processing and Control (2024) Vol. 92, pp. 106058-106058
Closed Access | Times Cited: 1

Predictability of intelligence and age from structural connectomes
Sebastian J. Kopetzky, Yong Li, Marcus Kaiser, et al.
PLoS ONE (2024) Vol. 19, Iss. 4, pp. e0301599-e0301599
Open Access | Times Cited: 1

A core tensor sparsity enhancement method for solving Tucker-2 model of multi-subject fMRI data
Han Yue, Qiu‐Hua Lin, Li‐Dan Kuang, et al.
Biomedical Signal Processing and Control (2024) Vol. 95, pp. 106471-106471
Closed Access | Times Cited: 1

Causal Learning and Knowledge Fusion Mechanism for Brain Functional Network Classification
Junzhong Ji, Feipeng Wang, Lu Han, et al.
IEEE Transactions on Signal and Information Processing over Networks (2024) Vol. 10, pp. 650-664
Closed Access | Times Cited: 1

Biological Gender Classification from fMRI via Hyperdimensional Computing
Ryan Billmeyer, Keshab K. Parhi
2014 48th Asilomar Conference on Signals, Systems and Computers (2021), pp. 578-582
Closed Access | Times Cited: 10

RoWDI: rolling window detection of sleep intrusions in the awake brain using fMRI
Govinda Poudel, Stephanie Hawes, Carrie Innes, et al.
Journal of Neural Engineering (2021) Vol. 18, Iss. 5, pp. 056063-056063
Open Access | Times Cited: 9

Fine temporal brain network structure modularizes and localizes differently in men and women: insights from a novel explainability framework
Noah Lewis, Robyn L. Miller, Harshvardhan Gazula, et al.
Cerebral Cortex (2023) Vol. 33, Iss. 10, pp. 5817-5828
Open Access | Times Cited: 3

Coupled canonical polyadic decomposition of multi-group fMRI data with spatial reference and orthonormality constraints
Li‐Dan Kuang, Zhi-Ming He, Jianming Zhang, et al.
Biomedical Signal Processing and Control (2022) Vol. 80, pp. 104232-104232
Closed Access | Times Cited: 5

A Demographic-Conditioned Variational Autoencoder for fMRI Distribution Sampling and Removal of Confounds
Anton Orlichenko, Gang Qu, Ziyu Zhou, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access

Learning Interpretable Brain Functional Connectivity Via Self-Supervised Triplet Network With Depth-Wise Attention
Yunbo Tang, Weirong Huang, Rongchang Liu, et al.
IEEE Journal of Biomedical and Health Informatics (2024) Vol. 28, Iss. 11, pp. 6685-6698
Closed Access

Measuring functional connectivity in frequency‐domain helps to better characterize brain function
Limin Peng, Jianpo Su, Dewen Hu, et al.
Human Brain Mapping (2024) Vol. 45, Iss. 10
Open Access

Identifiability in Functional Connectivity May Unintentionally Inflate Prediction Results
Anton Orlichenko, Gang Qu, Kuan‐Jui Su, et al.
(2023)
Open Access | Times Cited: 1

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