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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:

Classification of major depressive disorder using an attention-guided unified deep convolutional neural network and individual structural covariance network
Jingjing Gao, Ming‐Ren Chen, Die Xiao, et al.
Cerebral Cortex (2022) Vol. 33, Iss. 6, pp. 2415-2425
Closed Access | Times Cited: 10

Showing 10 citing articles:

Unveiling the prevalence and risk factors of early stage postpartum depression: a hybrid deep learning approach
Umesh Kumar Lilhore, Surjeet Dalal, Neetu Faujdar, et al.
Multimedia Tools and Applications (2024) Vol. 83, Iss. 26, pp. 68281-68315
Closed Access | Times Cited: 19
Toward individualized connectomes of brain morphology
Jinhui Wang, Yong He
Trends in Neurosciences (2023) Vol. 47, Iss. 2, pp. 106-119
Open Access | Times Cited: 29
Effective hyper-connectivity network construction and learning: Application to major depressive disorder identification
Jingyu Liu, Wenxin Yang, Yulan Ma, et al.
Computers in Biology and Medicine (2024) Vol. 171, pp. 108069-108069
Closed Access | Times Cited: 8
Brain functional activity-based classification of autism spectrum disorder using an attention-based graph neural network combined with gene expression
Zhengning Wang, Yuhang Xu, Dawei Peng, et al.
Cerebral Cortex (2022) Vol. 33, Iss. 10, pp. 6407-6419
Closed Access | Times Cited: 16
Altered topology of individual brain structural covariance networks in major depressive disorder
Liangliang Ping, Shan Sun, Cong Zhou, et al.
Psychological Medicine (2023) Vol. 53, Iss. 14, pp. 6921-6932
Closed Access | Times Cited: 7
Aberrant single-subject morphological brain networks in first-episode, treatment-naive adolescents with major depressive disorder
Xiaofan Qiu, Junle Li, Fen Pan, et al.
Deleted Journal (2023) Vol. 3
Open Access | Times Cited: 7
Bidirectional motivated bimodal isothermal strand displacement amplifier with a table tennis-like movement for the ultrasensitive fluorescent and colorimetric detection of depression-related microRNA
Xiao-Ming Kong, Junfeng Wang, Siwen Lv, et al.
Analytica Chimica Acta (2023) Vol. 1247, pp. 340894-340894
Closed Access | Times Cited: 6
Automatic Diagnosis of Major Depressive Disorder Using a High- and Low-Frequency Feature Fusion Framework
Junyu Wang, Tongtong Li, Qi Sun, et al.
Brain Sciences (2023) Vol. 13, Iss. 11, pp. 1590-1590
Open Access | Times Cited: 4
Multi-feature concatenation and multi-classifier stacking: An interpretable and generalizable machine learning method for MDD discrimination with rsfMRI
Yunsong Luo, Wen-Yu Chen, Zhan Ling, et al.
NeuroImage (2023) Vol. 285, pp. 120497-120497
Open Access | Times Cited: 3
A Lightweight, End-to-End Explainable, and Generalized attention-based graph neural network to Classify Autism Spectrum Disorder using Meta-Connectivity
Km Bhavna, Niniva Ghosh, Romi Banerjee, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
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