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:

Multiscale functional connectome abnormality predicts cognitive outcomes in subcortical ischemic vascular disease
Mianxin Liu, Yao Wang, Han Zhang, et al.
Cerebral Cortex (2022) Vol. 32, Iss. 21, pp. 4641-4656
Open Access | Times Cited: 15

Showing 15 citing articles:

Neurovascular coupling alterations related to cognitive impairment in cerebral small vessel disease: A multiscale brain network perspective
Ying Hu, Yage Qiu, Yuewei Chen, et al.
Progress in Neuro-Psychopharmacology and Biological Psychiatry (2025), pp. 111311-111311
Closed Access

Constructing hierarchical attentive functional brain networks for early AD diagnosis
Jianjia Zhang, Yunan Guo, Luping Zhou, et al.
Medical Image Analysis (2024) Vol. 94, pp. 103137-103137
Closed Access | Times Cited: 4

Multi-Scale FC-Based Multi-Order GCN: A Novel Model for Predicting Individual Behavior From fMRI
Xuyun Wen, Qumei Cao, Bin Jing, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2024) Vol. 32, pp. 548-558
Open Access | Times Cited: 1

A common spectrum underlying brain disorders across lifespan revealed by deep learning on brain networks
Mianxin Liu, Jingyang Zhang, Yao Wang, et al.
iScience (2023) Vol. 26, Iss. 11, pp. 108244-108244
Open Access | Times Cited: 2

Machine Learning Prediction Models for Cognitive Impairment in Cerebral Small Vessel Disease
Qi Wu, Jupeng Zhang, Lei Peng, et al.
Research Square (Research Square) (2024)
Open Access

Guiding fusion of dynamic functional and effective connectivity in spatio-temporal graph neural network for brain disorder classification
Dongdong Chen, Mengjun Liu, Sheng Wang, et al.
Knowledge-Based Systems (2024), pp. 112856-112856
Closed Access

Label-guided low-rank Approximation for functional brain network learning in identifying subcortical vascular cognitive impairment
Xiao Jiang, Guangyu Wang, Limei Zhang, et al.
Biomedical Signal Processing and Control (2024) Vol. 98, pp. 106766-106766
Closed Access

Verifying and refining early statuses in Alzheimer’s disease progression: a possibility from deep feature comparison
Mianxin Liu, Liang Cui, Zixiao Zhao, et al.
Cerebral Cortex (2023) Vol. 33, Iss. 24, pp. 11486-11500
Open Access | Times Cited: 1

A Multi-Scale Multi-Hop Graph Convolution Network for Predicting Fluid Intelligence via Functional Connectivity
Xuyun Wen, Qumei Cao, Daoqiang Zhang
2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (2022), pp. 1262-1267
Closed Access | Times Cited: 1

Development and Fast Transferring of General Connectivity-Based Diagnosis Model to New Brain Disorders with Adaptive Graph Meta-Learner
Yu-Xiao Liu, Mianxin Liu, Yuanwang Zhang, et al.
Lecture notes in computer science (2023), pp. 99-108
Closed Access

Dysfunctions of multiscale dynamic brain functional networks in subjective cognitive decline
Mianxin Liu, Qi Huang, Lin Huang, et al.
Brain Communications (2023) Vol. 6, Iss. 1
Open Access

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