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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:

Multi-modal latent space inducing ensemble SVM classifier for early dementia diagnosis with neuroimaging data
Tao Zhou, Kim‐Han Thung, Mingxia Liu, et al.
Medical Image Analysis (2019) Vol. 60, pp. 101630-101630
Open Access | Times Cited: 89

Showing 26-50 of 89 citing articles:

Multi-level graph regularized robust multi-modal feature selection for Alzheimer’s disease classification
Chao Zhang, Wentao Fan, Huaxiong Li, et al.
Knowledge-Based Systems (2024) Vol. 293, pp. 111676-111676
Closed Access | Times Cited: 4
MCNEL: A multi-scale convolutional network and ensemble learning for Alzheimer’s disease diagnosis
Fei Yan, Lily Peng, Fangyan Dong, et al.
Computer Methods and Programs in Biomedicine (2025) Vol. 264, pp. 108703-108703
Closed Access
Kernelized multi-view subspace clustering via auto-weighted graph learning
Guangyu Zhang, Xiaowei Chen, Yuren Zhou, et al.
Applied Intelligence (2021) Vol. 52, Iss. 1, pp. 716-731
Closed Access | Times Cited: 24
Pairwise feature-based generative adversarial network for incomplete multi-modal Alzheimer’s disease diagnosis
Haizhou Ye, Qi Zhu, Yuan Yao, et al.
The Visual Computer (2022) Vol. 39, Iss. 6, pp. 2235-2244
Closed Access | Times Cited: 17
Identifying Alzheimer’s disease and mild cognitive impairment with atlas-based multi-modal metrics
Zhuqing Long, Jie Li, Jiang-hua Fan, et al.
Frontiers in Aging Neuroscience (2023) Vol. 15
Open Access | Times Cited: 10
DE-JANet: A unified network based on dual encoder and joint attention for Alzheimer’s disease classification using multi-modal data
Yulan Dai, Beiji Zou, Chengzhang Zhu, et al.
Computers in Biology and Medicine (2023) Vol. 165, pp. 107396-107396
Closed Access | Times Cited: 9
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
Inferring brain causal and temporal-lag networks for recognizing abnormal patterns of dementia
Zhengwang Xia, Tao Zhou, Saqib Mamoon, et al.
Medical Image Analysis (2024) Vol. 94, pp. 103133-103133
Closed Access | Times Cited: 3
Data-driven approaches to neuroimaging biomarkers for neurological and psychiatric disorders: emerging approaches and examples
Vince D. Calhoun, Godfrey D. Pearlson, Jing Sui
Current Opinion in Neurology (2021) Vol. 34, Iss. 4, pp. 469-479
Open Access | Times Cited: 18
Supervised Phenotype Discovery From Multimodal Brain Imaging
Weikang Gong, Song Bai, Ying‐Qiu Zheng, et al.
IEEE Transactions on Medical Imaging (2022) Vol. 42, Iss. 3, pp. 834-849
Open Access | Times Cited: 13
Aggregated micropatch-based deep learning neural network for ultrasonic diagnosis of cirrhosis
Se-Yeol Rhyou, Jae-Chern Yoo
Artificial Intelligence in Medicine (2023) Vol. 139, pp. 102541-102541
Open Access | Times Cited: 7
Review on the use of AI-based methods and tools for treating mental conditions and mental rehabilitation
Vladimir Khorev, Anton R. Kiselev, Artem Badarin, et al.
The European Physical Journal Special Topics (2024)
Closed Access | Times Cited: 2
Identification of product definition patterns in mass customization by multi-information fusion weighted support vector machine
Ruoda Wang, Yu Sun, Jun Ni, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 137, pp. 109253-109253
Closed Access | Times Cited: 2
Multi-scale multimodal deep learning framework for Alzheimer's disease diagnosis
M. Abdel-Aziz, Tianfu Wang, Waqas Anwaar, et al.
Computers in Biology and Medicine (2024) Vol. 184, pp. 109438-109438
Closed Access | Times Cited: 2
Domain adaptation in small-scale and heterogeneous biological datasets
Seyedmehdi Orouji, Martin C. Liu, Tal Korem, et al.
Science Advances (2024) Vol. 10, Iss. 51
Open Access | Times Cited: 2
New open-source software for subcellular segmentation and analysis of spatiotemporal fluorescence signals using deep learning
Sharif Amit Kamran, Khondker Fariha Hossain, Hussein Moghnieh, et al.
iScience (2022) Vol. 25, Iss. 5, pp. 104277-104277
Open Access | Times Cited: 12
Auto-weighted centralised multi-task learning via integrating functional and structural connectivity for subjective cognitive decline diagnosis
Baiying Lei, Nina Cheng, Alejandro F. Frangi, et al.
Medical Image Analysis (2021) Vol. 74, pp. 102248-102248
Closed Access | Times Cited: 15
Dopamine Release Impairments Accompany Locomotor and Cognitive Deficiencies in Rotenone-Treated Parkinson’s Disease Model Zebrafish
Piyanka Hettiarachchi, Sayuri S. Niyangoda, Romana Jarošová, et al.
Chemical Research in Toxicology (2022) Vol. 35, Iss. 11, pp. 1974-1982
Open Access | Times Cited: 10
From the Group to the Individual in Schizophrenia Spectrum Disorders: Biomarkers of Social Cognitive Impairments and Therapeutic Translation
Lindsay D. Oliver, Colin Hawco, Joseph D. Viviano, et al.
Biological Psychiatry (2021) Vol. 91, Iss. 8, pp. 699-708
Closed Access | Times Cited: 14
Multi-tasking deep network for tinnitus classification and severity prediction from multimodal structural MR images
Chieh-Te Lin, Sanjay Ghosh, Leighton B. Hinkley, et al.
Journal of Neural Engineering (2022) Vol. 20, Iss. 1, pp. 016017-016017
Open Access | Times Cited: 9
A Multi-Modal and Multi-Atlas Integrated Framework for Identification of Mild Cognitive Impairment
Zhuqing Long, Jie Li, Haitao Liao, et al.
Brain Sciences (2022) Vol. 12, Iss. 6, pp. 751-751
Open Access | Times Cited: 8
Recognition of Dementia Biomarkers With Deep Finer-DBN
Zhengwang Xia, Tao Zhou, Saqib Mamoon, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2021) Vol. 29, pp. 1926-1935
Open Access | Times Cited: 11
Early identification of stroke through deep learning with multi-modal human speech and movement data
Zijun Ou, Haitao Wang, Bin Zhang, et al.
Neural Regeneration Research (2024) Vol. 20, Iss. 1, pp. 234-241
Open Access | Times Cited: 1
Radiomics Analysis of CTO Plaques for Predicting Successful Guidewire Crossing Within 30 Minutes of PCI
Haoran Xing, Zhenchao Tang, Lijun Zhang, et al.
Circulation Cardiovascular Imaging (2024) Vol. 17, Iss. 8
Closed Access | Times Cited: 1
Integrated space–frequency–time domain feature extraction for MEG-based Alzheimer’s disease classification
Su Yang, José M. Sánchez‐Bornot, Ricardo Bruña, et al.
Brain Informatics (2021) Vol. 8, Iss. 1
Open Access | Times Cited: 9

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