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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:

Latent Representation Learning for Alzheimer’s Disease Diagnosis With Incomplete Multi-Modality Neuroimaging and Genetic Data
Tao Zhou, Mingxia Liu, Kim‐Han Thung, et al.
IEEE Transactions on Medical Imaging (2019) Vol. 38, Iss. 10, pp. 2411-2422
Open Access | Times Cited: 176

Showing 1-25 of 176 citing articles:

RGB-D salient object detection: A survey
Tao Zhou, Deng-Ping Fan, Ming–Ming Cheng, et al.
Computational Visual Media (2021) Vol. 7, Iss. 1, pp. 37-69
Open Access | Times Cited: 257
Machine learning methods for predicting progression from mild cognitive impairment to Alzheimer’s disease dementia: a systematic review
Sergio Grueso, Raquel Viejo-Sobera
Alzheimer s Research & Therapy (2021) Vol. 13, Iss. 1
Open Access | Times Cited: 178
Dual Shared-Specific Multiview Subspace Clustering
Tao Zhou, Changqing Zhang, Xi Peng, et al.
IEEE Transactions on Cybernetics (2019) Vol. 50, Iss. 8, pp. 3517-3530
Closed Access | Times Cited: 146
Multimodal data fusion for cancer biomarker discovery with deep learning
Sandra Steyaert, Marija Pizurica, Divya Nagaraj, et al.
Nature Machine Intelligence (2023) Vol. 5, Iss. 4, pp. 351-362
Open Access | Times Cited: 127
High-Order Correlation Preserved Incomplete Multi-View Subspace Clustering
Zhenglai Li, Chang Tang, Xiao Zheng, et al.
IEEE Transactions on Image Processing (2022) Vol. 31, pp. 2067-2080
Closed Access | Times Cited: 112
A survey of multimodal information fusion for smart healthcare: Mapping the journey from data to wisdom
Thanveer Shaik, Xiaohui Tao, Lin Li, et al.
Information Fusion (2023) Vol. 102, pp. 102040-102040
Open Access | Times Cited: 49
A Comprehensive Review on Synergy of Multi-Modal Data and AI Technologies in Medical Diagnosis
Xi Xu, Jianqiang Li, Zhichao Zhu, et al.
Bioengineering (2024) Vol. 11, Iss. 3, pp. 219-219
Open Access | Times Cited: 28
Multimodal Data Analysis of Alzheimer's Disease Based on Clustering Evolutionary Random Forest
Xia-an Bi, Xi Hu, Hao Wu, et al.
IEEE Journal of Biomedical and Health Informatics (2020) Vol. 24, Iss. 10, pp. 2973-2983
Closed Access | Times Cited: 114
Self-Supervised Feature Learning via Exploiting Multi-Modal Data for Retinal Disease Diagnosis
Xiaomeng Li, Mengyu Jia, Md Tauhidul Islam, et al.
IEEE Transactions on Medical Imaging (2020) Vol. 39, Iss. 12, pp. 4023-4033
Open Access | Times Cited: 111
Multi-view Spectral Clustering Network
Zhenyu Huang, Joey Tianyi Zhou, Xi Peng, et al.
(2019), pp. 2563-2569
Open Access | Times Cited: 108
Deep and joint learning of longitudinal data for Alzheimer's disease prediction
Baiying Lei, Mengya Yang, Peng Yang, et al.
Pattern Recognition (2020) Vol. 102, pp. 107247-107247
Closed Access | Times Cited: 90
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
Projective parameter transfer based sparse multiple empirical kernel learning Machine for diagnosis of brain disease
Xiaoyan Fei, Jun Wang, Shihui Ying, et al.
Neurocomputing (2020) Vol. 413, pp. 271-283
Closed Access | Times Cited: 85
Transfer learning for establishment of recognition of COVID-19 on CT imaging using small-sized training datasets
Chun Li, Yunyun Yang, Hui Liang, et al.
Knowledge-Based Systems (2021) Vol. 218, pp. 106849-106849
Open Access | Times Cited: 66
Relation-Induced Multi-Modal Shared Representation Learning for Alzheimer’s Disease Diagnosis
Zhenyuan Ning, Qing Xiao, Qianjin Feng, et al.
IEEE Transactions on Medical Imaging (2021) Vol. 40, Iss. 6, pp. 1632-1645
Closed Access | Times Cited: 64
Incomplete multi-modal representation learning for Alzheimer’s disease diagnosis
Yanbei Liu, Lianxi Fan, Changqing Zhang, et al.
Medical Image Analysis (2021) Vol. 69, pp. 101953-101953
Closed Access | Times Cited: 61
Information fusion and artificial intelligence for smart healthcare: a bibliometric study
Xieling Chen, Haoran Xie, Zongxi Li, et al.
Information Processing & Management (2022) Vol. 60, Iss. 1, pp. 103113-103113
Open Access | Times Cited: 61
Alzheimer’s disease diagnosis framework from incomplete multimodal data using convolutional neural networks
Mohammed Abdelaziz, Tianfu Wang, Ahmed Elazab
Journal of Biomedical Informatics (2021) Vol. 121, pp. 103863-103863
Closed Access | Times Cited: 57
Multi-modality cardiac image computing: A survey
Lei Li, Wangbin Ding, Liqin Huang, et al.
Medical Image Analysis (2023) Vol. 88, pp. 102869-102869
Open Access | Times Cited: 30
A Systematic Literature Review on Multimodal Machine Learning: Applications, Challenges, Gaps and Future Directions
Arnab Barua, Mobyen Uddin Ahmed, Shahina Begum
IEEE Access (2023) Vol. 11, pp. 14804-14831
Open Access | Times Cited: 27
A review of cancer data fusion methods based on deep learning
Yuxin Zhao, Xiaobo Li, Changjun Zhou, et al.
Information Fusion (2024) Vol. 108, pp. 102361-102361
Closed Access | Times Cited: 14
Alzheimer’s disease diagnosis from single and multimodal data using machine and deep learning models: Achievements and future directions
Ahmed Elazab, Changmiao Wang, M. Abdel-Aziz, et al.
Expert Systems with Applications (2024) Vol. 255, pp. 124780-124780
Closed Access | Times Cited: 11
Deep Learning with Neuroimaging and Genomics in Alzheimer’s Disease
Eugene Lin, Chieh‐Hsin Lin, Hsien‐Yuan Lane
International Journal of Molecular Sciences (2021) Vol. 22, Iss. 15, pp. 7911-7911
Open Access | Times Cited: 52
Multi-scale attention-based pseudo-3D convolution neural network for Alzheimer’s disease diagnosis using structural MRI
Zhao Pei, Zhiyang Wan, Yanning Zhang, et al.
Pattern Recognition (2022) Vol. 131, pp. 108825-108825
Closed Access | Times Cited: 31
Multi-Scale Transformer Network With Edge-Aware Pre-Training for Cross-Modality MR Image Synthesis
Yonghao Li, Tao Zhou, Kelei He, et al.
IEEE Transactions on Medical Imaging (2023) Vol. 42, Iss. 11, pp. 3395-3407
Open Access | Times Cited: 18
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