
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:
SDGCCA: Supervised Deep Generalized Canonical Correlation Analysis for Multi-Omics Integration
Sehwan Moon, Jeongyoung Hwang, Hyunju Lee
Journal of Computational Biology (2022) Vol. 29, Iss. 8, pp. 892-907
Open Access | Times Cited: 13
Sehwan Moon, Jeongyoung Hwang, Hyunju Lee
Journal of Computational Biology (2022) Vol. 29, Iss. 8, pp. 892-907
Open Access | Times Cited: 13
Showing 13 citing articles:
MUMA: A Multi-Omics Meta-Learning Algorithm for Data Interpretation and Classification
Haihui Huang, Jun Shu, Yong Liang
IEEE Journal of Biomedical and Health Informatics (2024) Vol. 28, Iss. 4, pp. 2428-2436
Closed Access | Times Cited: 20
Haihui Huang, Jun Shu, Yong Liang
IEEE Journal of Biomedical and Health Informatics (2024) Vol. 28, Iss. 4, pp. 2428-2436
Closed Access | Times Cited: 20
DriverDBv4: a multi-omics integration database for cancer driver gene research
Chia-Hsin Liu, Yo-Liang Lai, Pei-Chun Shen, et al.
Nucleic Acids Research (2023) Vol. 52, Iss. D1, pp. D1246-D1252
Open Access | Times Cited: 14
Chia-Hsin Liu, Yo-Liang Lai, Pei-Chun Shen, et al.
Nucleic Acids Research (2023) Vol. 52, Iss. D1, pp. D1246-D1252
Open Access | Times Cited: 14
Deep metric loss for multimodal learning
Sehwan Moon, Hyunju Lee
Machine Learning (2025) Vol. 114, Iss. 1
Open Access
Sehwan Moon, Hyunju Lee
Machine Learning (2025) Vol. 114, Iss. 1
Open Access
Attentive Deep Canonical Correlation Analysis for Diagnosing Alzheimer’s Disease Using Multimodal Imaging Genetics
Rong Zhou, Houliang Zhou, Brian Y. Chen, et al.
Lecture notes in computer science (2023), pp. 681-691
Closed Access | Times Cited: 6
Rong Zhou, Houliang Zhou, Brian Y. Chen, et al.
Lecture notes in computer science (2023), pp. 681-691
Closed Access | Times Cited: 6
Exploring Imaging Genetic Markers of Alzheimer’s Disease Based on a Novel Nonlinear Correlation Analysis Algorithm
Renbo Yang, Wei Kong, Kun Liu, et al.
Journal of Molecular Neuroscience (2024) Vol. 74, Iss. 2
Closed Access | Times Cited: 1
Renbo Yang, Wei Kong, Kun Liu, et al.
Journal of Molecular Neuroscience (2024) Vol. 74, Iss. 2
Closed Access | Times Cited: 1
Multi-Modal Gaussian Process Latent Variable Model With Semi-Supervised Label Dequantization
Keisuke Maeda, M. Matsumoto, Naoki Saito, et al.
IEEE Access (2024) Vol. 12, pp. 127244-127258
Open Access | Times Cited: 1
Keisuke Maeda, M. Matsumoto, Naoki Saito, et al.
IEEE Access (2024) Vol. 12, pp. 127244-127258
Open Access | Times Cited: 1
Data integration through canonical correlation analysis and its application to OMICs research
S. Wröbel, Cezary Turek, Ewa Stępień, et al.
Journal of Biomedical Informatics (2023) Vol. 151, pp. 104575-104575
Closed Access | Times Cited: 1
S. Wröbel, Cezary Turek, Ewa Stępień, et al.
Journal of Biomedical Informatics (2023) Vol. 151, pp. 104575-104575
Closed Access | Times Cited: 1
Application of Mass Cytometry Platforms to Solid Organ Transplantation
Wenming Zhang, Ayantika Sen, Josselyn K. Peña, et al.
Transplantation (2024) Vol. 108, Iss. 10, pp. 2034-2044
Closed Access
Wenming Zhang, Ayantika Sen, Josselyn K. Peña, et al.
Transplantation (2024) Vol. 108, Iss. 10, pp. 2034-2044
Closed Access
Smccnet 2.0: a comprehensive tool for multi-omics network inference with shiny visualization
W. M. Liu, Thao Vu, Iain R. Konigsberg, et al.
BMC Bioinformatics (2024) Vol. 25, Iss. 1
Open Access
W. M. Liu, Thao Vu, Iain R. Konigsberg, et al.
BMC Bioinformatics (2024) Vol. 25, Iss. 1
Open Access
Brain-Cognition Fingerprinting via Graph-GCCA with Contrastive Learning
Yixin Wang, Wei Peng, Yu Zhang, et al.
Lecture notes in computer science (2024), pp. 24-34
Closed Access
Yixin Wang, Wei Peng, Yu Zhang, et al.
Lecture notes in computer science (2024), pp. 24-34
Closed Access
MMMF: Multimodal Multitask Matrix Factorization for Classification and Feature Selection
Jeongyoung Hwang, Hyunju Lee
IEEE Access (2022) Vol. 10, pp. 120155-120167
Open Access | Times Cited: 2
Jeongyoung Hwang, Hyunju Lee
IEEE Access (2022) Vol. 10, pp. 120155-120167
Open Access | Times Cited: 2
Visual Emotion Recognition Through Multimodal Cyclic-Label Dequantized Gaussian Process Latent Variable Model
Naoki Saito, Keisuke Maeda, Takahiro Ogawa, et al.
Journal of Robotics and Mechatronics (2023) Vol. 35, Iss. 5, pp. 1321-1330
Open Access
Naoki Saito, Keisuke Maeda, Takahiro Ogawa, et al.
Journal of Robotics and Mechatronics (2023) Vol. 35, Iss. 5, pp. 1321-1330
Open Access
MoSCHG: Multi-omics Single-cell Classification based on Heterogeneous Graphs and Supervised Contrastive Learning
Xinjian Chen, Chenyang Xie, Yunhao Zhang, et al.
2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (2023) Vol. 27, pp. 835-840
Closed Access
Xinjian Chen, Chenyang Xie, Yunhao Zhang, et al.
2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (2023) Vol. 27, pp. 835-840
Closed Access