| Multi-view multichannel attention graph convolutional network for miRNA–disease association prediction X Tang, J Luo, C Shen, Z Lai Briefings in Bioinformatics 22 (6), bbab174, 2021 | 83 | 2021 |
| Research on Data Fusion of Adaptive Weighted Multi-Source Sensor D Li, C Shen, X Dai, X Zhu, J Luo, X Li, H Chen, Z Liang Computers, Materials & Continua 63 (3), 1217–1231, 2019 | 24 | 2019 |
| IDDkin: network-based influence deep diffusion model for enhancing prediction of kinase inhibitors C Shen, J Luo, W Ouyang, P Ding, X Chen Bioinformatics 36 (22-23), 5481-5491, 2020 | 20 | 2020 |
| Incorporating multisource knowledge to predict drug synergy based on graph co-regularization P Ding, C Shen, Z Lai, C Liang, G Li, J Luo Journal of Chemical Information and Modeling 60 (1), 37-46, 2019 | 20 | 2019 |
| Incorporating clinical, chemical and biological information for predicting small molecule-microRNA associations based on non-negative matrix factorization J Luo, C Shen, Z Lai, J Cai, P Ding IEEE/ACM Transactions on Computational Biology and Bioinformatics 18 (6 …, 2020 | 14 | 2020 |
| Multiview joint learning-based method for identifying small-molecule-associated MiRNAs by integrating pharmacological, genomics, and network knowledge C Shen, J Luo, Z Lai, P Ding Journal of Chemical Information and Modeling 60 (8), 4085-4097, 2020 | 13 | 2020 |
| Identification of small molecule–miRNA associations with graph regularization techniques in heterogeneous networks C Shen, J Luo, W Ouyang, P Ding, H Wu Journal of Chemical Information and Modeling 60 (12), 6709-6721, 2020 | 11 | 2020 |
| Fingerprint-enhanced graph attention network (FinGAT) model for antibiotic discovery HY Choo, JJ Wee, C Shen, K Xia Journal of Chemical Information and Modeling 63 (10), 2928-2935, 2023 | 6 | 2023 |
| Spatial-MGCN: a novel multi-view graph convolutional network for identifying spatial domains with attention mechanism B Wang, J Luo, Y Liu, W Shi, Z Xiong, C Shen, Y Long Briefings in Bioinformatics 24 (5), bbad262, 2023 | 5 | 2023 |
| Multi-relation graph embedding for predicting mirna-target gene interactions by integrating gene sequence information J Luo, W Ouyang, C Shen, J Cai IEEE Journal of Biomedical and Health Informatics 26 (8), 4345-4353, 2022 | 4 | 2022 |
| An in silico method for predicting drug synergy based on multitask learning X Chen, L Luo, C Shen, P Ding, J Luo Interdisciplinary Sciences: Computational Life Sciences 13, 299-311, 2021 | 4 | 2021 |
| Molecular geometric deep learning C Shen, J Luo, K Xia Cell Reports Methods 3 (11), 2023 | 3 | 2023 |
| Improving the Prediction of Potential Kinase Inhibitors with Feature Learning on Multisource Knowledge Y Zhong, C Shen, H Wu, T Xu, L Luo Interdisciplinary Sciences: Computational Life Sciences 14 (3), 775-785, 2022 | 3 | 2022 |
| Graph attention mechanism-based deep tensor factorization for predicting disease-associated miRNA-miRNA pairs J Luo, Z Lai, C Shen, P Liu, H Shi 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2021 | 2 | 2021 |
| Metapath-based deep convolutional neural network for predicting miRNA-Target association on heterogeneous network J Luo, Y Bao, X Chen, C Shen Interdisciplinary Sciences: Computational Life Sciences 13 (4), 547-558, 2021 | 2 | 2021 |
| A graph convolutional matrix completion method for miRNA-disease association prediction W Wang, J Luo, C Shen, NH Tu Intelligent Computing Theories and Application: 16th International …, 2020 | 2 | 2020 |
| Curvature-enhanced graph convolutional network for biomolecular interaction prediction C Shen, P Ding, J Wee, J Bi, J Luo, K Xia Computational and Structural Biotechnology Journal, 2024 | 1 | 2024 |
| scSAGAN: A scRNA-seq data imputation method based on Semi-Supervised Learning and Probabilistic Latent Semantic Analysis Z Xiong, X Chen, J Luo, C Shen, Z Xu 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2022 | 1 | 2022 |
| Multitask joint learning with graph autoencoders for predicting potential MiRNA-drug associations Y Zhong, C Shen, X Xi, Y Luo, P Ding, L Luo Artificial Intelligence in Medicine 145, 102665, 2023 | | 2023 |
| Multi-task learning for predicting synergistic drug combinations based on auto-encoding multi-relational graphs W Shan, C Shen, L Luo, P Ding Iscience 26 (10), 2023 | | 2023 |
Jiawei LuoProfessor of Computer Science, Hunan UniversityVerified email at hnu.edu.cn
