| Integrating multi-omics data through deep learning for accurate cancer prognosis prediction H Chai, X Zhou, Z Zhang, J Rao, H Zhao, Y Yang Computers in biology and medicine 134, 104481, 2021 | 108 | 2021 |
| Imputing single-cell RNA-seq data by combining graph convolution and autoencoder neural networks J Rao, X Zhou, Y Lu, H Zhao, Y Yang Iscience 24 (5), 2021 | 80 | 2021 |
| Accurately clustering single-cell RNA-seq data by capturing structural relations between cells through graph convolutional network Y Zeng, X Zhou, J Rao, Y Lu, Y Yang 2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2020 | 56 | 2020 |
| Energy efficiency for SWIPT in MIMO two-way amplify-and-forward relay networks X Zhou, Q Li IEEE Transactions on Vehicular Technology 67 (6), 4910-4924, 2018 | 54 | 2018 |
| Integrating spatial transcriptomics data across different conditions, technologies, and developmental stages X Zhou, K Dong, S Zhang Nature Computational Science, 2023 | 47 | 2023 |
| Imputing missing RNA-sequencing data from DNA methylation by using a transfer learning–based neural network X Zhou, H Chai, H Zhao, CH Luo, Y Yang GigaScience 9 (7), giaa076, 2020 | 46 | 2020 |
| Energy efficiency optimisation for SWIPT AF two‐way relay networks X Zhou, Q Li Electronics Letters 53 (6), 436-438, 2017 | 19 | 2017 |
| scAdapt: virtual adversarial domain adaptation network for single cell RNA-seq data classification across platforms and species X Zhou, H Chai, Y Zeng, H Zhao, Y Yang Briefings in Bioinformatics 22 (6), bbab281, 2021 | 18 | 2021 |
| Imputing DNA Methylation by Transferred Learning Based Neural Network X Wang, X Zhou, J Rao, Z Zhang, Y Yang Journal of Computer Science and Technology 37 (2), 320-329, 2022 | 3 | 2022 |
| Computer Networks and Distributed Computing DNA Imputing, BN Network, XF Wang, X Zhou, JH Rao, ZJ Zhang, ... Journal of Computer Science and Technology 37 (6), 2022 | | 2022 |
