| Severity detection for the coronavirus disease 2019 (COVID-19) patients using a machine learning model based on the blood and urine tests H Yao, N Zhang, R Zhang, M Duan, T Xie, J Pan, E Peng, J Huang, ... Frontiers in cell and developmental biology 8, 683, 2020 | 135 | 2020 |
| XGraphBoost: extracting graph neural network-based features for a better prediction of molecular properties D Deng, X Chen, R Zhang, Z Lei, X Wang, F Zhou Journal of chemical information and modeling 61 (6), 2697-2705, 2021 | 66 | 2021 |
| COVID19XrayNet: a two-step transfer learning model for the COVID-19 detecting problem based on a limited number of chest X-ray images R Zhang, Z Guo, Y Sun, Q Lu, Z Xu, Z Yao, M Duan, S Liu, Y Ren, ... Interdisciplinary Sciences: Computational Life Sciences 12, 555-565, 2020 | 63 | 2020 |
| A comprehensive benchmarking with practical guidelines for cellular deconvolution of spatial transcriptomics H Li, J Zhou, Z Li, S Chen, X Liao, B Zhang, R Zhang, Y Wang, S Sun, ... Nature Communications 14 (1), 1548, 2023 | 52 | 2023 |
| RIFS: a randomly restarted incremental feature selection algorithm Y Ye, R Zhang, W Zheng, S Liu, F Zhou Scientific Reports 7 (1), 13013, 2017 | 31 | 2017 |
| Predicting the antigenic evolution of SARS-COV-2 with deep learning W Han, N Chen, X Xu, A Sahil, J Zhou, Z Li, H Zhong, E Gao, R Zhang, ... Nature Communications 14 (1), 3478, 2023 | 17 | 2023 |
| MUSTv2: An Improved De Novo Detection Program for Recently Active Miniature Inverted Repeat Transposable Elements (MITEs) R Ge, G Mai, R Zhang, X Wu, Q Wu, F Zhou Journal of integrative bioinformatics 14 (3), 20170029, 2017 | 17 | 2017 |
| TriZ-a rotation-tolerant image feature and its application in endoscope-based disease diagnosis R Zhao, R Zhang, T Tang, X Feng, J Li, Y Liu, R Zhu, G Wang, K Li, ... Computers in biology and medicine 99, 182-190, 2018 | 16 | 2018 |
| Describe molecules by a heterogeneous graph neural network with transformer-like attention for supervised property predictions D Deng, Z Lei, X Hong, R Zhang, F Zhou ACS omega 7 (4), 3713-3721, 2022 | 12 | 2022 |
| An accurate regression of developmental stages for breast cancer based on transcriptomic biomarkers X Feng, R Zhang, M Liu, Q Liu, F Li, Z Yan, F Zhou Biomarkers in Medicine 13 (1), 5-15, 2019 | 12 | 2019 |
| Enrank: an ensemble method to detect pulmonary hypertension biomarkers based on feature selection and machine learning models X Liu, Y Zhang, C Fu, R Zhang, F Zhou Frontiers in Genetics 12, 636429, 2021 | 9 | 2021 |
| pyHIVE, a health-related image visualization and engineering system using Python R Zhang, R Zhao, X Zhao, D Wu, W Zheng, X Feng, F Zhou BMC bioinformatics 19, 1-6, 2018 | 5 | 2018 |
| AB-Gen: antibody library design with generative pre-trained transformer and deep reinforcement learning X Xu, T Xu, J Zhou, X Liao, R Zhang, Y Wang, L Zhang, X Gao Genomics, Proteomics & Bioinformatics, 2023 | 4 | 2023 |
| A polygenic stacking classifier revealed the complicated platelet transcriptomic landscape of adult immune thrombocytopenia C Xu, R Zhang, M Duan, Y Zhou, J Bao, H Lu, J Wang, M Hu, Z Hu, ... Molecular Therapy-Nucleic Acids 28, 477-487, 2022 | 3 | 2022 |
| Cancer genotypes prediction and associations analysis from imaging phenotypes: a survey on radiogenomics Y Wang, Y Wang, C Guo, X Xie, S Liang, R Zhang, W Pang, L Huang Biomarkers in Medicine 14 (12), 1151-1164, 2020 | 3 | 2020 |
| OCMR: A comprehensive framework for optical chemical molecular recognition Y Wang, R Zhang, S Zhang, L Guo, Q Zhou, B Zhao, X Mo, Q Yang, ... Computers in Biology and Medicine 163, 107187, 2023 | 2 | 2023 |
| Orchestrating information across tissues via a novel multitask GAT framework to improve quantitative gene regulation relation modeling for survival analysis M Duan, Y Wang, D Zhao, H Liu, G Zhang, K Li, H Zhang, L Huang, ... Briefings in Bioinformatics 24 (4), bbad238, 2023 | 2 | 2023 |
| PepHarmony: A Multi-View Contrastive Learning Framework for Integrated Sequence and Structure-Based Peptide Encoding R Zhang, H Wu, C Liu, H Li, Y Wu, K Li, Y Wang, Y Deng, J Chen, F Zhou, ... arXiv preprint arXiv:2401.11360, 2024 | 1 | 2024 |
| Optimization of binding affinities in chemical space with generative pre-trained transformer and deep reinforcement learning X Xu, J Zhou, C Zhu, Q Zhan, Z Li, R Zhang, Y Wang, X Liao, X Gao F1000Research 12, 2023 | 1 | 2023 |
| FairCare: Adversarial training of a heterogeneous graph neural network with attention mechanism to learn fair representations of electronic health records Y Wang, R Zhang, Q Yang, Q Zhou, S Zhang, Y Fan, L Huang, K Li, ... Information Processing & Management 61 (3), 103682, 2024 | | 2024 |
Fengfeng ZhouProfessor of Health Informatics, College of Computer Science and Technology, Jilin UniversityVerified email at ustc.edu
