| Identifying early-warning signals of critical transitions with strong noise by dynamical network markers R Liu, P Chen, K Aihara, L Chen Scientific reports 5, 2015 | 84 | 2015 |
| Autoreservoir computing for multistep ahead prediction based on the spatiotemporal information transformation Pei Chen, Rui Liu, Kazuyuki Aihara, and Luonan Chen Nature Communications, 2020 | 72 | 2020 |
| Detecting critical state before phase transition of complex biological systems by hidden Markov model P Chen, R Liu, Y Li, L Chen Bioinformatics 32 (14), 2143-2150, 2016 | 56 | 2016 |
| Hunt for the tipping point during endocrine resistance process in breast cancer by dynamic network biomarkers R Liu, J Wang, M Ukai, K Sewon, P Chen, Y Suzuki, H Wang, K Aihara, ... Journal of molecular cell biology, 2018 | 53 | 2018 |
| Single-sample landscape entropy reveals the imminent phase transition during disease progression R Liu, P Chen, L Chen Bioinformatics, 2019 | 43 | 2019 |
| Detecting early‐warning signals of influenza outbreak based on dynamic network marker P Chen, E Chen, L Chen, XJ Zhou, R Liu Journal of cellular and molecular medicine 23 (1), 395-404, 2019 | 41 | 2019 |
| Identifying critical differentiation state of MCF-7 cells for breast cancer by dynamical network biomarkers P Chen, R Liu, K Aihara, L Chen Frontiers in genetics 6, 252, 2015 | 36 | 2015 |
| Detecting the tipping points in a three-state model of complex diseases by temporal differential networks P Chen, Y Li, X Liu, R Liu, L Chen Journal of Translational Medicine 15 (1), 217, 2017 | 35 | 2017 |
| Predicting local COVID-19 outbreaks and infectious disease epidemics based on landscape network entropy R Liu, J Zhong, R Hong, E Chen, K Aihara, P Chen, L Chen Science Bulletin, 2021 | 31 | 2021 |
| Identifying critical state of complex diseases by single-sample Kullback–Leibler divergence Jiayuan Zhong, Rui Liu, Pei Chen BMC Genomics, 2020 | 21 | 2020 |
| Defining and characterizing the critical transition state prior to the type 2 diabetes disease B Jin, R Liu, S Hao, Z Li, C Zhu, X Zhou, P Chen, T Fu, Z Hu, Q Wu, W Liu, ... PloS one 12 (7), e0180937, 2017 | 19 | 2017 |
| Dynamic Network Biomarker of Pre-Exhausted CD8+ T Cells Contributed to T Cell Exhaustion in Colorectal Cancer J Hu, C Han, J Zhong, H Liu, R Liu, W Luo, P Chen, F Ling Frontiers in immunology, 3057, 2021 | 17 | 2021 |
| scGET: Predicting Cell Fate Transition During Early Embryonic Development by Single-cell Graph Entropy Jiayuan Zhong, Chongyin Han, Xuhang Zhang, Pei Chen, Rui Liu Genomics, Proteomics & Bioinformatics, 2021 | 14 | 2021 |
| Identifying critical state of complex diseases by single-sample-based hidden Markov model R Liu, J Zhong, X Yu, Y Li, P Chen Frontiers in genetics 10, 285, 2019 | 13 | 2019 |
| Rapid diagnosis and comprehensive bacteria profiling of sepsis based on cell-free DNA Pei Chen, Shuo Li, Wenyuan Li, Jie Ren, Fengzhu Sun, Rui Liu, Xianghong ... Journal of Translational Medicine 18 (5), 2020 | 12 | 2020 |
| Identifying pre-outbreak signals of hand, foot and mouth disease based on landscape dynamic network marker Xuhang Zhang Rong Xie, Zhengrong Liu, Yucong Pan, Rui Liu, Pei Chen BMC Infectious Diseases, 2021 | 11 | 2021 |
| Forecasting the COVID-19 transmission in Italy based on the minimum spanning tree of dynamic region network M Dong, X Zhang, K Yang, R Liu, P Chen PeerJ 9, e11603, 2021 | 8 | 2021 |
| Real-Time Forecast of Influenza Outbreak Using Dynamic Network Marker Based on Minimum Spanning Tree Kun Yang, Jialiu Xie, Rong Xie, Yucong Pan, Rui Liu, Pei Chen BioMed Research International 2020 (11), 2020 | 7 | 2020 |
| Identifying the critical states of complex diseases by the dynamic change of multivariate distribution Hao Peng, Jiayuan Zhong, Pei Chen, Rui Liu Briefings in Bioinformatics, 2022 | 6 | 2022 |
| Detecting the outbreak of influenza based on the shortest path of dynamic city network Y Chen, K Yang, J Xie, R Xie, Z Liu, R Liu, P Chen PeerJ 8, e9432, 2020 | 6 | 2020 |
Rui LiuSouth China University of TechnologyBestätigte E-Mail-Adresse bei scut.edu.cn
