| 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 | 90 | 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 | 87 | 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 | 54 | 2018 |
| Single-sample landscape entropy reveals the imminent phase transition during disease progression R Liu, P Chen, L Chen Bioinformatics, 2019 | 47 | 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 | 43 | 2019 |
| 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 | 37 | 2017 |
| 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 |
| 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 | 33 | 2021 |
| 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 | 23 | 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 |
| 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 | 17 | 2021 |
| 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 | 14 | 2020 |
| 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 | 14 | 2019 |
| Development of a dynamic network biomarkers method and its application for detecting the tipping point of prior disease development C Han, Z Mo, J Zhong, Q Zhang, J Hu, R Liu, H Liu, P Chen, F Ling Computational and Structural Biotechnology Journal, 2022 | 11 | 2022 |
| 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 | 10 | 2021 |
| 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 | 9 | 2022 |
| Identifying the critical state of complex biological systems by the directed-network rank score method J Zhong, C Han, Y Wang, P Chen, R Liu Bioinformatics 38 (24), 5398-5405, 2022 | 8 | 2022 |
| 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 |
