Who drive people to forward information: publisher or spreader? - Jing Jiang 005; Pei Chen 004; Xiao Wang 018; Yafei Dai (SNS, 2012)

Summary-aided bloom filter for high-speed named data forwarding. - Dagang Li 001; Pei Chen 004 (HPSR, 2013)

Optimized Hash Lookup for Bloom Filter Based Packet Routing. - Dagang Li 001; Pei Chen 004 (NBiS, 2013)

CSF protein dynamic driver network: At the crossroads of brain tumorigenesis. - Changlin Fu; Zhou Tan; Rui Liu 009; Shiying Hao; Zhen Li; Pei Chen 004; Taichang Jang; Milton Merchant; John C. Whitin; Oxford Wang; Minyi Guo; Harvey J. Cohen; et al. (BIBM, 2014)

NCAF: A reduced flooding mechanism for route discovery in ICN. - Pei Chen 004; Dagang Li 001 (ChinaCom, 2014)

Identifying the pre-transition state during biological processes by hidden Markov model. - Pei Chen 004; Shuoyang Qiu; Yue Wang; Yongjun Li (BIBM, 2015)

Detecting critical state before phase transition of complex biological systems by hidden Markov model. - Pei Chen 004; Rui Liu 009; Yongjun Li; Luonan Chen (Bioinform., 2016)

The decrease of consistence probability: at the crossroad of catastrophic transition of a biological system. - Pei Chen 004; Yongjun Li (BMC Syst. Biol., 2016)

Corrigendum to: Single-sample landscape entropy reveals the imminent phase transition during disease progression. - Rui Liu 009; Pei Chen 004; Luonan Chen (Bioinform., 2020)

Single-sample landscape entropy reveals the imminent phase transition during disease progression. - Rui Liu 009; Pei Chen 004; Luonan Chen (Bioinform., 2020)

Multi-step-ahead Prediction from Short-term Data by Delay-embedding-based Forecast Machine. - Hao Peng 003; Pei Chen 004; Rui Liu 009 (CoRR, 2020)

Spatiotemporal convolutional network for time-series prediction and causal inference. - Hao Peng 003; Pei Chen 004; Rui Liu 009; Luonan Chen (CoRR, 2021)

scGET: Predicting Cell Fate Transition During Early Embryonic Development by Single-cell Graph Entropy. - Jiayuan Zhong; Chongyin Han; Xuhang Zhang; Pei Chen 004; Rui Liu 009 (Genom. Proteom. Bioinform., 2021)

TPD: a web tool for tipping-point detection based on dynamic network biomarker. - Pei Chen 004; Jiayuan Zhong; Kun Yang; Xuhang Zhang; Yingqi Chen; Rui Liu 009 (Briefings Bioinform., 2022)

Identifying the critical states of complex diseases by the dynamic change of multivariate distribution. - Hao Peng 003; Jiayuan Zhong; Pei Chen 004; Rui Liu 009 (Briefings Bioinform., 2022)

Identifying the critical state of complex biological systems by the directed-network rank score method. - Jiayuan Zhong; Chongyin Han; Yangkai Wang; Pei Chen 004; Rui Liu 009 (Bioinform., 2022)

SPNE: sample-perturbed network entropy for revealing critical states of complex biological systems. - Jiayuan Zhong; Dandan Ding; Juntan Liu; Rui Liu 009; Pei Chen 004 (Briefings Bioinform., 2023)

SGAE: single-cell gene association entropy for revealing critical states of cell transitions during embryonic development. - Jiayuan Zhong; Chongyin Han; Pei Chen 004; Rui Liu 009 (Briefings Bioinform., 2023)

An Integrated Reservoir Predictor Based on Spatiotemporal Information Transformation. - Na Yang; Renhao Hong; Pei Chen 004; Zhengrong Liu (Int. J. Bifurc. Chaos, 2024)

Ultralow-dimensionality reduction for identifying critical transitions by spatial-temporal PCA. - Pei Chen 004; Yaofang Suo; Rui Liu 009; Luonan Chen (CoRR, 2025)