Author Info
Name
Affiliation
Papers
XING CHEN
School of Information and Electrical Engineering,China University of Mining and Technology,Xuzhou,China
21
Collaborators
Citations 
PageRank 
47
95
9.74
Referers 
Referees 
References 
268
495
157
Search Limit
100495
Title
Citations
PageRank
Year
Dual-Network Collaborative Matrix Factorization for predicting small molecule-miRNA associations00.342022
Circular RNAs and complex diseases: from experimental results to computational models40.412021
Drug-pathway association prediction: from experimental results to computational models10.352021
Predicting potential small molecule-miRNA associations based on bounded nuclear norm regularization10.362021
Ncmcmda: Mirna-Disease Association Prediction Through Neighborhood Constraint Matrix Completion50.422021
Deep-belief network for predicting potential miRNA-disease associations00.342021
Identification of miRNA-disease associations via multiple information integration with Bayesian ranking00.342021
Microbes and complex diseases: from experimental results to computational models20.402021
MicroRNA-small molecule association identification: from experimental results to computational models.20.372020
RNA methylation and diseases: experimental results, databases, Web servers and computational models.20.392019
A Unified Framework for the Prediction of Small Molecule-MiRNA Association Based on Cross-Layer Dependency Inference on Multi-Layered Networks.00.342019
MicroRNAs and complex diseases: from experimental results to computational models.120.562019
Prediction of potential miRNA-disease associations using matrix decomposition and label propagation.10.382019
LMTRDA: Using logistic model tree to predict MiRNA-disease associations by fusing multi-source information of sequences and similarities.90.562019
Adaptive boosting-based computational model for predicting potential miRNA-disease associations.20.372019
DroidDet: Effective and robust detection of android malware using static analysis along with rotation forest model.130.842018
Predicting miRNA-disease association based on inductive matrix completion.90.732018
MDHGI: Matrix Decomposition and Heterogeneous Graph Inference for miRNA-disease association prediction.50.442018
PBMDA: A novel and effective path-based computational model for miRNA-disease association prediction.211.012017
HAMDA: Hybrid Approach for MiRNA-Disease Association prediction.50.422017
Stochastic modeling suggests that noise reduces differentiation efficiency by inducing a heterogeneous drug response in glioma differentiation therapy.10.372016