Author Info
Name
Affiliation
Papers
KAI ZHENG
Chinese Acad Sci, Xinjiang Tech Inst Phys & Chem, Urumqi, Peoples R China
12
Collaborators
Citations 
PageRank 
25
16
4.39
Referers 
Referees 
References 
55
48
10
Title
Citations
PageRank
Year
Ldgrnmf: Lncrna-Disease Associations Prediction Based On Graph Regularized Non-Negative Matrix Factorization10.352021
GCNSP: A Novel Prediction Method of Self-Interacting Proteins Based on Graph Convolutional Networks.00.342020
GCNCDA: A new method for predicting circRNA-disease associations based on Graph Convolutional Network Algorithm.30.392020
DTIFS: A Novel Computational Approach for Predicting Drug-Target Interactions from Drug Structure and Protein Sequence.00.342020
Predicting Human Disease-Associated piRNAs Based on Multi-source Information and Random Forest.00.342020
Inferring Disease-Associated Piwi-Interacting RNAs via Graph Attention Networks.00.342020
CGMDA: An Approach to Predict and Validate MicroRNA-Disease Associations by Utilizing Chaos Game Representation and LightGBM00.342019
Predicting circRNA-disease associations using deep generative adversarial network based on multi-source fusion information10.362019
Predicting of Drug-Disease Associations via Sparse Auto-Encoder-Based Rotation Forest00.342019
LMTRDA: Using logistic model tree to predict MiRNA-disease associations by fusing multi-source information of sequences and similarities.90.562019
Combining Evolutionary Information and Sparse Bayesian Probability Model to Accurately Predict Self-interacting Proteins00.342019
MISSIM: Improved miRNA-Disease Association Prediction Model Based on Chaos Game Representation and Broad Learning System20.362019