Name
Affiliation
Papers
JIANXIN CHEN
Key Laboratory of Complex Systems and Intelligence Science, Institute of Automation, Chinese Academy of Sciences, 100080, Beijing, China
16
Collaborators
Citations 
PageRank 
83
33
6.69
Referers 
Referees 
References 
150
399
77
Search Limit
100399
Title
Citations
PageRank
Year
TMNP: a transcriptome-based multi-scale network pharmacology platform for herbal medicine00.342022
HerGePred: Heterogeneous Network Embedding Representation for Disease Gene Prediction10.362019
Symmap: An Integrative Database Of Traditional Chinese Medicine Enhanced By Symptom Mapping00.342019
Graph-Fcn For Image Semantic Segmentation20.362019
Heterogeneous network embedding for identifying symptom candidate genes.30.402018
Heterogeneous network propagation for herb target identification.10.352018
Matrix Factorization-Based Prediction of Novel Drug Indications by Integrating Genomic Space20.392015
Large-scale exploration and analysis of drug combinations.160.932015
Investigating the pattern of syndrome based on the difference of symptom network in depression00.342013
A new method of modeling of inquiry diagnosis for coronary heart disease in traditional Chinese medicine.20.532011
Classification and diagnosis of syndromes in Chinese medicine in the context of coronary heart disease model based on data mining methods00.342010
A Proteome Characteristic Pattern of Unstable Angina was Found by Two-Dimensional Difference Gel Electrophoresis and Least Angle Regression00.342009
The study on the relationship between inflammatory factors and cardiac function based on chronic myocardial ischemia (syndrome of blood stasis model)00.342009
Bridge the gap between syndrome in Traditional Chinese Medicine and proteome in western medicine by unsupervised pattern discovery algorithm20.492008
Phase Transitions Caused by Threshold in Random Neural Network and Its Medical Applications00.342007
A Comparison of Four Data Mining Models: Bayes, Neural Network, SVM and Decision Trees in Identifying Syndromes in Coronary Heart Disease40.522007