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JIANXIN CHEN
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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
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100
399
Publications (16 rows)
Collaborators (83 rows)
Referers (100 rows)
Referees (100 rows)
Title
Citations
PageRank
Year
TMNP: a transcriptome-based multi-scale network pharmacology platform for herbal medicine
0
0.34
2022
HerGePred: Heterogeneous Network Embedding Representation for Disease Gene Prediction
1
0.36
2019
Symmap: An Integrative Database Of Traditional Chinese Medicine Enhanced By Symptom Mapping
0
0.34
2019
Graph-Fcn For Image Semantic Segmentation
2
0.36
2019
Heterogeneous network embedding for identifying symptom candidate genes.
3
0.40
2018
Heterogeneous network propagation for herb target identification.
1
0.35
2018
Matrix Factorization-Based Prediction of Novel Drug Indications by Integrating Genomic Space
2
0.39
2015
Large-scale exploration and analysis of drug combinations.
16
0.93
2015
Investigating the pattern of syndrome based on the difference of symptom network in depression
0
0.34
2013
A new method of modeling of inquiry diagnosis for coronary heart disease in traditional Chinese medicine.
2
0.53
2011
Classification and diagnosis of syndromes in Chinese medicine in the context of coronary heart disease model based on data mining methods
0
0.34
2010
A Proteome Characteristic Pattern of Unstable Angina was Found by Two-Dimensional Difference Gel Electrophoresis and Least Angle Regression
0
0.34
2009
The study on the relationship between inflammatory factors and cardiac function based on chronic myocardial ischemia (syndrome of blood stasis model)
0
0.34
2009
Bridge the gap between syndrome in Traditional Chinese Medicine and proteome in western medicine by unsupervised pattern discovery algorithm
2
0.49
2008
Phase Transitions Caused by Threshold in Random Neural Network and Its Medical Applications
0
0.34
2007
A Comparison of Four Data Mining Models: Bayes, Neural Network, SVM and Decision Trees in Identifying Syndromes in Coronary Heart Disease
4
0.52
2007
1