What is he best known for?
The fields of study he is best known for:
- Gene
- Artificial intelligence
- Machine learning
His primary areas of investigation include Data mining, Gene regulatory network, Computational biology, Theoretical computer science and Modularity.
His work deals with themes such as Gene chip analysis, Fuzzy logic, Mutation and Cluster analysis, which intersect with Data mining.
His study in Gene regulatory network is interdisciplinary in nature, drawing from both DNA microarray and Biological network.
His research integrates issues of Genetics and Gene in his study of Computational biology.
The study incorporates disciplines such as Superlinear convergence, Applied mathematics and Unconstrained optimization in addition to Theoretical computer science.
Xiang-Sun Zhang interconnects Function, Community structure and Complex network in the investigation of issues within Modularity.
His most cited work include:
- Identification of overlapping community structure in complex networks using fuzzy c-means clustering (438 citations)
- Quantitative function for community detection. (278 citations)
- Inferring gene regulatory networks from multiple microarray datasets (272 citations)
What are the main themes of his work throughout his whole career to date?
Xiang-Sun Zhang focuses on Computational biology, Data mining, Bioinformatics, Artificial intelligence and Systems biology.
Xiang-Sun Zhang has included themes like DNA microarray and Genetics, Gene, Protein–protein interaction in his Computational biology study.
His Data mining research incorporates themes from Gene expression, Conditional random field and Community structure.
His study on Community structure also encompasses disciplines like
- Cluster analysis together with Theoretical computer science,
- Modularity which intersects with area such as Algorithm.
His research in Artificial intelligence intersects with topics in Machine learning, Pattern recognition and Complex network.
His study looks at the relationship between Systems biology and fields such as Gene regulatory network, as well as how they intersect with chemical problems.
He most often published in these fields:
- Computational biology (27.49%)
- Data mining (18.71%)
- Bioinformatics (17.54%)
What were the highlights of his more recent work (between 2012-2021)?
- Systems biology (15.20%)
- Computational biology (27.49%)
- Theoretical computer science (13.45%)
In recent papers he was focusing on the following fields of study:
His main research concerns Systems biology, Computational biology, Theoretical computer science, Bioinformatics and Artificial intelligence.
His studies in Systems biology integrate themes in fields like Mutation, Carcinogenesis, Data science and Gene regulatory network.
His Computational biology research integrates issues from Cell, Genome, Gene, Genetics and DNA microarray.
Xiang-Sun Zhang has researched Theoretical computer science in several fields, including Complete information, Bipartite graph, Graph, Community structure and Complex network.
Xiang-Sun Zhang works mostly in the field of Artificial intelligence, limiting it down to topics relating to Machine learning and, in certain cases, Gene sets, Data mining, Sequence analysis and Sequence.
His biological study spans a wide range of topics, including Function and Modularity.
Between 2012 and 2021, his most popular works were:
- De novo prediction of RNA–protein interactions from sequence information (77 citations)
- Discovery of co-occurring driver pathways in cancer (59 citations)
- Breast tumor subgroups reveal diverse clinical prognostic power. (46 citations)
In his most recent research, the most cited papers focused on:
- Gene
- Artificial intelligence
- Machine learning
Cancer, Gene regulatory network, Bioinformatics, Carcinogenesis and Mutation are his primary areas of study.
His biological study deals with issues like Gene, which deal with fields such as Oncology and Trastuzumab.
His Gene regulatory network research is included under the broader classification of Genetics.
As a member of one scientific family, Xiang-Sun Zhang mostly works in the field of Genetics, focusing on Network model and, on occasion, Gene expression and Computational biology.
His Bioinformatics study incorporates themes from Cancer cell, Cancer stem cell and Evolvability.
The various areas that he examines in his Carcinogenesis study include DNA microarray, Genome, Function and Biological data.
This overview was generated by a machine learning system which analysed the scientist’s
body of work. If you have any feedback, you can
contact us
here.
