What is he best known for?
The fields of study he is best known for:
His primary scientific interests are in Genetics, Nonsynonymous substitution, Phylogenetic tree, Phylogenetics and Evolutionary biology.
His biological study spans a wide range of topics, including Statistics and Substitution.
Ziheng Yang has included themes like Synonymous substitution, Neutral theory of molecular evolution, Molecular evolution and Selection in his Nonsynonymous substitution study.
His Phylogenetic tree research is multidisciplinary, relying on both Algorithm, Genome and Genetic algorithm.
His study on Phylogenetics also encompasses disciplines like
- Prior probability together with Ecology, Coalescent theory and Markov chain Monte Carlo,
- Posterior probability which is related to area like Bayes' theorem, Bayesian inference and Tree,
- Markov process which is related to area like Branching process and Markov chain.
His Evolutionary biology study incorporates themes from Natural selection, Positive selection, Lineage and Molecular phylogenetics.
His most cited work include:
- PAML 4: Phylogenetic Analysis by Maximum Likelihood (7828 citations)
- PAML: a program package for phylogenetic analysis by maximum likelihood (4483 citations)
- Maximum likelihood phylogenetic estimation from DNA sequences with variable rates over sites: approximate methods. (2267 citations)
What are the main themes of his work throughout his whole career to date?
Ziheng Yang mostly deals with Genetics, Evolutionary biology, Phylogenetic tree, Phylogenetics and Statistics.
His Genetics research incorporates themes from Substitution and Selection.
The Evolutionary biology study combines topics in areas such as Genetic Speciation, Ecology, Lineage and Coalescent theory.
His Phylogenetic tree study frequently links to other fields, such as Gamma distribution.
As a part of the same scientific family, Ziheng Yang mostly works in the field of Statistics, focusing on Inference and, on occasion, Ancestral reconstruction.
The various areas that Ziheng Yang examines in his Nonsynonymous substitution study include Positive selection, Molecular evolution, Neutral theory of molecular evolution and Transversion.
He most often published in these fields:
- Genetics (38.05%)
- Evolutionary biology (33.67%)
- Phylogenetic tree (27.27%)
What were the highlights of his more recent work (between 2015-2021)?
- Coalescent theory (24.58%)
- Bayesian inference (19.19%)
- Bayesian probability (27.95%)
In recent papers he was focusing on the following fields of study:
Ziheng Yang spends much of his time researching Coalescent theory, Bayesian inference, Bayesian probability, Evolutionary biology and Phylogenetic tree.
His Coalescent theory study combines topics from a wide range of disciplines, such as Species complex, Introgression, Tree, Locus and Gene flow.
His Bayesian inference research integrates issues from Molecular clock, Bayes' theorem, Econometrics and Model selection.
As part of his studies on Evolutionary biology, he often connects relevant subjects like Phylogenetics.
His Phylogenetic tree study deals with the bigger picture of Genetics.
His Genetics research includes themes of Data mining and Bioinformatics.
Between 2015 and 2021, his most popular works were:
- The timescale of early land plant evolution (296 citations)
- The timescale of early land plant evolution (296 citations)
- Bayesian molecular clock dating of species divergences in the genomics era (144 citations)
In his most recent research, the most cited papers focused on:
His main research concerns Bayesian inference, Bayesian probability, Coalescent theory, Bayes' theorem and Phylogenetic tree.
His Bayesian probability research incorporates elements of Computational biology and Locus.
To a larger extent, he studies Statistics with the aim of understanding Bayes' theorem.
His work deals with themes such as Evolutionary biology, Tree, Phylogenetics and Inference, which intersect with Phylogenetic tree.
His Inference research includes elements of Genetics, Concatenation, Data mining and Tree rearrangement.
Ziheng Yang interconnects Spurious relationship, Selection and Econometrics in the investigation of issues within Posterior probability.
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