What is he best known for?
The fields of study he is best known for:
- Algorithm
- Artificial intelligence
- Gene
Francis Y. L. Chin mostly deals with Algorithm, Combinatorics, Scheduling, Genome and Metagenomics.
His Algorithm research incorporates elements of Discrete mathematics, Base sequence and Theoretical computer science.
His work on Time complexity, Graph theory and Packing problems as part of general Combinatorics study is frequently linked to SIMPLE algorithm, bridging the gap between disciplines.
His Scheduling study integrates concerns from other disciplines, such as Upper and lower bounds, Competitive analysis and Theory of computation.
In his research on the topic of Genome, Sequence assembly and Reference genome is strongly related with De Bruijn graph.
His Metagenomics research is multidisciplinary, relying on both Data mining, Contig and Cluster analysis.
His most cited work include:
- IDBA-UD (1704 citations)
- Improved on-line broadcast scheduling with deadlines (665 citations)
- Meta-IDBA (252 citations)
What are the main themes of his work throughout his whole career to date?
Francis Y. L. Chin mainly focuses on Combinatorics, Algorithm, Competitive analysis, Online algorithm and Upper and lower bounds.
The Combinatorics study combines topics in areas such as Discrete mathematics, Sequence and Bounded function.
His work in the fields of Approximation algorithm overlaps with other areas such as Motif.
Francis Y. L. Chin interconnects Cellular network, Mathematical optimization, Combinatorial optimization and Scheduling, Job shop scheduling in the investigation of issues within Competitive analysis.
His study in Online algorithm is interdisciplinary in nature, drawing from both Bin and Bin packing problem.
His study connects Deterministic algorithm and Upper and lower bounds.
He most often published in these fields:
- Combinatorics (30.80%)
- Algorithm (28.40%)
- Competitive analysis (16.40%)
What were the highlights of his more recent work (between 2012-2020)?
- Algorithm (28.40%)
- Combinatorics (30.80%)
- Genetics (7.60%)
In recent papers he was focusing on the following fields of study:
Algorithm, Combinatorics, Genetics, Artificial intelligence and Sequence are his primary areas of study.
His study in the field of Binary tree also crosses realms of Revenue.
His research in Combinatorics intersects with topics in Bounded function and Online algorithm.
His Genetics study also includes fields such as
- Sequence assembly which is related to area like De Bruijn graph and Reference genome,
- Computational biology which is related to area like Metagenomics, Microbial genome and Time complexity.
His biological study spans a wide range of topics, including Center, Upper and lower bounds, Star and Product.
His work deals with themes such as Lineage and Microbiology, which intersect with Genome.
Between 2012 and 2020, his most popular works were:
- IDBA-tran: a more robust de novo de Bruijn graph assembler for transcriptomes with uneven expression levels. (134 citations)
- Cellular adhesiveness and cellulolytic capacity in Anaerolineae revealed by omics-based genome interpretation. (78 citations)
- Cellular adhesiveness and cellulolytic capacity in Anaerolineae revealed by omics-based genome interpretation. (78 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Algorithm
- Gene
Francis Y. L. Chin focuses on Genetics, Genome, Sequence assembly, Metagenomics and Genomics.
His study in the fields of Contig and DNA sequencing under the domain of Genetics overlaps with other disciplines such as Thermophile.
His Genome research is multidisciplinary, incorporating perspectives in Annotation and Artificial intelligence.
The study incorporates disciplines such as De Bruijn graph and Reference genome in addition to Sequence assembly.
His De Bruijn graph study incorporates themes from Base, Bacterial genome size, Algorithm, Chromosome and Tandem repeat.
Francis Y. L. Chin combines subjects such as Biomass, Biotechnology, Biorefinery, Carbohydrate metabolism and Phylogenetics with his study of Metagenomics.
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