What is he best known for?
The fields of study he is best known for:
- Database
- Programming language
- Algorithm
Wenfei Fan mainly investigates Theoretical computer science, Data integrity, XML, Data mining and Information retrieval.
Wenfei Fan has researched Theoretical computer science in several fields, including Subgraph isomorphism problem, Line graph, Graph and Factor-critical graph.
His work carried out in the field of Data integrity brings together such families of science as Set and Heuristic.
His study connects Algorithm and XML.
His Data mining research is multidisciplinary, incorporating elements of Decidability, Semantics, Data quality and Path.
His work in XML validation addresses subjects such as XML database, which are connected to disciplines such as Efficient XML Interchange.
His most cited work include:
- Conditional functional dependencies for capturing data inconsistencies (345 citations)
- A cost-based model and effective heuristic for repairing constraints by value modification (330 citations)
- Keys for XML (325 citations)
What are the main themes of his work throughout his whole career to date?
His scientific interests lie mostly in Theoretical computer science, XML, Information retrieval, XML validation and Graph.
Wenfei Fan interconnects Functional dependency, Bounded function and Set in the investigation of issues within Theoretical computer science.
His XML research is multidisciplinary, incorporating perspectives in Programming language, Relational database and Data integrity.
His work deals with themes such as XML framework and XML Signature, Document Structure Description, which intersect with XML validation.
His research integrates issues of Streaming XML, Efficient XML Interchange, XML database and XML Schema Editor in his study of Document Structure Description.
His studies deal with areas such as Graph, Scalability, Computation and Pattern matching as well as Graph.
He most often published in these fields:
- Theoretical computer science (43.70%)
- XML (23.62%)
- Information retrieval (19.29%)
What were the highlights of his more recent work (between 2017-2020)?
- Graph (16.93%)
- Theoretical computer science (43.70%)
- Computation (9.06%)
In recent papers he was focusing on the following fields of study:
His main research concerns Graph, Theoretical computer science, Computation, Scalability and Satisfiability.
His Graph partition study in the realm of Graph interacts with subjects such as Curiosity.
His Theoretical computer science research includes elements of Functional dependency and Bounded function.
His Functional dependency research incorporates themes from Graph, Undecidable problem and Expressive power.
The Computation study combines topics in areas such as Upper and lower bounds, Approximation algorithm, Graph algorithms and Parallel computing.
The study incorporates disciplines such as Parallel algorithm, SQL, Set and Topology in addition to Scalability.
Between 2017 and 2020, his most popular works were:
- Discovering Graph Functional Dependencies (21 citations)
- Adaptive Asynchronous Parallelization of Graph Algorithms (16 citations)
- Application Driven Graph Partitioning (11 citations)
In his most recent research, the most cited papers focused on:
- Database
- Programming language
- Algorithm
Wenfei Fan mostly deals with Graph, Theoretical computer science, Functional dependency, Satisfiability and Synthetic data.
His Graph research is multidisciplinary, relying on both Graph, Partition, Partition and Computation.
His research on Theoretical computer science often connects related areas such as Extension.
The concepts of his Functional dependency study are interwoven with issues in Time complexity, Representation, Enhanced Data Rates for GSM Evolution, Consistency and Matching.
He has included themes like Conditional functional dependencies, Chase, Undecidable problem and Expressive power in his Satisfiability study.
As a part of the same scientific study, Wenfei Fan usually deals with the Synthetic data, concentrating on Scalability and frequently concerns with Process, Identification and Object.
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