What is he best known for?
The fields of study he is best known for:
- Programming language
- Algorithm
- Artificial intelligence
His primary areas of study are Theoretical computer science, Programming language, Transformation, Data structure and Model transformation.
His biological study spans a wide range of topics, including Homomorphism, Automatic parallelization, Graph rewriting, Graph and Computation.
His Programming language research includes themes of Development and Parallel computing.
His Data structure research incorporates elements of Algorithm, Functional programming and Program transformation.
His study in the field of Recursion also crosses realms of Multiple data.
His Model transformation study incorporates themes from Variety, Software development and Engineering ethics.
His most cited work include:
- Bidirectional Transformations: A Cross-Discipline Perspective (209 citations)
- Towards automatic model synchronization from model transformations (146 citations)
- A programmable editor for developing structured documents based on bidirectional transformations (129 citations)
What are the main themes of his work throughout his whole career to date?
The scientist’s investigation covers issues in Theoretical computer science, Programming language, Algorithm, Parallel computing and Functional programming.
His Theoretical computer science research is multidisciplinary, relying on both Graph rewriting, Graph, Transformation, Computation and Data structure.
His studies deal with areas such as Distributed computing and Ambiguity as well as Transformation.
His Distributed computing study integrates concerns from other disciplines, such as Synchronization and Software development.
He interconnects Parallel programming model and Programming paradigm in the investigation of issues within Parallel computing.
The concepts of his Functional programming study are interwoven with issues in Transformation language and Sequence.
He most often published in these fields:
- Theoretical computer science (37.23%)
- Programming language (27.30%)
- Algorithm (16.31%)
What were the highlights of his more recent work (between 2017-2021)?
- Programming language (27.30%)
- Distributed computing (9.57%)
- Theoretical computer science (37.23%)
In recent papers he was focusing on the following fields of study:
His primary scientific interests are in Programming language, Distributed computing, Theoretical computer science, Datalog and Graph.
His Syntactic sugar, Ambiguity, Consistency and Programmer study in the realm of Programming language connects with subjects such as Control.
As a part of the same scientific study, Zhenjiang Hu usually deals with the Ambiguity, concentrating on Bidirectional programming and frequently concerns with Model transformation and Combinatory logic.
The study incorporates disciplines such as Edge computing, Graph and Separation of concerns in addition to Distributed computing.
His work on Program synthesis as part of his general Theoretical computer science study is frequently connected to Schema, thereby bridging the divide between different branches of science.
His Graph research includes elements of Algorithm, Scalability, Programming paradigm and Shared memory.
Between 2017 and 2021, his most popular works were:
- Modelling and analysing resilient cyber-physical systems (9 citations)
- On early statistical requirements validation of cyber-physical space systems (8 citations)
- POET: Privacy on the Edge with Bidirectional Data Transformations (7 citations)
In his most recent research, the most cited papers focused on:
- Programming language
- Algorithm
- Artificial intelligence
Consistency, Ambiguity, Theoretical computer science, Shared memory and Programming language are his primary areas of study.
He combines subjects such as Control, Permission and World Wide Web with his study of Consistency.
In Ambiguity, he works on issues like Bidirectional programming, which are connected to Graph, Model transformation, Combinatory logic and Simple.
His research on Shared memory also deals with topics like
- Programming paradigm and related Shortest path problem and Parallelism,
- Graph that intertwine with fields like Parallel computing, Compiler and Computation.
His work on Programmer is typically connected to Control as part of general Programming language study, connecting several disciplines of science.
His study in Programmer is interdisciplinary in nature, drawing from both Basis and Transformation.
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