What is he best known for?
The fields of study he is best known for:
- The Internet
- Artificial intelligence
- Database
Workflow, Workflow technology, Workflow engine, Workflow management system and Business process management are his primary areas of study.
His study in Workflow is interdisciplinary in nature, drawing from both World Wide Web and The Internet.
His study in the field of XPDL also crosses realms of Turnaround time.
His Workflow engine research integrates issues from Field, Management science and Engineering management.
The study incorporates disciplines such as Service-oriented architecture, Web service, Services computing, Database and Process management in addition to Business process management.
J. Leon Zhao works mostly in the field of Process management, limiting it down to topics relating to Web development and, in certain cases, Knowledge management, as a part of the same area of interest.
His most cited work include:
- Can e-learning replace classroom learning? (628 citations)
- Time series classification using multi-channels deep convolutional neural networks (271 citations)
- Workflow Automation: Overview and Research Issues (235 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of investigation include Knowledge management, Workflow, Workflow management system, Process management and Workflow technology.
His studies deal with areas such as Services computing, Software development and Social network as well as Knowledge management.
His Workflow research is multidisciplinary, incorporating perspectives in Business process management, Business process and Software engineering.
His Business process management research includes themes of Business process modeling and Database.
His work on Data science expands to the thematically related Business process.
His study in XPDL and Workflow Management Coalition is carried out as part of his Workflow engine studies.
He most often published in these fields:
- Knowledge management (23.92%)
- Workflow (20.78%)
- Workflow management system (12.16%)
What were the highlights of his more recent work (between 2014-2021)?
- Knowledge management (23.92%)
- Data science (9.80%)
- Advertising (5.10%)
In recent papers he was focusing on the following fields of study:
His main research concerns Knowledge management, Data science, Advertising, Affect and Social media.
His Knowledge management research is multidisciplinary, incorporating elements of Open source and Social network.
His Data science research incorporates elements of Topic model, Data modeling, Artifact-centric business process model, Business process modeling and Big data.
J. Leon Zhao interconnects Externalization and Information systems research in the investigation of issues within Topic model.
His work on Word of mouth as part of general Advertising research is often related to Perspective, thus linking different fields of science.
His Affect study incorporates themes from Expectancy theory, Knowledge sharing and Open research.
Between 2014 and 2021, his most popular works were:
- Overview of business innovations and research opportunities in blockchain and introduction to the special issue (181 citations)
- Demystifying Big Data Analytics for Business Intelligence Through the Lens of Marketing Mix (134 citations)
- Exploiting multi-channels deep convolutional neural networks for multivariate time series classification (92 citations)
In his most recent research, the most cited papers focused on:
- The Internet
- Artificial intelligence
- Database
His scientific interests lie mostly in Data science, Big data, Affect, Smart contract and Blockchain.
The Data science study combines topics in areas such as Quality and Business process discovery, Business process, Artifact-centric business process model, Business process modeling.
He works mostly in the field of Business process discovery, limiting it down to topics relating to Knowledge management and, in certain cases, Data mining.
He has researched Data mining in several fields, including Dynamic time warping, Artificial intelligence and Pattern recognition.
His Big data study combines topics from a wide range of disciplines, such as Electronic business, Credit risk and Operations research.
His Business process management research is multidisciplinary, relying on both XPDL, Workflow management system, Workflow engine, Workflow and Domain knowledge.
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