What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- China
- Statistics
His scientific interests lie mostly in Urban planning, Land development, Cellular automaton, China and Urbanization.
His Urban planning study combines topics in areas such as Economic growth, Land-use planning, Economic system and Environmental planning.
As a member of one scientific family, Anthony Gar-On Yeh mostly works in the field of Land development, focusing on Urban sprawl and, on occasion, Economic geography and Urban spatial structure.
Anthony Gar-On Yeh focuses mostly in the field of Cellular automaton, narrowing it down to matters related to Data mining and, in some cases, Artificial intelligence, Artificial neural network, Algorithm and Land use conversion.
His China research incorporates themes from Remote sensing, Economy and State.
His Urbanization research includes themes of Agricultural land, Land use and Geographic information system.
His most cited work include:
- Neural-network-based cellular automata for simulating multiple land use changes using GIS (546 citations)
- Modelling sustainable urban development by the integration of constrained cellular automata and GIS (491 citations)
- Analyzing spatial restructuring of land use patterns in a fast growing region using remote sensing and GIS (307 citations)
What are the main themes of his work throughout his whole career to date?
Anthony Gar-On Yeh focuses on China, Urban planning, Artificial intelligence, Economic growth and Economic geography.
In his study, which falls under the umbrella issue of China, Pearl river delta is strongly linked to Economy.
His research in Urban planning intersects with topics in Land use, Land-use planning, Environmental planning, Urbanization and Cellular automaton.
The concepts of his Land use study are interwoven with issues in Remote sensing and Geographic information system.
His work focuses on many connections between Cellular automaton and other disciplines, such as Artificial neural network, that overlap with his field of interest in Training set.
His Artificial intelligence research is multidisciplinary, incorporating perspectives in Machine learning, Data mining and Pattern recognition.
He most often published in these fields:
- China (24.86%)
- Urban planning (21.55%)
- Artificial intelligence (12.71%)
What were the highlights of his more recent work (between 2016-2021)?
- China (24.86%)
- Economic geography (11.05%)
- Megacity (4.42%)
In recent papers he was focusing on the following fields of study:
The scientist’s investigation covers issues in China, Economic geography, Megacity, Land cover and Remote sensing.
His China research incorporates elements of Developing country, Demographic economics and Service, Economy.
His Economy research is multidisciplinary, incorporating elements of Economic impact analysis and Pearl river delta.
His work deals with themes such as Economies of agglomeration and Urbanization, which intersect with Economic geography.
His Land cover study integrates concerns from other disciplines, such as Artificial intelligence and Pattern recognition.
His Land use study incorporates themes from Compact city, Spatial analysis and Convolutional neural network.
Between 2016 and 2021, his most popular works were:
- Measurements of POI-based mixed use and their relationships with neighbourhood vibrancy (108 citations)
- Integration of Convolutional Neural Networks and Object-Based Post-Classification Refinement for Land Use and Land Cover Mapping with Optical and SAR Data (33 citations)
- Analyzing spatial relationships between urban land use intensity and urban vitality at street block level: A case study of five Chinese megacities (26 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- China
- Statistics
His primary areas of study are China, Land use, Econometrics, Megacity and Spatial variability.
The China study combines topics in areas such as Urbanization and Economic geography.
His Urbanization research incorporates themes from Developing country, Economic system, Service and Economic globalization.
His Land use research integrates issues from Compact city and Word error rate.
His Econometrics research includes themes of Multivariate statistics, Entropy, Point of interest and Data mining.
The concepts of his Land cover study are interwoven with issues in Convolutional neural network, Artificial intelligence and Pattern recognition.
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