H-Index & Metrics Best Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Engineering and Technology D-index 52 Citations 9,638 135 World Ranking 1251 National Ranking 140

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Machine learning
  • Ecology

His primary areas of study are Cellular automaton, Urban planning, Land use, Data mining and Artificial intelligence. His research integrates issues of Artificial neural network, Simulation and Urban evolution in his study of Cellular automaton. The Urban planning study combines topics in areas such as Environmental planning, Land development, Pearl river delta, Sustainable development and Agricultural land.

Xia Li has included themes like Cartography, Geographic information system, Urbanization and Process in his Land use study. His Data mining study integrates concerns from other disciplines, such as Algorithm, LOOP and Training set, Pattern recognition. His work deals with themes such as Simulated annealing and Urban land, which intersect with Artificial intelligence.

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?

Xia Li mainly investigates Cellular automaton, Remote sensing, Land use, Urban planning and Artificial intelligence. His Cellular automaton study combines topics in areas such as Data mining, Urban simulation, Simulation, Process and Geographic information system. His Remote sensing study integrates concerns from other disciplines, such as Land cover, Vegetation and Land development.

His research in Land use intersects with topics in Urbanization, Environmental resource management and Environmental planning. His study in Urban planning is interdisciplinary in nature, drawing from both Driving factors, Agricultural land, Urban land and Sustainable development. His Artificial intelligence research includes themes of Machine learning and Pattern recognition.

He most often published in these fields:

  • Cellular automaton (25.58%)
  • Remote sensing (21.32%)
  • Land use (23.64%)

What were the highlights of his more recent work (between 2018-2021)?

  • Land use (23.64%)
  • Cellular automaton (25.58%)
  • Urban planning (19.38%)

In recent papers he was focusing on the following fields of study:

His main research concerns Land use, Cellular automaton, Urban planning, Urbanization and Natural resource economics. The various areas that he examines in his Land use study include Convolutional neural network, Artificial intelligence, Data mining and Environmental planning. His Data mining research integrates issues from Calibration and Regional planning.

His Cellular automaton research incorporates themes from Impervious surface, Distributed computing and Urban growth boundary. His work carried out in the field of Urban planning brings together such families of science as Driving factors, Environmental resource management, Sustainable development, Population growth and Urban land. His research integrates issues of Agricultural productivity, Sustainability, Urban agglomeration and Environmental protection in his study of Urbanization.

Between 2018 and 2021, his most popular works were:

  • Global projections of future urban land expansion under shared socioeconomic pathways (50 citations)
  • High-spatiotemporal-resolution mapping of global urban change from 1985 to 2015 (41 citations)
  • Projecting global urban land expansion and heat island intensification through 2050 (35 citations)

In his most recent research, the most cited papers focused on:

  • Artificial intelligence
  • Machine learning
  • Ecology

His scientific interests lie mostly in Urbanization, Natural resource economics, Land use, Environmental protection and Cellular automaton. The Urbanization study combines topics in areas such as Environmental change, Environmental resource management, Sustainable development, Flood myth and Population growth. The Natural resource economics study which covers Socioeconomic status that intersects with Public policy, Urban expansion and Population decline.

His Land use research incorporates elements of Agricultural productivity, Global strategy, Carbon sink, Greenhouse gas and Fossil fuel. His studies in Environmental protection integrate themes in fields like Urban heat island, Primary production, Sustainability and Urban climate. In his study, Urban planning is inextricably linked to Driving factors, which falls within the broad field of Cellular automaton.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

Modelling sustainable urban development by the integration of constrained cellular automata and GIS

Xia Li;Anthony Gar-On Yeh.
International Journal of Geographical Information Science (2000)

848 Citations

Neural-network-based cellular automata for simulating multiple land use changes using GIS

Xia Li;Anthony Gar-On Yeh.
International Journal of Geographical Information Science (2002)

785 Citations

Analyzing spatial restructuring of land use patterns in a fast growing region using remote sensing and GIS

Xia Li;Anthony Gar-On Yeh.
Landscape and Urban Planning (2004)

498 Citations

Measurement and monitoring of urban sprawl in a rapidly growing region using entropy

Anthony Gar-On Yeh;Xia Li.
Photogrammetric Engineering and Remote Sensing (2001)

480 Citations

Principal component analysis of stacked multi-temporal images for the monitoring of rapid urban expansion in the Pearl River Delta

X. Li;A. G. O. Yeh.
International Journal of Remote Sensing (1998)

424 Citations

Economic Development and Agricultural Land Loss in the Pearl River Delta, China

Anthony Gar-On Yeh;Xia Li.
Habitat International (1999)

371 Citations

A future land use simulation model (FLUS) for simulating multiple land use scenarios by coupling human and natural effects

Xiaoping Liu;Xun Liang;Xia Li;Xia Li;Xiaocong Xu.
Landscape and Urban Planning (2017)

307 Citations

Cellular automata for simulating land use changes based on support vector machines

Qingsheng Yang;Xia Li;Xun Shi.
Computers & Geosciences (2008)

269 Citations

A Constrained CA Model for the Simulation and Planning of Sustainable Urban Forms by Using GIS

Anthony Gar-On Yeh;Xia Li.
Environment and Planning B-planning & Design (2001)

263 Citations

Sustainable land development model for rapid growth areas using GIS

Anthony Gar-On Yeh;Xia Li.
International Journal of Geographical Information Science (1998)

260 Citations

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Best Scientists Citing Xia Li

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Iowa State University

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