H-Index & Metrics Best Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science D-index 43 Citations 6,607 272 World Ranking 3866 National Ranking 360

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Statistics
  • Machine learning

The scientist’s investigation covers issues in Artificial intelligence, Remote sensing, Computer vision, Pattern recognition and Image resolution. His work in Artificial intelligence is not limited to one particular discipline; it also encompasses Matching. His studies deal with areas such as Vegetation, Normalized Difference Vegetation Index and Fractal analysis as well as Remote sensing.

Feature extraction and Subpixel rendering are among the areas of Computer vision where Wenzhong Shi concentrates his study. His research integrates issues of Contextual image classification and Data mining in his study of Pattern recognition. The various areas that Wenzhong Shi examines in his Image resolution study include Image fusion and Multispectral image.

His most cited work include:

  • Metal contamination in urban, suburban, and country park soils of Hong Kong: a study based on GIS and multivariate statistics. (518 citations)
  • The study of metal contamination in urban soils of Hong Kong using a GIS-based approach. (366 citations)
  • Wavelet-based image fusion and quality assessment (176 citations)

What are the main themes of his work throughout his whole career to date?

His primary areas of investigation include Artificial intelligence, Remote sensing, Computer vision, Pattern recognition and Data mining. His study in Pixel, Change detection, Image, Feature extraction and Image resolution is done as part of Artificial intelligence. The study incorporates disciplines such as Image fusion and Multispectral image in addition to Image resolution.

His Remote sensing study focuses mostly on Remote sensing and Lidar. The concepts of his Pattern recognition study are interwoven with issues in Contextual image classification, Cluster analysis and Fuzzy logic. His work is dedicated to discovering how Data mining, Geographic information system are connected with Spatial analysis and other disciplines.

He most often published in these fields:

  • Artificial intelligence (31.11%)
  • Remote sensing (19.56%)
  • Computer vision (17.78%)

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

  • Artificial intelligence (31.11%)
  • Change detection (10.44%)
  • Remote sensing (19.56%)

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

Wenzhong Shi mostly deals with Artificial intelligence, Change detection, Remote sensing, Pattern recognition and Remote sensing. Wenzhong Shi frequently studies issues relating to Computer vision and Artificial intelligence. Wenzhong Shi combines subjects such as Transformation and Point with his study of Computer vision.

Wenzhong Shi has researched Change detection in several fields, including Uncertainty analysis, Land use, Artificial neural network, Image and Robustness. He studied Remote sensing and Mean squared error that intersect with Aerosol and AERONET. His study focuses on the intersection of Pattern recognition and fields such as Cluster analysis with connections in the field of Image segmentation.

Between 2018 and 2021, his most popular works were:

  • Examining the sensitivity of spatial scale in cellular automata Markov chain simulation of land use change (28 citations)
  • Change Detection Based on Artificial Intelligence: State-of-the-Art and Challenges (16 citations)
  • Monitoring of Land Use/Land Cover and Socioeconomic Changes in South China over the Last Three Decades Using Landsat and Nighttime Light Data (13 citations)

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

  • Artificial intelligence
  • Statistics
  • Machine learning

His main research concerns Artificial intelligence, Change detection, Pattern recognition, Remote sensing and Land use. His Artificial intelligence research integrates issues from Open data and Scale. His Change detection research is multidisciplinary, relying on both Uncertainty analysis, Agriculture, Vegetation, Normalized Difference Vegetation Index and Field.

His Pattern recognition research incorporates themes from Remote sensing, Training, Feature and Robustness. His Remote sensing research is multidisciplinary, incorporating elements of Mode, Envelope, Mean squared error, Moderate-resolution imaging spectroradiometer and Neighbourhood. His Land use research is multidisciplinary, incorporating perspectives in Urbanization, Afforestation, Forestry and Urban area.

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

Metal contamination in urban, suburban, and country park soils of Hong Kong: a study based on GIS and multivariate statistics.

Celine Siu Lan Lee;Xiangdong Li;Wen Zhong Shi;Sharon Ching Nga Cheung.
Science of The Total Environment (2006)

787 Citations

The study of metal contamination in urban soils of Hong Kong using a GIS-based approach.

Xiangdong Li;Siu Ian Lee;Sze Chung Wong;Wen Zhong Shi.
Environmental Pollution (2004)

525 Citations

Wavelet-based image fusion and quality assessment

Wen Zhong Shi;Chang Qing Zhu;Yan Tian;Janet Elizabeth Nichol.
International Journal of Applied Earth Observation and Geoinformation (2005)

284 Citations

Quality assessment for geo‐spatial objects derived from remotely sensed data

Qingming Zhan;Martien Molenaar;Klaus Tempfli;Wenzhong Shi.
International Journal of Remote Sensing (2005)

235 Citations

Spatial Data Quality

Wenzhong Shi;F. Peter Fisher;Michael F. Goodchild.
(2002)

184 Citations

Principles of Modeling Uncertainties in Spatial Data and Spatial Analyses

Wen Zhong Shi.
(2009)

183 Citations

A stochastic process-based model for the positional error of line segments in GIS

Wenzhong Shi;Wenbao Liu.
International Journal of Geographical Information Science (2000)

179 Citations

Performance Evaluation of Line Simplification Algorithms for Vector Generalization

Wen Zhong Shi;Chui Kwan Cheung.
Cartographic Journal (2006)

172 Citations

An Integrated Method for Urban Main-Road Centerline Extraction From Optical Remotely Sensed Imagery

Wenzhong Shi;Zelang Miao;Johan Debayle.
IEEE Transactions on Geoscience and Remote Sensing (2014)

165 Citations

The line segment match method for extracting road network from high-resolution satellite images

Wenzhong Shi;Changqing Zhu.
IEEE Transactions on Geoscience and Remote Sensing (2002)

159 Citations

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