D-Index & Metrics Best Publications

D-Index & Metrics D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines.

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Computer Science D-index 34 Citations 5,296 160 World Ranking 8101 National Ranking 3775

Overview

What is he best known for?

The fields of study he is best known for:

  • Operating system
  • The Internet
  • Database

Chaowei Yang mainly focuses on Data science, Cloud computing, Big data, World Wide Web and Geospatial analysis. His research in Data science intersects with topics in Service-oriented architecture and Information technology. Chaowei Yang has researched Cloud computing in several fields, including Scalability, Analytics, Supercomputer and Digital Earth.

In his study, which falls under the umbrella issue of Big data, Grand Challenges is strongly linked to Natural hazard. His work is dedicated to discovering how World Wide Web, Cyberinfrastructure are connected with Enterprise architecture and Geographic information systems in geospatial intelligence and other disciplines. His studies deal with areas such as End-user computing and Geovisualization as well as Geospatial analysis.

His most cited work include:

  • Big Data and cloud computing: innovation opportunities and challenges (299 citations)
  • Spatial cloud computing: how can the geospatial sciences use and help shape cloud computing? (290 citations)
  • Geospatial Cyberinfrastructure: Past, present and future (272 citations)

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

His main research concerns Geospatial analysis, Data science, Cloud computing, Big data and World Wide Web. His research integrates issues of Metadata, Cyberinfrastructure, Database, Information retrieval and Geographic information system in his study of Geospatial analysis. His Database study combines topics in areas such as Web application and AM/FM/GIS.

His Data science research integrates issues from Social media, Decision support system, Spatial analysis and Visualization. His Cloud computing research is multidisciplinary, incorporating perspectives in Analytics, Distributed computing and Digital Earth. His Big data research incorporates themes from Climate model and Search engine indexing.

He most often published in these fields:

  • Geospatial analysis (33.33%)
  • Data science (29.24%)
  • Cloud computing (23.39%)

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

  • Data science (29.24%)
  • Coronavirus disease 2019 (8.19%)
  • Big data (18.13%)

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

Chaowei Yang spends much of his time researching Data science, Coronavirus disease 2019, Big data, Pandemic and Cloud computing. His work deals with themes such as Social media, Data discovery and Data analysis, which intersect with Data science. Many of his research projects under Coronavirus disease 2019 are closely connected to Air quality index, 2019-20 coronavirus outbreak, Nitrogen dioxide and Socioeconomics with Air quality index, 2019-20 coronavirus outbreak, Nitrogen dioxide and Socioeconomics, tying the diverse disciplines of science together.

The concepts of his Big data study are interwoven with issues in Hash function, Array DBMS and Data cube. His Cloud computing research incorporates elements of Scale, Analytics, Database and Remote sensing, Digital Earth. His Geospatial analysis study incorporates themes from Mashup, Web service, Web page, The Internet and Interoperability.

Between 2018 and 2021, his most popular works were:

  • Spatiotemporal patterns of COVID-19 impact on human activities and environment in Mainland China using nighttime light and air quality data (35 citations)
  • Taking the pulse of COVID-19: a spatiotemporal perspective (35 citations)
  • Spatiotemporal Patterns of COVID-19 Impact on Human Activities and Environment in China Using Nighttime Light and Air Quality Data (32 citations)

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

  • Operating system
  • The Internet
  • Database

Chaowei Yang focuses on Data science, Coronavirus disease 2019, Social media, Air quality index and Data analysis. In his research on the topic of Data science, Markov clustering is strongly related with Big data. His study in the field of Severe acute respiratory syndrome coronavirus 2 also crosses realms of 2019-20 coronavirus outbreak, Pulse, Economic geography and Nitrogen dioxide.

Chaowei Yang studied Social media and Situation awareness that intersect with Convolutional neural network, Crowdsourcing, Natural hazard and Reliability. His work carried out in the field of Air quality index brings together such families of science as Monthly average and Radiance. His work in Data analysis covers topics such as Satellite which are related to areas like Geospatial analysis.

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

Big Data and cloud computing: innovation opportunities and challenges

Chaowei Yang;Qunying Huang;Zhenlong Li;Kai Liu.
International Journal of Digital Earth (2017)

618 Citations

Geographic information system

Chaowei Yang;Menas Kafatos;David W. Wong;Henry D. Wolf.
(2004)

435 Citations

Spatial cloud computing: how can the geospatial sciences use and help shape cloud computing?

Chaowei Yang;Michael F. Goodchild;Qunying Huang;Doug Nebert.
International Journal of Digital Earth (2011)

431 Citations

Geospatial Cyberinfrastructure: Past, present and future

Chaowei Phil Yang;Robert Raskin;Michael F. Goodchild;Mark Gahegan.
Computers, Environment and Urban Systems (2010)

413 Citations

Performance‐improving techniques in web‐based GIS

Chaowei Phil Yang;David Wong;Ruixin Yang;Menas Kafatos.
International Journal of Geographical Information Science (2005)

235 Citations

Utilizing Cloud Computing to address big geospatial data challenges

Chaowei Yang;Manzhu Yu;Fei Hu;Yongyao Jiang.
Computers, Environment and Urban Systems (2017)

188 Citations

Big Data in Natural Disaster Management: A Review

Manzhu Yu;Chaowei Yang;Yun Li.
Geosciences (Switzerland) (2018)

167 Citations

Using spatial principles to optimize distributed computing for enabling the physical science discoveries.

Chaowei Yang;Huayi Wu;Qunying Huang;Zhenlong Li.
Proceedings of the National Academy of Sciences of the United States of America (2011)

137 Citations

Redefining the possibility of digital Earth and geosciences with spatial cloud computing

Chaowei Yang;Yan Xu;Douglas Nebert.
International Journal of Digital Earth (2013)

123 Citations

Spatiotemporal patterns of COVID-19 impact on human activities and environment in Mainland China using nighttime light and air quality data

Qian Liu;Dexuan Sha;Wei Liu;Paul R. Houser.
Remote Sensing (2020)

99 Citations

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