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 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.
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.
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.
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Big Data and cloud computing: innovation opportunities and challenges
Chaowei Yang;Qunying Huang;Zhenlong Li;Kai Liu.
International Journal of Digital Earth (2017)
Geographic information system
Chaowei Yang;Menas Kafatos;David W. Wong;Henry D. Wolf.
(2004)
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)
Geospatial Cyberinfrastructure: Past, present and future
Chaowei Phil Yang;Robert Raskin;Michael F. Goodchild;Mark Gahegan.
Computers, Environment and Urban Systems (2010)
Performance‐improving techniques in web‐based GIS
Chaowei Phil Yang;David Wong;Ruixin Yang;Menas Kafatos.
International Journal of Geographical Information Science (2005)
Utilizing Cloud Computing to address big geospatial data challenges
Chaowei Yang;Manzhu Yu;Fei Hu;Yongyao Jiang.
Computers, Environment and Urban Systems (2017)
Big Data in Natural Disaster Management: A Review
Manzhu Yu;Chaowei Yang;Yun Li.
Geosciences (Switzerland) (2018)
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)
Redefining the possibility of digital Earth and geosciences with spatial cloud computing
Chaowei Yang;Yan Xu;Douglas Nebert.
International Journal of Digital Earth (2013)
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)
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