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Machine learning for spatial analyses in urban areas: a scoping review
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Machine learning for spatial analyses in urban areas: a scoping review (2022)Machine learning for spatial analyses in …Street view imagery in urban analytics and GIS: A review (2021)Street view imagery in urban …Web of Science as a data source for research on scientific and scholarly activity (2020)Web of Science as a data sour…The role of artificial intelligence in achieving the Sustainable Development Goals (2020)The role of artificial intell…Which academic search systems are suitable for systematic reviews or meta‐analyses? 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References

  • 2009Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement65,829 cited
  • 2015Guidance for conducting systematic scoping reviews7,574 cited
  • 2020The role of artificial intelligence in achieving the Sustainable Development Goals3,541 cited
  • 2019Which academic search systems are suitable for systematic reviews or meta‐analyses? Evaluating retrieval qualities of Google Scholar, PubMed, and 26 other resources2,650 cited
  • 2014Big Data, new epistemologies and paradigm shifts2,437 cited
  • 2008The Size, Scale, and Shape of Cities1,465 cited
  • 2017Learning Traffic as Images: A Deep Convolutional Neural Network for Large-Scale Transportation Network Speed Prediction1,442 cited
  • 2008Temporal and spatial changes in social vulnerability to natural hazards1,408 cited
  • 2020Web of Science as a data source for research on scientific and scholarly activity1,279 cited
  • 2012Discovering regions of different functions in a city using human mobility and POIs1,151 cited
  • 2016Urban resilience for whom, what, when, where, and why?1,035 cited
  • 2021Street view imagery in urban analytics and GIS: A review961 cited
  • 2019GeoAI: spatially explicit artificial intelligence techniques for geographic knowledge discovery and beyond648 cited
  • 2016Sensing spatial distribution of urban land use by integrating points-of-interest and Google Word2Vec model

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490 cited
  • 2007Natural Language Processing and Text Mining484 cited
  • 2018Applying gradient boosting decision trees to examine non-linear effects of the built environment on driving distance in Oslo446 cited
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