Environment and Planning B-Urban Analytics and City Science

Papers
(The H4-Index of Environment and Planning B-Urban Analytics and City Science is 17. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-03-01 to 2024-03-01.)
ArticleCitations
The Coronavirus crisis: What will the post-pandemic city look like?76
How can the urban landscape affect urban vitality at the street block level? A case study of 15 metropolises in China48
Will coronavirus cause a big city exodus?33
Measuring urban form: Overcoming terminological inconsistencies for a quantitative and comprehensive morphologic analysis of cities32
Validating activity, time, and space diversity as essential components of urban vitality30
Modeling the relationships between historical redlining, urban heat, and heat-related emergency department visits: An examination of 11 Texas cities29
Urban function recognition by integrating social media and street-level imagery28
The interplay of spatial spread of COVID-19 and human mobility in the urban system of China during the Chinese New Year26
Classifying settlement types from multi-scale spatial patterns of building footprints22
Sidewalk extraction using aerial and street view images21
Examining the spatial distribution and temporal change of the green view index in New York City using Google Street View images and deep learning21
An urban informatics approach to understanding residential mobility in Metro Chicago20
Planning support science: Developments and challenges20
Avoiding the planning support system pitfalls? What smart governance can learn from the planning support system implementation gap19
Understanding commuting patterns and changes: Counterfactual analysis in a planning support framework18
Polycentric urban development and urban amenities: Evidence from Chinese cities18
A new toolkit for land value analysis and scenario planning17
Associations between the quality of street space and the attributes of the built environment using large volumes of street view pictures17
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