Computers Environment and Urban Systems

Papers
(The H4-Index of Computers Environment and Urban Systems is 37. 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 2021-12-01 to 2025-12-01.)
ArticleCitations
An ANN-based method for population Dasymetric mapping to avoid the scale heterogeneity: A case study in Hong Kong, 2016–2021693
Model-based estimation of the isolated impacts of urban expansion on projected streamflow values under varied climate scenarios112
Rooftop segmentation and optimization of photovoltaic panel layouts in digital surface models102
Modeling shared e-micromobility as a label propagation process for detecting overlapping communities96
Navigating the post-pandemic urban landscape: Disparities in transportation recovery & regional insights from New York City94
Function and form of U.S. cities89
A building volume adjusted nighttime light index for characterizing the relationship between urban population and nighttime light intensity83
A land-use transport-interaction framework for large scale strategic urban modeling79
How far are we towards sustainable Carfree cities combining shared autonomous vehicles with park-and-ride: An agent-based simulation assessment for Brussels77
An integrated global model of local urban development and population change76
Streetscapes as part of servicescapes: Can walkable streetscapes make local businesses more attractive?75
Locating offenders: Introducing the reverse spatial patterning approach67
Enhanced solution capabilities for multiple patch land allocation61
Characterizing residential segregation in cities using intensity, separation, and scale indicators61
Using a deep learning model to quantify trash accumulation for cleaner urban stormwater59
Analyzing usage patterns from video data through deep learning: The case of an urban park56
Augmenting the Social Vulnerability Index using an agent-based simulation of Hurricane Harvey54
Using street-view panoramas to model the decision-making complexity of road intersections based on the passing branches during navigation52
Large-scale agent-based modelling of street robbery using graphical processing units and reinforcement learning51
Delineating urban functional zones using mobile phone data: A case study of cross-boundary integration in Shenzhen-Dongguan-Huizhou area49
Detecting cities with high intermediacy in the African urban network49
A simple agent-based model for planning for bicycling: Simulation of bicyclists' movements in urban environments49
Understanding the protection of privacy when counting subway travelers through anonymization48
Homogeneity and heterogeneity of diurnal and nocturnal hotspots and the implications for synergetic mitigation in heat-resilient urban planning48
Capturing the spatial arrangement of POIs in crime modeling47
Editorial Board46
Corrigendum to “An integrated physical-social analysis of disrupted access to critical facilities and community service-loss tolerance in urban flooding” [Computers, Environment and Urban Systems 80 (45
Machine learning to model gentrification: A synthesis of emerging forms44
Hedonic price models, social media data and AI – An application to the AIRBNB sector in us cities43
Strategic allocation of landmarks to reduce uncertainty in indoor navigation43
Delineating functional urban areas in Chinese mega city regions using fine-grained population data and cellphone location data: A case of Pearl River Delta41
Does partition matter? A new approach to modeling land use change41
Interpretable machine learning models for crime prediction38
A graph-based neural network approach to integrate multi-source data for urban building function classification38
Towards a scalable and transferable approach to map deprived areas using Sentinel-2 images and machine learning37
Community time-activity trajectory modeling based on Markov chain simulation and Dirichlet regression37
Machine learning application to spatio-temporal modeling of urban growth37
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