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Impact of digitization and artificial intelligence on carbon emissions considering variable interaction and heterogeneity

An interpretable deep learning modeling framework

Bibliographic Data

ID21233764
AuthorsGongquan Zhang (0009-0001-7269-5329, Harvard University), Shenglin Ma (0009-0008-9517-2775, North University of China), Mingxing Zheng (0000-0002-4479-8232, Dalian University of Technology, corresponding author), Cheng Li (0000-0003-3970-2424), Li Cheng (0009-0002-2002-466X, Yunnan University), Fangrong Chang (0000-0002-0241-5838, Central South University), Fangbing Zhang (0000-0002-0389-2708, Chulalongkorn University)
Year2025
Volume125
Pages106333
Publication date2025-05-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueSustainable Cities and Society (JOURNAL)
Journal identifiersISSN: 2210-6707 • E-ISSN: 2210-6715
PublisherElsevier BV (PUBLISHER)
DOI10.1016/j.scs.2025.106333
OpenAlexW4409017178
LanguageEN
Citations received2
References cited98

Computer vision · Digitization · Econometrics · Machine learning · Air Quality Monitoring and Forecasting · Computer Science · Energy, Environment, and Transportation Policies · Energy, Environment, Economic Growth · Mathematics · Artificial Intelligence

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Unique citing works2
Citations per year2
Citation span2025 - 2025 (1)
Citation velocityrecent
Highly citedNo
Citation typesNeutral: 2

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