OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Carbon Emissions Estimation and Spatiotemporal Analysis of China at City Level Based on Multi-Dimensional Data and Machine Learning
Xiwen Lin, Jinji Ma, Hao Chen, et al.
Remote Sensing (2022) Vol. 14, Iss. 13, pp. 3014-3014
Open Access | Times Cited: 15

Showing 15 citing articles:

Machine learning for predicting urban greenhouse gas emissions: A systematic literature review
Yukai Jin, Ayyoob Sharifi
Renewable and Sustainable Energy Reviews (2025) Vol. 215, pp. 115625-115625
Open Access | Times Cited: 2

Modeling and spatio-temporal analysis on CO2 emissions in the Guangdong-Hong Kong-Macao greater bay area and surrounding cities based on neural network and autoencoder
Xichun Luo, Chengkun Liu, Honghao Zhao
Sustainable Cities and Society (2024) Vol. 103, pp. 105254-105254
Closed Access | Times Cited: 7

Development of an integrated machine-learning and data assimilation framework for NOx emission inversion
Yiang Chen, Jimmy Chi Hung Fung, Dehao Yuan, et al.
The Science of The Total Environment (2023) Vol. 871, pp. 161951-161951
Closed Access | Times Cited: 13

Characterizing and predicting carbon emissions from an emerging land use perspective: A comprehensive review
Haizhi Luo, Zhengguang Liu, Yingyue Li, et al.
Urban Climate (2024) Vol. 58, pp. 102141-102141
Closed Access | Times Cited: 5

City-level total and sub-category energy intensity estimation using machine learning
Fei Shen, Xiwen Lin, Hao Chen, et al.
International Journal of Digital Earth (2025) Vol. 18, Iss. 1
Open Access

The Identification and Driving Factor Analysis of Ecological-Economi Spatial Conflict in Nanjing Metropolitan Area Based on Remote Sensing Data
Ji Cao, Weidong Cao, Xianwei Fang, et al.
Remote Sensing (2022) Vol. 14, Iss. 22, pp. 5864-5864
Open Access | Times Cited: 17

Decoupling Effect and Driving Factors of Land-Use Carbon Emissions in the Yellow River Basin Using Remote Sensing Data
Xiaolei Wang, Xue Zhao, Shiru Zhang, et al.
Remote Sensing (2023) Vol. 15, Iss. 18, pp. 4446-4446
Open Access | Times Cited: 7

Interactive geographical and temporal weighted regression to explore spatio-temporal characteristics and drivers of carbon emissions
Wei Tu, Congjun Rao, Xinping Xiao, et al.
Environmental Technology & Innovation (2024), pp. 103836-103836
Open Access | Times Cited: 2

A New Method for Top-Down Inversion Estimation of Carbon Dioxide Flux Based on Deep Learning
Hui Wang, Wei‐Xue Li, Ruilin Zhou, et al.
Remote Sensing (2024) Vol. 16, Iss. 19, pp. 3694-3694
Open Access | Times Cited: 1

Resolving contributions of NO2 and SO2 to PM2.5 and O3 pollutions in the North China Plain via multi-task learning
Mingliang Ma, Mengnan Liu, Mengjiao Liu, et al.
Journal of Applied Remote Sensing (2023) Vol. 18, Iss. 01
Closed Access | Times Cited: 3

Carbon footprint assessment in manufacturing Industry 4.0 using machine learning with intelligent Internet of things
Zhao Liu, Gangying Yang, Yi Zhang
The International Journal of Advanced Manufacturing Technology (2023)
Closed Access | Times Cited: 2

The landscape of city‐level GHG emission accounts in Africa
Binyuan Liu, Yuli Shan, Riemer Kuik, et al.
Journal of Industrial Ecology (2024)
Open Access

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