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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:

Analysis of spatial and temporal carbon emission efficiency in Yangtze River Delta city cluster — Based on nighttime lighting data and machine learning
Qingqing Sun, Hong Chen, Yujie Wang, et al.
Environmental Impact Assessment Review (2023) Vol. 103, pp. 107232-107232
Closed Access | Times Cited: 18

Showing 18 citing articles:

Multi-scale carbon emission characterization and prediction based on land use and interpretable machine learning model: A case study of the Yangtze River Delta Region, China
Haizhi Luo, Chenglong Wang, Cangbai Li, et al.
Applied Energy (2024) Vol. 360, pp. 122819-122819
Closed Access | Times Cited: 34
Agri-food evolution and carbon emissions in Chinese residential consumption: A life cycle analysis of urban-rural disparities and socioeconomic influences
Arshad Ahmad Khan, Bingjing Mei, Sufyan Ullah Khan, et al.
Environmental Impact Assessment Review (2023) Vol. 105, pp. 107387-107387
Closed Access | Times Cited: 24
Exploring provincial carbon-pollutant emission efficiency in China: An integrated approach with social network analysis and spatial econometrics
Chaoping Zhu, Yixuan Su, Ruguo Fan, et al.
Ecological Indicators (2024) Vol. 159, pp. 111662-111662
Open Access | Times Cited: 14
Exploring the key influencing factors of low-carbon innovation from urban characteristics in China using interpretable machine learning
Wentao Wang, Dezhi Li, Shenghua Zhou, et al.
Environmental Impact Assessment Review (2024) Vol. 107, pp. 107573-107573
Closed Access | Times Cited: 14
Exploring the spatial association characteristics of carbon emission efficiency in China’s construction industry: A network perspective
Fangliang Wang, Qi Zhang
Energy and Buildings (2025) Vol. 329, pp. 115289-115289
Closed Access
The correlation between water‑carbon and urban spatial form in built-up areas: Evidence from Shenzhen City, China
Gaoyuan Wang, Muhan Li, Yangli Li, et al.
Urban Climate (2025) Vol. 59, pp. 102292-102292
Closed Access
Toward a low-carbon economy: Insights from low- carbon complexity index
Lulu Zhang, Gang Diao, Kairui You
Environmental Impact Assessment Review (2025) Vol. 112, pp. 107856-107856
Closed Access
Spatiotemporal prediction of carbon emissions using a hybrid deep learning model considering temporal and spatial correlations
Yixiang Chen, Yuxin Xie, Dang Xu, et al.
Environmental Modelling & Software (2023) Vol. 172, pp. 105937-105937
Closed Access | Times Cited: 8
High-resolution carbon emission mapping and spatial-temporal analysis based on multi-source geographic data: A case study in Xi’an City, China
Ziyan Liu, Ling Han, Ming Liu
Environmental Pollution (2024) Vol. 361, pp. 124879-124879
Closed Access | Times Cited: 2
The Impact of Agglomeration on CO2 Emissions in China's Transport Sector: A Spatial Econometric Analysis
Puju Cao, Zhao Liu, Huan Zhang, et al.
Sustainable Cities and Society (2024) Vol. 117, pp. 105966-105966
Closed Access | Times Cited: 2
Spatial and temporal evolution of urban carbon emission efficiency in China
Xiaochun Zhao, Taiwei Li, Xin Duan
Environmental Science and Pollution Research (2023) Vol. 30, Iss. 53, pp. 114471-114483
Closed Access | Times Cited: 5
A material flow or life cycle analysis perspective for the Water-Energy-Food nexus assessment of organisations? A comparative study
Leonardo Vásquez-Ibarra, Ricardo Rebolledo-Leiva, Eduardo Entrena-Barbero, et al.
Future Foods (2024) Vol. 10, pp. 100444-100444
Open Access | Times Cited: 1
UAV Databased Temperature Patterns Analysis with Carbon Emission Detection Using Deep Neural Network
Sachi Nandan Mohanty, Bibhuti Bhusan Dash, G. Shanmugasundar, et al.
Remote Sensing in Earth Systems Sciences (2024)
Closed Access | Times Cited: 1
Exploring socioeconomic and environmental coordination in the Yangtze River Delta Region using a game theory stepwise-cluster factorial coupling coordination model
Jie Sun, Mengjia Xu, C. Suo, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 1
Spatial and temporal correlation between green space landscape pattern and carbon emission—Three major coastal urban agglomerations in China
Xiaoping Wang, LI Ze-yan, Tris Kee
Urban Climate (2024) Vol. 58, pp. 102222-102222
Closed Access | Times Cited: 1
Evaluation mechanism of sustainable development level for the cities in the Yangtze River Economic Belt under the dual-carbon policy
Mingyue Sun, Congjun Rao, Xinyu Zhang, et al.
Environmental Science and Pollution Research (2024) Vol. 31, Iss. 24, pp. 35115-35132
Closed Access
Considering Landscape Patterns and Development Equity to Enhance the Interaction of Nighttime Lighting with Sustainable Development Goals
Chengyuan Wang, Yuheng Wu, Yuan Liu, et al.
(2024)
Closed Access
Study on the Evolutionary Characteristics of Spatial and Temporal Patterns and Decoupling Effect of Urban Carbon Emissions in the Yangtze River Delta Region Based on Neural Network Optimized by Aquila Optimizer with Nighttime Light Data
Xichun Luo, Chenfeng Cai, Honghao Zhao
Land (2024) Vol. 14, Iss. 1, pp. 51-51
Open Access
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