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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:

Predicting energy poverty with combinations of remote-sensing and socioeconomic survey data in India: Evidence from machine learning
Hanjie Wang, Lucie Maruejols, Xiaohua Yu
Energy Economics (2021) Vol. 102, pp. 105510-105510
Closed Access | Times Cited: 34

Showing 1-25 of 34 citing articles:

Temporal expansion of the nighttime light images of SDGSAT-1 satellite in illuminating ground object extraction by joint observation of NPP-VIIRS and sentinel-2A images
Bo Yu, Fang Chen, Cheng Ye, et al.
Remote Sensing of Environment (2023) Vol. 295, pp. 113691-113691
Closed Access | Times Cited: 47
Energy poverty assessment: Indicators and implications for developing and developed countries
Dlzar Al Kez, Aoife Foley, Christopher Lowans, et al.
Energy Conversion and Management (2024) Vol. 307, pp. 118324-118324
Open Access | Times Cited: 35
Energy poverty and beyond: The state, contexts, and trajectories of energy poverty studies in Asia
Chloe Chan, Laurence L. Delina
Energy Research & Social Science (2023) Vol. 102, pp. 103168-103168
Open Access | Times Cited: 31
Uplifting India from severe energy poverty accounting for strong asymmetries: Do inclusive financial development, digitization and human capital help reduce the asymmetry?
Atif Jahanger, Mohammad Razib Hossain, Ashar Awan, et al.
Energy Economics (2024) Vol. 134, pp. 107568-107568
Closed Access | Times Cited: 14
Spatial analysis and predictive modeling of energy poverty: insights for policy implementation
Sidique Gawusu, Seidu Abdulai Jamatutu, Xiao-Bing Zhang, et al.
Environment Development and Sustainability (2024)
Closed Access | Times Cited: 12
Industry 4.0 quasi-effect between circular economy and sustainability: Palm oil industry
Asma-Qamaliah Abdul-Hamid, Mohd Helmi Ali, Lokhman Hakim Osman, et al.
International Journal of Production Economics (2022) Vol. 253, pp. 108616-108616
Open Access | Times Cited: 29
Energy poverty prediction in the United Kingdom: A machine learning approach
Dlzar Al Kez, Aoife Foley, Zrar Kh. Abdul, et al.
Energy Policy (2023) Vol. 184, pp. 113909-113909
Open Access | Times Cited: 17
Lost in the dark: A survey of energy poverty from space
Brian Min, Zachary O'Keeffe, Babatunde Abidoye, et al.
Joule (2024) Vol. 8, Iss. 7, pp. 1982-1998
Open Access | Times Cited: 6
Carbon dioxide emission typology and policy implications: Evidence from machine learning
Hanjie Wang, Xiaohua Yu
China Economic Review (2023) Vol. 78, pp. 101941-101941
Closed Access | Times Cited: 16
Energy poverty prediction and effective targeting for just transitions with machine learning
Constantine Spandagos, Miguel Angel Tovar Reaños, Muireann Á. Lynch
Energy Economics (2023) Vol. 128, pp. 107131-107131
Open Access | Times Cited: 14
Urban Building Energy Modeling to Support Climate-Sensitive Planning in the Suburban Areas of Santiago de Chile
Guglielmina Mutani, Maryam Alehasin, Huisi Yang, et al.
Buildings (2024) Vol. 14, Iss. 1, pp. 185-185
Open Access | Times Cited: 5
Vietnam between economic growth and ethnic divergence: A LASSO examination of income-mediated energy consumption
Lucie Maruejols, Lisa Höschle, Xiaohua Yu
Energy Economics (2022) Vol. 114, pp. 106222-106222
Closed Access | Times Cited: 20
Let the data speak about the cut-off values for multidimensional index: Classification of human development index with machine learning
Hanjie Wang, Jan‐Henning Feil, Xiaohua Yu
Socio-Economic Planning Sciences (2023) Vol. 87, pp. 101523-101523
Closed Access | Times Cited: 12
Exploring machine learning trends in poverty mapping: A review and meta-analysis
Badri Raj Lamichhane, Mahmud Isnan, Teerayut Horanont
Science of Remote Sensing (2025), pp. 100200-100200
Open Access
The impact of energy justice on local economic outcomes: Evidence from the bioenergy village program in Germany
Lisa Hoeschle, Lucie Maruejols, Xiaohua Yu
Energy Economics (2025), pp. 108432-108432
Open Access
Comparison of machine learning predictions of subjective poverty in rural China
Lucie Maruejols, Hanjie Wang, Qiran Zhao, et al.
China Agricultural Economic Review (2022) Vol. 15, Iss. 2, pp. 379-399
Closed Access | Times Cited: 18
Analysing energy poverty in warm climate zones in Spain through artificial intelligence
David Bienvenido-Huertas, Daniel Sánchez-García, David Marín García, et al.
Journal of Building Engineering (2023) Vol. 68, pp. 106116-106116
Closed Access | Times Cited: 9
Participation in a mutual fund covering losses due to pest infestation: analyzing key predictors of farmers’ interest through machine learning
Lisa Höschle, Samuele Trestini, Elisa Giampietri
The International Food and Agribusiness Management Review (2023) Vol. 26, Iss. 3, pp. 535-554
Open Access | Times Cited: 4
The Role of the Artificial Intelligence of Things in Energy Poverty Alleviation
Ascensión López-Vargas, Agapito Ledezma-Espino, Araceli Sanchis-de-Miguel
Lecture notes on data engineering and communications technologies (2024), pp. 41-57
Closed Access | Times Cited: 1
Food price dynamics and regional clusters: machine learning analysis of egg prices in China
Liu Chang, Lin Zhou, Lisa Höschle, et al.
China Agricultural Economic Review (2022) Vol. 15, Iss. 2, pp. 416-432
Closed Access | Times Cited: 6
How to recognize the threat of social energy exclusion? Demographic and settlement determinants of distributed energy development in Polish towns and cities
Przemysław Śleszyński
Sustainable Cities and Society (2023) Vol. 98, pp. 104780-104780
Open Access | Times Cited: 3
Policies to Alleviate Energy Poverty: From Fundamental Concepts to a Practical Framework in the New Era
Jiajia Li
(2023), pp. 195-225
Closed Access | Times Cited: 2
Editorial: Prediction, pattern recognition and machine learning in agricultural economics
Xiaohua Yu, Lucie Maruejols
China Agricultural Economic Review (2023) Vol. 15, Iss. 2, pp. 375-378
Open Access | Times Cited: 2
A Machine Learning Approach for Poverty Estimation Using Aerial Images
Nandan Banerji, Sreenivasulu Ballem, Siva Mala Munnangi, et al.
(2024), pp. 69-86
Closed Access
How to recognize the threat of social energy exclusion? Demographic and settlement determinants of distributed energy development in Polish towns and cities
Przemysław Śleszyński
SSRN Electronic Journal (2024)
Closed Access
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