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:

Household Energy Expenditures in North Carolina: A Geographically Weighted Regression Approach
Selima Sultana, Nastaran Pourebrahim, Hyojin Kim
Sustainability (2018) Vol. 10, Iss. 5, pp. 1511-1511
Open Access | Times Cited: 20

Showing 20 citing articles:

Spatial measures and methods in sustainable urban morphology: A systematic review
Pan Zhang, Debarchana Ghosh, Sohyun Park
Landscape and Urban Planning (2023) Vol. 237, pp. 104776-104776
Open Access | Times Cited: 43

Trip distribution modeling with Twitter data
Nastaran Pourebrahim, Selima Sultana, Amirreza Niakanlahiji, et al.
Computers Environment and Urban Systems (2019) Vol. 77, pp. 101354-101354
Closed Access | Times Cited: 48

Impacts of green certification programs on energy consumption and GHG emissions in buildings: A spatial regression approach
Limao Zhang, Rongyao Li
Energy and Buildings (2021) Vol. 256, pp. 111677-111677
Closed Access | Times Cited: 36

Understanding Spatio-Temporal Characteristics of Urban Travel Demand Based on the Combination of GWR and GLM
Jinjun Tang, Fan Gao, Fang Liu, et al.
Sustainability (2019) Vol. 11, Iss. 19, pp. 5525-5525
Open Access | Times Cited: 37

Spatio-temporal heterogeneity analysis of energy use in residential buildings
Yan Zhang, Bak Koon Teoh, Limao Zhang, et al.
Journal of Cleaner Production (2022) Vol. 352, pp. 131422-131422
Closed Access | Times Cited: 19

Association of sociodemographic and environmental factors with spatial distribution of tuberculosis cases in Gombak, Selangor, Malaysia
Nur Adibah Mohidem, Malina Osman, Zailina Hashim, et al.
PLoS ONE (2021) Vol. 16, Iss. 6, pp. e0252146-e0252146
Open Access | Times Cited: 24

Enhancing Trip Distribution Prediction with Twitter Data
Nastaran Pourebrahim, Selima Sultana, Jean‐Claude Thill, et al.
(2018), pp. 5-8
Closed Access | Times Cited: 30

Evaluating energy burden at the urban scale: A spatial regression approach in Cincinnati, Ohio
David E. Moore, Amanda Webb
Energy Policy (2021) Vol. 160, pp. 112651-112651
Open Access | Times Cited: 15

Local and national determinants of household energy consumption in the Netherlands
Bardia Mashhoodi, Dominic Stead, Arjan van Timmeren
GeoJournal (2019) Vol. 85, Iss. 2, pp. 393-406
Open Access | Times Cited: 17

Clustered spatio‐temporal varying coefficient regression model
Junho Lee, Maria Kamenetsky, Ronald E. Gangnon, et al.
Statistics in Medicine (2020) Vol. 40, Iss. 2, pp. 465-480
Closed Access | Times Cited: 12

Determinants of energy expenditures for Turkish households using quantile regression and data from an original survey in Turkey
Kübranur Çebi Karaaslan, Yahya Algül
Environmental Science and Pollution Research (2023) Vol. 30, Iss. 13, pp. 38939-38954
Closed Access | Times Cited: 4

Differential Analysis of Carbon Emissions between Growing and Shrinking Cities: A Case of Three Northeastern Provinces in China
Yuanzhen Song, Jian Tian, Weijie He, et al.
Land (2024) Vol. 13, Iss. 5, pp. 648-648
Open Access | Times Cited: 1

Changes in Patterns of Consumer Spending in European Households
Marlena Piekut, Kamil Piekut
Sustainability (2022) Vol. 14, Iss. 19, pp. 12794-12794
Open Access | Times Cited: 7

Assessing the spatial structure of the association between attendance at preschool and children’s developmental vulnerabilities in Queensland, Australia
Wala Draidi Areed, Aiden Price, Kathryn Arnett, et al.
PLoS ONE (2023) Vol. 18, Iss. 8, pp. e0285409-e0285409
Open Access | Times Cited: 3

Understanding high-emitting households in the UK through a cluster analysis
Xinfang Wang, Ming Meng
Frontiers in Energy (2019) Vol. 13, Iss. 4, pp. 612-625
Open Access | Times Cited: 4

AI application for load forecasting: a comparison of classical and deep learning methodologies
Ana Karen Apolo Peñaloza, Alexandre Balbinot, Roberto Chouhy Leborgne
Elsevier eBooks (2023), pp. 263-287
Closed Access

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