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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:

Predicting Poverty Using Geospatial Data in Thailand
Nattapong Puttanapong, A. J. Martínez, Joseph Bulan, et al.
ISPRS International Journal of Geo-Information (2022) Vol. 11, Iss. 5, pp. 293-293
Open Access | Times Cited: 31

Showing 1-25 of 31 citing articles:

A review of machine learning and satellite imagery for poverty prediction: Implications for development research and applications
Ola Hall, Francis Dompae, Ibrahim Wahab, et al.
Journal of International Development (2023) Vol. 35, Iss. 7, pp. 1753-1768
Open Access | Times Cited: 23
Utilizing nighttime light datasets to uncover the spatial patterns of county-level relative poverty-returning risk in China and its alleviating factors
Tao Liu, Le Yu, Xin Chen, et al.
Journal of Cleaner Production (2024) Vol. 448, pp. 141682-141682
Closed Access | Times Cited: 9
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
Nighttime light satellite images reveal uneven socioeconomic development along China's land border
Wan Nan, Yunyan Du, Fuyuan Liang, et al.
Applied Geography (2023) Vol. 152, pp. 102899-102899
Closed Access | Times Cited: 14
Small Area Estimation of Poverty Using Remote Sensing Data (Case Study: Expenditure Per Capita Estimation of Very Poor Household in West Java, Indonesia)
Novia Permatasari, Azka Ubaidillah
Statistical Journal of the IAOS (2025)
Closed Access
Grid-Scale Poverty Assessment by Integrating High-Resolution Nighttime Light and Spatial Big Data—A Case Study in the Pearl River Delta
Minying Li, Jinyao Lin, Zhengnan Ji, et al.
Remote Sensing (2023) Vol. 15, Iss. 18, pp. 4618-4618
Open Access | Times Cited: 10
Estimating China’s poverty reduction efficiency by integrating multi-source geospatial data and deep learning techniques
Yao Yao, Jianfeng Zhou, Zhenhui Sun, et al.
Geo-spatial Information Science (2023) Vol. 27, Iss. 4, pp. 1000-1016
Open Access | Times Cited: 9
Predicting Provincial Gross Domestic Product Using Satellite Data and Machine Learning Methods: A Case Study of Thailand
Nattapong Puttanapong, Nutchapon Prasertsoong, Wichaya Peechapat
Asian Development Review (2023) Vol. 40, Iss. 02, pp. 39-85
Open Access | Times Cited: 9
Predicting Multidimensional Poverty with Machine Learning Algorithms: An Open Data Source Approach Using Spatial Data
Guberney Muñetón Santa, Luis Carlos Manrique Ruiz
Social Sciences (2023) Vol. 12, Iss. 5, pp. 296-296
Open Access | Times Cited: 8
Multi-source satellite imagery and point of interest data for poverty mapping in East Java, Indonesia: Machine learning and deep learning approaches
Salwa Rizqina Putri, Arie Wahyu Wijayanto, Setia Pramana
Remote Sensing Applications Society and Environment (2022) Vol. 29, pp. 100889-100889
Closed Access | Times Cited: 13
Exploring the Relationship between Melioidosis Morbidity Rate and Local Environmental Indicators Using Remotely Sensed Data
Jaruwan Wongbutdee, Jutharat Jittimanee, Suwaporn Dandee, et al.
(2024)
Open Access | Times Cited: 2
Exploring the Relationship between Melioidosis Morbidity Rate and Local Environmental Indicators Using Remotely Sensed Data
Jaruwan Wongbutdee, Jutharat Jittimanee, Suwaporn Daendee, et al.
International Journal of Environmental Research and Public Health (2024) Vol. 21, Iss. 5, pp. 614-614
Open Access | Times Cited: 2
Building consistent time series night-time light data from average DMSP/OLS images for indicating human activities in a large-scale oceanic area
Rongyong Huang, Wenqian Wu, Kefu Yu
International Journal of Applied Earth Observation and Geoinformation (2022) Vol. 114, pp. 103023-103023
Closed Access | Times Cited: 12
Unveiling and modelling: Land degradation, poverty nexus in Nigeria's semi-arid (jigawa state) using cloud-based geospatial data
Jibrin Gambo, Siti Nur Aliaa Roslan, Helmi Zulhaidi Mohd Shafri, et al.
Journal of Arid Environments (2024) Vol. 222, pp. 105151-105151
Closed Access | Times Cited: 1
Poverty Estimation Using a ConvLSTM-Based Model with Multi-Source Remote Sensing Data: A Case Study in Nigeria
Jie Tang, Xizhi Zhao, Fuhao Zhang, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2024) Vol. 17, pp. 3516-3529
Open Access | Times Cited: 1
Compiling Granular Population Data Using Geospatial Information
Katharina Fenz, Thomas Mitterling, A. J. Martínez, et al.
Asian Development Review (2024) Vol. 41, Iss. 01, pp. 263-300
Open Access | Times Cited: 1
How accurate is a poverty map based on remote sensing data? An application to Malawi
Roy van der Weide, Brian Blankespoor, Chris Elbers, et al.
Journal of Development Economics (2024) Vol. 171, pp. 103352-103352
Open Access | Times Cited: 1
Regional Wage Differences and Agglomeration Externalities: Micro Evidence from Thai Manufacturing Workers
Nutchapon Prasertsoong, Nattapong Puttanapong
Economies (2022) Vol. 10, Iss. 12, pp. 319-319
Open Access | Times Cited: 5
The Spatial Effects of Regional Poverty: Spatial Dependence, Spatial Heterogeneity and Scale Effects
Mengxiao Liu, Yong Ge, Shan Hu, et al.
ISPRS International Journal of Geo-Information (2023) Vol. 12, Iss. 12, pp. 501-501
Open Access | Times Cited: 2
Mapping the Spatial Distribution of Poverty Using Satellite Imagery in Thailand

(2021)
Open Access | Times Cited: 5
Associations Between Mobility Indices and the COVID-19 Pandemic in Thailand
Pitchaporn Inthisorn, Nattapong Puttanapong
Nakhara Journal of Environmental Design and Planning (2022) Vol. 21, Iss. 2, pp. 215-215
Open Access | Times Cited: 3
Urban poverty patterns in Pyongyang (North Korea): A deep-learning-based spatial analysis
S. Y. Lee, Moon-Gi Suh, Sung Bae Kim, et al.
Cities (2024) Vol. 151, pp. 105109-105109
Open Access
Rapid poverty estimation using ready-to-use mobile phone data: An application to Côte d’Ivoire
Sveta Milusheva, Oscar Barriga‐Cabanillas, Oumaima Makhlouk, et al.
(2024), pp. 60-73
Closed Access
The Potential of Geographic Information Systems as a Tool to Achieve Sustainable Development Goals
Aman Gupta, Jing Ruan, Shubham Jaiswal
(2024), pp. 185-196
Closed Access
An integrated framework for satellite-based flood mapping and socioeconomic risk analysis: A case of Thailand
Nutchapon Prasertsoong, Nattapong Puttanapong
Progress in Disaster Science (2024), pp. 100393-100393
Open Access
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