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:

Modeling and Estimating the Land Surface Temperature (LST) Using Remote Sensing and Machine Learning (Case Study: Yazd, Iran)
Mohammad Mansourmoghaddam, Imán Rousta, Hamid Reza Ghafarian Malamiri, et al.
Remote Sensing (2024) Vol. 16, Iss. 3, pp. 454-454
Open Access | Times Cited: 13

Showing 13 citing articles:

Spatiotemporal Changes in Evapotranspiration and Its Influencing Factors in the Jiziwan Region of the Yellow River from 1982 to 2018
Wenting Liu, Rong Tang, Ge Zhang, et al.
Remote Sensing (2025) Vol. 17, Iss. 2, pp. 252-252
Open Access | Times Cited: 1

From Data to Insights: Modeling Urban Land Surface Temperature Using Geospatial Analysis and Interpretable Machine Learning
Nhat‐Duc Hoang, Van-Duc Tran, Thanh‐Canh Huynh
Sensors (2025) Vol. 25, Iss. 4, pp. 1169-1169
Open Access

Spatiotemporal Patterns in the Urban Heat Island Effect of Several Contemporary and Historical Chinese “Stove Cities”
Mengyu Huang, Shaobo Zhong, Xin Mei, et al.
Sustainability (2024) Vol. 16, Iss. 7, pp. 3091-3091
Open Access | Times Cited: 4

Evaluating the efficiency of NDVI and climatic data in maize harvest prediction using machine learning
Mario E. Suaza-Medina, Jorge Laguna, Rubén Béjar, et al.
International Journal of Digital Earth (2024) Vol. 17, Iss. 1
Open Access | Times Cited: 4

Machine learning-based estimation of land surface temperature variability over a large region: a temporally consistent approach using single-day satellite imagery
Nyenshu Seb Rengma, Manohar Yadav
Environmental Monitoring and Assessment (2024) Vol. 196, Iss. 8
Closed Access | Times Cited: 1

Geospatial urban heat mapping with interpretable machine learning and deep learning: a case study in Hue City, Vietnam
Nhat‐Duc Hoang, Phu Anh Huy Pham, Thanh‐Canh Huynh, et al.
Earth Science Informatics (2024) Vol. 18, Iss. 1
Closed Access | Times Cited: 1

Integrating Remote Sensing and Ground-Based Data for Enhanced Spatial–Temporal Analysis of Heatwaves: A Machine Learning Approach
Thitimar Chongtaku, Attaphongse Taparugssanagorn, Hiroyuki Miyazaki, et al.
Applied Sciences (2024) Vol. 14, Iss. 10, pp. 3969-3969
Open Access

Spatial and temporal variation of day and night time land surface temperature and its drivers over Iran’s watersheds using remote sensing
Fatemeh Shakiba, Imán Rousta, Ahmad Mazidi, et al.
Earth Science Informatics (2024)
Closed Access

Mapping Energy Expansion: Remote Sensing Insights into Oil and Gas Infrastructure and Land Use Changes in Midland, TX
Nastaran Abdoli, Mahdi Alipour, Mehrnaz Pasokhi
Journal of Geoscience and Environment Protection (2024) Vol. 12, Iss. 07, pp. 89-108
Open Access

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