Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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 urban evapotranspiration using remote sensing, flux footprints, and artificial intelligence
Stenka Vulova, Fred Meier, Alby Duarte Rocha, et al.
The Science of The Total Environment (2021) Vol. 786, pp. 147293-147293
Open Access | Times Cited: 57

Showing 1-25 of 57 citing articles:

Machine learning and remote sensing integration for leveraging urban sustainability: A review and framework
Fei Li, Tan Yiğitcanlar, Madhav Prasad Nepal, et al.
Sustainable Cities and Society (2023) Vol. 96, pp. 104653-104653
Open Access | Times Cited: 99
Direct observations of CO2 emission reductions due to COVID-19 lockdown across European urban districts
Giacomo Nicolini, Gabriele Antoniella, Federico Carotenuto, et al.
The Science of The Total Environment (2022) Vol. 830, pp. 154662-154662
Open Access | Times Cited: 79
Wave height predictions in complex sea flows through soft-computing models: Case study of Persian Gulf
T. Sadeghifar, Giuseppe Francesco Cesare Lama, Parveen Sihag, et al.
Ocean Engineering (2022) Vol. 245, pp. 110467-110467
Closed Access | Times Cited: 76
Unprivileged groups are less served by green cooling services in major European urban areas
Alby Duarte Rocha, Stenka Vulova, Michael Förster, et al.
Nature Cities (2024) Vol. 1, Iss. 6, pp. 424-435
Closed Access | Times Cited: 26
A Survey Towards Decision Support System on Smart Irrigation Scheduling Using Machine Learning approaches
Mandeep Kaur Saggi, Sushma Jain
Archives of Computational Methods in Engineering (2022) Vol. 29, Iss. 6, pp. 4455-4478
Open Access | Times Cited: 40
Testing temporal transferability of remote sensing models for large area monitoring
Steven K. Filippelli, Karen Schleeweis, Mark D. Nelson, et al.
Science of Remote Sensing (2024) Vol. 9, pp. 100119-100119
Open Access | Times Cited: 9
Deep learning approaches and interventions for futuristic engineering in agriculture
Subir Kumar Chakraborty, Narendra Singh Chandel, Dilip Jat, et al.
Neural Computing and Applications (2022) Vol. 34, Iss. 23, pp. 20539-20573
Closed Access | Times Cited: 38
Mapping evapotranspirative and radiative cooling services in an urban environment
Alby Duarte Rocha, Stenka Vulova, Fred Meier, et al.
Sustainable Cities and Society (2022) Vol. 85, pp. 104051-104051
Closed Access | Times Cited: 33
City-wide, high-resolution mapping of evapotranspiration to guide climate-resilient planning
Stenka Vulova, Alby Duarte Rocha, Fred Meier, et al.
Remote Sensing of Environment (2023) Vol. 287, pp. 113487-113487
Open Access | Times Cited: 22
Urban evapotranspiration and its effects on water budget and energy balance: Review and perspectives
Guo Yu Qiu, Chunhua Yan, Yuanbo Liu
Earth-Science Reviews (2023) Vol. 246, pp. 104577-104577
Closed Access | Times Cited: 18
Assessing the impact of urbanization on urban evapotranspiration and its components using a novel four-source energy balance model
Han Chen, Jinhui Jeanne Huang‬‬‬‬, Sonam Sandeep Dash, et al.
Agricultural and Forest Meteorology (2022) Vol. 316, pp. 108853-108853
Closed Access | Times Cited: 27
Modelling hourly evapotranspiration in urban environments with SCOPE using open remote sensing and meteorological data
Alby Duarte Rocha, Stenka Vulova, Christiaan van der Tol, et al.
Hydrology and earth system sciences (2022) Vol. 26, Iss. 4, pp. 1111-1129
Open Access | Times Cited: 24
Mapping Vegetation Index-Derived Actual Evapotranspiration across Croplands Using the Google Earth Engine Platform
Neda Abbasi, Hamideh Nouri, Kamel Didan, et al.
Remote Sensing (2023) Vol. 15, Iss. 4, pp. 1017-1017
Open Access | Times Cited: 15
Machine Learning for Simulation of Urban Heat Island Dynamics Based on Large-Scale Meteorological Conditions
Mikhail Varentsov, Mikhail Krinitskiy, Victor Stepanenko
Climate (2023) Vol. 11, Iss. 10, pp. 200-200
Open Access | Times Cited: 14
A river basin spatial model to quantitively advance understanding of riverine tree response dynamics to water availability and hydrological management
Tanya M. Doody, Sicong Gao, W. Vervoort, et al.
Journal of Environmental Management (2023) Vol. 332, pp. 117393-117393
Open Access | Times Cited: 13
Applications of machine learning and deep learning methods for climate change mitigation and adaptation
Tahmineh Ladi, Shaghayegh Jabalameli, Ayyoob Sharifi
Environment and Planning B Urban Analytics and City Science (2022) Vol. 49, Iss. 4, pp. 1314-1330
Closed Access | Times Cited: 22
High-resolution spatio-temporal characteristics of urban evapotranspiration measured by unmanned aerial vehicle and infrared remote sensing
Longjun Qin, Chunhua Yan, Leiyu Yu, et al.
Building and Environment (2022) Vol. 222, pp. 109389-109389
Closed Access | Times Cited: 21
The Potential of Artificial Intelligence for Achieving Healthy and Sustainable Societies
Beril Sırmaçek, Shivam Gupta, Fermı́n Mallor, et al.
Philosophical studies series (2023), pp. 65-96
Closed Access | Times Cited: 12
Urbanization impacts on evapotranspiration change across seven typical urban agglomerations in China
Wanqiu Xing, Zhiyu Feng, Xin Cao, et al.
The Science of The Total Environment (2024) Vol. 950, pp. 175399-175399
Closed Access | Times Cited: 4
Integrating sentinel-2 and sentinel-3 for actual evapotranspiration estimation across diverse climate zones using the sen-ET plugin and machine learning models
Shima Amani, Hossein Shafizadeh‐Moghadam, Saeed Morid
Earth Science Informatics (2025) Vol. 18, Iss. 4
Closed Access
An Overview of Evapotranspiration Estimation Models Utilizing Artificial Intelligence
Mercedeh Taheri, Mostafa Bigdeli, Hanifeh Imanian, et al.
Water (2025) Vol. 17, Iss. 9, pp. 1384-1384
Open Access
Can evaporation from urban impervious surfaces be ignored?
Han Chen, Jinhui Jeanne Huang‬‬‬‬, Hong Liang, et al.
Journal of Hydrology (2022) Vol. 616, pp. 128582-128582
Closed Access | Times Cited: 16
The Water Balance Representation in Urban‐PLUMBER Land Surface Models
Harro Jongen, Mathew Lipson, Adriaan J. Teuling, et al.
Journal of Advances in Modeling Earth Systems (2024) Vol. 16, Iss. 10
Open Access | Times Cited: 3
Estimating Actual Evapotranspiration over Croplands Using Vegetation Index Methods and Dynamic Harvested Area
Neda Abbasi, Hamideh Nouri, Kamel Didan, et al.
Remote Sensing (2021) Vol. 13, Iss. 24, pp. 5167-5167
Open Access | Times Cited: 22
Reference evapotranspiration projections in Southern Spain (until 2100) using temperature-based machine learning models
Juan Antonio Bellido-Jiménez, Javier Estévez, A. P. García‐Marín
Computers and Electronics in Agriculture (2023) Vol. 214, pp. 108327-108327
Closed Access | Times Cited: 7
Page 1 - Next Page

Scroll to top