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:

A physical full-factorial scheme for gap-filling of eddy covariance measurements of daytime evapotranspiration
Yazhen Jiang, Ronglin Tang, Zhao‐Liang Li
Agricultural and Forest Meteorology (2022) Vol. 323, pp. 109087-109087
Closed Access | Times Cited: 23

Showing 23 citing articles:

OPTRAM-ET: A novel approach to remote sensing of actual evapotranspiration applied to Sentinel-2 and Landsat-8 observations
Ali Mokhtari, Morteza Sadeghi, Yasamin Afrasiabian, et al.
Remote Sensing of Environment (2023) Vol. 286, pp. 113443-113443
Closed Access | Times Cited: 31

How much water vapour does the Tibetan Plateau release into the atmosphere?
Chaolei Zheng, Jia Li, Guangcheng Hu, et al.
Hydrology and earth system sciences (2025) Vol. 29, Iss. 2, pp. 485-506
Open Access | Times Cited: 1

geeSEBAL-MODIS: Continental-scale evapotranspiration based on the surface energy balance for South America
Bruno Comini de Andrade, Leonardo Laipelt, Ayan Santos Fleischmann, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2023) Vol. 207, pp. 141-163
Closed Access | Times Cited: 14

A Machine Learning Approach for Filling Long Gaps in Eddy Covariance Time Series Data in a Tropical Dry Forest
Mohammed Abdaki, Arturo Sánchez‐Azofeifa, Hendrik F. Hamann
Journal of Geophysical Research Biogeosciences (2025) Vol. 130, Iss. 1
Closed Access

Coupling Interpretable Feature Selection with Machine Learning for Evapotranspiration Gap Filling
Lizheng Wang, Lixin Dong, Qiutong Zhang
Water (2025) Vol. 17, Iss. 5, pp. 748-748
Open Access

A global 5 km monthly potential evapotranspiration dataset (1982–2015) estimated by the Shuttleworth–Wallace model
Shanlei Sun, Zaoying Bi, Jingfeng Xiao, et al.
Earth system science data (2023) Vol. 15, Iss. 11, pp. 4849-4876
Open Access | Times Cited: 12

A gap filling method for daily evapotranspiration of global flux data sets based on deep learning
Long Qian, Lifeng Wu, Zhitao Zhang, et al.
Journal of Hydrology (2024) Vol. 641, pp. 131787-131787
Closed Access | Times Cited: 2

A review of remote sensing estimation of crop water productivity: definition, methodology, scale, and evaluation
Minghan Cheng, Dameng Yin, Wenbin Wu, et al.
International Journal of Remote Sensing (2023) Vol. 44, Iss. 16, pp. 5033-5068
Closed Access | Times Cited: 5

Improving time upscaling of instantaneous evapotranspiration based on machine learning models
Danni Yang, Shanshan Yang, Jiaojiao Huang, et al.
Big Earth Data (2024) Vol. 9, Iss. 1, pp. 127-154
Open Access | Times Cited: 1

Observation and Assessment of Model Retrievals of Surface Exchange Components Over a Row Canopy Using Directional Thermal Data
Samuel Mwangi, Gilles Boulet, Michel Le Page, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2023) Vol. 16, pp. 7343-7356
Open Access | Times Cited: 3

Reply on RC3
Chaolei Zheng
(2024)
Open Access

Reply on RC2
Chaolei Zheng
(2024)
Open Access

Reply on RC1
Chaolei Zheng
(2024)
Open Access

A First Assessment of Airborne HyTES-based Land Surface Temperature and Evapotranspiration
Madeleine Pascolini‐Campbell, Simon J. Hook, Kanishka Mallick, et al.
Remote Sensing Applications Society and Environment (2024) Vol. 36, pp. 101344-101344
Open Access

CO2 Footprint of Kiwi Fruits Deduced from Field Measurements and Cultivation Energy Data
Zoi-Panagiota Kryona, Georgios Archimidis Tsalidis, Glykeria Loupa, et al.
Atmosphere (2024) Vol. 15, Iss. 11, pp. 1355-1355
Open Access

A comparative analysis of machine learning approaches to gap filling meteorological datasets
Branislava Lalić, Adam Stapleton, Thomas Vergauwen, et al.
Environmental Earth Sciences (2024) Vol. 83, Iss. 24
Closed Access

Comment on hess-2024-55
Chaolei Zheng, Jia Li, Guangcheng Hu, et al.
(2024)
Open Access

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