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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:

A comparison of STARFM and an unmixing-based algorithm for Landsat and MODIS data fusion
Caroline Gevaert, Francisco Javier Garcı́a-Haro
Remote Sensing of Environment (2014) Vol. 156, pp. 34-44
Open Access | Times Cited: 349

Showing 26-50 of 349 citing articles:

Landscape functional zoning at a county level based on ecosystem services bundle: Methods comparison and management indication
Yanxu Liu, Tong Li, Wenwu Zhao, et al.
Journal of Environmental Management (2019) Vol. 249, pp. 109315-109315
Closed Access | Times Cited: 114
Application of Synthetic NDVI Time Series Blended from Landsat and MODIS Data for Grassland Biomass Estimation
Binghua Zhang, Li Zhang, Dong Xie, et al.
Remote Sensing (2015) Vol. 8, Iss. 1, pp. 10-10
Open Access | Times Cited: 113
Generating a series of fine spatial and temporal resolution land cover maps by fusing coarse spatial resolution remotely sensed images and fine spatial resolution land cover maps
Xiaodong Li, Feng Ling, Giles M. Foody, et al.
Remote Sensing of Environment (2017) Vol. 196, pp. 293-311
Open Access | Times Cited: 112
SFSDAF: An enhanced FSDAF that incorporates sub-pixel class fraction change information for spatio-temporal image fusion
Xiaodong Li, Giles M. Foody, Doreen S. Boyd, et al.
Remote Sensing of Environment (2019) Vol. 237, pp. 111537-111537
Open Access | Times Cited: 110
A Bayesian Data Fusion Approach to Spatio-Temporal Fusion of Remotely Sensed Images
Jie Xue, Yee Leung, Tung Fung
Remote Sensing (2017) Vol. 9, Iss. 12, pp. 1310-1310
Open Access | Times Cited: 109
Sensitivity of six typical spatiotemporal fusion methods to different influential factors: A comparative study for a normalized difference vegetation index time series reconstruction
Junxiong Zhou, Jin Chen, Xuehong Chen, et al.
Remote Sensing of Environment (2020) Vol. 252, pp. 112130-112130
Open Access | Times Cited: 108
Remote Sensing Image Spatiotemporal Fusion Using a Generative Adversarial Network
Hongyan Zhang, Yiyao Song, Chang Han, et al.
IEEE Transactions on Geoscience and Remote Sensing (2020) Vol. 59, Iss. 5, pp. 4273-4286
Closed Access | Times Cited: 105
Land cover change detection by integrating object-based data blending model of Landsat and MODIS
Miao Lu, Jun Chen, Huajun Tang, et al.
Remote Sensing of Environment (2016) Vol. 184, pp. 374-386
Closed Access | Times Cited: 104
Virtual image pair-based spatio-temporal fusion
Qunming Wang, Yijie Tang, Xiaohua Tong, et al.
Remote Sensing of Environment (2020) Vol. 249, pp. 112009-112009
Open Access | Times Cited: 101
Mapping wetland using the object-based stacked generalization method based on multi-temporal optical and SAR data
Yaotong Cai, Xinyu Li, Meng Zhang, et al.
International Journal of Applied Earth Observation and Geoinformation (2020) Vol. 92, pp. 102164-102164
Open Access | Times Cited: 97
Multispectral high resolution sensor fusion for smoothing and gap-filling in the cloud
Álvaro Moreno‐Martínez, Emma Izquierdo‐Verdiguier, Marco Maneta, et al.
Remote Sensing of Environment (2020) Vol. 247, pp. 111901-111901
Open Access | Times Cited: 97
A Flexible Reference-Insensitive Spatiotemporal Fusion Model for Remote Sensing Images Using Conditional Generative Adversarial Network
Zhenyu Tan, Meiling Gao, Xinghua Li, et al.
IEEE Transactions on Geoscience and Remote Sensing (2021) Vol. 60, pp. 1-13
Closed Access | Times Cited: 94
Primitives as building blocks for constructing land cover maps
David Saah, Karis Tenneson, Ate Poortinga, et al.
International Journal of Applied Earth Observation and Geoinformation (2019) Vol. 85, pp. 101979-101979
Open Access | Times Cited: 79
Near-real time forest change detection using PlanetScope imagery
Saverio Francini, Ronald E. McRoberts, Francesca Giannetti, et al.
European Journal of Remote Sensing (2020) Vol. 53, Iss. 1, pp. 233-244
Open Access | Times Cited: 78
A novel framework to assess all-round performances of spatiotemporal fusion models
Xiaolin Zhu, Wenfeng Zhan, Junxiong Zhou, et al.
Remote Sensing of Environment (2022) Vol. 274, pp. 113002-113002
Open Access | Times Cited: 59
Multi-sensor and multi-platform consistency and interoperability between UAV, Planet CubeSat, Sentinel-2, and Landsat reflectance data
Jiale Jiang, Kasper Johansen, Yu-Hsuan Tu, et al.
GIScience & Remote Sensing (2022) Vol. 59, Iss. 1, pp. 936-958
Open Access | Times Cited: 52
Generalized Linear Spectral Mixing Model for Spatial–Temporal–Spectral Fusion
Jun Zhou, Weiwei Sun, Xiangchao Meng, et al.
IEEE Transactions on Geoscience and Remote Sensing (2022) Vol. 60, pp. 1-16
Closed Access | Times Cited: 39
A review of remote sensing image spatiotemporal fusion: Challenges, applications and recent trends
Juan Xiao, Ashwani Kumar Aggarwal, Nguyen Hong Duc, et al.
Remote Sensing Applications Society and Environment (2023) Vol. 32, pp. 101005-101005
Closed Access | Times Cited: 34
ROBOT: A spatiotemporal fusion model toward seamless data cube for global remote sensing applications
Shuang Chen, Jie Wang, Peng Gong
Remote Sensing of Environment (2023) Vol. 294, pp. 113616-113616
Closed Access | Times Cited: 32
Integrating random forest and crop modeling improves the crop yield prediction of winter wheat and oil seed rape
Maninder Singh Dhillon, Thorsten Dahms, Carina Kübert, et al.
Frontiers in Remote Sensing (2023) Vol. 3
Open Access | Times Cited: 31
Developing a spatiotemporal fusion framework for generating daily UAV images in agricultural areas using publicly available satellite data
Hamid Ebrahimy, Tong Yu, Zhou Zhang
ISPRS Journal of Photogrammetry and Remote Sensing (2025) Vol. 220, pp. 413-427
Closed Access | Times Cited: 1
Global Rice Paddy Inventory (GRPI): A High‐Resolution Inventory of Methane Emissions From Rice Agriculture Based on Landsat Satellite Inundation Data
Zichong Chen, Haipeng Lin, Nicholas Balasus, et al.
Earth s Future (2025) Vol. 13, Iss. 4
Open Access | Times Cited: 1
Bayesian Method for Building Frequent Landsat-Like NDVI Datasets by Integrating MODIS and Landsat NDVI
Limin Liao, Jinling Song, Jindi Wang, et al.
Remote Sensing (2016) Vol. 8, Iss. 6, pp. 452-452
Open Access | Times Cited: 83
Smoothing and gap-filling of high resolution multi-spectral time series: Example of Landsat data
Francesco Vuolo, Wai‐Tim Ng, Clement Atzberger
International Journal of Applied Earth Observation and Geoinformation (2017) Vol. 57, pp. 202-213
Closed Access | Times Cited: 80
A wavelet-artificial intelligence fusion approach (WAIFA) for blending Landsat and MODIS surface temperature
Vahid Moosavi, Ali Talebi, Mohammad Hossein Mokhtari, et al.
Remote Sensing of Environment (2015) Vol. 169, pp. 243-254
Closed Access | Times Cited: 74

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