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:
AutoML for estimating grass height from ETM+/OLI data from field measurements at a nature reserve
Nuno César de Sá, Mitra Baratchi, Vincent Buitenhuis, et al.
GIScience & Remote Sensing (2022) Vol. 59, Iss. 1, pp. 2164-2183
Open Access | Times Cited: 9
Nuno César de Sá, Mitra Baratchi, Vincent Buitenhuis, et al.
GIScience & Remote Sensing (2022) Vol. 59, Iss. 1, pp. 2164-2183
Open Access | Times Cited: 9
Showing 9 citing articles:
Estimating vegetation indices and biophysical parameters for Central European temperate forests with Sentinel-1 SAR data and machine learning
Daniel Paluba, Bertrand Le Saux, Francesco Sarti, et al.
Big Earth Data (2025), pp. 1-32
Open Access
Daniel Paluba, Bertrand Le Saux, Francesco Sarti, et al.
Big Earth Data (2025), pp. 1-32
Open Access
Correction of UAV LiDAR-derived grassland canopy height based on scan angle
Cong Xu, Dan Zhao, Zhaoju Zheng, et al.
Frontiers in Plant Science (2023) Vol. 14
Open Access | Times Cited: 8
Cong Xu, Dan Zhao, Zhaoju Zheng, et al.
Frontiers in Plant Science (2023) Vol. 14
Open Access | Times Cited: 8
Grass-livestock interaction: a critical review of current research progress
Xiaoyu Zhu, Dongfei Tan, Yutong Li, et al.
Frontiers in Sustainable Food Systems (2024) Vol. 8
Open Access | Times Cited: 1
Xiaoyu Zhu, Dongfei Tan, Yutong Li, et al.
Frontiers in Sustainable Food Systems (2024) Vol. 8
Open Access | Times Cited: 1
CascadeDumpNet: Enhancing open dumpsite detection through deep learning and AutoML integrated dual-stage approach using high-resolution satellite imagery
Siwei Zhang, Jun Ma
Remote Sensing of Environment (2024) Vol. 313, pp. 114349-114349
Closed Access | Times Cited: 1
Siwei Zhang, Jun Ma
Remote Sensing of Environment (2024) Vol. 313, pp. 114349-114349
Closed Access | Times Cited: 1
An explainable AI framework for spatiotemporal risk factor analysis in public health: a case study of cardiovascular mortality in South Korea
Eunjin Kang, Dongjin Cho, Siwoo Lee, et al.
GIScience & Remote Sensing (2024) Vol. 61, Iss. 1
Open Access | Times Cited: 1
Eunjin Kang, Dongjin Cho, Siwoo Lee, et al.
GIScience & Remote Sensing (2024) Vol. 61, Iss. 1
Open Access | Times Cited: 1
AutoSR4EO: An AutoML Approach to Super-Resolution for Earth Observation Images
Julia Wąsala, Suzanne Marselis, Laurens Arp, et al.
Remote Sensing (2024) Vol. 16, Iss. 3, pp. 443-443
Open Access | Times Cited: 1
Julia Wąsala, Suzanne Marselis, Laurens Arp, et al.
Remote Sensing (2024) Vol. 16, Iss. 3, pp. 443-443
Open Access | Times Cited: 1
Clustering of meteorological data to improve agricultural decisions: a case study with SIMAGRO-RS
Marcos Oliveira, Flavio A. Varone, Clyde W. Fraisse, et al.
(2024), pp. 1-10
Closed Access | Times Cited: 1
Marcos Oliveira, Flavio A. Varone, Clyde W. Fraisse, et al.
(2024), pp. 1-10
Closed Access | Times Cited: 1
Pioneering automation in agricultural subsidy processing through deep learning for computer vision
Katharina Braun, Jesper Wulff
Journal of Business Analytics (2024), pp. 1-23
Closed Access
Katharina Braun, Jesper Wulff
Journal of Business Analytics (2024), pp. 1-23
Closed Access
Vegetation height estimation based on machine learning model driven by multi-source data in Eurasian temperate grassland
Wuhua Wang, Jiakui Tang, Na Zhang, et al.
Ecological Indicators (2024) Vol. 170, pp. 113013-113013
Closed Access
Wuhua Wang, Jiakui Tang, Na Zhang, et al.
Ecological Indicators (2024) Vol. 170, pp. 113013-113013
Closed Access
