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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:

Forest aboveground biomass estimation using Landsat 8 and Sentinel-1A data with machine learning algorithms
Zhenzhen Liu, Mingyang Li, Chao Li, et al.
Scientific Reports (2020) Vol. 10, Iss. 1
Open Access | Times Cited: 296

Showing 1-25 of 296 citing articles:

Combination of Feature Selection and CatBoost for Prediction: The First Application to the Estimation of Aboveground Biomass
Mi Luo, Yifu Wang, Yunhong Xie, et al.
Forests (2021) Vol. 12, Iss. 2, pp. 216-216
Open Access | Times Cited: 161
Mapping Forest Height and Aboveground Biomass by Integrating ICESat‐2, Sentinel‐1 and Sentinel‐2 Data Using Random Forest Algorithm in Northwest Himalayan Foothills of India
Subrata Nandy, Ritika Srinet, Hitendra Padalia
Geophysical Research Letters (2021) Vol. 48, Iss. 14
Closed Access | Times Cited: 123
Dealing with clustered samples for assessing map accuracy by cross-validation
Sytze de Bruin, D.J. Brus, G.B.M. Heuvelink, et al.
Ecological Informatics (2022) Vol. 69, pp. 101665-101665
Open Access | Times Cited: 72
Integration of machine learning and remote sensing for above ground biomass estimation through Landsat-9 and field data in temperate forests of the Himalayan region
Shoaib Ahmad Anees, Kaleem Mehmood, Waseem Razzaq Khan, et al.
Ecological Informatics (2024) Vol. 82, pp. 102732-102732
Open Access | Times Cited: 50
Improved random forest algorithms for increasing the accuracy of forest aboveground biomass estimation using Sentinel-2 imagery
Xiaoli Zhang, Hanwen Shen, Tian‐Bao Huang, et al.
Ecological Indicators (2024) Vol. 159, pp. 111752-111752
Open Access | Times Cited: 30
Deep point cloud regression for above-ground forest biomass estimation from airborne LiDAR
Stefan Oehmcke, Lei Li, Katerina Trepekli, et al.
Remote Sensing of Environment (2024) Vol. 302, pp. 113968-113968
Open Access | Times Cited: 29
Grassland biomass spatiotemporal patterns and response to climate change in eastern Inner Mongolia based on XGBoost model estimates
Ziyu Jia, Zhenhao Zhang, Yunxiang Cheng, et al.
Ecological Indicators (2024) Vol. 158, pp. 111554-111554
Open Access | Times Cited: 25
Harmonizing remote sensing and ground data for forest aboveground biomass estimation
Ying Su, Zhifeng Wu, Xiaoman Zheng, et al.
Ecological Informatics (2025) Vol. 86, pp. 103002-103002
Open Access | Times Cited: 5
A multi-source approach combining GEDI LiDAR, satellite data, and machine learning algorithms for estimating forest aboveground biomass on Google Earth engine platform
Hamdi A. Zurqani
Ecological Informatics (2025), pp. 103052-103052
Open Access | Times Cited: 3
An Evaluation of Eight Machine Learning Regression Algorithms for Forest Aboveground Biomass Estimation from Multiple Satellite Data Products
Yuzhen Zhang, Jun Ma, Shunlin Liang, et al.
Remote Sensing (2020) Vol. 12, Iss. 24, pp. 4015-4015
Open Access | Times Cited: 109
Unmanned Aerial Vehicle-Based Photogrammetric 3D Mapping: A survey of techniques, applications, and challenges
San Jiang, Wanshou Jiang, Lizhe Wang
IEEE Geoscience and Remote Sensing Magazine (2021) Vol. 10, Iss. 2, pp. 135-171
Closed Access | Times Cited: 65
A long-term reconstructed TROPOMI solar-induced fluorescence dataset using machine learning algorithms
Xingan Chen, Yuefei Huang, Chong Nie, et al.
Scientific Data (2022) Vol. 9, Iss. 1
Open Access | Times Cited: 62
Above-ground biomass change estimation using national forest inventory data with Sentinel-2 and Landsat
Stefano Puliti, Johannes Breidenbach, Johannes Schumacher, et al.
Remote Sensing of Environment (2021) Vol. 265, pp. 112644-112644
Open Access | Times Cited: 60
Recurrent-based regression of Sentinel time series for continuous vegetation monitoring
Anatol Garioud, Silvia Valero, Sébastien Giordano, et al.
Remote Sensing of Environment (2021) Vol. 263, pp. 112419-112419
Open Access | Times Cited: 59
Assessing the carbon capture potential of a reforestation project
David Lefebvre, Adrian Williams, G. J. D. Kirk, et al.
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 59
A stacking ensemble algorithm for improving the biases of forest aboveground biomass estimations from multiple remotely sensed datasets
Yuzhen Zhang, Jun Ma, Shunlin Liang, et al.
GIScience & Remote Sensing (2022) Vol. 59, Iss. 1, pp. 234-249
Open Access | Times Cited: 55
Mapping Dominant Tree Species of German Forests
Torsten Welle, Lukas Aschenbrenner, Kevin Kuonath, et al.
Remote Sensing (2022) Vol. 14, Iss. 14, pp. 3330-3330
Open Access | Times Cited: 53
Geospatial technology in agroforestry: status, prospects, and constraints
Prashant Sharma, D. R. Bhardwaj, M. K. Singh, et al.
Environmental Science and Pollution Research (2022) Vol. 30, Iss. 55, pp. 116459-116487
Closed Access | Times Cited: 42
SBAS-InSAR based validated landslide susceptibility mapping along the Karakoram Highway: a case study of Gilgit-Baltistan, Pakistan
Isma Kulsoom, Weihua Hua, Sadaqat Hussain, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 42
Forest Height Mapping Using Feature Selection and Machine Learning by Integrating Multi-Source Satellite Data in Baoding City, North China
Nan Zhang, Mingjie Chen, Fan Yang, et al.
Remote Sensing (2022) Vol. 14, Iss. 18, pp. 4434-4434
Open Access | Times Cited: 41
Quantifying the impacts of land cover change on gross primary productivity globally
Andreas Krause, Phillip Papastefanou, Konstantin Gregor, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 41
Exposure to bisphenol A and its analogs and polycystic ovarian syndrome in women of childbearing age: A multicenter case-control study
Wenqiang Zhan, Weifeng Tang, Xiaoli Shen, et al.
Chemosphere (2022) Vol. 313, pp. 137463-137463
Open Access | Times Cited: 40
Advances in Earth observation and machine learning for quantifying blue carbon
Tien Dat Pham, Nam Thang Ha, Neil Saintilan, et al.
Earth-Science Reviews (2023) Vol. 243, pp. 104501-104501
Open Access | Times Cited: 38
Integrating forest structural diversity measurement into ecological research
Jeff W. Atkins, Parth Bhatt, Luis Carrasco, et al.
Ecosphere (2023) Vol. 14, Iss. 9
Open Access | Times Cited: 29
Continuous mapping of aboveground biomass using Landsat time series
Paulo Arévalo, Alessandro Baccini, Curtis E. Woodcock, et al.
Remote Sensing of Environment (2023) Vol. 288, pp. 113483-113483
Open Access | Times Cited: 28
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