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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:

Application of feature selection methods and machine learning algorithms for saltmarsh biomass estimation using Worldview-2 imagery
Sikdar M. M. Rasel, Hsing‐Chung Chang, Timothy J. Ralph, et al.
Geocarto International (2019) Vol. 36, Iss. 10, pp. 1075-1099
Closed Access | Times Cited: 29

Showing 1-25 of 29 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: 160
Spatiotemporal dynamics of grassland aboveground biomass and its driving factors in North China over the past 20 years
J. Ge, Mengjing Hou, Tiangang Liang, et al.
The Science of The Total Environment (2022) Vol. 826, pp. 154226-154226
Closed Access | Times Cited: 76
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
A review of carbon monitoring in wet carbon systems using remote sensing
Anthony Campbell, Temilola Fatoyinbo, Sean P. Charles, et al.
Environmental Research Letters (2022) Vol. 17, Iss. 2, pp. 025009-025009
Open Access | Times Cited: 57
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
Ensemble and single algorithm models to handle multicollinearity of UAV vegetation indices for predicting rice biomass
Radhwane Derraz, Farrah Melissa Muharam, Khairudin Nurulhuda, et al.
Computers and Electronics in Agriculture (2023) Vol. 205, pp. 107621-107621
Closed Access | Times Cited: 24
Estimation of aboveground biomass of senescence grassland in China's arid region using multi-source data
Jiahui Zhou, Renping Zhang, Jing Guo, et al.
The Science of The Total Environment (2024) Vol. 918, pp. 170602-170602
Closed Access | Times Cited: 13
UAV- and Machine Learning-Based Retrieval of Wheat SPAD Values at the Overwintering Stage for Variety Screening
Jianjun Wang, Qi Zhou, Jiali Shang, et al.
Remote Sensing (2021) Vol. 13, Iss. 24, pp. 5166-5166
Open Access | Times Cited: 45
Estimating the Aboveground Biomass of Various Forest Types with High Heterogeneity at the Provincial Scale Based on Multi-Source Data
Tian‐Bao Huang, Guanglong Ou, Yong Wu, et al.
Remote Sensing (2023) Vol. 15, Iss. 14, pp. 3550-3550
Open Access | Times Cited: 22
Combining features selection strategy and features fusion strategy for SPAD estimation of winter wheat based on UAV multispectral imagery
Xiangxiang Su, 櫻井 克年, Hiba Shaghaleh, et al.
Frontiers in Plant Science (2024) Vol. 15
Open Access | Times Cited: 8
Saline soil moisture mapping using Sentinel-1A synthetic aperture radar data and machine learning algorithms in humid region of China's east coast
Jianjun Wang, Fei Wu, Jiali Shang, et al.
CATENA (2022) Vol. 213, pp. 106189-106189
Closed Access | Times Cited: 26
A Proposed Ensemble Feature Selection Method for Estimating Forest Aboveground Biomass from Multiple Satellite Data
Yuzhen Zhang, Jingjing Liu, Wenhao Li, et al.
Remote Sensing (2023) Vol. 15, Iss. 4, pp. 1096-1096
Open Access | Times Cited: 16
Mapping the Growing Stem Volume of the Coniferous Plantations in North China Using Multispectral Data from Integrated GF-2 and Sentinel-2 Images and an Optimized Feature Variable Selection Method
Xinyu Li, Hui Lin, Jiangping Long, et al.
Remote Sensing (2021) Vol. 13, Iss. 14, pp. 2740-2740
Open Access | Times Cited: 28
A Novel Method for Estimating Spatial Distribution of Forest Above-Ground Biomass Based on Multispectral Fusion Data and Ensemble Learning Algorithm
Xinyu Li, Meng Zhang, Jiangping Long, et al.
Remote Sensing (2021) Vol. 13, Iss. 19, pp. 3910-3910
Open Access | Times Cited: 28
An Overview of Using Unmanned Aerial System Mounted Sensors to Measure Plant Above-Ground Biomass
Aliasghar Bazrafkan, Nadia Delavarpour, Peter G. Oduor, et al.
Remote Sensing (2023) Vol. 15, Iss. 14, pp. 3543-3543
Open Access | Times Cited: 13
Assessing the effect of ensemble learning algorithms and validation approach on estimating forest aboveground biomass: a case study of natural secondary forest in Northeast China
Hung-Il Jin, Yinghui Zhao, Unil Pak, et al.
Geo-spatial Information Science (2024), pp. 1-20
Open Access | Times Cited: 4
Remote Sensing Estimation of Bamboo Forest Aboveground Biomass Based on Geographically Weighted Regression
Jingyi Wang, Huaqiang Du, Xuejian Li, et al.
Remote Sensing (2021) Vol. 13, Iss. 15, pp. 2962-2962
Open Access | Times Cited: 25
The Potential of Sentinel-2 Satellite Images for Land-Cover/Land-Use and Forest Biomass Estimation: A Review
Crismeire Isbaex, Ana Margarida Coelho
IntechOpen eBooks (2021)
Open Access | Times Cited: 24
Supervised soil salinity estimation and mapping for potential crop cultivation based on multi-date SAR Sentinel-1A imagery: a case study in the wet coast of Jiangsu Province, China
Jianjun Wang, Yin Quan, Jiali Shang, et al.
Environmental Geochemistry and Health (2025) Vol. 47, Iss. 6
Closed Access
Spectral features of Fe and organic carbon in estimating low and moderate concentration of heavy metals in mangrove sediments across different regions and habitat types
Demei Zhao, Jingzhe Wang, Jing Miao, et al.
Geoderma (2022) Vol. 426, pp. 116093-116093
Closed Access | Times Cited: 15
Coniferous Plantations Growing Stock Volume Estimation Using Advanced Remote Sensing Algorithms and Various Fused Data
Xinyu Li, Jiangping Long, Meng Zhang, et al.
Remote Sensing (2021) Vol. 13, Iss. 17, pp. 3468-3468
Open Access | Times Cited: 20
Biomass retrieval based on genetic algorithm feature selection and support vector regression in Alpine grassland using ground-based hyperspectral and Sentinel-1 SAR data
Eugenia Chiarito, Francesca Cigna, Giovanni Cuozzo, et al.
European Journal of Remote Sensing (2021) Vol. 54, Iss. 1, pp. 209-225
Open Access | Times Cited: 18
Analyzing streamflow variation in the data-sparse mountainous regions: An integrated CCA-RF-FA framework
Hao Wang, Yongping Li, Y.R. Liu, et al.
Journal of Hydrology (2021) Vol. 596, pp. 126056-126056
Open Access | Times Cited: 13
Estimation of above-ground biomass in dry temperate forests using Sentinel-2 data and random forest: a case study of the Swat area of Pakistan
Bilal Muhammad, Ashfaq U. Rehman, Faisal Mumtaz, et al.
Frontiers in Environmental Science (2024) Vol. 12
Open Access | Times Cited: 1
A review of paddy rice mapping with remote sensing technology
Xinyi Gao, Hong Chi, Jinliang Huang, et al.
National Remote Sensing Bulletin (2023), pp. 1-27
Open Access | Times Cited: 2
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