Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Comparison of Machine Learning Regression Algorithms for Cotton Leaf Area Index Retrieval Using Sentinel-2 Spectral Bands
Huihui Mao, Jihua Meng, Fujiang Ji, et al.
Applied Sciences (2019) Vol. 9, Iss. 7, pp. 1459-1459
Open Access | Times Cited: 60

Showing 26-50 of 60 citing articles:

Estimation of reference evapotranspiration using machine learning models with limited data
Adeeba Ayaz, Maddu Rajesh, Shailesh Kumar Singh, et al.
AIMS Geosciences (2021) Vol. 7, Iss. 3, pp. 268-290
Open Access | Times Cited: 20
Reference evapotranspiration prediction using machine learning models: An empirical study from minimal climate data
SHALOO SHALOO, Bipin Kumar, Himani Bisht, et al.
Agronomy Journal (2023) Vol. 116, Iss. 3, pp. 956-972
Closed Access | Times Cited: 8
Non-Parametric Statistical Approaches for Leaf Area Index Estimation from Sentinel-2 Data: A Multi-Crop Assessment
Margherita De Peppo, Andrea Taramelli, Mirco Boschetti, et al.
Remote Sensing (2021) Vol. 13, Iss. 14, pp. 2841-2841
Open Access | Times Cited: 18
Earth Observation Satellite Imagery Information Based Decision Support Using Machine Learning
Bruno Ferreira, Rui Silva, Muriel Iten
Remote Sensing (2022) Vol. 14, Iss. 15, pp. 3776-3776
Open Access | Times Cited: 12
Evaluating the contribution of Sentinel-2 view and illumination geometry to the accuracy of retrieving essential crop parameters
Mahlatse Kganyago, Georgios Ovakoglou, Paidamwoyo Mhangara, et al.
GIScience & Remote Sensing (2023) Vol. 60, Iss. 1
Open Access | Times Cited: 7
Improving crop modeling in saline soils by predicting root length density dynamics with machine learning algorithms
Liming Dong, Guoqing Lei, Jiesheng Huang, et al.
Agricultural Water Management (2023) Vol. 287, pp. 108425-108425
Open Access | Times Cited: 7
Construction of Remote Sensing Quantitative Model for Biomass of Deciduous Broad-Leaved Forest in Mazongling Nature Reserve Based on Machine Learning
Xuehai Tang, Dagui Yu, Haiyan Lv, et al.
Journal of the Indian Society of Remote Sensing (2024) Vol. 52, Iss. 9, pp. 1953-1968
Open Access | Times Cited: 2
Satellite‐Derived Bathymetry in Dynamic Coastal Geomorphological Environments Through Machine Learning Algorithms
Mohammad Ashphaq, Pankaj Srivastava, Debayudh Mitra
Earth and Space Science (2024) Vol. 11, Iss. 7
Open Access | Times Cited: 2
Identifying TSM dynamics in arid inland lakes combining satellite imagery and wind speed
Ashkan Noori, Yusef Kheyruri, Ahmad Sharafati, et al.
Journal of Hydrology (2024), pp. 132423-132423
Closed Access | Times Cited: 2
Evaluation of Machine Learning Predictions of a Highly Resolved Time Series of Chlorophyll-a Concentration
Felipe de Luca Lopes de Amorim, Johannes Rick, Gerrit Lohmann, et al.
Applied Sciences (2021) Vol. 11, Iss. 16, pp. 7208-7208
Open Access | Times Cited: 16
Analysis of univariate linear, robust-linear, and non-linear machine learning algorithms for satellite-derived bathymetry in complex coastal terrain
Mohammad Ashphaq, Pankaj Kumar Srivastava, Debashis Mitra
Regional Studies in Marine Science (2022) Vol. 56, pp. 102678-102678
Closed Access | Times Cited: 10
Mapping spatial variability of foliar nitrogen and carbon in Indian tropical moist deciduous sal (Shorea robusta) forest using machine learning algorithms and Sentinel-2 data
Vaishali Vasudeva, Subrata Nandy, Hitendra Padalia, et al.
International Journal of Remote Sensing (2020) Vol. 42, Iss. 3, pp. 1139-1159
Closed Access | Times Cited: 16
Regional Crop Characterization Using Multi-Temporal Optical and Synthetic Aperture Radar Earth Observations Data
Hazhir Bahrami, Saeid Homayouni, Heather McNairn, et al.
Canadian Journal of Remote Sensing (2022) Vol. 48, Iss. 2, pp. 258-277
Closed Access | Times Cited: 10
A COMPARISON OF TREE-BASED REGRESSION MODELS FOR SOIL MOISTURE ESTIMATION USING SAR DATA
Zeinab Akhavan, Mahdi Hasanlou, Mohammad Reza Hosseini
ISPRS annals of the photogrammetry, remote sensing and spatial information sciences (2023) Vol. X-4/W1-2022, pp. 37-42
Open Access | Times Cited: 4
Estimation of shrub willow biophysical parameters across time and space from Sentinel-2 and unmanned aerial system (UAS) data
Jin Xu, Lindi J. Quackenbush, Timothy A. Volk, et al.
Field Crops Research (2022) Vol. 287, pp. 108655-108655
Open Access | Times Cited: 6
Predicting CO and NOx Emissions from a Gas Turbine Using Machine Learning Techniques
Muhammad Rubayat Bin Shahadat, Michael S. Murillo, Farhad Jaberi
AIAA SCITECH 2022 Forum (2023)
Closed Access | Times Cited: 3
Evaluation of Machine Learning Algorithms in the Classification of Multispectral Images from the Sentinel-2A/2B Orbital Sensor for Mapping the Environmental Dynamics of Ria Formosa (Algarve, Portugal)
Flavo Elano Soares de Souza, José Rodrigues
ISPRS International Journal of Geo-Information (2023) Vol. 12, Iss. 9, pp. 361-361
Open Access | Times Cited: 3
Special Issue on Machine Learning Techniques Applied to Geoscience Information System and Remote Sensing
Hyung-Sup Jung, Saro Lee
Applied Sciences (2019) Vol. 9, Iss. 12, pp. 2446-2446
Open Access | Times Cited: 8
A Hybrid Leaf Area Index Estimation Method of Dioscorea Polystachya Turczaninow Using Sentinel-2 Vegetation Indices
Zhulin Chen, Tingting Shi, Xiaobo Zhang, et al.
IEEE Transactions on Geoscience and Remote Sensing (2022) Vol. 60, pp. 1-13
Closed Access | Times Cited: 5
Machine learning modelling of crop structure within the Maize Triangle of South Africa
Laven Naidoo, Russell Main, Moses Azong Cho, et al.
International Journal of Remote Sensing (2022) Vol. 43, Iss. 1, pp. 27-51
Closed Access | Times Cited: 4
Comparison of the hybrid of radiative transfer model and machine learning methods in leaf area index of grassland mapping
Gexia Qin, Jing Wu, Chunbin Li, et al.
Theoretical and Applied Climatology (2023) Vol. 155, Iss. 4, pp. 2757-2773
Open Access | Times Cited: 2
Improving leaf area index retrieval using spectral characteristic parameters and data splitting
Yinghao Lin, Huaifei Shen, Qingjiu Tian, et al.
International Journal of Remote Sensing (2019) Vol. 41, Iss. 5, pp. 1741-1759
Closed Access | Times Cited: 4
Ensemble Learning for Crop Monitoring from Multitemporal Optical and Synthetic Aperture Radar Earth Observations
Hazhir Bahrami, Saeid Homayouni, Masoud Mahdianpari, et al.
(2021), pp. 5929-5932
Closed Access | Times Cited: 4
Gaussian Process Modeling of In-Season Physiological Parameters of Spring Wheat Based on Airborne Imagery from Two Hyperspectral Cameras and Apparent Soil Electrical Conductivity
Wiktor R. Żelazny, Krzysztof Kuśnierek, Jakob Geipel
Remote Sensing (2022) Vol. 14, Iss. 23, pp. 5977-5977
Open Access | Times Cited: 3
Comments on “Predicting permeability changes with injecting CO2 in coal seams during CO2 geological sequestration: A comparative study among six SVM-based hybrid models” Science of the Total Environment, 705, 135941 (2020)
Rana Muhammad Adnan, Zhongmin Liang, Özgür Kişi
The Science of The Total Environment (2020) Vol. 744, pp. 139486-139486
Closed Access | Times Cited: 3

Scroll to top