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:

Inversion of Different Cultivated Soil Types’ Salinity Using Hyperspectral Data and Machine Learning
Pingping Jia, Junhua Zhang, Wei He, et al.
Remote Sensing (2022) Vol. 14, Iss. 22, pp. 5639-5639
Open Access | Times Cited: 15

Showing 15 citing articles:

Challenges and Opportunities in Remote Sensing for Soil Salinization Mapping and Monitoring: A Review
Ghada Sahbeni, Maurice Ngabire, Peter K. Musyimi, et al.
Remote Sensing (2023) Vol. 15, Iss. 10, pp. 2540-2540
Open Access | Times Cited: 56
Spatial prediction of soil salinity based on the Google Earth Engine platform with multitemporal synthetic remote sensing images
Shilong Ma, Baozhong He, Xiangyu Ge, et al.
Ecological Informatics (2023) Vol. 75, pp. 102111-102111
Closed Access | Times Cited: 23
Inversion of coastal cultivated soil salt content based on multi-source spectra and environmental variables
Pingping Jia, Wei He, Yi Hu, et al.
Soil and Tillage Research (2024) Vol. 241, pp. 106124-106124
Closed Access | Times Cited: 7
Comparing Machine Learning Algorithms for Soil Salinity Mapping Using Topographic Factors and Sentinel-1/2 Data: A Case Study in the Yellow River Delta of China
Jie Li, Tingting Zhang, Yun Shao, et al.
Remote Sensing (2023) Vol. 15, Iss. 9, pp. 2332-2332
Open Access | Times Cited: 12
Application of a Hyperspectral Remote Sensing Model for the Inversion of Nickel Content in Urban Soil
Qing Zhong, Mamattursun Eziz, Rukeya Sawut, et al.
Sustainability (2023) Vol. 15, Iss. 18, pp. 13948-13948
Open Access | Times Cited: 9
Low-Cost Optical Sensors for Soil Composition Monitoring
Francisco Javier Diaz, Ahmad Ali, Lorena Parra, et al.
Sensors (2024) Vol. 24, Iss. 4, pp. 1140-1140
Open Access | Times Cited: 3
Estimation of Anthocyanins in Leaves of Trees with Apple Mosaic Disease Based on Hyperspectral Data
Zijuan Zhang, Danyao Jiang, Qingrui Chang, et al.
Remote Sensing (2023) Vol. 15, Iss. 7, pp. 1732-1732
Open Access | Times Cited: 7
Estimation of soil salinity using satellite-based variables and machine learning methods
Wanli Wang, Jinguang Sun
Earth Science Informatics (2024) Vol. 17, Iss. 6, pp. 5049-5061
Closed Access | Times Cited: 2
UAV hyperspectral analysis of secondary salinization in arid oasis cotton fields: effects of FOD feature selection and SOA-RF
Zeyuan Wang, Jianli Ding, Jiao Tan, et al.
Frontiers in Plant Science (2024) Vol. 15
Open Access | Times Cited: 1
Rapid estimation of soil water content based on hyperspectral reflectance combined with continuous wavelet transform, feature extraction, and extreme learning machine
Shaomin Chen, Jiachen Gao, Fangchuan Lou, et al.
PeerJ (2024) Vol. 12, pp. e17954-e17954
Open Access | Times Cited: 1
A Study on Hyperspectral Soil Moisture Content Prediction by Incorporating a Hybrid Neural Network into Stacking Ensemble Learning
Yuzhu Yang, Hongda Li, Miao Sun, et al.
Agronomy (2024) Vol. 14, Iss. 9, pp. 2054-2054
Open Access | Times Cited: 1
Hyperspectral estimation of mercury content of soil in Oasis city in arid zones of China
Qing Zhong, Mamattursun Eziz, Mireguli Ainiwaer, et al.
Geocarto International (2024) Vol. 39, Iss. 1
Open Access
Estimating soil moisture and organic matter contents in salt-affected farmlands using hyperspectral remote sensing machine learning
Qi-Dong Ding, Huayu Huang, Junhua Zhang, et al.
Research Square (Research Square) (2024)
Open Access
Comparative Analysis of Tillage Indices and Machine Learning Algorithms for Maize Residue Cover Prediction
Jian Li, Kewen Shao, Jia Du, et al.
Remote Sensing (2024) Vol. 17, Iss. 1, pp. 105-105
Open Access
Remote Sensing Inversion of Aboveground Biomass of Grassland in Lanzhou City Based on Machine Learning Algorithm
Wenjing Dong, Hua Zhang
Academic Journal of Environment & Earth Science (2023) Vol. 5, Iss. 10
Open Access | Times Cited: 1
Page 1

Scroll to top