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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:

Testing Accuracy of Land Cover Classification Algorithms in the Qilian Mountains Based on GEE Cloud Platform
Yanpeng Yang, Dong Yang, Xufeng Wang, et al.
Remote Sensing (2021) Vol. 13, Iss. 24, pp. 5064-5064
Open Access | Times Cited: 52

Showing 1-25 of 52 citing articles:

Application of machine learning approaches for land cover monitoring in northern Cameroon
Yisa Ginath Yuh, W. Tracz, H. Damon Matthews, et al.
Ecological Informatics (2022) Vol. 74, pp. 101955-101955
Open Access | Times Cited: 75
Land Use/Land Cover Change and Their Driving Factors in the Yellow River Basin of Shandong Province Based on Google Earth Engine from 2000 to 2020
Jian Cui, Mingshui Zhu, Yong Liang, et al.
ISPRS International Journal of Geo-Information (2022) Vol. 11, Iss. 3, pp. 163-163
Open Access | Times Cited: 62
PlanetScope, Sentinel-2, and Sentinel-1 Data Integration for Object-Based Land Cover Classification in Google Earth Engine
Marco Vizzari
Remote Sensing (2022) Vol. 14, Iss. 11, pp. 2628-2628
Open Access | Times Cited: 60
Machine Learning Algorithms for Satellite Image Classification Using Google Earth Engine and Landsat Satellite Data: Morocco Case Study
Hafsa Ouchra, Abdessamad Belangour, Allae Erraissi
IEEE Access (2023) Vol. 11, pp. 71127-71142
Open Access | Times Cited: 28
Land cover changes in grassland landscapes: combining enhanced Landsat data composition, LandTrendr, and machine learning classification in google earth engine with MLP-ANN scenario forecasting
Cecilia Parracciani, Daniela Gigante, Onisimo Mutanga, et al.
GIScience & Remote Sensing (2024) Vol. 61, Iss. 1
Open Access | Times Cited: 11
Land Use/Land Cover Mapping Based on GEE for the Monitoring of Changes in Ecosystem Types in the Upper Yellow River Basin over the Tibetan Plateau
Senyao Feng, Wenlong Li, Jing Xu, et al.
Remote Sensing (2022) Vol. 14, Iss. 21, pp. 5361-5361
Open Access | Times Cited: 37
Mapping of Ecological Environment Based on Google Earth Engine Cloud Computing Platform and Landsat Long-Term Data: A Case Study of the Zhoushan Archipelago
Chao Chen, Liyan Wang, Gang Yang, et al.
Remote Sensing (2023) Vol. 15, Iss. 16, pp. 4072-4072
Open Access | Times Cited: 16
Use of machine learning-based classification algorithms in the monitoring of Land Use and Land Cover practices in a hilly terrain
Deepanshu Parashar, Ashwani Kumar, Sarita Palni, et al.
Environmental Monitoring and Assessment (2023) Vol. 196, Iss. 1
Closed Access | Times Cited: 13
An enhanced approach to mangrove forest analysis in the Colombian Pacific coast using optical and SAR data in Google Earth Engine
John Josephraj Selvaraj, Bryan Ernesto Gallego Pérez
Remote Sensing Applications Society and Environment (2023) Vol. 30, pp. 100938-100938
Open Access | Times Cited: 12
A contrarian growth: The spatiotemporal dynamics of open-surface water bodies on the northern slope of Kunlun Mountains
Haitian Lu, Ruifeng Zhao, L. Zhao, et al.
Ecological Indicators (2023) Vol. 157, pp. 111249-111249
Open Access | Times Cited: 12
Extraction of Information on the Flooding Extent of Agricultural Land in Henan Province Based on Multi-Source Remote Sensing Images and Google Earth Engine
Jiaqi Cui, Yulong Guo, Qiang Xu, et al.
Agronomy (2023) Vol. 13, Iss. 2, pp. 355-355
Open Access | Times Cited: 11
Application of Machine Learning to Tree Species Classification Using Active and Passive Remote Sensing: A Case Study of the Duraer Forestry Zone
Su Rina, Hong Ying, Yu Shan, et al.
Remote Sensing (2023) Vol. 15, Iss. 10, pp. 2596-2596
Open Access | Times Cited: 11
An enhanced monitoring method for spatio-temporal dynamics of salt marsh vegetation using google earth engine
Wenbin Yi, Nan Wang, Huiying Yu, et al.
Estuarine Coastal and Shelf Science (2024) Vol. 298, pp. 108658-108658
Closed Access | Times Cited: 4
Comparison of machine and deep learning algorithms using Google Earth Engine and Python for land classifications
Anam Nigar, Yang Li, Muhammad Yousuf Jat Baloch, et al.
Frontiers in Environmental Science (2024) Vol. 12
Open Access | Times Cited: 4
Integrating google earth engine and random forest for land use and land cover change detection and analysis in the upper Tekeze Basin
Alelgn Ewunetu, Gebeyehu Abebe
Earth Science Informatics (2025) Vol. 18, Iss. 2
Closed Access
Analysis Of Backscatter To Extraction Of Shoreline Using Machine Learning Methods In The Bangkalan Regency
Fatchul Arifin, Ashari Wicaksono
BIO Web of Conferences (2025) Vol. 157, pp. 07007-07007
Open Access
Unlocking drought in pistachio orchards: monitoring and forecasting using landsat time series and machine learning techniques
Neda Zarei, Hooman Latifi, Ali Hosseininaveh Ahmadabadian
Horticulture Environment and Biotechnology (2025)
Closed Access
Analysis of Temporal and Spatial Changes in Ecological Environment Quality on Changxing Island Using an Optimized Remote Sensing Ecological Index
Y Zhu, Yingzi Hou, Fangxiong Wang, et al.
Sensors (2025) Vol. 25, Iss. 6, pp. 1791-1791
Open Access
Evaluating machine learning algorithms for classifying urban heterogeneous landscapes using GEE
Padmanabha Chowdhury, Rakibul Islam, Rifat Bin Hossain, et al.
Elsevier eBooks (2025), pp. 379-397
Closed Access
Machine Learning-based Spatio-Temporal Assessment of Land Use/Land Cover Change in Barishal District of Bangladesh between 1988 and 2024
Walida Zaman, H Rainak Khan Real
Environmental Challenges (2025), pp. 101168-101168
Open Access
Harnessing GIS, remote sensing, and machine learning for sustainable management and carbon sequestration of non-timber forest products in Gujarat, India
Shrishti Rajput, Agradeep Mohanta, Biplab Banerjee, et al.
Agroforestry Systems (2025) Vol. 99, Iss. 5
Closed Access
Quantitative Analysis of Climate Variability and Human Activities on Vegetation Variations in the Qilian Mountain National Nature Reserve from 1986 to 2021
Xiaoxian Wang, Xiuxia Zhang, Wangping Li, et al.
Forests (2023) Vol. 14, Iss. 10, pp. 2042-2042
Open Access | Times Cited: 9
Machine Learning for Urban Land Use/ Cover Mapping: Comparison of Artificial Neural Network, Random Forest and Support Vector Machine, A Case Study of Dilla Town
Melion Kasahun, Abiyot Legesse
Heliyon (2024) Vol. 10, Iss. 20, pp. e39146-e39146
Closed Access | Times Cited: 3
Prediction of land use and land cover change in two watersheds in the Senegal River basin (West Africa) using the Multilayer Perceptron and Markov chain model
Mame Henriette Astou Sambou, Jean Albergel, Expédit Vissin, et al.
European Journal of Remote Sensing (2023) Vol. 56, Iss. 1
Open Access | Times Cited: 9
Extraction of Mountain Grasslands in Yunnan, China, from Sentinel-2 Data during the Optimal Phenological Period Using Feature Optimization
Xinmeng Cheng, Wendou Liu, Junhong Zhou, et al.
Agronomy (2022) Vol. 12, Iss. 8, pp. 1948-1948
Open Access | Times Cited: 11
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