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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:

Long-Term Surface Water Dynamics Analysis Based on Landsat Imagery and the Google Earth Engine Platform: A Case Study in the Middle Yangtze River Basin
Chao Wang, Mingming Jia, Nengcheng Chen, et al.
Remote Sensing (2018) Vol. 10, Iss. 10, pp. 1635-1635
Open Access | Times Cited: 147

Showing 1-25 of 147 citing articles:

Google Earth Engine for geo-big data applications: A meta-analysis and systematic review
Haifa Tamiminia, Bahram Salehi, Masoud Mahdianpari, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2020) Vol. 164, pp. 152-170
Closed Access | Times Cited: 965
Progress and Trends in the Application of Google Earth and Google Earth Engine
Qiang Zhao, Le Yu, Xuecao Li, et al.
Remote Sensing (2021) Vol. 13, Iss. 18, pp. 3778-3778
Open Access | Times Cited: 186
Machine Learning Classification of Mediterranean Forest Habitats in Google Earth Engine Based on Seasonal Sentinel-2 Time-Series and Input Image Composition Optimisation
Salvatore Praticò, Francesco Solano, Salvatore Di Fazio, et al.
Remote Sensing (2021) Vol. 13, Iss. 4, pp. 586-586
Open Access | Times Cited: 176
Google Earth Engine and Artificial Intelligence (AI): A Comprehensive Review
Liping Yang, Joshua Driscol, Sarigai Sarigai, et al.
Remote Sensing (2022) Vol. 14, Iss. 14, pp. 3253-3253
Open Access | Times Cited: 155
Analysis of Land Use and Land Cover Using Machine Learning Algorithms on Google Earth Engine for Munneru River Basin, India
Kotapati Narayana Loukika, K. Venkata Reddy, Venkataramana Sridhar
Sustainability (2021) Vol. 13, Iss. 24, pp. 13758-13758
Open Access | Times Cited: 119
Long-Term Changes of Open-Surface Water Bodies in the Yangtze River Basin Based on the Google Earth Engine Cloud Platform
Yue Deng, Weiguo Jiang, Zhenghong Tang, et al.
Remote Sensing (2019) Vol. 11, Iss. 19, pp. 2213-2213
Open Access | Times Cited: 142
An Urban Water Extraction Method Combining Deep Learning and Google Earth Engine
Yudie Wang, Zhiwei Li, Chao Zeng, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2020) Vol. 13, pp. 769-782
Open Access | Times Cited: 133
Applications of Google Earth Engine in fluvial geomorphology for detecting river channel change
Richard Boothroyd, Richard Williams, Trevor Hoey, et al.
Wiley Interdisciplinary Reviews Water (2020) Vol. 8, Iss. 1
Open Access | Times Cited: 129
Comparison between random forest and support vector machine algorithms for LULC classification
Cengiz Avci, Muhammed BUDAK, Nur Yağmur, et al.
International Journal of Engineering and Geosciences (2021) Vol. 8, Iss. 1, pp. 1-10
Open Access | Times Cited: 103
Changes in Water Surface Area during 1989–2017 in the Huai River Basin using Landsat Data and Google Earth Engine
Haoming Xia, Jinyu Zhao, Yaochen Qin, et al.
Remote Sensing (2019) Vol. 11, Iss. 15, pp. 1824-1824
Open Access | Times Cited: 101
Accuracy Improvements to Pixel-Based and Object-Based LULC Classification with Auxiliary Datasets from Google Earth Engine
Le’an Qu, Zhenjie Chen, Manchun Li, et al.
Remote Sensing (2021) Vol. 13, Iss. 3, pp. 453-453
Open Access | Times Cited: 99
Identification of waterlogging in Eastern China induced by mining subsidence: A case study of Google Earth Engine time-series analysis applied to the Huainan coal field
Tingting He, Wu Xiao, Zhao Yanling, et al.
Remote Sensing of Environment (2020) Vol. 242, pp. 111742-111742
Closed Access | Times Cited: 93
Incorporating the Plant Phenological Trajectory into Mangrove Species Mapping with Dense Time Series Sentinel-2 Imagery and the Google Earth Engine Platform
Huiying Li, Mingming Jia, Rong Zhang, et al.
Remote Sensing (2019) Vol. 11, Iss. 21, pp. 2479-2479
Open Access | Times Cited: 87
Tracking long-term floodplain wetland changes: A case study in the China side of the Amur River Basin
Mingming Jia, Dehua Mao, Zongming Wang, et al.
International Journal of Applied Earth Observation and Geoinformation (2020) Vol. 92, pp. 102185-102185
Open Access | Times Cited: 71
Surface water dynamics analysis based on sentinel imagery and Google Earth Engine Platform: a case study of Jayakwadi dam
Vidya. U. Kandekar, Chaitanya B. Pande, J. Rajesh, et al.
Sustainable Water Resources Management (2021) Vol. 7, Iss. 3
Closed Access | Times Cited: 69
Improved machine-learning mapping of local climate zones in metropolitan areas using composite Earth observation data in Google Earth Engine
Lamuel Chi Hay Chung, Jing Xie, Chao Ren
Building and Environment (2021) Vol. 199, pp. 107879-107879
Closed Access | Times Cited: 66
Regional soil organic matter mapping models based on the optimal time window, feature selection algorithm and Google Earth Engine
Chong Luo, Xinle Zhang, Yihao Wang, et al.
Soil and Tillage Research (2022) Vol. 219, pp. 105325-105325
Closed Access | Times Cited: 54
Change Detection of Amazonian Alluvial Gold Mining Using Deep Learning and Sentinel-2 Imagery
Seda Çamalan, Kangning Cui, V. Paúl Pauca, et al.
Remote Sensing (2022) Vol. 14, Iss. 7, pp. 1746-1746
Open Access | Times Cited: 47
A New Clustering Method to Generate Training Samples for Supervised Monitoring of Long-Term Water Surface Dynamics Using Landsat Data through Google Earth Engine
Alireza Taheri Dehkordi, Mohammad Javad Valadan Zoej, Hani Ghasemi, et al.
Sustainability (2022) Vol. 14, Iss. 13, pp. 8046-8046
Open Access | Times Cited: 43
Assessment of environmentally sensitive areas to desertification in the Blue Nile Basin driven by the MEDALUS-GEE framework
Abdelrazek Elnashar, Hongwei Zeng, Bingfang Wu, et al.
The Science of The Total Environment (2022) Vol. 815, pp. 152925-152925
Closed Access | Times Cited: 40
Monitoring long-term land use, land cover change, and desertification in the Ternata oasis, Middle Draa Valley, Morocco
Adil Moumane, Jamal Al Karkouri, Adnane Benmansour, et al.
Remote Sensing Applications Society and Environment (2022) Vol. 26, pp. 100745-100745
Closed Access | Times Cited: 39
Long-term mapping of land use and cover changes using Landsat images on the Google Earth Engine Cloud Platform in bay area - A case study of Hangzhou Bay, China
Jintao Liang, Chao Chen, Yongze Song, et al.
Sustainable Horizons (2023) Vol. 7, pp. 100061-100061
Open Access | Times Cited: 39
Variability of urban fractional vegetation cover and its driving factors in 328 cities in China
Fei Feng, Xin Yang, Baoquan Jia, et al.
Science China Earth Sciences (2024) Vol. 67, Iss. 2, pp. 466-482
Open Access | Times Cited: 16
Extraction of Surface Water Bodies using Optical Remote Sensing Images: A Review
R. Nagaraj, Lakshmi Sutha Kumar
Earth Science Informatics (2024) Vol. 17, Iss. 2, pp. 893-956
Closed Access | Times Cited: 15
Remote Sensing of Surface Water Dynamics in the Context of Global Change—A Review
Patrick Sogno, Igor Klein, Claudia Kuenzer
Remote Sensing (2022) Vol. 14, Iss. 10, pp. 2475-2475
Open Access | Times Cited: 31
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