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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:

Land-subsidence susceptibility zonation using remote sensing, GIS, and probability models in a Google Earth Engine platform
Zeynab Najafi, Hamid Reza Pourghasemi, Gholamabbas Ghanbarian, et al.
Environmental Earth Sciences (2020) Vol. 79, Iss. 21
Closed Access | Times Cited: 20

Showing 20 citing articles:

Unveiling the Global Extent of Land Subsidence: The Sinking Crisis
Tsimur Davydzenka, Pejman Tahmasebi, Nima Shokri
Geophysical Research Letters (2024) Vol. 51, Iss. 4
Open Access | Times Cited: 18
An integrated InSAR-machine learning approach for ground deformation rate modeling in arid areas
Seyed Amir Naghibi, Behshid Khodaei, Hossein Hashemi
Journal of Hydrology (2022) Vol. 608, pp. 127627-127627
Open Access | Times Cited: 30
Cloud-based interactive susceptibility modeling of gully erosion in Google Earth Engine
Giacomo Titti, Gabriele Nicola Napoli, Christian Conoscenti, et al.
International Journal of Applied Earth Observation and Geoinformation (2022) Vol. 115, pp. 103089-103089
Open Access | Times Cited: 26
Modeling of land subsidence using GIS-based artificial neural network in Yunlin County, Taiwan
Cheng‐Yu Ku, Chih‐Yu Liu
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 15
Spatial modeling of susceptibility to subsidence using machine learning techniques
Majid Mohammady, Hamid Reza Pourghasemi, Mojtaba Amiri, et al.
Stochastic Environmental Research and Risk Assessment (2021)
Closed Access | Times Cited: 28
Assessment of groundwater sustainable development considering geo-environment stability and ecological environment: a case study in the Pearl River Delta, China
P. M. Huang, Chuanming Ma, Aiguo Zhou
Environmental Science and Pollution Research (2021) Vol. 29, Iss. 12, pp. 18010-18035
Closed Access | Times Cited: 24
Assessing hydrological erosion estimation using the Revised Universal Soil Loss Equation (RUSLE) model in Google Earth Engine: a case study of Medjerda River Catchment, Tunisia
Mouna Cherif, Salwa Saidi, Ahmed Ezzine, et al.
Euro-Mediterranean Journal for Environmental Integration (2025)
Closed Access
Performance Evaluation of GIS-Based Novel Ensemble Approaches for Land Subsidence Susceptibility Mapping
Alireza Arabameri, Saro Lee, Fatemeh Rezaie, et al.
Frontiers in Earth Science (2021) Vol. 9
Open Access | Times Cited: 22
Refined Zoning of Landslide Susceptibility: A Case Study in Enshi County, Hubei, China
Zhiye Wang, Chuanming Ma, Yang Qiu, et al.
International Journal of Environmental Research and Public Health (2022) Vol. 19, Iss. 15, pp. 9412-9412
Open Access | Times Cited: 13
The spatial distribution and expansion of subsided wetlands induced by underground coal mining in eastern China
Yongjun Yang, Yiyan Zhang, Xuewu Su, et al.
Environmental Earth Sciences (2021) Vol. 80, Iss. 3
Closed Access | Times Cited: 15
Mapping Risk to Land Subsidence: Developing a Two-Level Modeling Strategy by Combining Multi-Criteria Decision-Making and Artificial Intelligence Techniques
Ata Allah Nadiri, Marjan Moazamnia, Sina Sadeghfam, et al.
Water (2021) Vol. 13, Iss. 19, pp. 2622-2622
Open Access | Times Cited: 13
Land-subsidence susceptibility mapping: assessment of an adaptive neuro-fuzzy inference system–genetic algorithm hybrid model
Tang Wen, Wang Tiewang, Alireza Arabameri, et al.
Geocarto International (2022) Vol. 37, Iss. 26, pp. 12194-12218
Closed Access | Times Cited: 6
Land subsidence susceptibility assessment using advanced artificial intelligence models
Hairuo Yu, Alireza Arabameri, Romulus Costache, et al.
Geocarto International (2022) Vol. 37, Iss. 27, pp. 18067-18093
Closed Access | Times Cited: 6
Land Subsidence Susceptibility Mapping Using Machine Learning in the Google Earth Engine Platform
Tran Van Anh, Thanh Dong Khuc, Trung Khien Ha, et al.
Lecture notes on data engineering and communications technologies (2023), pp. 55-64
Closed Access | Times Cited: 2
Modeling future urban network capacity and land use/land cover simulation using GEE and remote sensing data
Muhammad Nabeel Khalid, Muhammad Nasar Ahmad, Muhammad Asif Javed, et al.
Arabian Journal of Geosciences (2023) Vol. 16, Iss. 11
Closed Access | Times Cited: 2
Land subsidence modeling and mapping in Darab region, Iran
Mohammad Reza Loveimi, Mahrooz Rezaei, Monireh Mina, et al.
Elsevier eBooks (2024), pp. 275-294
Closed Access
Urban Land Subsidence Using Remote Sensing Satellite Radar Image
Wenwen Wu
(2023), pp. 1-5
Closed Access
A spatiotemporal inference model for hazard chains based on weighted dynamic Bayesian networks for ground subsidence in mining areas
Yahong Liu, Zhang Jin
Spatial Statistics (2023) Vol. 58, pp. 100782-100782
Closed Access
Cloud-based interactive susceptibility modeling of natural hazards in Google Earth Engine
Giacomo Titti, Gabriele Napoli, Christian Conoscenti, et al.
EarthArXiv (California Digital Library) (2022)
Open Access
Automatic update method of GIS platform drawing model based on machine learning
Ji Yuan
Journal of Computational Methods in Sciences and Engineering (2021) Vol. 22, Iss. 2, pp. 425-435
Closed Access
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