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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:

Application of novel ensemble models and k-fold CV approaches for Land subsidence susceptibility modelling
Alireza Arabameri, M. Santosh, Fatemeh Rezaie, et al.
Stochastic Environmental Research and Risk Assessment (2021) Vol. 36, Iss. 1, pp. 201-223
Closed Access | Times Cited: 19

Showing 19 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
Convolutional neural network and long short-term memory algorithms for groundwater potential mapping in Anseong, South Korea
Wahyu Luqmanul Hakim, Arip Syaripudin Nur, Fatemeh Rezaie, et al.
Journal of Hydrology Regional Studies (2022) Vol. 39, pp. 100990-100990
Open Access | Times Cited: 43
Land subsidence susceptibility mapping based on InSAR and a hybrid machine learning approach
Ali Asghar Alesheikh, Zahra Chatrsimab, Fatemeh Rezaie, et al.
The Egyptian Journal of Remote Sensing and Space Science (2024) Vol. 27, Iss. 2, pp. 255-267
Open Access | Times Cited: 8
A novel explainable PSO-XGBoost model for regional flood frequency analysis at a national scale: Exploring spatial heterogeneity in flood drivers
Yousef Kanani‐Sadat, Abdolreza Safari, Mohsen Nasseri, et al.
Journal of Hydrology (2024) Vol. 638, pp. 131493-131493
Closed Access | Times Cited: 8
PS-InSAR Based Monitoring of Land Subsidence by Groundwater Extraction for Lahore Metropolitan City, Pakistan
Muhammad Afaq Hussain, Zhanlong Chen, Ying Zheng, et al.
Remote Sensing (2022) Vol. 14, Iss. 16, pp. 3950-3950
Open Access | Times Cited: 24
Landslide susceptibility mapping using deep learning models in Ardabil province, Iran
Hossein Hamedi, Ali Asghar Alesheikh, Mahdi Panahi, et al.
Stochastic Environmental Research and Risk Assessment (2022) Vol. 36, Iss. 12, pp. 4287-4310
Closed Access | Times Cited: 23
Land Subsidence and Groundwater Storage Assessment Using ICOPS, GRACE, and Susceptibility Mapping in Pekalongan, Indonesia
Wahyu Luqmanul Hakim, Muhammad Fulki Fadhillah, Kwang‐Jae Lee, et al.
IEEE Transactions on Geoscience and Remote Sensing (2023) Vol. 61, pp. 1-25
Open Access | Times Cited: 11
Revealing hidden risks: advanced assessment of urban land subsidence
Yun Feng Zhang, Xueyang Hu, Zhiqiang Zhao, et al.
Earth Science Informatics (2025) Vol. 18, Iss. 2
Closed Access
Landslide Susceptibility Mapping Based on Multitemporal Remote Sensing Image Change Detection and Multiexponential Band Math
Xianyu Yu, Yang Xia, Jianguo Zhou, et al.
Sustainability (2023) Vol. 15, Iss. 3, pp. 2226-2226
Open Access | Times Cited: 9
Mapping and modeling groundwater potential using machine learning, deep learning and ensemble learning models in the Saiss basin (Fez-Meknes Region, Morocco)
Hind Ragragui, My Hachem Aouragh, Abdellah El Hmaidi, et al.
Groundwater for Sustainable Development (2024) Vol. 26, pp. 101281-101281
Closed Access | Times Cited: 3
Deep learning models for drought susceptibility mapping in Southeast Queensland, Australia
Fatemeh Rezaie, Mahdi Panahi, Changhyun Jun, et al.
Stochastic Environmental Research and Risk Assessment (2025)
Closed Access
Identificação da correlação entre a subsidência de terreno e o nível das águas subterrâneas em Cangzhou, planície do norte da China, com base em séries temporais de PS-InSAR e abordagens de aprendizado de máquina
Mouigni Baraka Nafouanti, Junxia Li, Hexue Li, et al.
Hydrogeology Journal (2024) Vol. 32, Iss. 4, pp. 951-966
Closed Access | Times Cited: 2
Monitoring Analysis of Urban Subsidence in Northern Henan Province Based on TS-InSAR Technology
Huabin Chai, Yahui Ding, Jibiao Hu, et al.
Journal of Sensors (2024) Vol. 2024, pp. 1-14
Open Access | Times Cited: 2
Geostatistical Kriging Interpolation for Spatial Enhancement of MODIS Land Surface Temperature Imagery
Kul Vaibhav Sharma, Vijendra Kumar, Deepak Prajapat, et al.
Journal of the Indian Society of Remote Sensing (2024)
Closed Access | Times Cited: 1
InSAR-derived land subsidence in Wuhan between 2015 and 2020
Wei-Yu Lai, Qiang Shen, Hansheng Wang, et al.
All Earth (2022) Vol. 34, Iss. 1, pp. 224-242
Open Access | Times Cited: 5
A Discrete-Time Model-Based Method for Predicting Settlement of Geotechnical Foundations in Buildings
Chengwei Yang, Zhenzhen Jiang
Mobile Information Systems (2022) Vol. 2022, pp. 1-7
Open Access | Times Cited: 4
Sensitivity analysis of factors controlling earth fissures due to excessive groundwater pumping
Yueting Li, Noémi Friedman, Pietro Teatini, et al.
Stochastic Environmental Research and Risk Assessment (2022) Vol. 36, Iss. 11, pp. 3911-3928
Open Access | Times Cited: 4
Employing machine learning to document trends and seasonality of groundwater-induced subsidence
Sumriti Ranjan Patra, Hone‐Jay Chu, Tatas Tatas
Natural Hazards (2024)
Closed Access
Self-Powered Wireless Sensor Matrix for Air Pollution Detection with a Neural Predictor
Krzysztof Lalik, Jakub Kozak, Szymon Podlasek, et al.
Energies (2022) Vol. 15, Iss. 6, pp. 1962-1962
Open Access | Times Cited: 1
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