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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 hybrid model for land subsidence susceptibility mapping
Zhongjie Shen, M. Santosh, Alireza Arabameri
Geological Journal (2022) Vol. 58, Iss. 6, pp. 2302-2320
Closed Access | Times Cited: 12

Showing 12 citing articles:

Land subsidence prediction in coal mining using machine learning models and optimization techniques
Shirin Jahanmiri, Majid Noorian-Bidgoli
Environmental Science and Pollution Research (2024) Vol. 31, Iss. 22, pp. 31942-31966
Closed Access | Times Cited: 9
An evaluative technique for drought impact on variation in agricultural LULC using remote sensing and machine learning
Musa Mustapha, Mhamed Zineddine
Environmental Monitoring and Assessment (2024) Vol. 196, Iss. 6
Closed Access | Times Cited: 9
RETRACTED: A systematic review on climate change and geo‐environmental factors induced land degradation: Processes, policy‐practice gap and its management strategies
Paramita Roy, Subodh Chandra Pal, Rabin Chakrabortty, et al.
Geological Journal (2022) Vol. 58, Iss. 9, pp. 3487-3514
Closed Access | Times Cited: 36
Application of artificial intelligence in geotechnical and geohazard investigations
Wengang Zhang, Biswajeet Pradhan, Bruno Stuyts, et al.
Geological Journal (2023) Vol. 58, Iss. 6, pp. 2187-2194
Closed Access | Times Cited: 14
Urban ground subsidence monitoring and prediction using time-series InSAR and machine learning approaches: a case study of Tianjin, China
Jinlai Zhang, Pinglang Kou, Yuxiang Tao, et al.
Environmental Earth Sciences (2024) Vol. 83, Iss. 16
Open Access | Times Cited: 5
Enhancing a convolutional neural network model for land subsidence susceptibility mapping using hybrid meta-heuristic algorithms
Ali Asghar Jafari, Ali Asghar Alesheikh, Fatemeh Rezaie, et al.
International Journal of Coal Geology (2023) Vol. 277, pp. 104350-104350
Closed Access | Times Cited: 12
Advanced time-series InSAR analysis to estimate surface deformation and utilization of hybrid deep learning for susceptibility mapping in the Jakarta metropolitan region
Wahyu Luqmanul Hakim, Muhammad Fulki Fadhillah, Joong‐Sun Won, et al.
GIScience & Remote Sensing (2025) Vol. 62, Iss. 1
Open Access
IACR‐CI‐ID‐82 Geological Journal Final Correction Article

Geological Journal (2025)
Closed Access
Landslide Susceptibility Assessment Considering Time-Varying of Dynamic Factors
Zhongbo Li, Chao Yin, Ziyong Tan, et al.
Natural Hazards Review (2024) Vol. 25, Iss. 3
Closed Access | Times Cited: 3
Land Subsidence Prediction in Coal Mining Using Machine Learning Models and Optimization Techniques
Shirin Jahanmiri, Majid Noorian-Bidgoli
Research Square (Research Square) (2023)
Open Access | Times Cited: 2
Integration of Icops and Mintpy to Estimate Surface Deformation and Utilization of Deep Learning for Susceptibility Mapping in the Jakarta Metropolitan Region
Wahyu Luqmanul Hakim, Muhammad Fulki Fadhillah, Joong‐Sun Won, et al.
(2024)
Closed Access
Urban Ground Subsidence Monitoring and Prediction Using Time-Series InSAR and Machine Learning Approaches: A Case Study of Tianjin, China
Jinlai Zhang, Pinglang Kou, Yuxiang Tao, et al.
Research Square (Research Square) (2024)
Open Access
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