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 Monitoring and Building Risk Assessment Using InSAR and Machine Learning in a Loess Plateau City—A Case Study of Lanzhou, China
Yuanmao Xu, Zhen Wu, Huiwen Zhang, et al.
Remote Sensing (2023) Vol. 15, Iss. 11, pp. 2851-2851
Open Access | Times Cited: 8
Yuanmao Xu, Zhen Wu, Huiwen Zhang, et al.
Remote Sensing (2023) Vol. 15, Iss. 11, pp. 2851-2851
Open Access | Times Cited: 8
Showing 8 citing articles:
Land subsidence monitoring and analysis in Qingdao, China using time series InSAR combining PS and DS
Qiuxiang Tao, Xuepeng Li, Tengfei Gao, et al.
Geomatics Natural Hazards and Risk (2025) Vol. 16, Iss. 1
Open Access | Times Cited: 1
Qiuxiang Tao, Xuepeng Li, Tengfei Gao, et al.
Geomatics Natural Hazards and Risk (2025) Vol. 16, Iss. 1
Open Access | Times Cited: 1
Advanced risk assessment framework for land subsidence impacts on transmission towers in salt lake region
Bijing Jin, Taorui Zeng, Tengfei Wang, et al.
Environmental Modelling & Software (2024) Vol. 177, pp. 106058-106058
Closed Access | Times Cited: 5
Bijing Jin, Taorui Zeng, Tengfei Wang, et al.
Environmental Modelling & Software (2024) Vol. 177, pp. 106058-106058
Closed Access | Times Cited: 5
Identifying spatiotemporal pattern and trend prediction of land subsidence in Zhengzhou combining MT-InSAR, XGBoost and hydrogeological analysis
Zheng Zhou, Jiyuan Hu, Jiayao Wang, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Zheng Zhou, Jiyuan Hu, Jiayao Wang, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Subsidence Monitoring in Emilia-Romagna Region (Italy) from 2016 to 2021: From InSAR and GNSS Integration to Data Analysis
Gabriele Bitelli, A. Ferretti, C. Giannico, et al.
Remote Sensing (2025) Vol. 17, Iss. 6, pp. 947-947
Open Access
Gabriele Bitelli, A. Ferretti, C. Giannico, et al.
Remote Sensing (2025) Vol. 17, Iss. 6, pp. 947-947
Open 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.
Environmental Earth Sciences (2024) Vol. 83, Iss. 16
Open Access | Times Cited: 1
Jinlai Zhang, Pinglang Kou, Yuxiang Tao, et al.
Environmental Earth Sciences (2024) Vol. 83, Iss. 16
Open Access | Times Cited: 1
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
Jinlai Zhang, Pinglang Kou, Yuxiang Tao, et al.
Research Square (Research Square) (2024)
Open Access
Land subsidence risk assessment along metro lines in Shanghai using InSAR monitoring data and optical images
Jinhua Zhang, Huan Zhang, T.Y. Liu, et al.
Research Square (Research Square) (2024)
Open Access
Jinhua Zhang, Huan Zhang, T.Y. Liu, et al.
Research Square (Research Square) (2024)
Open Access
Analysis of Overpass Displacements Due to Subway Construction Land Subsidence Using Machine Learning
Roman Shults, Mykola Bilous, Azhar Ormambekova, et al.
Urban Science (2023) Vol. 7, Iss. 4, pp. 100-100
Open Access
Roman Shults, Mykola Bilous, Azhar Ormambekova, et al.
Urban Science (2023) Vol. 7, Iss. 4, pp. 100-100
Open Access
