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 in Bangkok vicinity: Causes and long-term trend analysis using InSAR and machine learning
Sakina Ahmed, Yusuke Hiraga, So Kazama
The Science of The Total Environment (2024) Vol. 946, pp. 174285-174285
Open Access | Times Cited: 6
Sakina Ahmed, Yusuke Hiraga, So Kazama
The Science of The Total Environment (2024) Vol. 946, pp. 174285-174285
Open Access | Times Cited: 6
Showing 6 citing articles:
Unveiling global flood hotspots: Optimized machine learning techniques for enhanced flood susceptibility modeling
Mahdi Panahi, Khabat Khosravi, Fatemeh Rezaie, et al.
Journal of Hydrology Regional Studies (2025) Vol. 58, pp. 102285-102285
Closed Access | Times Cited: 1
Mahdi Panahi, Khabat Khosravi, Fatemeh Rezaie, et al.
Journal of Hydrology Regional Studies (2025) Vol. 58, pp. 102285-102285
Closed Access | Times Cited: 1
Land subsidence simulation considering groundwater and compressible layers based on an improved machine learning method
Liyuan Shi, Huili Gong, Beibei Chen, et al.
Journal of Hydrology (2025) Vol. 656, pp. 133008-133008
Closed Access | Times Cited: 1
Liyuan Shi, Huili Gong, Beibei Chen, et al.
Journal of Hydrology (2025) Vol. 656, pp. 133008-133008
Closed Access | Times Cited: 1
Extreme flood significantly altered urban ground deformation patterns: multi-source remote sensing evidence from the 2020 Chongqing flood
Dong Xu, Pinglang Kou, Zhengwu Yuan, et al.
Hydrological Sciences Journal (2025), pp. 1-19
Closed Access
Dong Xu, Pinglang Kou, Zhengwu Yuan, et al.
Hydrological Sciences Journal (2025), pp. 1-19
Closed Access
Tracking 30-year evolution of subsidence in Shanghai utilizing multi-sensor InSAR and random forest modelling
Can Lu, Hanqing Xu, Qian Yao, et al.
International Journal of Applied Earth Observation and Geoinformation (2025) Vol. 140, pp. 104606-104606
Closed Access
Can Lu, Hanqing Xu, Qian Yao, et al.
International Journal of Applied Earth Observation and Geoinformation (2025) Vol. 140, pp. 104606-104606
Closed Access
Dynamic Geo-Visualization of Urban Land Subsidence and Land Cover Data Using PS-InSAR and Google Earth Engine (GEE) for Spatial Planning Assessment
Joko Widodo, Edy Trihatmoko, Muhammad Rokhis Khomarudin, et al.
Urban Science (2024) Vol. 8, Iss. 4, pp. 234-234
Open Access | Times Cited: 1
Joko Widodo, Edy Trihatmoko, Muhammad Rokhis Khomarudin, et al.
Urban Science (2024) Vol. 8, Iss. 4, pp. 234-234
Open Access | Times Cited: 1
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
Sumriti Ranjan Patra, Hone‐Jay Chu, Tatas Tatas
Natural Hazards (2024)
Closed Access
Risk Assessment of Ground Subsidence in Foshan (China) Based on the Integration of SBAS-InSAR Observations and Inducing Factors
Fook Hou Lee, Guilin Lai, Min Wang, et al.
Remote Sensing (2024) Vol. 17, Iss. 1, pp. 108-108
Open Access
Fook Hou Lee, Guilin Lai, Min Wang, et al.
Remote Sensing (2024) Vol. 17, Iss. 1, pp. 108-108
Open Access
