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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:

Integrating InSAR and deep-learning for modeling and predicting subsidence over the adjacent area of Lake Urmia, Iran
Ali Radman, Mehdi Akhoondzadeh, Benyamin Hosseiny
GIScience & Remote Sensing (2021) Vol. 58, Iss. 8, pp. 1413-1433
Open Access | Times Cited: 40

Showing 1-25 of 40 citing articles:

Advancing railway track health monitoring: Integrating GPR, InSAR and machine learning for enhanced asset management
Mehdi Koohmishi, Sakdirat Kaewunruen, Ling Chang, et al.
Automation in Construction (2024) Vol. 162, pp. 105378-105378
Open Access | Times Cited: 30
Review of satellite radar interferometry for subsidence analysis
Federico Raspini, Francesco Caleca, Matteo Del Soldato, et al.
Earth-Science Reviews (2022) Vol. 235, pp. 104239-104239
Open Access | Times Cited: 58
Monitoring and Predictive Analysis of Surface Deformation Using Combined SBAS-InSAR Technology and CS-Elman Neural Network: A Case Study of Wenchuan County, Sichuan Province, China
Kuayue Chen, Baoyun Wang
Photogrammetric Engineering & Remote Sensing (2025) Vol. 91, Iss. 1, pp. 53-63
Closed Access | Times Cited: 1
Reservoir water level decline accelerates ground subsidence: InSAR monitoring and machine learning prediction of surface deformation in the Three Gorges Reservoir area
Jinzhong Yang, Pinglang Kou, Dong Xu, et al.
Frontiers in Earth Science (2025) Vol. 12
Open Access | Times Cited: 1
Deep Learning for Automatic Detection of Volcanic and Earthquake-Related InSAR Deformation
Xu Liu, Yingfeng Zhang, Xinjian Shan, et al.
Remote Sensing (2025) Vol. 17, Iss. 4, pp. 686-686
Open Access | Times Cited: 1
Land subsidence prediction in Zhengzhou's main urban area using the GTWR and LSTM models combined with the Attention Mechanism
Yonghao Yuan, Dujuan Zhang, Jian Cui, et al.
The Science of The Total Environment (2023) Vol. 907, pp. 167482-167482
Closed Access | Times Cited: 14
Enhancing groundwater level prediction accuracy using interpolation techniques in deep learning models
Erfan Abdi, Mumtaz Ali, Celso Augusto Guimarães Santos, et al.
Groundwater for Sustainable Development (2024) Vol. 26, pp. 101213-101213
Closed Access | Times Cited: 6
Evaluation of Isfahan City Subsidence Rate Using InSAR and Artificial Intelligence
Omid Memarian Sorkhabi, Ali Sadeghy Nejad, Mohammad Khajehzadeh
KSCE Journal of Civil Engineering (2022) Vol. 26, Iss. 6, pp. 2901-2908
Closed Access | Times Cited: 22
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: 11
InSAR time series and LSTM model to support early warning detection tools of ground instabilities: mining site case studies
S. Mohammad Mirmazloumi, Yismaw Wassie, Lorenzo Nava, et al.
Bulletin of Engineering Geology and the Environment (2023) Vol. 82, Iss. 10
Open Access | Times Cited: 11
Potential Landslide Identification Based on Improved YOLOv8 and InSAR Phase-Gradient Stacking
Yanrong Mao, Ruiqing Niu, Bingquan Li, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2024) Vol. 17, pp. 10367-10376
Open Access | Times Cited: 4
A novel machine learning and deep learning semi-supervised approach for automatic detection of InSAR-based deformation hotspots
Ashutosh Tiwari, Manoochehr Shirzaei
International Journal of Applied Earth Observation and Geoinformation (2023) Vol. 126, pp. 103611-103611
Open Access | Times Cited: 10
Prediction of old goaf residual subsidence integrating EDS-InSAR with EsLSTM in the Loess Plateau, China
Fei Ma, Qingbin Zhang, Lichun Sui
Frontiers in Earth Science (2025) Vol. 12
Open Access
A novel approach for permafrost deformation prediction by integrating insar and multi-factor permafrost deformation LSTM (MPD-LSTM)
Zhengjia Zhang, Yao Wu, Jing Guo, et al.
International Journal of Remote Sensing (2025), pp. 1-23
Closed Access
Deep Learning-Enhanced Insar for Spatiotemporal Groundwater Monitoring at Persepolis and Naqsh-E Rostam UNESCO Sites
Peyman Heidarian, Franz Pablo Antezana Lopez, Yumin Tan, et al.
(2025)
Closed Access
Long-Term Subsidence Assessment by LiCSBAS and Emerging Hot Spot Analysis in Kathmandu Valley
Sunil Rawal, Guoquan Wang
Land (2025) Vol. 14, Iss. 4, pp. 700-700
Open Access
Trend Change Point Detection in InSAR Derived Displacement Time Series Using MALkCNN: A Deep Learning Approach
Seyed Arya Fakhri, Mehran Satari
PFG – Journal of Photogrammetry Remote Sensing and Geoinformation Science (2025)
Closed Access
Predicting Short-Term Deformation in the Central Valley Using Machine Learning
Joe Yazbeck, John B. Rundle
Remote Sensing (2023) Vol. 15, Iss. 2, pp. 449-449
Open Access | Times Cited: 7
Supervised Machine Learning Algorithms for Ground Motion Time Series Classification from InSAR Data
S. Mohammad Mirmazloumi, Ángel Fernández Gambı́n, Riccardo Palamà, et al.
Remote Sensing (2022) Vol. 14, Iss. 15, pp. 3821-3821
Open Access | Times Cited: 11
Fast multi-output relevance vector regression for joint groundwater and lake water depth modeling
Mir Jafar Sadegh Safari, Shervin Rahimzadeh Arashloo, Babak Vaheddoost
Environmental Modelling & Software (2022) Vol. 154, pp. 105425-105425
Closed Access | Times Cited: 9
Application of Machine Learning in Forecasting the Impact of Mining Deformation: A Case Study of Underground Copper Mines in Poland
Konrad Cieślik, Wojciech Milczarek
Remote Sensing (2022) Vol. 14, Iss. 19, pp. 4755-4755
Open Access | Times Cited: 8
Optimization of Targeted Differential Interferometric Measurements for Wellpads Detected by Mask Region-Based Convolutional Neural Network in the Tengiz Oilfield of the Caspian Sea Coast
Emil Bayramov, Giulia Tessari, Saida Aliyeva, et al.
Remote Sensing (2024) Vol. 16, Iss. 3, pp. 579-579
Open Access | Times Cited: 1
INSAR DEFORMATION TIME SERIES CLASSIFICATION USING A CONVOLUTIONAL NEURAL NETWORK
S. Mohammad Mirmazloumi, Ángel Fernández Gambı́n, Yismaw Wassie, et al.
˜The œinternational archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences (2022) Vol. XLIII-B3-2022, pp. 307-312
Open Access | Times Cited: 5
Evaluating expressway stability using interferometric synthetic aperture radar and measuring its impact on the occurrence of geohazards: a case study of Shanxi Province, China
Shunyao Wang, Guo Zhang, Zhenwei Chen, et al.
GIScience & Remote Sensing (2022) Vol. 60, Iss. 1
Open Access | Times Cited: 4
Optimization of Reservoir Level Scheduling Based on InSAR-LSTM Deformation Prediction Model for Rockfill Dams
Zhigang Zak Fang, Rong He, Haiyang Yu, et al.
Water (2023) Vol. 15, Iss. 19, pp. 3384-3384
Open Access | Times Cited: 2
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