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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:

Constructing a Large-Scale Urban Land Subsidence Prediction Method Based on Neural Network Algorithm from the Perspective of Multiple Factors
Dingyi Zhou, Xiaoqing Zuo, Zhifang Zhao
Remote Sensing (2022) Vol. 14, Iss. 8, pp. 1803-1803
Open Access | Times Cited: 29

Showing 1-25 of 29 citing articles:

Prediction of Mine Subsidence Based on InSAR Technology and the LSTM Algorithm: A Case Study of the Shigouyi Coalfield, Ningxia (China)
Fei Ma, Lichun Sui, Wei Lian
Remote Sensing (2023) Vol. 15, Iss. 11, pp. 2755-2755
Open Access | Times Cited: 20
Characterization and prediction of InSAR-derived ground motion with ICA-assisted LSTM model
Mimi Peng, Mahdi Motagh, Zhong Lu, et al.
Remote Sensing of Environment (2023) Vol. 301, pp. 113923-113923
Closed Access | Times Cited: 18
Comparative Study-Based Data-Driven Models for Lithium-Ion Battery State-of-Charge Estimation
Hossam Hussein, Mustafa Esoofally, Abhishek Donekal, et al.
Batteries (2024) Vol. 10, Iss. 3, pp. 89-89
Open Access | Times Cited: 7
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: 7
Large-Scale Land Subsidence Monitoring and Prediction Based on SBAS-InSAR Technology with Time-Series Sentinel-1A Satellite Data
Hengliang Guo, Yonghao Yuan, Jinyang Wang, et al.
Remote Sensing (2023) Vol. 15, Iss. 11, pp. 2843-2843
Open Access | Times Cited: 11
The Monitoring and Analysis of Land Subsidence in Kunming (China) Supported by Time Series InSAR
Bo Xiao, Junsan Zhao, Dongsheng Li, et al.
Sustainability (2022) Vol. 14, Iss. 19, pp. 12387-12387
Open Access | Times Cited: 16
Combined SBAS-InSAR and PSO-RF Algorithm for Evaluating the Susceptibility Prediction of Landslide in Complex Mountainous Area: A Case Study of Ludian County, China
Bo Xiao, Junsan Zhao, Dongsheng Li, et al.
Sensors (2022) Vol. 22, Iss. 20, pp. 8041-8041
Open Access | Times Cited: 16
New method for landslide susceptibility evaluation in alpine valley regions that considers the suitability of InSAR monitoring and introduces deformation rate grading
Dingyi Zhou, Zhifang Zhao, Wenfei Xi, et al.
Geo-spatial Information Science (2024), pp. 1-24
Open Access | Times Cited: 3
A hybrid machine learning model for sentiment analysis and satisfaction assessment with Turkish universities using Twitter data
Abdulfattah E. Ba Alawi, Ferhat Bozkurt
Decision Analytics Journal (2024) Vol. 11, pp. 100473-100473
Open Access | Times Cited: 3
Deep learning-based methods in structural reliability analysis: a review
Sajad Saraygord Afshari, Chuan Zhao, Xinchen Zhuang, et al.
Measurement Science and Technology (2023) Vol. 34, Iss. 7, pp. 072001-072001
Open Access | Times Cited: 8
Investigation on the deformation mechanism of the full-section tunnel excavation in the complex geological environment based on the PSO-BP neural network
Li Xin, Chao Jia, Xiao Zhu, et al.
Environmental Earth Sciences (2023) Vol. 82, Iss. 13
Closed Access | Times Cited: 8
Leveraging GNSS tropospheric products for machine learning-based land subsidence prediction
Melika Tasan, Zahrasadat Ghorbaninasab, Saeid Haji-Aghajany, et al.
Earth Science Informatics (2023) Vol. 16, Iss. 4, pp. 3039-3056
Open Access | Times Cited: 8
Land subsidence analysis along high-speed railway based on EEMD-Prophet method
Dongwei Qiu, Tong Yuci, Yuzheng Wang, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 2
The suitability assessment for land territorial spatial planning based on ANN-CA model and the Internet of Things
Zhaoliang Nie
Heliyon (2024) Vol. 10, Iss. 10, pp. e31237-e31237
Open Access | Times Cited: 2
Urbanization and land subsidence: multi-decadal investigation combined SBAS-InSAR and multi-factors in Shanghai, China
Luwen Tan, Yuxin Xie, Chaomin Chen, et al.
Geocarto International (2024) Vol. 39, Iss. 1
Open Access | Times Cited: 2
Development and Comparison of InSAR-Based Land Subsidence Prediction Models
Lianjing Zheng, Wang Qing, Chen Cao, et al.
Remote Sensing (2024) Vol. 16, Iss. 17, pp. 3345-3345
Open Access | Times Cited: 2
Integrating Machine Learning with Sensor Technology for Multiphase Flow Measurement: A Review
Minghan Bao, Mi Wang, Kang Li, et al.
IEEE Sensors Journal (2024) Vol. 24, Iss. 19, pp. 29603-29618
Closed Access | Times Cited: 1
A Multifactor-Based Random Forest Regression Model to Reconstruct a Continuous Deformation Map in Xi’an, China
Xinxin Guo, Chaoying Zhao, Guang-Rong Li, et al.
Remote Sensing (2023) Vol. 15, Iss. 19, pp. 4795-4795
Open 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
Enhancement of land subsidence prediction capabilities using machine learning and SHAP value analysis with Sentinel-1 InSAR Data
Heng Su, Tingting Xu, Xiancai Xion, et al.
Research Square (Research Square) (2024)
Open Access
A cosine adaptive particle swarm optimization based long-short term memory method for urban green area prediction
Hao Tian, Hao Yuan, Ke Yan, et al.
PeerJ Computer Science (2024) Vol. 10, pp. e2048-e2048
Open Access
Spatio-Temporal Heterogeneous Ensemble Learning Method for Predicting Land Subsidence
Bin Zhao, Gusheng Wu, Junjie Li, et al.
Applied Sciences (2024) Vol. 14, Iss. 18, pp. 8330-8330
Open Access
Land Subsidence Predictions Based on a Multi-Component Temporal Convolutional Gated Recurrent Unit Model in Kunming City
Tao Chen, Donghong Ning, Yuhang Liu
Applied Sciences (2024) Vol. 14, Iss. 21, pp. 10021-10021
Open Access
Wind Power Forecasting Using Grey Wolf Optimized Long Short-Term Memory Based on Numerical Weather Prediction
M. A. El-Dosuky, Reema Alowaydan, Bashayer Alqarni
Journal of Power and Energy Engineering (2024) Vol. 12, Iss. 12, pp. 1-16
Open Access
Research on Land Subsidence Prediction in Mining Areas Based on SBAS-InSAR and Multi-Model Comparison
Qingkun Yang, Peihua Xu, Chen Cao, et al.
Journal of Research in Science and Engineering (2024) Vol. 6, Iss. 12, pp. 63-71
Open Access
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