OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Landslide displacement prediction based on Variational mode decomposition and MIC-GWO-LSTM model
Taorui Zeng, Jiang Hong-wei, Qingli Liu, et al.
Stochastic Environmental Research and Risk Assessment (2022) Vol. 36, Iss. 5, pp. 1353-1372
Closed Access | Times Cited: 38

Showing 1-25 of 38 citing articles:

Advanced integration of ensemble learning and MT-InSAR for enhanced slow-moving landslide susceptibility zoning
Taorui Zeng, Liyang Wu, Yuichi S. Hayakawa, et al.
Engineering Geology (2024) Vol. 331, pp. 107436-107436
Closed Access | Times Cited: 29

Assessing the imperative of conditioning factor grading in machine learning-based landslide susceptibility modeling: A critical inquiry
Taorui Zeng, Bijing Jin, Thomas Glade, et al.
CATENA (2023) Vol. 236, pp. 107732-107732
Closed Access | Times Cited: 41

CBR Prediction of Pavement Materials in Unsoaked Condition Using LSSVM, LSTM-RNN, and ANN Approaches
Jitendra Khatti, Kamaldeep Singh Grover
International Journal of Pavement Research and Technology (2023) Vol. 17, Iss. 3, pp. 750-786
Closed Access | Times Cited: 36

Tempo-Spatial Landslide Susceptibility Assessment from the Perspective of Human Engineering Activity
Taorui Zeng, Zizheng Guo, Linfeng Wang, et al.
Remote Sensing (2023) Vol. 15, Iss. 16, pp. 4111-4111
Open Access | Times Cited: 29

Deep learning powered long-term warning systems for reservoir landslides
Taorui Zeng, Thomas Glade, Yangyi Xie, et al.
International Journal of Disaster Risk Reduction (2023) Vol. 94, pp. 103820-103820
Closed Access | Times Cited: 27

Toward the reliable prediction of reservoir landslide displacement using earthworm optimization algorithm-optimized support vector regression (EOA-SVR)
Zhiyang Liu, Junwei Ma, Ding Xia, et al.
Natural Hazards (2023) Vol. 120, Iss. 4, pp. 3165-3188
Closed Access | Times Cited: 25

Dynamic landslide susceptibility mapping based on the PS-InSAR deformation intensity
Bijing Jin, Taorui Zeng, Kunlong Yin, et al.
Environmental Science and Pollution Research (2024) Vol. 31, Iss. 5, pp. 7872-7888
Open Access | Times Cited: 11

Application of artificial intelligence in three aspects of landslide risk assessment: A comprehensive review
Rongjie He, Wengang Zhang, Jie Dou, et al.
Rock Mechanics Bulletin (2024) Vol. 3, Iss. 4, pp. 100144-100144
Open Access | Times Cited: 10

Quantitative risk assessment of the Shilongmen reservoir landslide in the Three Gorges area of China
Taorui Zeng, Kunlong Yin, Lei Gui, et al.
Bulletin of Engineering Geology and the Environment (2023) Vol. 82, Iss. 6
Closed Access | Times Cited: 21

Double-index rainfall warning and probabilistic physically based model for fast-moving landslide hazard analysis in subtropical-typhoon area
Taorui Zeng, Quanbing Gong, Liyang Wu, et al.
Landslides (2023) Vol. 21, Iss. 4, pp. 753-773
Closed Access | Times Cited: 17

Landslide spatial prediction using cluster analysis
Zheng Zhao, Hengxing Lan, Langping Li, et al.
Gondwana Research (2024) Vol. 130, pp. 291-307
Closed Access | Times Cited: 8

Research on SSA-LSTM-Based Slope Monitoring and Early Warning Model
Shasha Yang, Anjie Jin, Wen Nie, et al.
Sustainability (2022) Vol. 14, Iss. 16, pp. 10246-10246
Open Access | Times Cited: 27

Susceptibility Analysis of Land Subsidence along the Transmission Line in the Salt Lake Area Based on Remote Sensing Interpretation
Bijing Jin, Kunlong Yin, Qiuyang Li, et al.
Remote Sensing (2022) Vol. 14, Iss. 13, pp. 3229-3229
Open Access | Times Cited: 26

Deformation prediction of large-scale civil structures using spatiotemporal clustering and empirical mode decomposition-based long short-term memory network
Jiazeng Shan, Xi Zhang, Yuwen Liu, et al.
Automation in Construction (2023) Vol. 158, pp. 105222-105222
Closed Access | Times Cited: 16

A data‐driven intelligent model for landslide displacement prediction
Qi Ge, Hongyue Sun, Zhongqiang Liu, et al.
Geological Journal (2023) Vol. 58, Iss. 6, pp. 2211-2230
Closed Access | Times Cited: 14

Landslide displacement prediction based on time series and long short-term memory networks
Anjie Jin, Shasha Yang, Huang Xu-Ri
Bulletin of Engineering Geology and the Environment (2024) Vol. 83, Iss. 7
Closed Access | Times Cited: 6

Landslide Displacement Prediction during the Sliding Process Using XGBoost, SVR and RNNs
Jiancong Xu, Yu Jiang, Chengbin Yang
Applied Sciences (2022) Vol. 12, Iss. 12, pp. 6056-6056
Open Access | Times Cited: 23

Dynamic stability assessment of reservoir colluvial landslide using a hypoplastic clay constitutive model considering the effects of drying-wetting cycles on the hydro-fluctuation belt
Yang Xue, Fasheng Miao, Yiping Wu, et al.
Engineering Geology (2022) Vol. 307, pp. 106791-106791
Closed Access | Times Cited: 22

Dynamic prediction of landslide life expectancy using ensemble system incorporating classical prediction models and machine learning
Leilei Liu, Hao-Dong Yin, Ting Xiao, et al.
Geoscience Frontiers (2023) Vol. 15, Iss. 2, pp. 101758-101758
Open Access | Times Cited: 11

Advancing seismic landslide susceptibility modeling: a comparative evaluation of deep learning models through particle swarm optimization
Lizhou Zhang, Taorui Zeng, Linfeng Wang, et al.
Earth Science Informatics (2024)
Closed Access | Times Cited: 3

Multi-criteria analysis and geospatial applications-based mapping flood vulnerable areas: a case study from the eastern Mediterranean
Hazem Ghassan Abdo, Taorui Zeng, Mohammed J. Alshayeb, et al.
Natural Hazards (2024)
Closed Access | Times Cited: 3

Analyzing the Performance of Univariate and Multivariate Machine Learning Models in Soil Movement Prediction: A Comparative Study
Praveen Kumar, P. Priyanka, J. Dhanya, et al.
IEEE Access (2023) Vol. 11, pp. 62368-62381
Open Access | Times Cited: 8

Page 1 - Next Page

Scroll to top