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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:

Landslide Displacement Prediction Based on Variational Mode Decomposition and MIC-GWO-LSTM Model
Taorui Zeng, Jiang Hong-wei, Qingli Liu, et al.
Research Square (Research Square) (2021)
Closed Access | Times Cited: 18

Showing 18 citing articles:

Application of an enhanced BP neural network model with water cycle algorithm on landslide prediction
Yonggang Zhang, Jun Tang, Rao-ping Liao, et al.
Stochastic Environmental Research and Risk Assessment (2020) Vol. 35, Iss. 6, pp. 1273-1291
Closed Access | Times Cited: 165
Spatial prediction of landslide susceptibility using hybrid support vector regression (SVR) and the adaptive neuro-fuzzy inference system (ANFIS) with various metaheuristic algorithms
Mahdi Panahi, Amiya Gayen, Hamid Reza Pourghasemi, et al.
The Science of The Total Environment (2020) Vol. 741, pp. 139937-139937
Closed Access | Times Cited: 155
Ensemble learning framework for landslide susceptibility mapping: Different basic classifier and ensemble strategy
Taorui Zeng, Liyang Wu, Dario Peduto, et al.
Geoscience Frontiers (2023) Vol. 14, Iss. 6, pp. 101645-101645
Open Access | Times Cited: 76
Prediction model oriented for landslide displacement with step-like curve by applying ensemble empirical mode decomposition and the PSO-ELM method
Han Du, Danqing Song, Zhuo Chen, et al.
Journal of Cleaner Production (2020) Vol. 270, pp. 122248-122248
Closed Access | Times Cited: 111
Evolution characteristics and displacement forecasting model of landslides with stair-step sliding surface along the Xiangxi River, three Gorges Reservoir region, China
Changdong Li, Robert E. Criss, Zhiyong Fu, et al.
Engineering Geology (2021) Vol. 283, pp. 105961-105961
Closed Access | Times Cited: 73
Landslide displacement prediction using kinematics-based random forests method: A case study in Jinping Reservoir Area, China
Xinli Hu, Shuangshuang Wu, Guangcheng Zhang, et al.
Engineering Geology (2020) Vol. 283, pp. 105975-105975
Closed Access | Times Cited: 67
Research on displacement prediction of step-type landslide under the influence of various environmental factors based on intelligent WCA-ELM in the Three Gorges Reservoir area
Yonggang Zhang, Xinquan Chen, Rao-ping Liao, et al.
Natural Hazards (2021) Vol. 107, Iss. 2, pp. 1709-1729
Closed Access | Times Cited: 42
Large-Scale Landslide Susceptibility Mapping Using an Integrated Machine Learning Model: A Case Study in the Lvliang Mountains of China
Yin Xing, Jianping Yue, Zizheng Guo, et al.
Frontiers in Earth Science (2021) Vol. 9
Open Access | Times Cited: 36
Displacement prediction of step-like landslides based on feature optimization and VMD-Bi-LSTM: a case study of the Bazimen and Baishuihe landslides in the Three Gorges, China
Ke Zhang, Kai Zhang, Chenxi Cai, et al.
Bulletin of Engineering Geology and the Environment (2021) Vol. 80, Iss. 11, pp. 8481-8502
Closed Access | Times Cited: 35
Groundwater level prediction based on a combined intelligence method for the Sifangbei landslide in the Three Gorges Reservoir Area
Taorui Zeng, Kunlong Yin, Jiang Hong-wei, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 27
Prediction of landslide displacement with step-like curve using variational mode decomposition and periodic neural network
Qi Liu, Guangyin Lu, Jie Dong
Bulletin of Engineering Geology and the Environment (2021) Vol. 80, Iss. 5, pp. 3783-3799
Closed Access | Times Cited: 29
Modelling and predicting landslide displacements and uncertainties by multiple machine-learning algorithms: application to Baishuihe landslide in Three Gorges Reservoir, China
Yanan Jiang, Qiang Xu, Zhong Lu, et al.
Geomatics Natural Hazards and Risk (2021) Vol. 12, Iss. 1, pp. 741-762
Open Access | Times Cited: 27
Landslide prediction based on improved principal component analysis and mixed kernel function least squares support vector regression model
Limin Li, Shaokang Cheng, Zong-zhou Wen
Journal of Mountain Science (2021) Vol. 18, Iss. 8, pp. 2130-2142
Closed Access | Times Cited: 23
A new method for displacement prediction of “step-like” landslides based on VMD-FOA-SVR model
Xuesong Lu, Fasheng Miao, Xiaoxu Xie, et al.
Environmental Earth Sciences (2021) Vol. 80, Iss. 17
Closed Access | Times Cited: 21
Prediction interval estimation of landslide displacement using adaptive chicken swarm optimization-tuned support vector machines
Yin Xing, Jianping Yue, Chuang Chen, et al.
Applied Intelligence (2021) Vol. 51, Iss. 11, pp. 8466-8483
Closed Access | Times Cited: 16
Reliability of the prediction model for landslide displacement with step-like behavior
Zhiyong Fu, Jingjing Long, Wenqiang Chen, et al.
Stochastic Environmental Research and Risk Assessment (2021) Vol. 35, Iss. 11, pp. 2335-2353
Closed Access | Times Cited: 10
Optimization Algorithms and Applications
Wengang Zhang, Yanmei Zhang, Xin Gu, et al.
Springer eBooks (2021), pp. 47-71
Closed Access | Times Cited: 1
Landslide displacement prediction based on Variational Mode Decomposition and Temporal Convolutional Network
Chunying Xu, Kaibin Huang, Xinjie Wu, et al.
Research Square (Research Square) (2022)
Open Access
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