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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:

Slope stability prediction using ensemble learning techniques: A case study in Yunyang County, Chongqing, China
Wengang Zhang, Hongrui Li, Liang Han, et al.
Journal of Rock Mechanics and Geotechnical Engineering (2022) Vol. 14, Iss. 4, pp. 1089-1099
Open Access | Times Cited: 176

Showing 1-25 of 176 citing articles:

Landslide susceptibility prediction using slope unit-based machine learning models considering the heterogeneity of conditioning factors
Zhilu Chang, Filippo Catani, Faming Huang, et al.
Journal of Rock Mechanics and Geotechnical Engineering (2022) Vol. 15, Iss. 5, pp. 1127-1143
Open Access | Times Cited: 118
Displacement prediction of Jiuxianping landslide using gated recurrent unit (GRU) networks
Wengang Zhang, Hongrui Li, Libin Tang, et al.
Acta Geotechnica (2022) Vol. 17, Iss. 4, pp. 1367-1382
Closed Access | Times Cited: 113
Landslide Susceptibility Mapping Using Machine Learning: A Literature Survey
Moziihrii Ado, Khwairakpam Amitab, Arnab Kumar Maji, et al.
Remote Sensing (2022) Vol. 14, Iss. 13, pp. 3029-3029
Open Access | Times Cited: 103
Efficient time-variant reliability analysis of Bazimen landslide in the Three Gorges Reservoir Area using XGBoost and LightGBM algorithms
Wengang Zhang, Chongzhi Wu, Libin Tang, et al.
Gondwana Research (2022) Vol. 123, pp. 41-53
Closed Access | Times Cited: 93
Spatial flood susceptibility mapping using an explainable artificial intelligence (XAI) model
Biswajeet Pradhan, Saro Lee, Abhirup Dikshit, et al.
Geoscience Frontiers (2023) Vol. 14, Iss. 6, pp. 101625-101625
Open Access | Times Cited: 93
A novel method using explainable artificial intelligence (XAI)-based Shapley Additive Explanations for spatial landslide prediction using Time-Series SAR dataset
Husam A. H. Al-Najjar, Biswajeet Pradhan, Ghassan Beydoun, et al.
Gondwana Research (2022) Vol. 123, pp. 107-124
Closed Access | Times Cited: 91
Assessment of landslide susceptibility along mountain highways based on different machine learning algorithms and mapping units by hybrid factors screening and sample optimization
Deliang Sun, Qingyu Gu, Haijia Wen, et al.
Gondwana Research (2022) Vol. 123, pp. 89-106
Closed Access | Times Cited: 87
Advanced hyperparameter optimization for improved spatial prediction of shallow landslides using extreme gradient boosting (XGBoost)
Taşkın Kavzoǧlu, Alihan Teke
Bulletin of Engineering Geology and the Environment (2022) Vol. 81, Iss. 5
Closed Access | Times Cited: 80
Closed-Form Equation for Estimating Unconfined Compressive Strength of Granite from Three Non-destructive Tests Using Soft Computing Models
Athanasia D. Skentou, Abidhan Bardhan, Anna Mamou, et al.
Rock Mechanics and Rock Engineering (2022) Vol. 56, Iss. 1, pp. 487-514
Open Access | Times Cited: 77
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: 75
Deep learning methods for time-dependent reliability analysis of reservoir slopes in spatially variable soils
Lin Wang, Chongzhi Wu, Zhiyong Yang, et al.
Computers and Geotechnics (2023) Vol. 159, pp. 105413-105413
Closed Access | Times Cited: 71
Machine-learning based landslide susceptibility modelling with emphasis on uncertainty analysis
A.L. Achu, C. D. Aju, Mariano Di Napoli, et al.
Geoscience Frontiers (2023) Vol. 14, Iss. 6, pp. 101657-101657
Open Access | Times Cited: 52
Refined and dynamic susceptibility assessment of landslides using InSAR and machine learning models
Yingdong Wei, Haijun Qiu, Zijing Liu, et al.
Geoscience Frontiers (2024) Vol. 15, Iss. 6, pp. 101890-101890
Open Access | Times Cited: 37
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: 25
Enhancing landslide susceptibility mapping incorporating landslide typology via stacking ensemble machine learning in Three Gorges Reservoir, China
Lanbing Yu, Yang Wang, Biswajeet Pradhan
Geoscience Frontiers (2024) Vol. 15, Iss. 4, pp. 101802-101802
Open Access | Times Cited: 21
A systematic review and meta-analysis of artificial neural network, machine learning, deep learning, and ensemble learning approaches in field of geotechnical engineering
Elaheh Yaghoubi, Elnaz Yaghoubi, Ahmed A. Khamees, et al.
Neural Computing and Applications (2024) Vol. 36, Iss. 21, pp. 12655-12699
Open Access | Times Cited: 19
Landslide susceptibility zonation using the analytical hierarchy process (AHP) in the Great Xi’an Region, China
Xiaokang Liu, Shuai Shao, Shengjun Shao
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 16
Application of hybrid machine learning algorithm in multi-objective optimization of green building energy efficiency
Yi Zhu, Wen Xu, Wenhong Luo, et al.
Energy (2025), pp. 133581-133581
Closed Access | Times Cited: 4
Prediction of the resilient modulus of compacted subgrade soils using ensemble machine learning methods
Navid Kardani, Mohammad Aminpour, Muhammad Nouman Amjad Raja, et al.
Transportation Geotechnics (2022) Vol. 36, pp. 100827-100827
Closed Access | Times Cited: 60
Multivariate adaptive regression splines analysis for 3D slope stability in anisotropic and heterogenous clay
Jim Shiau, Van Qui Lai, Suraparb Keawsawasvong
Journal of Rock Mechanics and Geotechnical Engineering (2022) Vol. 15, Iss. 4, pp. 1052-1064
Open Access | Times Cited: 56
A new index for cutter life evaluation and ensemble model for prediction of cutter wear
Nan Zhang, Shui‐Long Shen, Annan Zhou
Tunnelling and Underground Space Technology (2022) Vol. 131, pp. 104830-104830
Closed Access | Times Cited: 50
Predicting triaxial compressive strength of high-temperature treated rock using machine learning techniques
Xunjian Hu, Junjie Shentu, Ni Xie, et al.
Journal of Rock Mechanics and Geotechnical Engineering (2022) Vol. 15, Iss. 8, pp. 2072-2082
Open Access | Times Cited: 50
Probabilistic slope stability analysis of Heavy-haul freight corridor using a hybrid machine learning paradigm
Abidhan Bardhan, Pijush Samui
Transportation Geotechnics (2022) Vol. 37, pp. 100815-100815
Closed Access | Times Cited: 44
Predicting and validating the load-settlement behavior of large-scale geosynthetic-reinforced soil abutments using hybrid intelligent modeling
Muhammad Nouman Amjad Raja, Syed Taseer Abbas Jaffar, Abidhan Bardhan, et al.
Journal of Rock Mechanics and Geotechnical Engineering (2022) Vol. 15, Iss. 3, pp. 773-788
Open Access | Times Cited: 42
Transfer learning improves landslide susceptibility assessment
Haojie Wang, Lin Wang, Limin Zhang
Gondwana Research (2022) Vol. 123, pp. 238-254
Closed Access | Times Cited: 42
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