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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 susceptibility mapping using an ensemble model of Bagging scheme and random subspace–based naïve Bayes tree in Zigui County of the Three Gorges Reservoir Area, China
Xudong Hu, Cheng Huang, Hongbo Mei, et al.
Bulletin of Engineering Geology and the Environment (2021) Vol. 80, Iss. 7, pp. 5315-5329
Closed Access | Times Cited: 43

Showing 1-25 of 43 citing articles:

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: 109
A physics-informed data-driven model for landslide susceptibility assessment in the Three Gorges Reservoir area
Songlin Liu, Luqi Wang, Wengang Zhang, et al.
Geoscience Frontiers (2023) Vol. 14, Iss. 5, pp. 101621-101621
Open Access | Times Cited: 70
Enhancing flood susceptibility modeling using multi-temporal SAR images, CHIRPS data, and hybrid machine learning algorithms
Mostafa Riazi, Khabat Khosravi, Kaka Shahedi, et al.
The Science of The Total Environment (2023) Vol. 871, pp. 162066-162066
Closed Access | Times Cited: 51
机器学习在滑坡智能防灾减灾中的应用与发展趋势
Jie Dou, Zilin Xiang, Qiang Xu, et al.
Earth Science-Journal of China University of Geosciences (2023) Vol. 48, Iss. 5, pp. 1657-1657
Open Access | Times Cited: 25
Geographically weighted neural network considering spatial heterogeneity for landslide susceptibility mapping: A case study of Yichang City, China
Zhongguo Zhao, Zhangyan Xu, Chuli Hu, et al.
CATENA (2023) Vol. 234, pp. 107590-107590
Open Access | Times Cited: 23
Application and interpretability of ensemble learning for landslide susceptibility mapping along the Three Gorges Reservoir area, China
Bo Liu, Haixiang Guo, Jinling Li, et al.
Natural Hazards (2024) Vol. 120, Iss. 5, pp. 4601-4632
Closed Access | Times Cited: 15
Landslide susceptibility, ensemble machine learning, and accuracy methods in the southern Sinai Peninsula, Egypt: Assessment and Mapping
Ahmed M. Youssef, Bosy A. El‐Haddad, Hariklia D. Skilodimou, et al.
Natural Hazards (2024)
Closed Access | Times Cited: 15
Hybrid river stage forecasting based on machine learning with empirical mode decomposition
Salim Heddam, Dinesh Kumar Vishwakarma, Salwan Ali Abed, et al.
Applied Water Science (2024) Vol. 14, Iss. 3
Open Access | Times Cited: 13
Landslide Susceptibility Mapping Based on the Germinal Center Optimization Algorithm and Support Vector Classification
Ding Xia, Huiming Tang, Sixuan Sun, et al.
Remote Sensing (2022) Vol. 14, Iss. 11, pp. 2707-2707
Open Access | Times Cited: 35
Spatial Prediction of Landslide Susceptibility Using Logistic Regression (LR), Functional Trees (FTs), and Random Subspace Functional Trees (RSFTs) for Pengyang County, China
Hui Shang, Lixiang Su, Wei Chen, et al.
Remote Sensing (2023) Vol. 15, Iss. 20, pp. 4952-4952
Open Access | Times Cited: 16
A comparative study of heterogeneous and homogeneous ensemble approaches for landslide susceptibility assessment in the Djebahia region, Algeria
Zakaria Matougui, Lynda Djerbal, Ramdane Bahar
Environmental Science and Pollution Research (2023) Vol. 31, Iss. 28, pp. 40554-40580
Closed Access | Times Cited: 14
An Attribution Deep Learning Interpretation Model for Landslide Susceptibility Mapping in the Three Gorges Reservoir Area
Cheng Chen, Lei Fan
IEEE Transactions on Geoscience and Remote Sensing (2023) Vol. 61, pp. 1-15
Closed Access | Times Cited: 13
A novel landslide susceptibility prediction framework based on contrastive loss
Shubing Ouyang, Weitao Chen, Hangyuan Liu, et al.
GIScience & Remote Sensing (2024) Vol. 61, Iss. 1
Open Access | Times Cited: 4
An ensemble approach of bi-variate statistical models with soft-computing techniques for GIS-based landslide susceptibility zonation in the Kalimpong region of Darjeeling Himalaya, India
Suvam Das, Shantanu Sarkar, Debi Prasanna Kanungo
Environment Development and Sustainability (2024)
Closed Access | Times Cited: 4
Improving the forecast performance of landslide susceptibility mapping by using ensemble gradient boosting algorithms
Hang Ha, Quynh Duy Bui, D. T. Tran, et al.
Environment Development and Sustainability (2024)
Closed Access | Times Cited: 4
Shear strain prediction of reservoir landslide based on FBG monitoring and bagging-MLP algorithm
Jia Wang, Hong‐Hu Zhu, 孝 河野, et al.
Bulletin of Engineering Geology and the Environment (2025) Vol. 84, Iss. 2
Closed Access
Comparative study on landslide susceptibility assessment of different models: a case study of alpine mountainous region in Xinjiang
Jiabing Zhang, Chun Zhu, Liangfu Xie, et al.
Bulletin of Engineering Geology and the Environment (2025) Vol. 84, Iss. 2
Closed Access
Predicting chemical influence on soil water retention curves with models established based on pore structure evolution of compacted clay
Pu-Huai Lu, Yong He, Zhao Zhang, et al.
Computers and Geotechnics (2021) Vol. 138, pp. 104360-104360
Closed Access | Times Cited: 22
Spatial landslide susceptibility modelling using metaheuristic-based machine learning algorithms
Ilyas Ahmad Huqqani, Lea Tien Tay, Junita Mohamad–Saleh
Engineering With Computers (2022) Vol. 39, Iss. 1, pp. 867-891
Closed Access | Times Cited: 16
Groundwater spring potential prediction using a deep-learning algorithm
Solmaz Khazaei Moughani, Abdol-Baset Osmani, Ebrahim Nohani, et al.
Acta Geophysica (2023) Vol. 72, Iss. 2, pp. 1033-1054
Closed Access | Times Cited: 9
A closer look into variables controlling hillslope deformations in the Three Gorges Reservoir Area
Hongwei Sang, Ling Chang, Chuanjie Xi, et al.
Engineering Geology (2024) Vol. 337, pp. 107584-107584
Closed Access | Times Cited: 3
Modeling landslide susceptibility using alternating decision tree and support vector
Zhuo Chen, Junfeng Tang, Danqing Song
Terrestrial Atmospheric and Oceanic Sciences (2024) Vol. 35, Iss. 1
Open Access | Times Cited: 3
Utilizing deep learning approach to develop landslide susceptibility mapping considering landslide types
Yue Wang, Chao Zhou, Ying Cao, et al.
Bulletin of Engineering Geology and the Environment (2024) Vol. 83, Iss. 11
Closed Access | Times Cited: 3
Landslide susceptibility prediction mapping with advanced ensemble models: Son La province, Vietnam
Quynh Duy Bui, Hang Ha, Dong Thanh Khuc, et al.
Natural Hazards (2022)
Open Access | Times Cited: 14
Landslide susceptibility zonation around Dharamshala, Himachal Pradesh, India: an artificial intelligence model–based assessment
Kumari Sweta, Ajanta Goswami, Bipin Peethambaran, et al.
Bulletin of Engineering Geology and the Environment (2022) Vol. 81, Iss. 8
Closed Access | Times Cited: 12
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