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 assessment using weights-of-evidence model and cluster analysis along the highways in the Hubei section of the Three Gorges Reservoir Area
Linfei Chen, Haixiang Guo, Peisong Gong, et al.
Computers & Geosciences (2021) Vol. 156, pp. 104899-104899
Closed Access | Times Cited: 56

Showing 1-25 of 56 citing articles:

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

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

Automated Machine Learning-Based Landslide Susceptibility Mapping for the Three Gorges Reservoir Area, China
Junwei Ma, Dongze Lei, Zhiyuan Ren, et al.
Mathematical Geosciences (2023) Vol. 56, Iss. 5, pp. 975-1010
Closed Access | Times Cited: 36

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

Advanced machine learning techniques for enhanced landslide susceptibility mapping: Integrating geotechnical parameters in the case of Southwestern Cyprus
Ploutarchos Tzampoglou, Dimitrios Loukidis, Aristodemos Anastasiades, et al.
Earth Science Informatics (2025) Vol. 18, Iss. 2
Open Access | Times Cited: 1

Comparison of Tree-Structured Parzen Estimator Optimization in Three Typical Neural Network Models for Landslide Susceptibility Assessment
Guangzhi Rong, Kaiwei Li, Yulin Su, et al.
Remote Sensing (2021) Vol. 13, Iss. 22, pp. 4694-4694
Open Access | Times Cited: 47

Population amount risk assessment of extreme precipitation-induced landslides based on integrated machine learning model and scenario simulation
Guangzhi Rong, Kaiwei Li, Zhijun Tong, et al.
Geoscience Frontiers (2023) Vol. 14, Iss. 3, pp. 101541-101541
Open Access | Times Cited: 16

An integrated approach based landslide susceptibility mapping: case of Muzaffarabad region, Pakistan
Mubeen ul Basharat, Junaid Ali Khan, Hazem Ghassan Abdo, et al.
Geomatics Natural Hazards and Risk (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 11

Data-Driven Landslide Spatial Prediction and Deformation Monitoring: A Case Study of Shiyan City, China
Yifan Sheng, Guangli Xu, Bijing Jin, et al.
Remote Sensing (2023) Vol. 15, Iss. 21, pp. 5256-5256
Open Access | Times Cited: 11

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

Research on the distribution law of geohazards along the highways in the Western sichuan plateau gradient zone
Chaofei Li, Tianbin Li, Fengbo Lan, et al.
Frontiers in Earth Science (2025) Vol. 13
Open Access

Landslide hazard zonation using advanced machine learning algorithms based on statistical models (Case study: Sarvabad, Iran)
Himan Rastkhadiv, Baharak Motamedvaziri, Seyed Hamed Javadi, et al.
Earth Science Informatics (2025) Vol. 18, Iss. 2
Closed Access

Landslide Susceptibility Mapping Based on Multitemporal Remote Sensing Image Change Detection and Multiexponential Band Math
Xianyu Yu, Yang Xia, Jianguo Zhou, et al.
Sustainability (2023) Vol. 15, Iss. 3, pp. 2226-2226
Open Access | Times Cited: 9

Remote sensing and optimized neural networks for landslide risk assessment: Paving the way for mitigating Afghanistan landslide damage
Ming Chang, Xiangyang Dou, Fenghuan Su, et al.
Ecological Indicators (2023) Vol. 156, pp. 111179-111179
Open Access | Times Cited: 9

Integrating data-driven and physically based landslide susceptibility methods using matrix models to predict reservoir landslides
Zhenghai Xue, Wenkai Feng, Xiaoyu Yi, et al.
Advances in Space Research (2023) Vol. 73, Iss. 3, pp. 1702-1720
Closed Access | Times Cited: 8

Performance and application of a novel drainage anti-slide pile on accumulation landslide with a chair-like deposit-bedrock interface in the Three Gorges Reservoir area, China
Shilin Luo, Da Huang, Jianbing Peng, et al.
Computers and Geotechnics (2022) Vol. 155, pp. 105199-105199
Closed Access | Times Cited: 12

Analysis of Optimal Buffer Distance for Linear Hazard Factors in Landslide Susceptibility Prediction
Fang Lü, Qian Wang, Jianping Yue, et al.
Sustainability (2023) Vol. 15, Iss. 13, pp. 10180-10180
Open Access | Times Cited: 5

Evaluation and analysis of statistical and coupling models for highway landslide susceptibility
Huadan Fan, Yuefeng Lu, Shiwei Shao, et al.
Geomatics Natural Hazards and Risk (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 5

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