Open Access Helper

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:

A comparative study of different neural network models for landslide susceptibility mapping
Zhan'ao Zhao, Yi He, Sheng Yao, et al.
Advances in Space Research (2022) Vol. 70, Iss. 2, pp. 383-401
Closed Access | Times Cited: 28

Showing 1-25 of 28 citing articles:

A novel swarm intelligence: cuckoo optimization algorithm (COA) and SailFish optimizer (SFO) in landslide susceptibility assessment
Rana Muhammad Adnan Ikram, Atefeh Ahmadi Dehrashid, Binqiao Zhang, et al.
Stochastic Environmental Research and Risk Assessment (2023) Vol. 37, Iss. 5, pp. 1717-1743
Closed Access | Times Cited: 44
Optimizing landslide susceptibility mapping using machine learning and geospatial techniques
Gazali Agboola, Leila Hashemi-Beni, Tamer Elbayoumi, et al.
Ecological Informatics (2024) Vol. 81, pp. 102583-102583
Open Access | Times Cited: 25
An Improved Faster R-CNN Method for Landslide Detection in Remote Sensing Images
Han Qin, Jizhou Wang, Xi Mao, et al.
Journal of Geovisualization and Spatial Analysis (2023) Vol. 8, Iss. 1
Closed Access | Times Cited: 34
An integrated neural network method for landslide susceptibility assessment based on time-series InSAR deformation dynamic features
Yi He, Zhan’ao Zhao, Qing Zhu, et al.
International Journal of Digital Earth (2023) Vol. 17, Iss. 1
Open Access | Times Cited: 26
Landslide Susceptibility Assessment Using the Analytic Hierarchy Process (AHP): A Case Study of a Construction Site for Photovoltaic Power Generation in Yunxian County, Southwest China
Jinxuan Zhou, Shucheng Tan, Jun Li, et al.
Sustainability (2023) Vol. 15, Iss. 6, pp. 5281-5281
Open Access | Times Cited: 24
Landslide Risk Evaluation in Shenzhen Based on Stacking Ensemble Learning and InSAR
Binghai Gao, Yi He, Xueye Chen, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2023) Vol. 16, pp. 1-18
Open Access | Times Cited: 24
Thaw Slump Susceptibility Mapping Based on Sample Optimization and Ensemble Learning Techniques in Qinghai-Tibet Railway Corridor
Yi He, Tianbao Huo, Binghai Gao, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2024) Vol. 17, pp. 5443-5459
Open Access | Times Cited: 8
A landslide susceptibility assessment method considering the similarity of geographic environments based on graph neural network
Qing Zhang, Yi He, Lifeng Zhang, et al.
Gondwana Research (2024) Vol. 132, pp. 323-342
Closed Access | Times Cited: 7
Ensemble learning landslide susceptibility assessment with optimized non-landslide samples selection
Jiangang Lu, Yi He, Lifeng Zhang, et al.
Geomatics Natural Hazards and Risk (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 7
A Deep Neural Network Framework for Landslide Susceptibility Mapping by Considering Time-Series Rainfall
Binghai Gao, Yi He, Xueye Chen, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2024) Vol. 17, pp. 5946-5969
Open Access | Times Cited: 5
Optimized Landslide Susceptibility Mapping and Modelling Using the SBAS-InSAR Coupling Model
Xueling Wu, Xiaoshuai Qi, Bo Peng, et al.
Remote Sensing (2024) Vol. 16, Iss. 16, pp. 2873-2873
Open Access | Times Cited: 5
An ensemble deep-learning framework for landslide susceptibility assessment using multiple blocks: a case study of Wenchuan area, China
Yange Li, Jiaming Yang, Zheng Han, et al.
Geomatics Natural Hazards and Risk (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 12
LSTM time series NDVI prediction method incorporating climate elements: A case study of Yellow River Basin, China
Yan Guo, Lifeng Zhang, Yi He, et al.
Journal of Hydrology (2023) Vol. 629, pp. 130518-130518
Closed Access | Times Cited: 12
A hybrid approach combining physics-based model with extreme value analysis for temporal probability of rainfall-triggered landslide
Ho-Hong-Duy Nguyen, Ananta Man Singh Pradhan, Chang-Ho Song, et al.
Landslides (2024)
Closed Access | Times Cited: 4
Mapping of the susceptibility of China‒Russia Crude Oil Pipelines to water damage in permafrost regions in Northeast China
Wenhui Wang, Huijun Jin, Xiaoying Jin, et al.
Advances in Climate Change Research (2025)
Open Access
A Multi-Input Channel U-Net Landslide Detection Method Fusing SAR Multisource Remote Sensing Data
Hesheng Chen, Yi He, Lifeng Zhang, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2023) Vol. 17, pp. 1215-1232
Open Access | Times Cited: 10
Evaluation of Mass Movement Hazard in the Shoreline of the Intertidal Complex of El Grove (Pontevedra, Galicia)
Joaquín Andrés Valencia Ortiz, Carlos E. Nieto, Antonio Miguel Martínez Graña
Remote Sensing (2024) Vol. 16, Iss. 13, pp. 2478-2478
Open Access | Times Cited: 2
A Graph–Transformer Method for Landslide Susceptibility Mapping
Zhang Qing, Yi He, Yalei Zhang, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2024) Vol. 17, pp. 14556-14574
Open Access | Times Cited: 2
A Novel Strategy Coupling Optimised Sampling with Heterogeneous Ensemble Machine-Learning to Predict Landslide Susceptibility
Yongxing Lu, Honggen Xu, Can Wang, et al.
Remote Sensing (2024) Vol. 16, Iss. 19, pp. 3663-3663
Open Access | Times Cited: 1
Landslide risk assessment in mining areas using hybrid machine learning methods under fuzzy environment
Dong Liang, Jin Zhang, Yongguo Zhang, et al.
Ecological Indicators (2024) Vol. 167, pp. 112736-112736
Open Access | Times Cited: 1
Landslide susceptibility mapping based on the coupling of two correlation methods and the BP neural network model: A case study of the Baihetan Reservoir area, China
Zhenghai Xue, Wenkai Feng, Botao Li, et al.
Frontiers in Environmental Science (2022) Vol. 10
Open Access | Times Cited: 4
An Ensemble Broad Learning System (BLS) for Evaluating Landslide Susceptibility in Taiyuan City, Northern China
Dekang Zhao, Peiyuan Ren, Guorui Feng, et al.
Applied Sciences (2023) Vol. 13, Iss. 14, pp. 8409-8409
Open Access | Times Cited: 2
Landslide Susceptibility Prediction System
Kuldeep Vayadande, Siddharth Sadake, Siddhi Sangwai, et al.
Research Square (Research Square) (2024)
Open Access
Machine learning-based landslide velocity prediction model: incorporating multi- expression programming and discrete element modeling
Hasnain Gardezi, Xingyue Li, Yü Huang
Research Square (Research Square) (2024)
Closed Access
A Comparison of Alternative GIS Data Model Methods for Landslide Susceptibility Mapping with XGBoost and SHAP
Şevket Bediroğlu
Karadeniz Fen Bilimleri Dergisi (2024) Vol. 14, Iss. 3, pp. 1204-1224
Open Access
Page 1 - Next Page

Scroll to top