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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 CNN-1D and 2D deep learning algorithms: comparison of their performance at Asir Region, KSA
Ahmed M. Youssef, Biswajeet Pradhan, Abhirup Dikshit, et al.
Bulletin of Engineering Geology and the Environment (2022) Vol. 81, Iss. 4
Closed Access | Times Cited: 67

Showing 1-25 of 67 citing articles:

Multi-hazard susceptibility mapping based on Convolutional Neural Networks
Kashif Ullah, Yi Wang, Zhice Fang, et al.
Geoscience Frontiers (2022) Vol. 13, Iss. 5, pp. 101425-101425
Open Access | Times Cited: 91
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: 24
Assessing the imperative of conditioning factor grading in machine learning-based landslide susceptibility modeling: A critical inquiry
Taorui Zeng, Bijing Jin, Thomas Glade, et al.
CATENA (2023) Vol. 236, pp. 107732-107732
Closed Access | Times Cited: 41
A Multi-Criteria Decision Analysis (MCDA) Approach for Landslide Susceptibility Mapping of a Part of Darjeeling District in North-East Himalaya, India
Abhik Saha, Vasanta Govind Kumar Villuri, Ashutosh Bhardwaj, et al.
Applied Sciences (2023) Vol. 13, Iss. 8, pp. 5062-5062
Open Access | Times Cited: 25
Modeling landslide susceptibility based on convolutional neural network coupling with metaheuristic optimization algorithms
Zhuo Chen, Danqing Song
International Journal of Digital Earth (2023) Vol. 16, Iss. 1, pp. 3384-3416
Open Access | Times Cited: 24
Landslide Susceptibility Mapping Considering Landslide Local-Global Features Based on CNN and Transformer
Zeyang Zhao, Tao Chen, Jie Dou, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2024) Vol. 17, pp. 7475-7489
Open Access | Times Cited: 13
Performance evaluation of convolutional neural network and vision transformer models for groundwater potential mapping
Behnam Sadeghi, Ali Asghar Alesheikh, Ali Jafari, et al.
Journal of Hydrology (2025), pp. 132840-132840
Closed Access | Times Cited: 1
Landslide susceptibility mapping using automatically constructed CNN architectures with pre-slide topographic DEM of deep-seated catastrophic landslides caused by Typhoon Talas
Teruyuki Kikuchi, Koki Sakita, Satoshi Nishiyama, et al.
Natural Hazards (2023) Vol. 117, Iss. 1, pp. 339-364
Open Access | Times Cited: 21
Applying a 1D Convolutional Neural Network in Flood Susceptibility Assessments—The Case of the Island of Euboea, Greece
Paraskevas Tsangaratos, Ioanna Ilia, Aikaterini-Alexandra Chrysafi, et al.
Remote Sensing (2023) Vol. 15, Iss. 14, pp. 3471-3471
Open Access | Times Cited: 20
Development and assessment of a novel hybrid machine learning-based landslide susceptibility mapping model in the Darjeeling Himalayas
Abhik Saha, Vasanta Govind Kumar Villuri, Ashutosh Bhardwaj
Stochastic Environmental Research and Risk Assessment (2023)
Closed Access | Times Cited: 19
Regional landslide susceptibility assessment based on improved semi-supervised clustering and deep learning
Yuhang Jiang, Wei Wang, Lifang Zou, et al.
Acta Geotechnica (2023) Vol. 19, Iss. 1, pp. 509-529
Closed Access | Times Cited: 17
Creation of Wildfire Susceptibility Maps in Plumas National Forest Using InSAR Coherence, Deep Learning, and Metaheuristic Optimization Approaches
Arip Syaripudin Nur, Yong Je Kim, Chang-Wook Lee
Remote Sensing (2022) Vol. 14, Iss. 17, pp. 4416-4416
Open Access | Times Cited: 23
Evaluation of deep learning algorithms for landslide susceptibility mapping in an alpine-gorge area: a case study in Jiuzhaigou County
Di Wang, Ronghao Yang, Xiao Wang, et al.
Journal of Mountain Science (2023) Vol. 20, Iss. 2, pp. 484-500
Closed Access | Times Cited: 16
KNN-GCN: A Deep Learning Approach for Slope-Unit-Based Landslide Susceptibility Mapping Incorporating Spatial Correlations
Ding Xia, Huiming Tang, Thomas Glade, et al.
Mathematical Geosciences (2024) Vol. 56, Iss. 5, pp. 1011-1039
Closed Access | Times Cited: 6
Debris flow susceptibility mapping in alpine canyon region: a case study of Nujiang Prefecture
Yimin Li, Wenxue Jiang, Xianjie Feng, et al.
Bulletin of Engineering Geology and the Environment (2024) Vol. 83, Iss. 5
Closed Access | Times Cited: 6
Comparative landslide susceptibility assessment using information value and frequency ratio bivariate statistical methods: a case study from Northwestern Himalayas, Jammu and Kashmir, India
Imran Khan, Ashutosh Kainthola, Harish Bahuguna, et al.
Arabian Journal of Geosciences (2024) Vol. 17, Iss. 8
Closed Access | Times Cited: 5
A novel data-driven hybrid intelligent prediction model for reservoir landslide displacement
Dezhi Zai, Rui Pang, Bin Xu, et al.
Bulletin of Engineering Geology and the Environment (2024) Vol. 83, Iss. 12
Closed Access | Times Cited: 5
Landslide susceptibility mapping based on CNN-3D algorithm with attention module embedded
Zhiqiang Yang, Chong Xu, Xiaoyi Shao, et al.
Bulletin of Engineering Geology and the Environment (2022) Vol. 81, Iss. 10
Closed Access | Times Cited: 20
A Combination of Deep Autoencoder and Multi-Scale Residual Network for Landslide Susceptibility Evaluation
Zhuolu Wang, Shenghua Xu, Jiping Liu, et al.
Remote Sensing (2023) Vol. 15, Iss. 3, pp. 653-653
Open Access | Times Cited: 13
Applying Convolutional Neural Network to Predict Soil Erosion: A Case Study of Coastal Areas
Chao Liu, Han Li, Jiuzhe Xu, et al.
International Journal of Environmental Research and Public Health (2023) Vol. 20, Iss. 3, pp. 2513-2513
Open Access | Times Cited: 13
Improving landslide prediction by computer vision and deep learning
Byron Guerrero-Rodríguez, Jose Garcia-Rodriguez, Jaime Salvador–Meneses, et al.
Integrated Computer-Aided Engineering (2023) Vol. 31, Iss. 1, pp. 77-94
Closed Access | Times Cited: 12
Mudslide susceptibility assessment based on a two-channel residual network
Ruohao Yuan, Yumeng Luo, Fanshu Xu, et al.
Geomatics Natural Hazards and Risk (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 4
Slope Stability Prediction Using Principal Component Analysis and Hybrid Machine Learning Approaches
Daxing Lei, Yaoping Zhang, Zhigang Lu, et al.
Applied Sciences (2024) Vol. 14, Iss. 15, pp. 6526-6526
Open Access | Times Cited: 4
Evaluating the uncertainty in landslide susceptibility prediction: effect of spatial data variability and evaluation unit choices
Shengwu Qin, Jiasheng Cao, Jingyu Yao, et al.
Bulletin of Engineering Geology and the Environment (2025) Vol. 84, Iss. 3
Closed Access
Artificial intelligence and machine learning-powered GIS for proactive disaster resilience in a changing climate
Justin Diehr, Ayorinde Ogunyiola, Oluwabunmi Dada
Annals of GIS (2025), pp. 1-14
Open Access
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