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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 Feature Fusion-Based CPCNN-ML in Lantau Island, Hong Kong
Yangyang Chen, Dongping Ming, Ling Xiao, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2021) Vol. 14, pp. 3625-3639
Open Access | Times Cited: 49

Showing 1-25 of 49 citing articles:

Operational earthquake-induced building damage assessment using CNN-based direct remote sensing change detection on superpixel level
Yuanzhao Qing, Dongping Ming, Qi Wen, et al.
International Journal of Applied Earth Observation and Geoinformation (2022) Vol. 112, pp. 102899-102899
Open Access | Times Cited: 67
Combining spatial response features and machine learning classifiers for landslide susceptibility mapping
Ruilong Wei, Chengming Ye, Tianbo Sui, et al.
International Journal of Applied Earth Observation and Geoinformation (2022) Vol. 107, pp. 102681-102681
Open Access | Times Cited: 55
Landslide Susceptibility Model Using Artificial Neural Network (ANN) Approach in Langat River Basin, Selangor, Malaysia
Siti Norsakinah Selamat, Nuriah Abd Majid, Mohd Raihan Taha, et al.
Land (2022) Vol. 11, Iss. 6, pp. 833-833
Open Access | Times Cited: 42
ShapeFormer: A Shape-Enhanced Vision Transformer Model for Optical Remote Sensing Image Landslide Detection
Pengyuan Lv, Lusha Ma, Qiaomin Li, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2023) Vol. 16, pp. 2681-2689
Open Access | Times Cited: 32
Machine learning based landslide susceptibility mapping models and GB-SAR based landslide deformation monitoring systems: Growth and evolution
Babitha Ganesh, Shweta Vincent, Sameena Pathan, et al.
Remote Sensing Applications Society and Environment (2023) Vol. 29, pp. 100905-100905
Closed Access | Times Cited: 26
Employing Remote Sensing, Data Communication Networks, AI, and Optimization Methodologies in Seismology
Mohamed S. Abdalzaher, Hussein A. Elsayed, Mostafa M. Fouda
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2022) Vol. 15, pp. 9417-9438
Open Access | Times Cited: 31
Seismic Landslide Susceptibility Assessment Using Newmark Displacement Based on a Dual-Channel Convolutional Neural Network
Yan Li, Dongping Ming, Liang Zhang, et al.
Remote Sensing (2024) Vol. 16, Iss. 3, pp. 566-566
Open Access | Times Cited: 8
Emerging technologies and supporting tools for earthquake disaster management: A perspective, challenges, and future directions
Mohamed S. Abdalzaher, Moez Krichen, Francisco Falcone
Progress in Disaster Science (2024) Vol. 23, pp. 100347-100347
Open Access | Times Cited: 7
Incorporating Landslide Spatial Information and Correlated Features among Conditioning Factors for Landslide Susceptibility Mapping
Xin Yang, Rui Liu, Mei Yang, et al.
Remote Sensing (2021) Vol. 13, Iss. 11, pp. 2166-2166
Open Access | Times Cited: 37
Application of convolutional neural network fused with machine learning modeling framework for geospatial comparative analysis of landslide susceptibility
Zemin Gao, Mingtao Ding
Natural Hazards (2022) Vol. 113, Iss. 2, pp. 833-858
Closed Access | Times Cited: 26
Incorporating the Completeness and Difficulty of Proposals Into Weakly Supervised Object Detection in Remote Sensing Images
Xiaoliang Qian, Yu Huo, Gong Cheng, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2022) Vol. 15, pp. 1902-1911
Open Access | Times Cited: 24
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
Integration of GIS and Machine Learning Techniques for Mapping the Landslide-Prone Areas in the State of Goa, India
Babitha Ganesh, Shweta Vincent, Sameena Pathan, et al.
Journal of the Indian Society of Remote Sensing (2023) Vol. 51, Iss. 7, pp. 1479-1491
Open Access | Times Cited: 13
Landslide Susceptibility Prediction Based on Positive Unlabeled Learning Coupled With Adaptive Sampling
Zhice Fang, Yi Wang, Ruiqing Niu, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2021) Vol. 14, pp. 11581-11592
Open Access | Times Cited: 24
Susceptibility-Guided Landslide Detection Using Fully Convolutional Neural Network
Yangyang Chen, Dongping Ming, Junchuan Yu, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2022) Vol. 16, pp. 998-1018
Open Access | Times Cited: 17
Pixel-Wise Feature Fusion in Gully Susceptibility: A Comparison of Feed-Forward Neural Networks and Ensemble (Voting, Stacking) Models
Vincent E. Nwazelibe, Johnson C. Agbasi, Daniel A. Ayejoto, et al.
Journal of African Earth Sciences (2025), pp. 105633-105633
Open Access
A new framework for landslide susceptibility mapping in contiguous impoverished areas using machine learning and catastrophe theory
Wei Zhou, Yingzhi Zhou, Shuneng Liang, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Landslide susceptibility assessment using lightweight dense residual network with emphasis on deep spatial features
Shenghua Xu, Zhuolu Wang, Jiping Liu, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Landslide Susceptibility Mapping Using Ant Colony Optimization Strategy and Deep Belief Network in Jiuzhaigou Region
Yibing Xiong, Yi Zhou, Futao Wang, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2021) Vol. 14, pp. 11042-11057
Open Access | Times Cited: 23
Landslide Susceptibility Mapping by Fusing Convolutional Neural Networks and Vision Transformer
Shuai Bao, Jiping Liu, Liang Wang, et al.
Sensors (2022) Vol. 23, Iss. 1, pp. 88-88
Open Access | Times Cited: 12
Landslide hazard analysis based on SBAS-InSAR and MCE-CNN model: a case study of Kongtong, Pingliang
Yi Zhang, Yangyang Chen, Dongping Ming, et al.
Geocarto International (2022) Vol. 38, Iss. 1, pp. 1-22
Open Access | Times Cited: 11
Landslide susceptibility mapping with feature fusion transformer and machine learning classifiers incorporating displacement velocity along Karakoram highway
Yulong Zhou, Muhammad Afaq Hussain, Zhanlong Chen
Geocarto International (2023) Vol. 38, Iss. 1
Open Access | Times Cited: 6
A cross-spatial network based on efficient multi-scale attention for landslide recognition
Xu Zhang, Liangzhi Li, Ling Han
Landslides (2024) Vol. 21, Iss. 12, pp. 2913-2925
Closed Access | Times Cited: 2
Feature Engineering of Geohazard Susceptibility Analysis Based on the Random Forest Algorithm: Taking Tianshui City, Gansu Province, as an Example
Ling Xiao, Yueqin Zhu, Dongping Ming, et al.
Remote Sensing (2022) Vol. 14, Iss. 22, pp. 5658-5658
Open Access | Times Cited: 10
Application of Transformer Models to Landslide Susceptibility Mapping
Shuai Bao, Jiping Liu, Liang Wang, et al.
Sensors (2022) Vol. 22, Iss. 23, pp. 9104-9104
Open Access | Times Cited: 10
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