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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:

Unsupervised Feature Learning to Improve Transferability of Landslide Susceptibility Representations
Qing Zhu, Li Chen, Han Hu, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2020) Vol. 13, pp. 3917-3930
Open Access | Times Cited: 51

Showing 1-25 of 51 citing articles:

A New Deep-Learning-Based Approach for Earthquake-Triggered Landslide Detection From Single-Temporal RapidEye Satellite Imagery
Yaning Yi, Wanchang Zhang
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2020) Vol. 13, pp. 6166-6176
Open Access | Times Cited: 102
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: 28
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: 10
Landslide Mapping Using Two Main Deep-Learning Convolution Neural Network Streams Combined by the Dempster–Shafer Model
Omid Ghorbanzadeh, Sansar Raj Meena, Hejar Shahabi, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2020) Vol. 14, pp. 452-463
Open Access | Times Cited: 56
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
Investigations of disaster information representation from a geospatial perspective: Progress, challenges and recommendations
Weilian Li, Jun Zhu, Saied Pirasteh, et al.
Transactions in GIS (2022) Vol. 26, Iss. 3, pp. 1376-1398
Closed Access | Times Cited: 34
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
Landslide susceptibility assessment in multiple urban slope settings with a landslide inventory augmented by InSAR techniques
Li Chen, Peifeng Ma, Chang Yeon Yu, et al.
Engineering Geology (2023) Vol. 327, pp. 107342-107342
Closed Access | Times Cited: 22
Application of convolutional neural networks based on Bayesian optimization to landslide susceptibility mapping of transmission tower foundation
Mansheng Lin, Shuai Teng, Gongfa Chen, et al.
Bulletin of Engineering Geology and the Environment (2023) Vol. 82, Iss. 2
Open Access | Times Cited: 17
Landslide susceptibility mapping using physics-guided machine learning: a case study of a debris flow event in Colorado Front Range
Te Pei, Tong Qiu
Acta Geotechnica (2024) Vol. 19, Iss. 10, pp. 6617-6641
Closed Access | Times Cited: 8
Optimization method of conditioning factors selection and combination for landslide susceptibility prediction
Faming Huang, K Y Liu, Shui‐Hua Jiang, et al.
Journal of Rock Mechanics and Geotechnical Engineering (2024)
Open Access | Times Cited: 8
Precipitation nowcasting using transformer-based generative models and transfer learning for improved disaster preparedness
Md. Jalil Piran, Xiaoding Wang, Ho-Jun Kim, et al.
International Journal of Applied Earth Observation and Geoinformation (2024) Vol. 132, pp. 103962-103962
Open Access | Times Cited: 7
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
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
Cascaded Residual Attention Enhanced Road Extraction from Remote Sensing Images
Shengfu Li, Cheng Liao, Yulin Ding, et al.
ISPRS International Journal of Geo-Information (2021) Vol. 11, Iss. 1, pp. 9-9
Open Access | Times Cited: 39
The performance quality of LR, SVM, and RF for earthquake-induced landslides susceptibility mapping incorporating remote sensing imagery
Rui Liu, Luyao Li, Saied Pirasteh, et al.
Arabian Journal of Geosciences (2021) Vol. 14, Iss. 4
Closed Access | Times Cited: 38
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
Joint Learning of Contour and Structure for Boundary-Preserved Building Extraction
Cheng Liao, Han Hu, Haifeng Li, et al.
Remote Sensing (2021) Vol. 13, Iss. 6, pp. 1049-1049
Open Access | Times Cited: 36
Monitoring of Maskun landslide and determining its quantitative relationship to different climatic conditions using D-InSAR and PSI techniques
Mohsen Pourkhosravani, Ali Mehrabi, Saied Pirasteh, et al.
Geomatics Natural Hazards and Risk (2022) Vol. 13, Iss. 1, pp. 1134-1153
Open Access | Times Cited: 26
Graph neural networks with constraints of environmental consistency for landslide susceptibility evaluation
Haowei Zeng, Qing Zhu, Yulin Ding, et al.
International Journal of Geographical Information Science (2022) Vol. 36, Iss. 11, pp. 2270-2295
Closed Access | Times Cited: 24
A Monitoring Method Integrating Terrestrial Laser Scanning and Unmanned Aerial Vehicles for Different Landslide Deformation Patterns
Nan Jiang, Haibo Li, Yu-xiang Hu, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2021) Vol. 14, pp. 10242-10255
Open Access | Times Cited: 30
Meta-learning an intermediate representation for few-shot prediction of landslide susceptibility in large areas
Li Chen, Yulin Ding, Saied Pirasteh, et al.
International Journal of Applied Earth Observation and Geoinformation (2022) Vol. 110, pp. 102807-102807
Open Access | Times Cited: 21
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
An improved spatial case-based reasoning considering multiple spatial drivers of geographic events and its application in landslide susceptibility mapping
Zheng Zhao, Jianhua Chen, Jiaming Yao, et al.
CATENA (2023) Vol. 223, pp. 106940-106940
Closed Access | Times Cited: 11
Transfer Learning with Attributes for Improving the Landslide Spatial Prediction Performance in Sample-Scarce Area Based on Variational Autoencoder Generative Adversarial Network
Mansheng Lin, Shuai Teng, Gongfa Chen, et al.
Land (2023) Vol. 12, Iss. 3, pp. 525-525
Open Access | Times Cited: 10
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