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:

Comparison of Machine Learning Methods for Potential Active Landslide Hazards Identification with Multi-Source Data
Xiangxiang Zheng, Guojin He, Shanshan Wang, et al.
ISPRS International Journal of Geo-Information (2021) Vol. 10, Iss. 4, pp. 253-253
Open Access | Times Cited: 35

Showing 1-25 of 35 citing articles:

Landslide susceptibility evaluation integrating weight of evidence model and InSAR results, west of Hubei Province, China
Guo Zhang, Shunyao Wang, Zhenwei Chen, et al.
The Egyptian Journal of Remote Sensing and Space Science (2023) Vol. 26, Iss. 1, pp. 95-106
Open Access | Times Cited: 30

机器学习在滑坡智能防灾减灾中的应用与发展趋势
Jie Dou, Zilin Xiang, Qiang Xu, et al.
Earth Science-Journal of China University of Geosciences (2023) Vol. 48, Iss. 5, pp. 1657-1657
Open Access | Times Cited: 25

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: 25

Application of Artificial Intelligence and Remote Sensing for Landslide Detection and Prediction: Systematic Review
Stephen Akosah, Ivan Gratchev, Donghyun Kim, et al.
Remote Sensing (2024) Vol. 16, Iss. 16, pp. 2947-2947
Open Access | Times Cited: 9

Deep Learning-Based Landslide Recognition Incorporating Deformation Characteristics
Zhihai Li, Anchi Shi, Xinran Li, et al.
Remote Sensing (2024) Vol. 16, Iss. 6, pp. 992-992
Open Access | Times Cited: 8

Analysis of landslide explicative factors and susceptibility mapping in an andean context: The case of Azuay province (Ecuador)
Sandra Lucía Cobos Mora, Víctor Rodríguez‐Galiano, Aracely Lima
Heliyon (2023) Vol. 9, Iss. 9, pp. e20170-e20170
Open Access | Times Cited: 14

Landslide Hazard Assessment for Wanzhou Considering the Correlation of Rainfall and Surface Deformation
Xiangjie She, Deying Li, Shuo Yang, et al.
Remote Sensing (2024) Vol. 16, Iss. 9, pp. 1587-1587
Open Access | Times Cited: 6

Identification of Landslide Precursors for Early Warning of Hazards with Remote Sensing
Katarzyna Strząbała, Paweł Ćwiąkała, Edyta Puniach
Remote Sensing (2024) Vol. 16, Iss. 15, pp. 2781-2781
Open Access | Times Cited: 5

Study on Early Identification of Rainfall-Induced Accumulation Landslide Hazards in the Three Gorges Reservoir Area
Zhen Wu, Runqing Ye, Shishi Yang, et al.
Remote Sensing (2024) Vol. 16, Iss. 10, pp. 1669-1669
Open Access | Times Cited: 4

A multi-source remote sensing satellite view of the February 22nd Xinjing landslide in the mining area of Alxa left Banner, China
Bei An, Changcheng Wang, Chen Liu, et al.
Landslides (2023) Vol. 20, Iss. 11, pp. 2517-2523
Closed Access | Times Cited: 10

Optimizing landslide susceptibility mapping using integrated forest by penalizing attributes model with ensemble algorithms
Wei Chen, Chao Wang, Xia Zhao, et al.
Earth Science Informatics (2025) Vol. 18, Iss. 2
Closed Access

Mathematical model for approximating shield tunneling-induced surface settlement via multi-gene genetic programming
Zhi-Liang Cheng, K. K. Pabodha M. Kannangara, Lijun Su, et al.
Acta Geotechnica (2023) Vol. 18, Iss. 9, pp. 4923-4940
Closed Access | Times Cited: 8

Susceptibility Analysis of Geohazards in the Longmen Mountain Region after the Wenchuan Earthquake
Shuai Li, Zhongyun Ni, Yinbing Zhao, et al.
International Journal of Environmental Research and Public Health (2022) Vol. 19, Iss. 6, pp. 3229-3229
Open Access | Times Cited: 12

Supervised Machine Learning Algorithms for Ground Motion Time Series Classification from InSAR Data
S. Mohammad Mirmazloumi, Ángel Fernández Gambı́n, Riccardo Palamà, et al.
Remote Sensing (2022) Vol. 14, Iss. 15, pp. 3821-3821
Open Access | Times Cited: 12

An Adaptive Identification Method for Potential Landslide Hazards Based on Multisource Data
Wenping Yin, Chong Niu, Yongqing Bai, et al.
Remote Sensing (2023) Vol. 15, Iss. 7, pp. 1865-1865
Open Access | Times Cited: 7

Multi-Window Identification of Landslide Hazards Based on InSAR Technology and Factors Predisposing to Disasters
Chong Niu, Wenping Yin, Wei Xue, et al.
Land (2023) Vol. 12, Iss. 1, pp. 173-173
Open Access | Times Cited: 6

Machine learning with a susceptibility index-based sampling strategy for landslide susceptibility assessment
Leilei Liu, Yili Zhang, Shaohe Zhang, et al.
Geocarto International (2022) Vol. 37, Iss. 27, pp. 15683-15713
Closed Access | Times Cited: 8

Time-Series InSAR Deformation Monitoring of High Fill Characteristic Canal of South–North Water Diversion Project in China
Hui Liu, Wenfei Zhao, Zhen Qin, et al.
Applied Sciences (2023) Vol. 13, Iss. 11, pp. 6415-6415
Open Access | Times Cited: 3

Dual Path Attention Network (DPANet) for Intelligent Identification of Wenchuan Landslides
Xiao Wang, Di Wang, Tiegang Sun, et al.
Remote Sensing (2023) Vol. 15, Iss. 21, pp. 5213-5213
Open Access | Times Cited: 1

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