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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:

Evaluating GIS-Based Multiple Statistical Models and Data Mining for Earthquake and Rainfall-Induced Landslide Susceptibility Using the LiDAR DEM
Jie Dou, Ali P. Yunus, Dieu Tien Bui, et al.
Remote Sensing (2019) Vol. 11, Iss. 6, pp. 638-638
Open Access | Times Cited: 147

Showing 26-50 of 147 citing articles:

Assessment and zoning of seismic landslide hazards in Sichuan, China, using a SCM-ANFIS model under different ground motion
Jie Wang, Chong Xu, Zhuojuan Xie, et al.
Bulletin of Engineering Geology and the Environment (2025) Vol. 84, Iss. 4
Closed Access | Times Cited: 1
Flood Hazard Mapping Using the Flood and Flash-Flood Potential Index in the Buzău River Catchment, Romania
Mihnea Cristian Popa, Daniel Peptenatu, Cristian-Constantin Drăghici, et al.
Water (2019) Vol. 11, Iss. 10, pp. 2116-2116
Open Access | Times Cited: 74
A novel artificial intelligence technique for analyzing slope stability using PSO-CA model
Zhenyan Luo, Xuan-Nam Bui, Hoang Nguyen, et al.
Engineering With Computers (2019) Vol. 37, Iss. 1, pp. 533-544
Closed Access | Times Cited: 69
Adaptive Network Based Fuzzy Inference System with Meta-Heuristic Optimizations for International Roughness Index Prediction
Hoang-Long Nguyen, Binh Thai Pham, Lê Hoàng Sơn, et al.
Applied Sciences (2019) Vol. 9, Iss. 21, pp. 4715-4715
Open Access | Times Cited: 69
Development of a Novel Hybrid Intelligence Approach for Landslide Spatial Prediction
Phong Tung Nguyen, Tran Thi Tuyen, Ataollah Shirzadi, et al.
Applied Sciences (2019) Vol. 9, Iss. 14, pp. 2824-2824
Open Access | Times Cited: 66
Earthquake Vulnerability Mapping Using Different Hybrid Models
Peyman Yariyan, Mohammadtaghi Avand, Fariba Soltani, et al.
Symmetry (2020) Vol. 12, Iss. 3, pp. 405-405
Open Access | Times Cited: 65
Torrential rainfall-triggered shallow landslide characteristics and susceptibility assessment using ensemble data-driven models in the Dongjiang Reservoir Watershed, China
Jie Dou, Ali P. Yunus, Yueren Xu, et al.
Natural Hazards (2019) Vol. 97, Iss. 2, pp. 579-609
Closed Access | Times Cited: 63
Failure probability assessment of landslides triggered by earthquakes and rainfall: a case study in Yadong County, Tibet, China
Lixia Chen, Le Mei, Bin Zeng, et al.
Scientific Reports (2020) Vol. 10, Iss. 1
Open Access | Times Cited: 54
A unified network of information considering superimposed landslide factors sequence and pixel spatial neighbourhood for landslide susceptibility mapping
Yi He, Zhan'ao Zhao, Yang Wang, et al.
International Journal of Applied Earth Observation and Geoinformation (2021) Vol. 104, pp. 102508-102508
Open Access | Times Cited: 54
Bagging-based machine learning algorithms for landslide susceptibility modeling
Tingyu Zhang, Quan Fu, Hao Wang, et al.
Natural Hazards (2021) Vol. 110, Iss. 2, pp. 823-846
Open Access | Times Cited: 50
Integration of shannon entropy (SE), frequency ratio (FR) and analytical hierarchy process (AHP) in GIS for suitable groundwater potential zones targeting in the Yoyo river basin, Méiganga area, Adamawa Cameroon
Bidichael Wahile Wassouo Elvis, Arsène Meying, Théophile Ndougsa Mbarga, et al.
Journal of Hydrology Regional Studies (2022) Vol. 39, pp. 100997-100997
Open Access | Times Cited: 37
Landslide Susceptibility Mapping Based on the Germinal Center Optimization Algorithm and Support Vector Classification
Ding Xia, Huiming Tang, Sixuan Sun, et al.
Remote Sensing (2022) Vol. 14, Iss. 11, pp. 2707-2707
Open Access | Times Cited: 35
Development and Assessment of GIS-Based Landslide Susceptibility Mapping Models Using ANN, Fuzzy-AHP, and MCDA in Darjeeling Himalayas, West Bengal, India
Abhik Saha, Vasanta Govind Kumar Villuri, Ashutosh Bhardwaj
Land (2022) Vol. 11, Iss. 10, pp. 1711-1711
Open Access | Times Cited: 30
Landslide Susceptibility Mapping using Machine Learning Algorithm
Muhammad Afaq Hussain, Zhanlong Chen, Run Wang, et al.
Civil Engineering Journal (2022) Vol. 8, Iss. 2, pp. 209-224
Open Access | Times Cited: 29
Unraveling the evolution of landslide susceptibility: a systematic review of 30-years of strategic themes and trends
Aonan Dong, Jie Dou, Yonghu Fu, et al.
Geocarto International (2023) Vol. 38, Iss. 1
Open Access | Times Cited: 22
Study of the dynamics of water-enriched debris flow and its impact on slit-type barriers by a modified SPH–DEM coupling approach
Hao Xiong, Mengjie Hao, Debo Zhao, et al.
Acta Geotechnica (2023) Vol. 19, Iss. 2, pp. 1019-1045
Closed Access | Times Cited: 20
A Comparative Study of Supervised Classification Methods for Investigating Landslide Evolution in the Mianyuan River Basin, China
Yujie Long, Weile Li, Runqiu Huang, et al.
Journal of Earth Science (2023) Vol. 34, Iss. 2, pp. 316-329
Closed Access | Times Cited: 19
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
Comparative analysis of analytical hierarchy process (AHP) and frequency ratio (FR) models for landslide susceptibility mapping in Reshun, NW Pakistan
Mukhtar S. Ahmad, Monalisa Monalisa, Saad Khan
Kuwait Journal of Science (2023) Vol. 50, Iss. 3, pp. 387-398
Open Access | Times Cited: 17
Landslide spatial prediction using cluster analysis
Zheng Zhao, Hengxing Lan, Langping Li, et al.
Gondwana Research (2024) Vol. 130, pp. 291-307
Closed Access | Times Cited: 8
Using the rotation and random forest models of ensemble learning to predict landslide susceptibility
Lingran Zhao, Xueling Wu, Ruiqing Niu, et al.
Geomatics Natural Hazards and Risk (2020) Vol. 11, Iss. 1, pp. 1542-1564
Open Access | Times Cited: 48
Potential of Ensemble Learning to Improve Tree-Based Classifiers for Landslide Susceptibility Mapping
Jiahui Song, Yi Wang, Zhice Fang, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2020) Vol. 13, pp. 4642-4662
Open Access | Times Cited: 42
Assessing wetland habitat vulnerability in moribund Ganges delta using bivariate models and machine learning algorithms
Swades Pal, Satyajit Paul
Ecological Indicators (2020) Vol. 119, pp. 106866-106866
Open Access | Times Cited: 42
Dust source susceptibility mapping in Tigris and Euphrates basin using remotely sensed imagery
Ali Darvishi Boloorani, Najmeh Neysani Samany‬, Ramin Papi, et al.
CATENA (2021) Vol. 209, pp. 105795-105795
Closed Access | Times Cited: 41
Explainable Boosting Machines for Slope Failure Spatial Predictive Modeling
Aaron E. Maxwell, Maneesh Sharma, Kurt Donaldson
Remote Sensing (2021) Vol. 13, Iss. 24, pp. 4991-4991
Open Access | Times Cited: 41

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