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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:

A Novel Hybrid Method for Landslide Susceptibility Mapping-Based GeoDetector and Machine Learning Cluster: A Case of Xiaojin County, China
Wei Xie, Xiaoshuang Li, Wenbin Jian, et al.
ISPRS International Journal of Geo-Information (2021) Vol. 10, Iss. 2, pp. 93-93
Open Access | Times Cited: 91

Showing 1-25 of 91 citing articles:

Landslide Susceptibility Mapping Using Machine Learning: A Literature Survey
Moziihrii Ado, Khwairakpam Amitab, Arnab Kumar Maji, et al.
Remote Sensing (2022) Vol. 14, Iss. 13, pp. 3029-3029
Open Access | Times Cited: 106
Soil Moisture Measuring Techniques and Factors Affecting the Moisture Dynamics: A Comprehensive Review
Muhammad Waseem Rasheed, Jialiang Tang, Abid Sarwar, et al.
Sustainability (2022) Vol. 14, Iss. 18, pp. 11538-11538
Open Access | Times Cited: 105
Simulated annealing-based dynamic step shuffled frog leaping algorithm: Optimal performance design and feature selection
Yun Liu, Ali Asghar Heidari, Zhennao Cai, et al.
Neurocomputing (2022) Vol. 503, pp. 325-362
Closed Access | Times Cited: 93
Assessment of landslide susceptibility along mountain highways based on different machine learning algorithms and mapping units by hybrid factors screening and sample optimization
Deliang Sun, Qingyu Gu, Haijia Wen, et al.
Gondwana Research (2022) Vol. 123, pp. 89-106
Closed Access | Times Cited: 87
Application of genetic algorithm in optimization parallel ensemble-based machine learning algorithms to flood susceptibility mapping using radar satellite imagery
Seyed Vahid Razavi-Termeh, Abolghasem Sadeghi‐Niaraki, Myoung-Bae Seo, et al.
The Science of The Total Environment (2023) Vol. 873, pp. 162285-162285
Closed Access | Times Cited: 47
A novel swarm intelligence: cuckoo optimization algorithm (COA) and SailFish optimizer (SFO) in landslide susceptibility assessment
Rana Muhammad Adnan Ikram, Atefeh Ahmadi Dehrashid, Binqiao Zhang, et al.
Stochastic Environmental Research and Risk Assessment (2023) Vol. 37, Iss. 5, pp. 1717-1743
Closed Access | Times Cited: 43
Landslide hazard assessment based on Bayesian optimization–support vector machine in Nanping City, China
Wei Xie, Wen Nie, Pooya Saffari, et al.
Natural Hazards (2021) Vol. 109, Iss. 1, pp. 931-948
Closed Access | Times Cited: 101
Landslide Susceptibility Assessment Model Construction Using Typical Machine Learning for the Three Gorges Reservoir Area in China
Junying Cheng, Xiaoai Dai, Zekun Wang, et al.
Remote Sensing (2022) Vol. 14, Iss. 9, pp. 2257-2257
Open Access | Times Cited: 44
Prediction of nth-order derivatives for vibration responses of a sandwich shell composed of a magnetorheological core and composite face layers
Wei Zheng, Jiadong Liu, Mohammad Amin Oyarhossein, et al.
Engineering Analysis with Boundary Elements (2022) Vol. 146, pp. 170-183
Closed Access | Times Cited: 41
Soil erosion susceptibility mapping using ensemble machine learning models: A case study of upper Congo river sub-basin
Luc Cimusa Kulimushi, Janvier Bashagaluke, Pankaj Prasad, et al.
CATENA (2022) Vol. 222, pp. 106858-106858
Closed Access | Times Cited: 41
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: 25
Assessing classification system for landslide susceptibility using frequency ratio, analytical hierarchical process and geospatial technology mapping in Aizawl district, NE India
Jonmenjoy Barman, Jayanta Das
Advances in Space Research (2024) Vol. 74, Iss. 3, pp. 1197-1224
Closed Access | Times Cited: 10
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: 8
The influences of the spatial extent selection for non-landslide samples on statistical-based landslide susceptibility modelling: a case study of Anhui Province in China
Chuhan Wang, Qigen Lin, Leibin Wang, et al.
Natural Hazards (2022) Vol. 112, Iss. 3, pp. 1967-1988
Closed Access | Times Cited: 35
GIS-Based Comparative Study of the Bayesian Network, Decision Table, Radial Basis Function Network and Stochastic Gradient Descent for the Spatial Prediction of Landslide Susceptibility
Junpeng Huang, Sixiang Ling, Xiyong Wu, et al.
Land (2022) Vol. 11, Iss. 3, pp. 436-436
Open Access | Times Cited: 34
Comparative study of machine learning methods and GR2M model for monthly runoff prediction
Pakorn Ditthakit, Sirimon Pinthong, Nureehan Salaeh, et al.
Ain Shams Engineering Journal (2022) Vol. 14, Iss. 4, pp. 101941-101941
Open Access | Times Cited: 34
Spiral Gaussian mutation sine cosine algorithm: Framework and comprehensive performance optimization
Wei Zhou, Pengjun Wang, Ali Asghar Heidari, et al.
Expert Systems with Applications (2022) Vol. 209, pp. 118372-118372
Closed Access | Times Cited: 31
Landslide Susceptibility Modeling Using Remote Sensing Data and Random SubSpace-Based Functional Tree Classifier
Tao Peng, Yunzhi Chen, Wei Chen
Remote Sensing (2022) Vol. 14, Iss. 19, pp. 4803-4803
Open Access | Times Cited: 31
Landslide susceptibility mapping (LSM) of Swat District, Hindu Kush Himalayan region of Pakistan, using GIS-based bivariate modeling
Fakhrul Islam, Salma Riaz, Bushra Ghaffar, et al.
Frontiers in Environmental Science (2022) Vol. 10
Open Access | Times Cited: 29
Pixel-based classification method for earthquake-induced landslide mapping using remotely sensed imagery, geospatial data and temporal change information
Adel Asadi, Laurie G. Baise, Magaly Koch, et al.
Natural Hazards (2024) Vol. 120, Iss. 6, pp. 5163-5200
Closed Access | Times Cited: 7
Predicting Energy Consumption Using Stacked LSTM Snapshot Ensemble
Mona Ahamd Alghamdi, Abdullah Alghamdi, Mahmoud Ragab
Big Data Mining and Analytics (2024) Vol. 7, Iss. 2, pp. 247-270
Open Access | Times Cited: 7
Landslide susceptibility mapping core-base factors and models’ performance variability: a systematic review
Santos D. Chicas, Heng Li, Nobuya Mizoue, et al.
Natural Hazards (2024) Vol. 120, Iss. 14, pp. 12573-12593
Closed Access | Times Cited: 7
Research on machine learning forecasting and early warning model for rainfall-induced landslides in Yunnan province
Jia Kang, Bingcheng Wan, Zhiqiu Gao, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 6
Quasi-static indentation, low-velocity impact, and resonance responses of the laminated double-curved panel considering various boundary conditions
Huayang Zhao, Changhe Li, Yuming Fu, et al.
Thin-Walled Structures (2022) Vol. 183, pp. 110360-110360
Closed Access | Times Cited: 27
Enhancing the Accuracy of the REPTree by Integrating the Hybrid Ensemble Meta-Classifiers for Modelling the Landslide Susceptibility of Idukki District, South-western India
R. S. Ajin, Sunil Saha, Anik Saha, et al.
Journal of the Indian Society of Remote Sensing (2022) Vol. 50, Iss. 11, pp. 2245-2265
Closed Access | Times Cited: 26
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