Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Introducing a novel multi-layer perceptron network based on stochastic gradient descent optimized by a meta-heuristic algorithm for landslide susceptibility mapping
Haoyuan Hong, Paraskevas Tsangaratos, Ioanna Ilia, et al.
The Science of The Total Environment (2020) Vol. 742, pp. 140549-140549
Closed Access | Times Cited: 95

Showing 1-25 of 95 citing articles:

Metaheuristic-based support vector regression for landslide displacement prediction: a comparative study
Junwei Ma, Ding Xia, Haixiang Guo, et al.
Landslides (2022) Vol. 19, Iss. 10, pp. 2489-2511
Open Access | Times Cited: 91
Machine learning-based landslide susceptibility assessment with optimized ratio of landslide to non-landslide samples
Can Yang, Leilei Liu, Faming Huang, et al.
Gondwana Research (2022) Vol. 123, pp. 198-216
Closed Access | Times Cited: 90
Uncertainties of landslide susceptibility prediction considering different landslide types
Faming Huang, Haowen Xiong, Chi Yao, et al.
Journal of Rock Mechanics and Geotechnical Engineering (2023) Vol. 15, Iss. 11, pp. 2954-2972
Open Access | Times Cited: 70
Landslide susceptibility prediction considering land use change and human activity: A case study under rapid urban expansion and afforestation in China
Hanxiang Xiong, Chuanming Ma, Minghong Li, et al.
The Science of The Total Environment (2023) Vol. 866, pp. 161430-161430
Closed Access | Times Cited: 53
High resolution landslide susceptibility mapping using ensemble machine learning and geospatial big data
Nirdesh Sharma, Manabendra Saharia, G. V. Ramana
CATENA (2023) Vol. 235, pp. 107653-107653
Open Access | Times Cited: 42
Uncertainties in landslide susceptibility prediction: Influence rule of different levels of errors in landslide spatial position
Faming Huang, Ronghui Li, Filippo Catani, et al.
Journal of Rock Mechanics and Geotechnical Engineering (2024) Vol. 16, Iss. 10, pp. 4177-4191
Open Access | Times Cited: 20
Combining Evolutionary Algorithms and Machine Learning Models in Landslide Susceptibility Assessments
Wei Chen, Yunzhi Chen, Paraskevas Tsangaratos, et al.
Remote Sensing (2020) Vol. 12, Iss. 23, pp. 3854-3854
Open Access | Times Cited: 84
Landslide susceptibility mapping using artificial neural network tuned by metaheuristic algorithms
Mohammad Mehrabi, Hossein Moayedi
Environmental Earth Sciences (2021) Vol. 80, Iss. 24
Closed Access | Times Cited: 65
Mapping homogeneous regions for flash floods using machine learning: A case study in Jiangxi province, China
Ruojing Zhang, Yuehong Chen, Xiaoxiang Zhang, et al.
International Journal of Applied Earth Observation and Geoinformation (2022) Vol. 108, pp. 102717-102717
Open Access | Times Cited: 48
Effectiveness of Newmark-based sampling strategy for coseismic landslide susceptibility mapping using deep learning, support vector machine, and logistic regression
Chuanjie Xi, Mei Han, Xiewen Hu, et al.
Bulletin of Engineering Geology and the Environment (2022) Vol. 81, Iss. 5
Closed Access | Times Cited: 41
Assessment of rainfall-induced landslide susceptibility in Artvin, Turkey using machine learning techniques
Halil Akıncı
Journal of African Earth Sciences (2022) Vol. 191, pp. 104535-104535
Closed Access | Times Cited: 40
Spatial modelling the location choice of large-scale solar photovoltaic power plants: Application of interpretable machine learning techniques and the national inventory
Yanwei Sun, Danfeng Zhu, Ying Li, et al.
Energy Conversion and Management (2023) Vol. 289, pp. 117198-117198
Closed Access | Times Cited: 37
Comparisons of Convolutional Neural Network and Other Machine Learning Methods in Landslide Susceptibility Assessment: A Case Study in Pingwu
Ziyu Jiang, Ming Wang, Kai Liu
Remote Sensing (2023) Vol. 15, Iss. 3, pp. 798-798
Open Access | Times Cited: 35
Comparative Analysis of Tree-Based Ensemble Learning Algorithms for Landslide Susceptibility Mapping: A Case Study in Rize, Turkey
Ayşe Yavuz Özalp, Halil Akıncı, Mustafa Zeybek
Water (2023) Vol. 15, Iss. 14, pp. 2661-2661
Open Access | Times Cited: 26
Integrating a multi-dimensional deep convolutional neural network with optimized sample selection for landslide susceptibility assessment
Yueyue Wang, Xueling Wu, Kun Zou, et al.
Geo-spatial Information Science (2025), pp. 1-21
Open Access | Times Cited: 1
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: 53
Landslide susceptibility mapping and hazard assessment in Artvin (Turkey) using frequency ratio and modified information value model
Halil Akıncı, Ayşe Yavuz Özalp
Acta Geophysica (2021) Vol. 69, Iss. 3, pp. 725-745
Closed Access | Times Cited: 42
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: 36
A Data-Driven Model on Google Earth Engine for Landslide Susceptibility Assessment in the Hengduan Mountains, the Qinghai–Tibetan Plateau
Wenhuan Wu, Qiang Zhang, Vijay P. Singh, et al.
Remote Sensing (2022) Vol. 14, Iss. 18, pp. 4662-4662
Open Access | Times Cited: 35
Hybrid meta-heuristic machine learning methods applied to landslide susceptibility mapping in the Sahel-Algiers
Mohammed Amin‎ Benbouras
International Journal of Sediment Research (2022) Vol. 37, Iss. 5, pp. 601-618
Closed Access | Times Cited: 31
Developments in Quantitative Assessment and Modeling of Mineral Resource Potential: An Overview
Yue Liu, Emmanuel John M. Carranza, Qinglin Xia
Natural Resources Research (2022) Vol. 31, Iss. 4, pp. 1825-1840
Open Access | Times Cited: 30
Improved landslide susceptibility mapping using unsupervised and supervised collaborative machine learning models
Chenxu Su, Bijiao Wang, Yunhong Lv, et al.
Georisk Assessment and Management of Risk for Engineered Systems and Geohazards (2022) Vol. 17, Iss. 2, pp. 387-405
Closed Access | Times Cited: 30
Hunger games pattern search with elite opposite-based solution for solving complex engineering design problems
Serdar Ekinci, Davut İzci, Erdal Eker, et al.
Evolving Systems (2023) Vol. 15, Iss. 3, pp. 939-964
Closed Access | Times Cited: 18
Landslide susceptibility assessment using locally weighted learning integrated with machine learning algorithms
Haoyuan Hong
Expert Systems with Applications (2023) Vol. 237, pp. 121678-121678
Closed Access | Times Cited: 17
Enhanced multi-layer perceptron for CO2 emission prediction with worst moth disrupted moth fly optimization (WMFO)
Oluwatayomi Rereloluwa Adegboye, Ezgi Deniz Ülker, Afi Kekeli Feda, et al.
Heliyon (2024) Vol. 10, Iss. 11, pp. e31850-e31850
Open Access | Times Cited: 7
Page 1 - Next Page

Scroll to top