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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:

Comparing the prediction performance of a Deep Learning Neural Network model with conventional machine learning models in landslide susceptibility assessment
Dieu Tien Bui, Paraskevas Tsangaratos, Viet-Tien Nguyen, et al.
CATENA (2020) Vol. 188, pp. 104426-104426
Closed Access | Times Cited: 379

Showing 1-25 of 379 citing articles:

Short-term water quality variable prediction using a hybrid CNN–LSTM deep learning model
Rahim Barzegar, Mohammad Taghi Aalami, Jan Adamowski
Stochastic Environmental Research and Risk Assessment (2020) Vol. 34, Iss. 2, pp. 415-433
Closed Access | Times Cited: 405
Application of deep learning algorithms in geotechnical engineering: a short critical review
Wengang Zhang, Hongrui Li, Yongqin Li, et al.
Artificial Intelligence Review (2021) Vol. 54, Iss. 8, pp. 5633-5673
Closed Access | Times Cited: 388
A review on deep learning in UAV remote sensing
Lucas Prado Osco, José Marcato, Ana Paula Marques Ramos, et al.
International Journal of Applied Earth Observation and Geoinformation (2021) Vol. 102, pp. 102456-102456
Open Access | Times Cited: 327
Evaluation of deep learning algorithms for national scale landslide susceptibility mapping of Iran
Phuong Thao Thi Ngo, Mahdi Panahi, Khabat Khosravi, et al.
Geoscience Frontiers (2020) Vol. 12, Iss. 2, pp. 505-519
Open Access | Times Cited: 307
Landslide susceptibility mapping using hybrid random forest with GeoDetector and RFE for factor optimization
Xinzhi Zhou, Haijia Wen, Yalan Zhang, et al.
Geoscience Frontiers (2021) Vol. 12, Iss. 5, pp. 101211-101211
Open Access | Times Cited: 283
Deep learning-based landslide susceptibility mapping
Mohammad Azarafza, Mehdi Azarafza, Haluk Akgün, et al.
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 253
Prediction of groundwater quality using efficient machine learning technique
Sudhakar Singha, Srinivas Pasupuleti, Soumya S. Singha, et al.
Chemosphere (2021) Vol. 276, pp. 130265-130265
Closed Access | Times Cited: 238
Review on remote sensing methods for landslide detection using machine and deep learning
Amrita Mohan, Amit Kumar Singh, Basant Kumar, et al.
Transactions on Emerging Telecommunications Technologies (2020) Vol. 32, Iss. 7
Closed Access | Times Cited: 233
Deep learning for geological hazards analysis: Data, models, applications, and opportunities
Zhengjing Ma, Gang Mei
Earth-Science Reviews (2021) Vol. 223, pp. 103858-103858
Open Access | Times Cited: 193
GIS-based landslide susceptibility modeling: A comparison between fuzzy multi-criteria and machine learning algorithms
Sk Ajim Ali, Farhana Parvin, Jana Vojteková, et al.
Geoscience Frontiers (2020) Vol. 12, Iss. 2, pp. 857-876
Open Access | Times Cited: 192
Landslide susceptibility mapping using multiscale sampling strategy and convolutional neural network: A case study in Jiuzhaigou region
Yaning Yi, Zhijie Zhang, Wanchang Zhang, et al.
CATENA (2020) Vol. 195, pp. 104851-104851
Closed Access | Times Cited: 188
Machine learning and landslide studies: recent advances and applications
Faraz S. Tehrani, Michele Calvello, Zhongqiang Liu, et al.
Natural Hazards (2022) Vol. 114, Iss. 2, pp. 1197-1245
Open Access | Times Cited: 146
Uncertainty pattern in landslide susceptibility prediction modelling: Effects of different landslide boundaries and spatial shape expressions
Faming Huang, Jun Yan, Xuanmei Fan, et al.
Geoscience Frontiers (2021) Vol. 13, Iss. 2, pp. 101317-101317
Open Access | Times Cited: 135
Convolutional neural network (CNN) with metaheuristic optimization algorithms for landslide susceptibility mapping in Icheon, South Korea
Wahyu Luqmanul Hakim, Fatemeh Rezaie, Arip Syaripudin Nur, et al.
Journal of Environmental Management (2021) Vol. 305, pp. 114367-114367
Closed Access | Times Cited: 135
Applying deep learning and benchmark machine learning algorithms for landslide susceptibility modelling in Rorachu river basin of Sikkim Himalaya, India
Kanu Mandal, Sunil Saha, Sujit Mandal
Geoscience Frontiers (2021) Vol. 12, Iss. 5, pp. 101203-101203
Open Access | Times Cited: 124
A comparison among fuzzy multi-criteria decision making, bivariate, multivariate and machine learning models in landslide susceptibility mapping
Quoc Bao Pham, Yacine Achour, Sk Ajim Ali, et al.
Geomatics Natural Hazards and Risk (2021) Vol. 12, Iss. 1, pp. 1741-1777
Open Access | Times Cited: 112
Uncertainty study of landslide susceptibility prediction considering the different attribute interval numbers of environmental factors and different data-based models
Faming Huang, Ye Zhou, Shui‐Hua Jiang, et al.
CATENA (2021) Vol. 202, pp. 105250-105250
Closed Access | Times Cited: 109
Advanced hyperparameter optimization for improved spatial prediction of shallow landslides using extreme gradient boosting (XGBoost)
Taşkın Kavzoǧlu, Alihan Teke
Bulletin of Engineering Geology and the Environment (2022) Vol. 81, Iss. 5
Closed Access | Times Cited: 80
Soil Quality Prediction in Context Learning Approaches Using Deep Learning and Blockchain for Smart Agriculture
Parvataneni Rajendra Kumar, S. Meenakshi, S. Shalini, et al.
Advances in computational intelligence and robotics book series (2023), pp. 1-26
Closed Access | Times Cited: 73
Landslide Detection Based on ResU-Net with Transformer and CBAM Embedded: Two Examples with Geologically Different Environments
Zhiqiang Yang, Chong Xu, Lei Li
Remote Sensing (2022) Vol. 14, Iss. 12, pp. 2885-2885
Open Access | Times Cited: 69
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: 66
Explainable artificial intelligence in geoscience: A glimpse into the future of landslide susceptibility modeling
Ashok Dahal, Luigi Lombardo
Computers & Geosciences (2023) Vol. 176, pp. 105364-105364
Open Access | Times Cited: 57
Modelling landslide susceptibility prediction: A review and construction of semi-supervised imbalanced theory
Faming Huang, Haowen Xiong, Shui‐Hua Jiang, et al.
Earth-Science Reviews (2024) Vol. 250, pp. 104700-104700
Closed Access | Times Cited: 53
CAS Landslide Dataset: A Large-Scale and Multisensor Dataset for Deep Learning-Based Landslide Detection
Yulin Xu, Chaojun Ouyang, Qingsong Xu, et al.
Scientific Data (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 26
PREDICTIVE MODELING FOR DISEASE OUTBREAKS: A REVIEW OF DATA SOURCES AND ACCURACY
Scholastica Ijeh, Chioma Anthonia Okolo, Jeremiah Olawumi Arowoogun, et al.
International Medical Science Research Journal (2024) Vol. 4, Iss. 4, pp. 406-419
Open Access | Times Cited: 22
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