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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:

On the Importance of Train–Test Split Ratio of Datasets in Automatic Landslide Detection by Supervised Classification
Kamila Pawłuszek-Filipiak, Andrzej Borkowski
Remote Sensing (2020) Vol. 12, Iss. 18, pp. 3054-3054
Open Access | Times Cited: 42

Showing 1-25 of 42 citing articles:

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: 150
Combining spatial response features and machine learning classifiers for landslide susceptibility mapping
Ruilong Wei, Chengming Ye, Tianbo Sui, et al.
International Journal of Applied Earth Observation and Geoinformation (2022) Vol. 107, pp. 102681-102681
Open Access | Times Cited: 55
Improving ionic conductivity of garnet solid-state electrolytes using Gradient boosting regression optimized machine learning
Yue Ma, Shaoxiong Han, Yan Sun, et al.
Journal of Power Sources (2024) Vol. 604, pp. 234492-234492
Closed Access | Times Cited: 9
Trade-off between training and testing ratio in machine learning for medical image processing
Muthuramalingam Sivakumar, S. Parthasarathy, S. Padmapriya
PeerJ Computer Science (2024) Vol. 10, pp. e2245-e2245
Open Access | Times Cited: 9
A New Approach to Spatial Landslide Susceptibility Prediction in Karst Mining Areas Based on Explainable Artificial Intelligence
Haoran Fang, Yun Shao, Chou Xie, et al.
Sustainability (2023) Vol. 15, Iss. 4, pp. 3094-3094
Open Access | Times Cited: 23
Smaller is better? Unduly nice accuracy assessments in roof detection using remote sensing data with machine learning and k-fold cross-validation
Dávid Abriha, Prashant K. Srivastava, Szilárd Szabó
Heliyon (2023) Vol. 9, Iss. 3, pp. e14045-e14045
Open Access | Times Cited: 18
Identifying driving hydrogeomorphic factors of coastal wetland downgrading using random forest classification models
Keqi He, Wenhong Li, Yu Zhang, et al.
The Science of The Total Environment (2023) Vol. 894, pp. 164995-164995
Closed Access | Times Cited: 14
A semi-supervised multi-temporal landslide and flash flood event detection methodology for unexplored regions using massive satellite image time series
Axel Deijns, David Michéa, Aline Déprez, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2024) Vol. 215, pp. 400-418
Closed Access | Times Cited: 6
Quantifying the Influence of Climate Variables on Vegetation Through Remote Sensing and Multi-dimensional Data Analysis
Hatef Dastour, Quazi K. Hassan
Earth Systems and Environment (2024) Vol. 8, Iss. 2, pp. 165-180
Closed Access | Times Cited: 5
PSO driven designing of robust and computation efficient 1D-CNN architecture for transmission line fault detection
Subhrajit Mitra, R. Mukhopadhyay, Paramita Chattopadhyay
Expert Systems with Applications (2022) Vol. 210, pp. 118178-118178
Closed Access | Times Cited: 22
Accuracy evaluation for coastline extraction from Pléiades imagery based on NDWI and IHS pan-sharpening application
Emanuele Alcaras, Ugo Falchi, Claudio Parente, et al.
Applied Geomatics (2022) Vol. 15, Iss. 3, pp. 595-605
Closed Access | Times Cited: 20
AI Model for Industry Classification Based on Website Data
Timotej Jagrič, Aljaž Herman
Information (2024) Vol. 15, Iss. 2, pp. 89-89
Open Access | Times Cited: 4
Comparison of Machine-Learning Algorithms for Estimating Cost of Conventional and Accelerated Bridge Construction Methods during Early Design Phase
Hadil Helaly, Khaled El‐Rayes, Ernest-John Ignacio, et al.
Journal of Construction Engineering and Management (2025) Vol. 151, Iss. 3
Closed Access
Prediction model for type 2 diabetes mellitus and its association with mortality using machine learning in three independent cohorts from South Korea, Japan, and the UK: a model development and validation study
Hayeon Lee, Soon Cheon Hwang, Seoyoung Park, et al.
EClinicalMedicine (2025) Vol. 80, pp. 103069-103069
Closed Access
Significance of Fairly Distributed Instances and Optimal Ratio for Validation Set in Machine Learning
Hina Nasir, Archana Pandita, Chaudhary Nauman Bin Nasir, et al.
Signals and communication technology (2025), pp. 641-647
Closed Access
Recent advances in metal-organic framework capabilities with machine learning innovations for enhanced drug release systems
Minoosh Lalinia, Nahid Hassanzadeh Nemati, Parinaz Mofazali, et al.
Materials Today Chemistry (2025) Vol. 45, pp. 102640-102640
Closed Access
TL-ESKF: An information fusion method for INS/GPS integrated navigation considering driving state deviation
Yafei Wang, Dongyu Luo, Jiangfeng Wang, et al.
Expert Systems with Applications (2025), pp. 128168-128168
Closed Access
Multitemporal Landslide Inventory and Activity Analysis by Means of Aerial Photogrammetry and LiDAR Techniques in an Area of Southern Spain
Tomás Fernández, José Luís Pérez, J. M. Gómez-López, et al.
Remote Sensing (2021) Vol. 13, Iss. 11, pp. 2110-2110
Open Access | Times Cited: 21
Flood susceptibility assessment using hybrid machine learning and remote sensing in Quang Tri province, Vietnam
Huu Duy Nguyen
Transactions in GIS (2022) Vol. 26, Iss. 7, pp. 2776-2801
Closed Access | Times Cited: 14
Visualization analysis of rainfall-induced landslides hazards based on remote sensing and geographic information system-an overview
Zhengli Yang, Heng Lü, Zhijie Zhang, et al.
International Journal of Digital Earth (2023) Vol. 16, Iss. 1, pp. 2374-2402
Open Access | Times Cited: 8
Mapping of Dwellings in IDP/Refugee Settlements from Very High-Resolution Satellite Imagery Using a Mask Region-Based Convolutional Neural Network
Getachew Workineh Gella, L. Wendt, Stefan Lang, et al.
Remote Sensing (2022) Vol. 14, Iss. 3, pp. 689-689
Open Access | Times Cited: 12
Leveraging machine learning and Landsat time series for high-resolution mapping of mining-induced vegetation changes in Ouagadougou, Burkina Faso
O. Himmy, Thanh Thi Nguyen, Katharina Salomea Hemmler, et al.
Environmental Challenges (2024), pp. 101026-101026
Open Access | Times Cited: 2
The influence of training data variability on a supervised machine learning classifier for Structure from Motion (SfM) point clouds of rock slopes
Luke Weidner, Gabriel Walton
Engineering Geology (2021) Vol. 294, pp. 106344-106344
Closed Access | Times Cited: 16
A Novel Classification Method: Neighborhood-Based Positive Unlabeled Learning Using Decision Tree (NPULUD)
Bita Ghasemkhani, Kadriye Filiz Balbal, Kökten Ulaş Birant, et al.
Entropy (2024) Vol. 26, Iss. 5, pp. 403-403
Open Access | Times Cited: 2
Research on High-Entropy Spinel Microwave Absorption Materials: Exploration of Machine Learning and Experimental Integration
Pengyu Liu, Zhenming Cui, Yan Sun, et al.
Ceramics International (2024)
Closed Access | Times Cited: 2
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