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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:

Ensemble learning framework for landslide susceptibility mapping: Different basic classifier and ensemble strategy
Taorui Zeng, Liyang Wu, Dario Peduto, et al.
Geoscience Frontiers (2023) Vol. 14, Iss. 6, pp. 101645-101645
Open Access | Times Cited: 76

Showing 1-25 of 76 citing articles:

Advanced integration of ensemble learning and MT-InSAR for enhanced slow-moving landslide susceptibility zoning
Taorui Zeng, Liyang Wu, Yuichi S. Hayakawa, et al.
Engineering Geology (2024) Vol. 331, pp. 107436-107436
Closed Access | Times Cited: 25
Optimizing landslide susceptibility mapping using machine learning and geospatial techniques
Gazali Agboola, Leila Hashemi-Beni, Tamer Elbayoumi, et al.
Ecological Informatics (2024) Vol. 81, pp. 102583-102583
Open Access | Times Cited: 25
Assessing the imperative of conditioning factor grading in machine learning-based landslide susceptibility modeling: A critical inquiry
Taorui Zeng, Bijing Jin, Thomas Glade, et al.
CATENA (2023) Vol. 236, pp. 107732-107732
Closed Access | Times Cited: 39
Deep Learning and Machine Learning Models for Landslide Susceptibility Mapping with Remote Sensing Data
Muhammad Afaq Hussain, Zhanlong Chen, Ying Zheng, et al.
Remote Sensing (2023) Vol. 15, Iss. 19, pp. 4703-4703
Open Access | Times Cited: 29
Tempo-Spatial Landslide Susceptibility Assessment from the Perspective of Human Engineering Activity
Taorui Zeng, Zizheng Guo, Linfeng Wang, et al.
Remote Sensing (2023) Vol. 15, Iss. 16, pp. 4111-4111
Open Access | Times Cited: 28
Deep learning powered long-term warning systems for reservoir landslides
Taorui Zeng, Thomas Glade, Yangyi Xie, et al.
International Journal of Disaster Risk Reduction (2023) Vol. 94, pp. 103820-103820
Closed Access | Times Cited: 26
GIS-based landslide susceptibility mapping of Western Rwanda: an integrated artificial neural network, frequency ratio, and Shannon entropy approach
Vincent E. Nwazelibe, Johnbosco C. Egbueri, Chinanu O. Unigwe, et al.
Environmental Earth Sciences (2023) Vol. 82, Iss. 19
Closed Access | Times Cited: 25
Uncertainties of landslide susceptibility prediction: influences of different study area scales and mapping unit scales
Faming Huang, Yu Cao, Wenbin Li, et al.
International Journal of Coal Science & Technology (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 12
Dynamic landslide susceptibility mapping based on the PS-InSAR deformation intensity
Bijing Jin, Taorui Zeng, Kunlong Yin, et al.
Environmental Science and Pollution Research (2024) Vol. 31, Iss. 5, pp. 7872-7888
Open Access | Times Cited: 10
Comparative analysis of the TabNet algorithm and traditional machine learning algorithms for landslide susceptibility assessment in the Wanzhou Region of China
Song Yingze, Song Yingxu, Xin Zhang, et al.
Natural Hazards (2024) Vol. 120, Iss. 8, pp. 7627-7652
Closed Access | Times Cited: 10
A new early warning criterion for landslides movement assessment: Deformation Standardized Anomaly Index
Junrong Zhang, Huiming Tang, Biying Zhou, et al.
Bulletin of Engineering Geology and the Environment (2024) Vol. 83, Iss. 5
Closed Access | Times Cited: 9
Interpretable machine learning models and decision-making mechanisms for landslide hazard assessment under different rainfall conditions
Haijia Wen, Fangyi Yan, Junhao Huang, et al.
Expert Systems with Applications (2025), pp. 126582-126582
Closed Access | Times Cited: 1
Probing multi-physical process and deformation mechanism of a large-scale landslide using integrated dual-source monitoring
Hong‐Hu Zhu, 孝 河野, Huafu Pei, et al.
Geoscience Frontiers (2023) Vol. 15, Iss. 2, pp. 101773-101773
Open Access | Times Cited: 18
Double-index rainfall warning and probabilistic physically based model for fast-moving landslide hazard analysis in subtropical-typhoon area
Taorui Zeng, Quanbing Gong, Liyang Wu, et al.
Landslides (2023) Vol. 21, Iss. 4, pp. 753-773
Closed Access | Times Cited: 17
Ensemble learning landslide susceptibility assessment with optimized non-landslide samples selection
Jiangang Lu, Yi He, Lifeng Zhang, et al.
Geomatics Natural Hazards and Risk (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 7
Landslide susceptibility mapping using physics-guided machine learning: a case study of a debris flow event in Colorado Front Range
Te Pei, Tong Qiu
Acta Geotechnica (2024) Vol. 19, Iss. 10, pp. 6617-6641
Closed Access | Times Cited: 7
A benchmark dataset and workflow for landslide susceptibility zonation
Massimiliano Alvioli, Marco Loche, Liesbet Jacobs, et al.
Earth-Science Reviews (2024) Vol. 258, pp. 104927-104927
Open Access | Times Cited: 7
Application of machine learning in the assessment of landslide susceptibility: A case study of mountainous eastern Mediterranean region, Syria
Hazem Ghassan Abdo, Sahar Mohammed Richi
Journal of King Saud University - Science (2024) Vol. 36, Iss. 5, pp. 103174-103174
Open Access | Times Cited: 5
Analysis of the impact of terrain factors and data fusion methods on uncertainty in intelligent landslide detection
Rui Zhang, Jichao Lv, Yunjie Yang, et al.
Landslides (2024) Vol. 21, Iss. 8, pp. 1849-1864
Closed Access | Times Cited: 5
Advanced risk assessment framework for land subsidence impacts on transmission towers in salt lake region
Bijing Jin, Taorui Zeng, Tengfei Wang, et al.
Environmental Modelling & Software (2024) Vol. 177, pp. 106058-106058
Closed Access | Times Cited: 5
Optimizing landslide susceptibility mapping using integrated forest by penalizing attributes model with ensemble algorithms
Wei Chen, Chao Wang, Xia Zhao, et al.
Earth Science Informatics (2025) Vol. 18, Iss. 2
Closed Access
Optimizing Stacked Ensemble Machine Learning Models for Accurate Wildfire Severity Mapping
Linh Nguyen Van, Giha Lee
Remote Sensing (2025) Vol. 17, Iss. 5, pp. 854-854
Open Access
Research on Prediction of Dissolved Gas Concentration in a Transformer Based on Dempster–Shafer Evidence Theory-Optimized Ensemble Learning
Pan Zhang, Kang Hu, Yuting Yang, et al.
Electronics (2025) Vol. 14, Iss. 7, pp. 1266-1266
Open Access
A Novel Heterogeneous Ensemble Framework Based on Machine Learning Models for Shallow Landslide Susceptibility Mapping
Haozhe Tang, Changming Wang, Silong An, et al.
Remote Sensing (2023) Vol. 15, Iss. 17, pp. 4159-4159
Open Access | Times Cited: 10
A novel evolutionary combination of artificial intelligence algorithm and machine learning for landslide susceptibility mapping in the west of Iran
Yue Shen, Atefeh Ahmadi Dehrashid, Ramin Atash Bahar, et al.
Environmental Science and Pollution Research (2023) Vol. 30, Iss. 59, pp. 123527-123555
Closed Access | Times Cited: 10
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