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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:

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: 37

Showing 1-25 of 37 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: 24
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
Refined landslide susceptibility mapping in township area using ensemble machine learning method under dataset replenishment strategy
Fancheng Zhao, Fasheng Miao, Yiping Wu, et al.
Gondwana Research (2024) Vol. 131, pp. 20-37
Closed Access | Times Cited: 8
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: 6
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
Dynamics and causes of cropland Non-Agriculturalization in typical regions of China: An explanation Based on interpretable Machine learning
Guozhuang Zhang, Xia Li, Leyi Zhang, et al.
Ecological Indicators (2024) Vol. 166, pp. 112348-112348
Open Access | Times Cited: 5
A hybrid data-driven approach for rainfall-induced landslide susceptibility mapping: Physically-based probabilistic model with convolutional neural network
Hongzhi Cui, Bin Tong, Tao Wang, et al.
Journal of Rock Mechanics and Geotechnical Engineering (2024)
Open Access | Times Cited: 5
Multi-temporal InSAR-based landslide dynamic susceptibility mapping of Fengjie County, Three Gorges Reservoir Area, China
Feng Tian, Wei Zhang, Hong‐Hu Zhu, et al.
Journal of Rock Mechanics and Geotechnical Engineering (2025)
Open Access
Geomorphological and Geological Characteristics Slope Unit: Advancing Township-Scale Landslide Susceptibility Assessment Strategies
Gang Chen, Taorui Zeng, Dongsheng Liu, et al.
Land (2025) Vol. 14, Iss. 2, pp. 355-355
Open Access
Landslide susceptibility mapping using artificial intelligence models: a case study in the Himalayas
Muhammad Afaq Hussain, Zhanlong Chen, Yulong Zhou, et al.
Landslides (2025)
Closed Access
Slope unit-based comprehensive geohazard susceptibility assessment: SHAP interpretability and local InSAR deformation analysis
Peng Wang, Hongwei Deng, Jielin Li, et al.
Advances in Space Research (2025)
Closed Access
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: 4
Integrating Knowledge Graph and Machine Learning Methods for Landslide Susceptibility Assessment
Qirui Wu, Zhong Xie, Miao Tian, et al.
Remote Sensing (2024) Vol. 16, Iss. 13, pp. 2399-2399
Open Access | Times Cited: 4
The recent advances in the approach of artificial intelligence (AI) towards drug discovery
Mahroza Kanwal Khan, Mohsin Ali Raza, Muhammad Shahbaz, et al.
Frontiers in Chemistry (2024) Vol. 12
Open Access | Times Cited: 3
Integrating Feature Selection with Machine Learning for Accurate Reservoir Landslide Displacement Prediction
Qi Ge, Jingyong Wang, Cheng Liu, et al.
Water (2024) Vol. 16, Iss. 15, pp. 2152-2152
Open Access | Times Cited: 3
Improving ML-based landslide susceptibility using ensemble method for sample selection: a case study of Kangra district in Himachal Pradesh, India
Ankit Singh, Nitesh Dhiman, K. C. Niraj, et al.
Environmental Science and Pollution Research (2024)
Closed Access | Times Cited: 3
“Ensembled transfer learning approach for error reduction in landslide susceptibility mapping of the data scare region”
Ankit Singh, Nitesh Dhiman, K. C. Niraj, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 3
Multi-criteria analysis and geospatial applications-based mapping flood vulnerable areas: a case study from the eastern Mediterranean
Hazem Ghassan Abdo, Taorui Zeng, Mohammed J. Alshayeb, et al.
Natural Hazards (2024)
Closed Access | Times Cited: 2
Correlation Between Geotechnical Indexes and Landslide Occurrence in Southwestern Cyprus Using GIS and Machine Learning
Ploutarchos Tzampoglou, Dimitrios Loukidis, Paraskevas Tsangaratos, et al.
Geotechnical and Geological Engineering (2024) Vol. 43, Iss. 1
Open Access | Times Cited: 2
Groundwater salinization risk assessment using combined artificial intelligence models
Oussama Dhaoui, Isabel Margarida Antunes, Ines Benhenda, et al.
Environmental Science and Pollution Research (2024) Vol. 31, Iss. 23, pp. 33398-33413
Closed Access | Times Cited: 2
Case Study: Gradient Boosting Machine vs Light GBM in Potential Landslide Detection
Djarot Hindarto
Journal Of Computer Networks Architecture and High Performance Computing (2024) Vol. 6, Iss. 1, pp. 169-178
Open Access | Times Cited: 1
The Influence of Learning Methods and Cognitive Style on the Ability to Understand English Texts About Islam in Students
Asna Usman Dilo
Tafkir Interdisciplinary Journal of Islamic Education (2024) Vol. 5, Iss. 1, pp. 62-78
Open Access | Times Cited: 1
Geospatial assessment of landslide-prone areas in the southern part of Anambra State, Nigeria using classical statistical models
Vincent E. Nwazelibe, Johnbosco C. Egbueri
Environmental Earth Sciences (2024) Vol. 83, Iss. 7
Closed Access | Times Cited: 1
Advancing seismic landslide susceptibility modeling: a comparative evaluation of deep learning models through particle swarm optimization
Lizhou Zhang, Taorui Zeng, Linfeng Wang, et al.
Earth Science Informatics (2024)
Closed Access | Times Cited: 1
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