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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:

Predicting and Understanding Landslide Events With Explainable AI
Enrico Collini, Luciano Alessandro Ipsaro Palesi, Paolo Nesi, et al.
IEEE Access (2022) Vol. 10, pp. 31175-31189
Open Access | Times Cited: 44

Showing 1-25 of 44 citing articles:

Machine learning based wildfire susceptibility mapping using remotely sensed fire data and GIS: A case study of Adana and Mersin provinces, Turkey
Muzaffer Can İban, Aliihsan Şekertekin
Ecological Informatics (2022) Vol. 69, pp. 101647-101647
Closed Access | Times Cited: 112
Explainable Artificial Intelligence (XAI) for Intrusion Detection and Mitigation in Intelligent Connected Vehicles: A Review
Cosmas Ifeanyi Nwakanma, Love Allen Chijioke Ahakonye, Judith Nkechinyere Njoku, et al.
Applied Sciences (2023) Vol. 13, Iss. 3, pp. 1252-1252
Open Access | Times Cited: 98
Predicting and analyzing flood susceptibility using boosting-based ensemble machine learning algorithms with SHapley Additive exPlanations
Halit Enes Aydin, Muzaffer Can İban
Natural Hazards (2022) Vol. 116, Iss. 3, pp. 2957-2991
Closed Access | Times Cited: 89
Automatic COVID-19 prediction using explainable machine learning techniques
Sanzida Solayman, Sk. Azmiara Aumi, Chand Sultana Mery, et al.
International Journal of Cognitive Computing in Engineering (2023) Vol. 4, pp. 36-46
Open Access | Times Cited: 61
Explainable artificial intelligence in disaster risk management: Achievements and prospective futures
Saman Ghaffarian, Firouzeh Taghikhah, Holger R. Maier
International Journal of Disaster Risk Reduction (2023) Vol. 98, pp. 104123-104123
Open Access | Times Cited: 61
On the use of explainable AI for susceptibility modeling: Examining the spatial pattern of SHAP values
Nan Wang, Hongyan Zhang, Ashok Dahal, et al.
Geoscience Frontiers (2024) Vol. 15, Iss. 4, pp. 101800-101800
Open Access | Times Cited: 24
Performance comparison of landslide susceptibility mapping under multiple machine-learning based models considering InSAR deformation: a case study of the upper Jinsha River
Jiaming Yao, Xin Yao, Zheng Zhao, et al.
Geomatics Natural Hazards and Risk (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 26
Towards landslide space-time forecasting through machine learning: the influence of rainfall parameters and model setting
Nicola Nocentini, Ascanio Rosi, Samuele Segoni, et al.
Frontiers in Earth Science (2023) Vol. 11
Open Access | Times Cited: 25
Adopting the margin of stability for space–time landslide prediction – A data-driven approach for generating spatial dynamic thresholds
Stefan Steger, Mateo Moreno, Alice Crespi, et al.
Geoscience Frontiers (2024) Vol. 15, Iss. 5, pp. 101822-101822
Open Access | Times Cited: 14
Artificial Intelligence: A new era for spatial modelling and interpreting climate-induced hazard assessment
Abhirup Dikshit, Biswajeet Pradhan, S.S. Matin, et al.
Geoscience Frontiers (2024) Vol. 15, Iss. 4, pp. 101815-101815
Open Access | Times Cited: 7
Rainfall-induced landslide prediction models, part ii: deterministic physical and phenomenologically models
Kyrillos M. P. Ebrahim, Sherif M. M. H. Gomaa, Tarek Zayed, et al.
Bulletin of Engineering Geology and the Environment (2024) Vol. 83, Iss. 3
Open Access | Times Cited: 7
Snap4City dashboard manager: A tool for creating and distributing complex and interactive dashboards with no or low coding
Pierfrancesco Bellini, Marco Fanfani, Paolo Nesi, et al.
SoftwareX (2024) Vol. 26, pp. 101729-101729
Open Access | Times Cited: 7
Global Spatial Suitability Mapping of Wind and Solar Systems Using an Explainable AI-Based Approach
Mourtadha Sarhan Sachit, Helmi Zulhaidi Mohd Shafri, Ahmad Fikri Abdullah, et al.
ISPRS International Journal of Geo-Information (2022) Vol. 11, Iss. 8, pp. 422-422
Open Access | Times Cited: 26
Implementing integrated digital twin modelling and representation into the Snap4City platform for smart city solutions
Lorenzo Adreani, Pierfrancesco Bellini, Carlo Colombo, et al.
Multimedia Tools and Applications (2023) Vol. 83, Iss. 12, pp. 37121-37146
Open Access | Times Cited: 15
An Efficient U-Net Model for Improved Landslide Detection from Satellite Images
Naveen Chandra, Suraj Sawant, Himadri Vaidya
PFG – Journal of Photogrammetry Remote Sensing and Geoinformation Science (2023) Vol. 91, Iss. 1, pp. 13-28
Closed Access | Times Cited: 14
Automated detection of landslide events from multi-source remote sensing imagery: Performance evaluation and analysis of YOLO algorithms
Naveen Chandra, Himadri Vaidya
Journal of Earth System Science (2024) Vol. 133, Iss. 3
Closed Access | Times Cited: 6
Deep learning approaches for landslide information recognition: Current scenario and opportunities
Naveen Chandra, Himadri Vaidya
Journal of Earth System Science (2024) Vol. 133, Iss. 2
Closed Access | Times Cited: 5
Optimization of rainfall thresholds for landslide early warning through false alarm reduction and a multi-source validation
Nicola Nocentini, Camilla Medici, Francesco Barbadori, et al.
Landslides (2023) Vol. 21, Iss. 3, pp. 557-571
Open Access | Times Cited: 13
Explainable AI for Earth observation: current methods, open challenges, and opportunities
Gülşen Taşkın, Erchan Aptoula, Alp Ertürk
Elsevier eBooks (2024), pp. 115-152
Open Access | Times Cited: 4
Towards physics-informed neural networks for landslide prediction
Ashok Dahal, Luigi Lombardo
Engineering Geology (2024), pp. 107852-107852
Open Access | Times Cited: 4
Optimization of monitoring and early warning technology for mine water disasters using microservices and long short-term memory algorithm
Wei Li, Yang Li, Yaning Zhao, et al.
The Journal of Supercomputing (2025) Vol. 81, Iss. 4
Closed Access
Multimodal artificial intelligence approaches using large language models for expert‐level landslide image analysis
Kittitouch Areerob, Van‐Quang Nguyen, Xianfeng Li, et al.
Computer-Aided Civil and Infrastructure Engineering (2025)
Open Access
Landslide Susceptibility Prediction Using Deep Learning
M. Jeni Precilla, Smrithy Girijakumari Sreekantan Nair, Balaji Chandrasekaran, et al.
Advances in computational intelligence and robotics book series (2025), pp. 301-330
Closed Access
Prediction of fruit characteristics of grafted plants of Camellia oleifera by deep neural networks
Fan Yang, Yuhuan Zhou, Jiayi Du, et al.
Plant Methods (2024) Vol. 20, Iss. 1
Open Access | Times Cited: 3
Augmented Intelligence Forecasting and What-If-Scenario Analytics With Quantified Uncertainty for Big Real-Time Slope Monitoring Data
Antoinette Tordesillas, Hangfei Zheng, Guoqi Qian, et al.
IEEE Transactions on Geoscience and Remote Sensing (2024) Vol. 62, pp. 1-29
Closed Access | Times Cited: 3
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