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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:

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

Showing 23 citing articles:

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
Application of Artificial Intelligence and Remote Sensing for Landslide Detection and Prediction: Systematic Review
Stephen Akosah, Ivan Gratchev, Donghyun Kim, et al.
Remote Sensing (2024) Vol. 16, Iss. 16, pp. 2947-2947
Open Access | Times Cited: 9
Unraveling the evolution of landslide susceptibility: a systematic review of 30-years of strategic themes and trends
Aonan Dong, Jie Dou, Yonghu Fu, et al.
Geocarto International (2023) Vol. 38, Iss. 1
Open Access | Times Cited: 22
Landslide Susceptibility Mapping in Guangdong Province, China, Using Random Forest Model and Considering Sample Type and Balance
Li Zhuo, Yupu Huang, Jing Zheng, et al.
Sustainability (2023) Vol. 15, Iss. 11, pp. 9024-9024
Open Access | Times Cited: 17
Accelerating Cross-scene Co-seismic Landslide Detection through Progressive Transfer Learning and Lightweight Deep Learning Strategies
Aonan Dong, Jie Dou, Changdong Li, et al.
IEEE Transactions on Geoscience and Remote Sensing (2024) Vol. 62, pp. 1-13
Closed Access | Times Cited: 8
Exploring the decision-making process of ensemble learning algorithms in landslide susceptibility mapping: Insights from local and global explainable AI analyses
Alihan Teke, Taşkın Kavzoğlu
Advances in Space Research (2024) Vol. 74, Iss. 8, pp. 3765-3785
Closed Access | Times Cited: 6
Geospatial XAI: A Review
Cédric Roussel, Klaus Böhm
ISPRS International Journal of Geo-Information (2023) Vol. 12, Iss. 9, pp. 355-355
Open Access | Times Cited: 11
Recent Applications of Explainable AI (XAI): A Systematic Literature Review
Mirka Saarela, Vili Podgorelec
Applied Sciences (2024) Vol. 14, Iss. 19, pp. 8884-8884
Open Access | Times Cited: 4
Understanding Evapotranspiration Driving Mechanisms in China With Explainable Machine Learning Algorithms
Haiyan Zhang, Guojie Wang, Shijie Li, et al.
International Journal of Climatology (2025)
Closed Access
Artificial intelligence and machine learning-powered GIS for proactive disaster resilience in a changing climate
Justin Diehr, Ayorinde Ogunyiola, Oluwabunmi Dada
Annals of GIS (2025), pp. 1-14
Open Access
Integrated risk assessment of landslide in karst terrains: Advancing landslides management in Beiliu City, China
Ming Chang, Xiangyang Dou, Xisong Zhu, et al.
International Journal of Applied Earth Observation and Geoinformation (2024) Vol. 132, pp. 104046-104046
Open Access | Times Cited: 3
Risk assessment of disaster chain in multi-seam mining beneath gully topography
Yilong Liu, Tianhong Yang, He Wang, et al.
International Journal of Disaster Risk Reduction (2024) Vol. 111, pp. 104750-104750
Closed Access | Times Cited: 3
Hazard Susceptibility Mapping with Machine and Deep Learning: A Literature Review
Angelly de Jesus Pugliese Viloria, A. Folini, Daniela Carrión, et al.
Remote Sensing (2024) Vol. 16, Iss. 18, pp. 3374-3374
Open Access | Times Cited: 3
Application of Machine Learning in Geotechnical Engineering for Risk Assessment
Ali Akbar Firoozi, Ali Asghar Firoozi
Artificial intelligence (2023)
Open Access | Times Cited: 8
Geological Hazards and Risk Management
Jian Chen, Chong Xu
Sustainability (2024) Vol. 16, Iss. 8, pp. 3286-3286
Open Access | Times Cited: 2
Land Use and Land Cover as a Conditioning Factor in Landslide Susceptibility: A Literature Review
Vipin Upadhyay, Himisha Dixit
Advances in natural and technological hazards research (2024), pp. 431-458
Closed Access | Times Cited: 2
A Novel Dataset Replenishment Strategy Integrating Time-Series InSAR for Refined Landslide Susceptibility Mapping in Karst Regions
Y. G. Yang, Xianglong Ma, Ding Wenrong, et al.
Water (2024) Vol. 16, Iss. 17, pp. 2414-2414
Open Access | Times Cited: 2
Insights into landslide susceptibility in different karst erosion landforms based on interpretable machine learning
Deliang Sun, Jing Wang, Haijia Wen, et al.
Earth Surface Processes and Landforms (2023) Vol. 49, Iss. 3, pp. 1006-1027
Closed Access | Times Cited: 5
Landslide Risk Mapping Using the Weight-of-Evidence Method in the Datong Mining Area, Qinghai Province
He Yang, Qihong Wu, Jianhui Dong, et al.
Sustainability (2023) Vol. 15, Iss. 14, pp. 11330-11330
Open Access | Times Cited: 4
A REVIEW OF STATISTICAL APPROACHES USED FOR LANDSLIDE SUSCEPTIBILITY ANALYSIS WITH THE HELP OF REMOTE SENSING AND GIS TECHNOLOGY
Sheetal Bisht, Kishan Singh Rawat
Acta Scientiarum Polonorum Formatio Circumiectus (2023) Vol. 22, Iss. 3, pp. 83-96
Open Access | Times Cited: 4
The Prediction of Cross-Regional Landslide Susceptibility Based on Pixel Transfer Learning
Xiao Wang, Di Wang, Xinyue Li, et al.
Remote Sensing (2024) Vol. 16, Iss. 2, pp. 347-347
Open Access | Times Cited: 1
Visualization of explainable artificial intelligence for GeoAI
Cédric Roussel
Frontiers in Computer Science (2024) Vol. 6
Open Access | Times Cited: 1
A Systematic Review of Artificial Intelligence in Geographic Information Systems
Son Nguyen-Kim, Vinh T. Nguyen, Duc-Binh Nguyen
Lecture notes in networks and systems (2023), pp. 20-31
Closed Access | Times Cited: 1
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