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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:

Landslide Susceptibility Mapping Based on Deep Learning Algorithms Using Information Value Analysis Optimization
Junjie Ji, Yongzhang Zhou, Qiuming Cheng, et al.
Land (2023) Vol. 12, Iss. 6, pp. 1125-1125
Open Access | Times Cited: 15

Showing 15 citing articles:

Deep Learning for Exploring Landslides with Remote Sensing and Geo-Environmental Data: Frameworks, Progress, Challenges, and Opportunities
Qi Zhang, Teng Wang
Remote Sensing (2024) Vol. 16, Iss. 8, pp. 1344-1344
Open Access | Times Cited: 17
Landslide susceptibility assessment of South Korea using stacking ensemble machine learning
Seungmin Lee, Seung Jae Lee
Geoenvironmental Disasters (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 14
Assessing classification system for landslide susceptibility using frequency ratio, analytical hierarchical process and geospatial technology mapping in Aizawl district, NE India
Jonmenjoy Barman, Jayanta Das
Advances in Space Research (2024) Vol. 74, Iss. 3, pp. 1197-1224
Closed Access | Times Cited: 8
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: 19
Enhanced Absence Sampling Technique for Data-Driven Landslide Susceptibility Mapping: A Case Study in Songyang County, China
Zijin Fu, Fawu Wang, Jie Dou, et al.
Remote Sensing (2023) Vol. 15, Iss. 13, pp. 3345-3345
Open Access | Times Cited: 17
Swarm optimization based heterogeneous machine learning techniques for enhanced landslide susceptibility assessment with comprehensive uncertainty quantification
Sumon Dey, Swarup Das
Earth Science Informatics (2025) Vol. 18, Iss. 1
Closed Access
Integrating dynamic factors for predicting future landslide susceptibility
Suraj Lamichhane, Arhat Ratna Kansakar, Nirajan Devkota, et al.
Environmental Earth Sciences (2025) Vol. 84, Iss. 3
Closed Access
A machine learning-based model framework for predicting uplift capacity factor of circular plate anchor in multi-layer clay
Pai Jiang, Yunhan Huang, Zhongling Zong, et al.
Ships and Offshore Structures (2025), pp. 1-16
Closed Access
Landslide Susceptibility Mapping Methods—A Review
Evangelin Ramani Sujatha, J. S. Sudharsan
Advances in natural and technological hazards research (2024), pp. 87-102
Closed Access | Times Cited: 3
Integrated deep learning with explainable artificial intelligence for enhanced landslide management
Saeed Alqadhi, Javed Mallick, Meshel Q. Alkahtani
Natural Hazards (2023) Vol. 120, Iss. 2, pp. 1343-1365
Closed Access | Times Cited: 9
Review on the progress and future prospects of geological disasters prediction in the era of artificial intelligence
Xiang Zhang, Minghui Zhang, Xin Liu, et al.
Natural Hazards (2024) Vol. 120, Iss. 13, pp. 11485-11525
Closed Access | Times Cited: 2
Risk Mapping of Geological Hazards in Plateau Mountainous Areas Based on Multisource Remote Sensing Data Extraction and Machine Learning (Fuyuan, China)
Shaohan Zhang, Shucheng Tan, Yongqi Sun, et al.
Land (2024) Vol. 13, Iss. 9, pp. 1361-1361
Open Access | Times Cited: 2
Landslide dynamic hazard prediction based on precipitation variation trend and backpropagation neural network
Rui Huang, Bin Zeng, Dong Ai, et al.
Geocarto International (2024) Vol. 39, Iss. 1
Open Access
The generative adversarial neural network with multi-layers stack ensemble hybrid model for landslide prediction in case of training sample imbalance
Wajid Hussain, Shu Hong, Hasnain Abbas, et al.
Stochastic Environmental Research and Risk Assessment (2024)
Closed Access
GIS-based landslide susceptibility assessment using random forest and support vector machine models: A case study for Chin State, Myanmar
Soe Hlaing Tun
Acta Geodynamica et Geomaterialia (2024), pp. 207-240
Closed Access
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