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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 Interpretable Machine Learning from the Perspective of Geomorphological Differentiation
Deliang Sun, D C Chen, Jialan Zhang, et al.
Land (2023) Vol. 12, Iss. 5, pp. 1018-1018
Open Access | Times Cited: 33

Showing 1-25 of 33 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: 47
A novel flood risk management approach based on future climate and land use change scenarios
Huu Duy Nguyen, Quoc‐Huy Nguyen, Dinh Kha Dang, et al.
The Science of The Total Environment (2024) Vol. 921, pp. 171204-171204
Closed Access | Times Cited: 19
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: 17
Integrating Machine Learning Ensembles for Landslide Susceptibility Mapping in Northern Pakistan
Nafees Ali, Jian Chen, Xiaodong Fu, et al.
Remote Sensing (2024) Vol. 16, Iss. 6, pp. 988-988
Open Access | Times Cited: 14
Improving the model robustness of flood hazard mapping based on hyperparameter optimization of random forest
Mingyong Liao, Haijia Wen, Ling Yang, et al.
Expert Systems with Applications (2023) Vol. 241, pp. 122682-122682
Closed Access | Times Cited: 24
Uncertainties in landslide susceptibility prediction modeling: A review on the incompleteness of landslide inventory and its influence rules
Faming Huang, Daxiong Mao, Shui‐Hua Jiang, et al.
Geoscience Frontiers (2024) Vol. 15, Iss. 6, pp. 101886-101886
Open Access | Times Cited: 14
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: 9
Comparison of tree-based ensemble learning algorithms for landslide susceptibility mapping in Murgul (Artvin), Turkey
Ziya Usta, Halil Akıncı, Alper Tunga Akın
Earth Science Informatics (2024) Vol. 17, Iss. 2, pp. 1459-1481
Open Access | Times Cited: 9
Ecological Security Pattern based on XGBoost-MCR model: A case study of the Three Gorges Reservoir Region
Deliang Sun, Xiaoqing Wu, Haijia Wen, et al.
Journal of Cleaner Production (2024) Vol. 470, pp. 143252-143252
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
Rock Slope Stability Prediction: A Review of Machine Learning Techniques
Arifuggaman Arif, Chunlei Zhang, Mahabub Hasan Sajib, et al.
Geotechnical and Geological Engineering (2025) Vol. 43, Iss. 3
Closed Access
From spatio-temporal landslide susceptibility to landslide risk forecast
Tengfei Wang, Ashok Dahal, Zhice Fang, et al.
Geoscience Frontiers (2023) Vol. 15, Iss. 2, pp. 101765-101765
Open Access | Times Cited: 15
Considering the effect of non-landslide sample selection on landslide susceptibility assessment
Youchen Zhu, Deliang Sun, Haijia Wen, et al.
Geomatics Natural Hazards and Risk (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 4
Assessing Landslide Susceptibility Using Machine Learning and Remote Sensing Data: A Case Study of Southeastern Constantine, Algeria
Zakaria Matougui, Mohamed Yacine Daksi, Mehdi Dib
Lecture notes in networks and systems (2025), pp. 143-155
Closed Access
Machine Learning Method Application to Detect Predisposing Factors to Open-Pit Landslides: The Sijiaying Iron Mine Case Study
Jiang Li, Zhuoying Tan, Naigen Tan, et al.
Land (2025) Vol. 14, Iss. 4, pp. 678-678
Open Access
The determining mechanism of technology catch-up in China's photovoltaic (PV) industry: Machine learning approaches
Xiaohui Zhao, Xiang Cai, Cuiting Jiang, et al.
Journal of Cleaner Production (2024) Vol. 450, pp. 142028-142028
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
A new interpretable prediction framework for step-like landslide displacement
Peng Shao, Hong Wang, Ke Hu, et al.
Stochastic Environmental Research and Risk Assessment (2024) Vol. 38, Iss. 4, pp. 1647-1667
Closed Access | Times Cited: 2
Investigation of Landslide Susceptibility Decision Mechanisms in Different Ensemble-Based Machine Learning Models with Various Types of Factor Data
Jiakai Lu, Chao Ren, Weiting Yue, et al.
Sustainability (2023) Vol. 15, Iss. 18, pp. 13563-13563
Open Access | Times Cited: 6
Influence of high Andean grasslands on landslide reduction in Peru
Franco Cerna Cueva, Katherin Lourdes Uriarte-Barraza, Grecia Isabel Lobaton-Tarazona, et al.
Scientia Agropecuaria (2024) Vol. 15, Iss. 3, pp. 333-348
Open Access | Times Cited: 1
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: 1
Geotechnical and GIS-based environmental factors and vulnerability studies of the Okemesi landslide, Nigeria
Oluwakemi Akintan, Johnson Adedeji Olusola, Olaniyi Patrick Imole, et al.
Regional Sustainability (2023) Vol. 4, Iss. 3, pp. 249-260
Open Access | Times Cited: 3
Remote Sensing and GIS in Landslide Management: An Example from the Kravarsko Area, Croatia
László Podolszki, Igor Karlović
Remote Sensing (2023) Vol. 15, Iss. 23, pp. 5519-5519
Open Access | Times Cited: 3
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
Impact of landslide on geoheritage: Opportunities through integration, geomorphological classification and machine learning
Mohammad Al’Afif, Junun Sartohadi, Guruh Samodra
International Journal of Geoheritage and Parks (2024) Vol. 12, Iss. 2, pp. 333-351
Open Access
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