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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 hybrid machine-learning model to map glacier-related debris flow susceptibility along Gyirong Zangbo watershed under the changing climate
Chenchen Qiu, Lijun Su, Qiang Zou, et al.
The Science of The Total Environment (2021) Vol. 818, pp. 151752-151752
Open Access | Times Cited: 41

Showing 1-25 of 41 citing articles:

A novel deep learning framework for landslide susceptibility assessment using improved deep belief networks with the intelligent optimization algorithm
Shaoqiang Meng, Zhenming Shi, Gang Li, et al.
Computers and Geotechnics (2024) Vol. 167, pp. 106106-106106
Closed Access | Times Cited: 26
Machine learning: An accelerator for the exploration and application of advanced metal-organic frameworks
Ruolin Du, R. C. Xin, Han Wang, et al.
Chemical Engineering Journal (2024) Vol. 490, pp. 151828-151828
Closed Access | Times Cited: 19
A Comparative Analysis of Certainty Factor-Based Machine Learning Methods for Collapse and Landslide Susceptibility Mapping in Wenchuan County, China
Xinyue Yuan, Chao Liu, Ruihua Nie, et al.
Remote Sensing (2022) Vol. 14, Iss. 14, pp. 3259-3259
Open Access | Times Cited: 42
Comparison of debris flow susceptibility assessment methods: support vector machine, particle swarm optimization, and feature selection techniques
Haijun Zhao, Aihua Wei, Fengshan Ma, et al.
Journal of Mountain Science (2024) Vol. 21, Iss. 2, pp. 397-412
Closed Access | Times Cited: 9
Debris-Flow Watersheds and Fans: Morphology, Sedimentology and Dynamics
Tjalling de Haas, Carie‐Ann Lau, Dario Ventra
Springer eBooks (2024), pp. 9-73
Closed Access | Times Cited: 7
Debris flow susceptibility mapping in alpine canyon region: a case study of Nujiang Prefecture
Yimin Li, Wenxue Jiang, Xianjie Feng, et al.
Bulletin of Engineering Geology and the Environment (2024) Vol. 83, Iss. 5
Closed Access | Times Cited: 6
Economic Risk Assessment of Future Debris Flows by Machine Learning Method
Chenchen Qiu, Lijun Su, Alessandro Pasuto, et al.
International Journal of Disaster Risk Science (2024) Vol. 15, Iss. 1, pp. 149-164
Open Access | Times Cited: 5
Understanding of landslides induced by 2022 Luding earthquake, China
Bo Zhao, Lijun Su, Chenchen Qiu, et al.
Journal of Rock Mechanics and Geotechnical Engineering (2024)
Open Access | Times Cited: 5
Inventory of Historical and Recent Earthquake-Triggered Landslides and Assessment of Related Susceptibility by GIS-Based Analytic Hierarchy Process: The Case of Cephalonia (Ionian Islands, Western Greece)
Spyridon Mavroulis, Michalis Diakakis, Haralambos Kranis, et al.
Applied Sciences (2022) Vol. 12, Iss. 6, pp. 2895-2895
Open Access | Times Cited: 21
Debris-flow susceptibility assessment in Dongchuan using stacking ensemble learning including multiple heterogeneous learners with RFE for factor optimization
Kun Li, Junsan Zhao, Yilin Lin
Natural Hazards (2023) Vol. 118, Iss. 3, pp. 2477-2511
Open Access | Times Cited: 13
Heterogeneous catalysis mediated by light, electricity and enzyme via machine learning: Paradigms, applications and prospects
Wentao Zhang, Wenguang Huang, Jie Tan, et al.
Chemosphere (2022) Vol. 308, pp. 136447-136447
Closed Access | Times Cited: 19
Spatio-temporal changes of glaciers, geomorphology, and meteorological influences on debris flow in the alpine environment: insights from a case study in the Hopar Nagar Valley, Northern Pakistan
Abrar Hussain, Jinfeng Liu, Muzaffar Ali, et al.
Geomatics Natural Hazards and Risk (2025) Vol. 16, Iss. 1
Open Access
An integrated method for assessing vulnerability of buildings caused by debris flows in mountainous areas
Chenchen Qiu, Xueyu Geng
Natural hazards and earth system sciences (2025) Vol. 25, Iss. 2, pp. 709-726
Open Access
Controls of Morphometric and Climatic Catchment Characteristics on Debris Flow and Flood Hazard on Alluvial Fans in High Mountain Asia: A Machine Learning Approach
Varvara O. Bazilova, Tjalling de Haas, Walter W. Immerzeel
Journal of Geophysical Research Earth Surface (2025) Vol. 130, Iss. 2
Open Access
Disaster attributes and distribution laws of debris flows in the upper Parlung Zangbo River
Guisheng Hu, Xiangzhen Xia, Shufeng Tian
Natural Hazards (2025)
Closed Access
Probability mapping of debris flows triggered by multiple mechanisms in the Himalayas
Bin Zhou, Qiang ZOU, Hu Jiang, et al.
International Journal of Disaster Risk Reduction (2025), pp. 105444-105444
Closed Access
Debris-flow susceptibility assessment using deep learning algorithms with GeoDetector for factor optimization
Kun Li, Junsan Zhao, Guoping Chen, et al.
Bulletin of Engineering Geology and the Environment (2025) Vol. 84, Iss. 6
Closed Access
Estimation of landslide volume by machine learning and remote sensing techniques in Himalayan regions
Chong Xu, Congchao Bian, Teng Yu, et al.
Landslides (2025)
Open Access
Long-term dynamics of sediment and their potential indication for debris flow initiation in Wenchuan seismic area
Wen Zhang, Wankun Li, Chen Cao, et al.
Bulletin of Engineering Geology and the Environment (2025) Vol. 84, Iss. 6
Closed Access
Debris Flow Susceptibility Evaluation—A Review
Ankit Kumar, Raju Sarkar
Iranian Journal of Science and Technology Transactions of Civil Engineering (2022) Vol. 47, Iss. 3, pp. 1277-1292
Closed Access | Times Cited: 15
Comparison of Machine Learning and Traditional Statistical Methods in Debris Flow Susceptibility Assessment: A Case Study of Changping District, Beijing
Feifan Gu, Jianping Chen, Xiaohui Sun, et al.
Water (2023) Vol. 15, Iss. 4, pp. 705-705
Open Access | Times Cited: 9
Dependence of debris flow susceptibility maps on sampling strategy with data-driven grid-based model
Ning Jiang, Fenghuan Su, Ruilong Wei, et al.
Ecological Indicators (2024) Vol. 166, pp. 112534-112534
Open Access | Times Cited: 3
An AI-Based Method for Estimating the Potential Runout Distance of Post-Seismic Debris Flows
Chenchen Qiu, Lijun Su, Congchao Bian, et al.
International Journal of Disaster Risk Science (2024) Vol. 15, Iss. 4, pp. 608-621
Open Access | Times Cited: 3
A framework for identifying priority areas through integrated eco-environmental risk assessment for a holistic watershed management approach
Hualin Li, Shouhong Zhang, Jianjun Zhang, et al.
Ecological Indicators (2023) Vol. 146, pp. 109919-109919
Open Access | Times Cited: 8
Research of Deformation and Soil Moisture in Loess Landslide Simultaneous Retrieved with Ground-Based GNSS
Xin Zhou, Shuangcheng Zhang, Qin Zhang, et al.
Remote Sensing (2022) Vol. 14, Iss. 22, pp. 5687-5687
Open Access | Times Cited: 12
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