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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:

Prediction and explanation of debris flow velocity based on multi-strategy fusion Stacking ensemble learning model
Tianlong Wang, Keying Zhang, Zhenghua Liu, et al.
Journal of Hydrology (2024) Vol. 638, pp. 131347-131347
Closed Access | Times Cited: 9

Showing 9 citing articles:

The rheological intelligent constitutive model of debris flow: A new paradigm for integrating mechanics mechanisms with data-driven approaches by combining data mapping and deep learning
Tianxing Ma, Hao Chen, Keying Zhang, et al.
Expert Systems with Applications (2025) Vol. 269, pp. 126405-126405
Closed Access | Times Cited: 2
Intelligent rockburst level prediction model based on swarm intelligence optimization and multi-strategy learner soft voting hybrid ensemble
Qinghong Wang, Tianxing Ma, Shengqi Yang, et al.
Geomechanics and Geophysics for Geo-Energy and Geo-Resources (2025) Vol. 11, Iss. 1
Open Access | Times Cited: 1
Assessment of Peak Particle Velocity of Blast Vibration using Hybrid Soft Computing Approaches
Haiping Yuan, Yangyao Zou, Hengzhe Li, et al.
Journal of Computational Design and Engineering (2025)
Open Access
Accurate estimation of suspended sediment concentration integrated remote sensing information and a novel stacking machine learning model
Xiaotian Fang, Jiahua Zhang, Xiang Yu, et al.
Stochastic Environmental Research and Risk Assessment (2025)
Open Access
Prediction of thermal conductivity of natural rock materials using LLE-transformer-lightGBM model for geothermal energy applications
Yufan Wang, Tianxing Ma, Liangxu Shen, et al.
Energy Reports (2025) Vol. 13, pp. 2516-2530
Closed Access
Modified Herschel–Bulkley–Papanastasiou model considering particle size distribution to debris flow rheological properties
Tianxing Ma, Rui Luo, Liangxu Shen, et al.
Physics of Fluids (2025) Vol. 37, Iss. 2
Closed Access
A novel method for predicting debris flow hazard: a multi-strategy fusion approach based on the light gradient boosting machine framework
Tianlong Wang, Qi Ge, Tianxing Ma, et al.
Stochastic Environmental Research and Risk Assessment (2025)
Closed Access
A New Method for Debris Flow Risk Assessment and Prediction: Tri-Strategy Crested Porcupine Optimizer-Categorical Boosting-Shapley Additive Explanations
Hao Yang, Tianlong Wang, Nikita Igorevich Fomin, et al.
(2024)
Closed Access
Prediction of force chains for dense granular flows using machine learning approach
Ching-Hung Cheng, Cheng-Chuan Lin
Physics of Fluids (2024) Vol. 36, Iss. 8
Closed Access
Short-term power load forecasting based on SKDR hybrid model
Yongliang Yuan, Qingkang Yang, Jianji Ren, et al.
Electrical Engineering (2024)
Closed Access
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