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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 of maximum scour depth at clear water conditions: Multivariate and robust comparative analysis between empirical equations and machine learning approaches using extensive reference metadata
Buddhadev Nandi, Gaurav Patel, Subhasish Das
Journal of Environmental Management (2024) Vol. 354, pp. 120349-120349
Closed Access | Times Cited: 12

Showing 12 citing articles:

Predicting Max Scour Depths near Two-Pier Groups Using Ensemble Machine-Learning Models and Visualizing Feature Importance with Partial Dependence Plots and SHAP
Buddhadev Nandi, Subhasish Das
Journal of Computing in Civil Engineering (2025) Vol. 39, Iss. 2
Closed Access | Times Cited: 2
A Comparative Approach to Understand the Performance of CMIP6 Models for Maximum Temperature near Tropic of Cancer Using Multiple Machine Learning Ensembles
Gaurav Patel, Subhasish Das, Rajib Das
Water Resources Management (2025)
Closed Access | Times Cited: 2
Simulation study on damage behavior of a shallow-buried Foundation bridge under combined action of flood scouring and heavy vehicle load
Tong Wu, Gangping Fan, Caihong Dou, et al.
Ocean Engineering (2025) Vol. 323, pp. 120410-120410
Closed Access
Prediction of local scour depth in bridge piers: Physical information and machine learning based modeling
Rui Wang, Yang Ming, Guorui Feng, et al.
Advances in Structural Engineering (2025)
Closed Access
Multi-method data-driven prediction for maximum scour depth of pile foundations in clay
Song Qin, Wen‐Gang Qi, Ning Wang, et al.
Ocean Engineering (2025) Vol. 327, pp. 121005-121005
Closed Access
Analysis of Erosion Features on Landside Slope of a Levee During Surge Overflow Based on Backpropagation Network Model
Yabo Li, Zhiyong Zhang, Zhiguo He
Sustainable civil infrastructures (2025), pp. 272-278
Closed Access
Predicting scour depth in a meandering channel with spur dike: A comparative analysis of machine learning techniques
Zeeshan Akbar, Nadir Murtaza, Ghufran Ahmed Pasha, et al.
Physics of Fluids (2025) Vol. 37, Iss. 4
Closed Access
Tunnel water inflow prediction using explainable machine learning and augmented partially missing dataset
Ming‐Shaung Ju, Guangzhao Ou, Tao Peng, et al.
Frontiers in Earth Science (2025) Vol. 13
Open Access
Maximum scour depth estimation around side-by-side piers due to spacing effects for sustainable hydraulic infrastructure design
Buddhadev Nandi, Subhasish Das
Next Sustainability (2025) Vol. 5, pp. 100134-100134
Open Access
A novel formula to determine the time to achieve quasi-equilibrium scour around a circular pier
Buddhadev Nandi, Subhasish Das
ISH Journal of Hydraulic Engineering (2025), pp. 1-16
Closed Access
Estimation of Clear Water Flow Induced Maximum Scour Depth Using Random Forest and XGBoost
Buddhadev Nandi, Subhasish Das, S. K. Paul
Lecture notes in mechanical engineering (2025), pp. 81-95
Closed Access
Experimental study on the equilibrium scour pattern around isolated piers of varying diameter and inflow velocity
Harshvardhan Harshvardhan, D. R. Kaushal
Particulate Science And Technology (2025), pp. 1-15
Closed Access
Data-based models to investigate protective piles effects on the scour depth about oblong-shaped bridge pier
Ali Niknam, Mohammad Heidarnejad, Alireza Masjedi, et al.
Results in Engineering (2024) Vol. 23, pp. 102759-102759
Open Access | Times Cited: 2
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