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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.

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Showing 16 citing articles:

The role of artificial intelligence and digital technologies in dam engineering: Narrative review and outlook
Mohammad Amin Hariri‐Ardebili, Golsa Mahdavi, Larry K. Nuss, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 126, pp. 106813-106813
Closed Access | Times Cited: 44
Prediction of crop yield in India using machine learning and hybrid deep learning models
Krithikha Sanju Saravanan, Velammal Bhagavathiappan
Acta Geophysica (2024) Vol. 72, Iss. 6, pp. 4613-4632
Closed Access | Times Cited: 7
Estimation and interpretation of equilibrium scour depth around circular bridge piers by using optimized XGBoost and SHAP
Nasrin Eini, Sayed M. Bateni, Changhyun Jun, et al.
Engineering Applications of Computational Fluid Mechanics (2023) Vol. 17, Iss. 1
Open Access | Times Cited: 17
Displacement observation data-based structural health monitoring of concrete dams: A state-of-art review
Shaowei Wang, Chongshi Gu, Yi Liu, et al.
Structures (2024) Vol. 68, pp. 107072-107072
Closed Access | Times Cited: 5
Machine learning for better prediction of seepage flow through embankment dams: Gaussian process regression versus SVR and RVM
Ala Bouchehed, Fares Laouacheria, Salim Heddam, et al.
Environmental Science and Pollution Research (2023) Vol. 30, Iss. 9, pp. 24751-24763
Closed Access | Times Cited: 13
A Prediction Model and Factor Importance Analysis of Multiple Measuring Points for Concrete Face Rockfill Dam during the Operation Period
Lei Shao, Ting Wang, Youde Wang, et al.
Water (2023) Vol. 15, Iss. 6, pp. 1081-1081
Open Access | Times Cited: 9
A review of artificial intelligence methods for predicting gravity dam seepage, challenges and way-out
Priyanka Ashok Garsole, Shantini A. Bokil, Vijendra Kumar, et al.
AQUA - Water Infrastructure Ecosystems and Society (2023) Vol. 72, Iss. 7, pp. 1228-1248
Open Access | Times Cited: 8
Hydraulic and Hydroclimatic impact on dam seepage of civil and structural mechanisms with application of deep learning models
Muhammad Ishfaque, Yu-Long Luo, Qianwei Dai, et al.
Results in Engineering (2024) Vol. 23, pp. 102420-102420
Open Access | Times Cited: 1
Comparative analysis of twelve transfer learning models for the prediction and crack detection in concrete dams, based on borehole images
Umer Sadiq Khan, Muhammad Ishfaque, Saif Ur Rehman Khan, et al.
Frontiers of Structural and Civil Engineering (2024)
Closed Access | Times Cited: 1
Effects of Earth–Rock Dam Heterogeneity on Seismic Wavefield Characteristics
Hao Xu, Xinjiang Yu, Fei Cheng, et al.
Energies (2023) Vol. 16, Iss. 5, pp. 2423-2423
Open Access | Times Cited: 4
Daily Scale Streamflow Forecasting Based-Hybrid Gradient Boosting Machine Learning Model
Hüseyin Çağan Kılınç, Iman Ahmadianfar, Vahdettin Demir, et al.
Research Square (Research Square) (2023)
Open Access | Times Cited: 3
A Combination of Chaotic Harris Hawks Optimizer‐Stacking Model and Kernel Density Estimation Method for Pressing Force Prediction During Slab Sizing Press Process
Wenteng Wu, Wen Peng, Wenbo Wang, et al.
steel research international (2023) Vol. 94, Iss. 12
Closed Access | Times Cited: 2
Transformer based neural network for daily ground settlement prediction of foundation pit considering spatial correlation
Xiaofeng Wu, Yang Song, Di Zhang, et al.
PLoS ONE (2023) Vol. 18, Iss. 11, pp. e0294501-e0294501
Open Access | Times Cited: 2
Thermodynamic Analysis of Coupled Seepage and Thermal Conduction Effects in Earth-Rock Dams
Pan Liu, Kui Wang, H. K. Chen
International Journal of Heat and Technology (2024) Vol. 42, Iss. 2
Open Access
Identifying major climate extreme indices driver of stream flow discharge variability using machine learning and SHaply Additive Explanation
Zaharaddeen Isa, Auwal F. Abdussalam, B. A. Sawa, et al.
Sustainable Water Resources Management (2023) Vol. 9, Iss. 4
Closed Access | Times Cited: 1
Tunnel Geohazard Evaluation Using Improved Seismic Time-Reversal Mirror
Lei Chen, Rui Wang, Zhifei Gong, et al.
Journal of Environmental and Engineering Geophysics (2023) Vol. 28, Iss. 3, pp. 113-123
Closed Access | Times Cited: 1
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