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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:

Hybrid machine learning for pullback force forecasting during horizontal directional drilling
Hongfang Lü, Tom Iseley, John C. Matthews, et al.
Automation in Construction (2021) Vol. 129, pp. 103810-103810
Closed Access | Times Cited: 22

Showing 22 citing articles:

Enhancing the durability of concrete in severely cold regions: Mix proportion optimization based on machine learning
Hongyu Chen, Yuan Cao, Yang Liu, et al.
Construction and Building Materials (2023) Vol. 371, pp. 130644-130644
Closed Access | Times Cited: 44
Robust computational approach to determine condensate liquid viscosity
Omid Hazbeh, Hamzeh Ghorbani, Somayeh Tabasi, et al.
Physics and Chemistry of the Earth Parts A/B/C (2025), pp. 103880-103880
Closed Access | Times Cited: 1
Integrating drilling parameters and machine learning tools to improve real-time porosity prediction of multi-zone reservoirs. Case study: Rhourd Chegga oilfield, Algeria
Abdelhamid Ouladmansour, Ouafi Ameur-Zaimeche, Rabah Kechiched, et al.
Geoenergy Science and Engineering (2023) Vol. 223, pp. 211511-211511
Closed Access | Times Cited: 18
Using an evolutionary heterogeneous ensemble of artificial neural network and multivariate adaptive regression splines to predict bearing capacity in axial piles
Minh-Tu Cao, Ngoc‐Mai Nguyen, Wei‐Chih Wang
Engineering Structures (2022) Vol. 268, pp. 114769-114769
Closed Access | Times Cited: 23
Hybrid machine learning models for predicting short-term wave energy flux
Hongfang Lü, Dongmin Xi, Xin Ma, et al.
Ocean Engineering (2022) Vol. 264, pp. 112258-112258
Closed Access | Times Cited: 15
Leveraging Machine Learning for Pipeline Condition Assessment
Hongfang Lü, Zhao‐Dong Xu, Xulei Zang, et al.
Journal of Pipeline Systems Engineering and Practice (2023) Vol. 14, Iss. 3
Closed Access | Times Cited: 9
An Effective Data-Driven Model for Predicting Energy Consumption of Long-Distance Oil Pipelines
Hongfang Lü, Zhao‐Dong Xu, Mohammadamin Azimi, et al.
Journal of Pipeline Systems Engineering and Practice (2022) Vol. 13, Iss. 2
Closed Access | Times Cited: 12
Intelligent real-time predicting method for rock characterization based on multi-source information integration while drilling
Jun Bai, Sheng Wang, Qiang Xu, et al.
Bulletin of Engineering Geology and the Environment (2023) Vol. 82, Iss. 4
Closed Access | Times Cited: 7
Residual Strength Assessment and Residual Life Prediction of Corroded Pipelines: A Decade Review
Haotian Li, Kun Huang, Zeng Qin, et al.
Energies (2022) Vol. 15, Iss. 3, pp. 726-726
Open Access | Times Cited: 11
Numerical study on mechanical properties of pipeline installed via horizontal directional drilling under static and dynamic traffic loads
Hongfang Lü, Xinmeng Jiang, Zhao-Dong Xu, et al.
Tunnelling and Underground Space Technology (2023) Vol. 136, pp. 105077-105077
Closed Access | Times Cited: 6
Back-calculation of soil parameters from displacement-controlled cavity expansion under geostatic stress by FEM and machine learning
Fernando Patino-Ramirez, Zijie Jay Wang, Duen Horng Chau, et al.
Acta Geotechnica (2022) Vol. 18, Iss. 4, pp. 1755-1768
Open Access | Times Cited: 8
Process-oriented guidelines for systematic improvement of supervised learning research in construction engineering
Vahid Asghari, Mohammad Hossein Kazemi, Mohammadsadegh Shahrokhishahraki, et al.
Advanced Engineering Informatics (2023) Vol. 58, pp. 102215-102215
Closed Access | Times Cited: 4
Ensemble learning approach for accurate virtual borehole prediction in 3D geological modeling
Bingning Guo
International Journal of Digital Earth (2024) Vol. 17, Iss. 1, pp. 1-27
Open Access | Times Cited: 1
Safety Study on Wax Deposition in Crude Oil Pipeline
Bin Yao, Deyin Zhao, Zhi Zhang, et al.
Processes (2021) Vol. 9, Iss. 9, pp. 1572-1572
Open Access | Times Cited: 8
Performance-oriented road structure and material design method based on enhanced XGBoost algorithm
Jiale Li, Zhishuai Zhang, Xuefei Wang
International Journal of Pavement Engineering (2023) Vol. 25, Iss. 1
Closed Access | Times Cited: 2
Corrosion Law of Metal Pipeline in Tahe Oilfield and Application of New Materials
Xiaolong Shi, Zhi Zhang, Lanjie Wu, et al.
Coatings (2021) Vol. 11, Iss. 11, pp. 1269-1269
Open Access | Times Cited: 4
Metal Corrosion Rate Prediction of Small Samples Using an Ensemble Technique
Yang Yang, Pengfei Zheng, Fanru Zeng, et al.
Computer Modeling in Engineering & Sciences (2022) Vol. 134, Iss. 1, pp. 267-291
Open Access | Times Cited: 3
The State-of-the-Art Review on the Drill Pipe Vibration
Jinze Song, Shuai Liu, Yufa He, et al.
Geoenergy Science and Engineering (2024), pp. 213337-213337
Closed Access
Stress and Pressure Pulsation Analysis of Low Temperature Compressor Piping System in LNG Vaporizing Station
Baoqing Wang, Zhi Zhang, Kun Huang, et al.
Energies (2022) Vol. 15, Iss. 5, pp. 1874-1874
Open Access | Times Cited: 2
A Method for Short-Term Prediction of the Metro Station’s Individual Energy Consumption Item Based on G-ACO-BP Model
Guorong Sha, Qing Qian
Computational Intelligence and Neuroscience (2021) Vol. 2021, pp. 1-10
Open Access | Times Cited: 2
Lightweight Design and Dynamics Analysis of ZYL‐15000D Directional Drill Reducer
Xiaohong Zhao, Xianguo Yan, Zhi Chen, et al.
Advances in Materials Science and Engineering (2021) Vol. 2021, Iss. 1
Open Access | Times Cited: 2
Health Monitoring Technology Based on Artificial Intelligence
Hongfang Lü, Zhao-Dong Xu, Tom Iseley, et al.
(2023), pp. 117-212
Closed Access
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