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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:

Identification of groundwater contamination sources and hydraulic parameters based on bayesian regularization deep neural network
Zidong Pan, Wenxi Lu, Yue Fan, et al.
Environmental Science and Pollution Research (2021) Vol. 28, Iss. 13, pp. 16867-16879
Closed Access | Times Cited: 20

Showing 20 citing articles:

Review of machine learning-based surrogate models of groundwater contaminant modeling
Jiannan Luo, Xi Ma, Yefei Ji, et al.
Environmental Research (2023) Vol. 238, pp. 117268-117268
Closed Access | Times Cited: 37
A radial basis deep neural network process using the Bayesian regularization optimization for the monkeypox transmission model
Ayse Nur Akkılıc, Zulqurnain Sabir, Shahid Ahmad Bhat, et al.
Expert Systems with Applications (2023) Vol. 235, pp. 121257-121257
Open Access | Times Cited: 25
Iterative learning control with parameter estimation for non-repetitive time-varying systems
Lei Wang, Ziwei Huangfu, Ruiwen Li, et al.
Journal of the Franklin Institute (2024) Vol. 361, Iss. 3, pp. 1455-1466
Closed Access | Times Cited: 9
Groundwater contamination source estimation based on a refined particle filter associated with a deep residual neural network surrogate
Zidong Pan, Wenxi Lu, Yukun Bai
Hydrogeology Journal (2022) Vol. 30, Iss. 3, pp. 881-897
Closed Access | Times Cited: 24
Designing a Bayesian Regularization Approach to Solve the Fractional Layla and Majnun System
Zulqurnain Sabir, Atef F. Hashem, Adnène Arbi, et al.
Mathematics (2023) Vol. 11, Iss. 17, pp. 3792-3792
Open Access | Times Cited: 11
Bayesian hybrid-kernel machine-learning-assisted sensitivity analysis and sensitivity-relevant inverse modeling for groundwater DNAPL contamination
Zeyu Hou, Ke Zhao, Shuo Wang, et al.
Journal of Hydrology (2024) Vol. 633, pp. 131009-131009
Closed Access | Times Cited: 4
Study on source identification and source-sink relationship of LNAPLs pollution in groundwater by the adaptive cyclic improved iterative process and Monte Carlo stochastic simulation
Zhenbo Chang, Wenxi Lu, Zibo Wang
Journal of Hydrology (2022) Vol. 612, pp. 128109-128109
Closed Access | Times Cited: 17
Randomized physics-informed neural networks for Bayesian data assimilation
Yifei Zong, David A. Barajas‐Solano, Alexandre M. Tartakovsky
Computer Methods in Applied Mechanics and Engineering (2025) Vol. 436, pp. 117670-117670
Open Access
Multi-machine learning methods for rapid and synergistic inversion of groundwater contamination source, hydrogeologic parameter and boundary condition
Chengming Luo, Xihua Wang, Y. Jun Xu, et al.
Journal of Contaminant Hydrology (2025) Vol. 273, pp. 104599-104599
Closed Access
A differential evolutionary Markov chain algorithm with ensemble smoother initial point selection for the identification of groundwater contaminant sources
Zhenbo Chang, Wenxi Lu, Zibo Wang
Journal of Hydrology (2021) Vol. 603, pp. 126918-126918
Closed Access | Times Cited: 23
Recognition of a linear source contamination based on a mixed-integer stacked chaos gate recurrent unit neural network–hybrid sparrow search algorithm
Zidong Pan, Wenxi Lu, Han Wang, et al.
Environmental Science and Pollution Research (2022) Vol. 29, Iss. 22, pp. 33528-33543
Closed Access | Times Cited: 12
Evaluation and Optimization of Heat Extraction Strategies Based on Deep Neural Network in the Enhanced Geothermal System
Jingyi Chen, Tianfu Xu, Xu Liang, et al.
Journal of Energy Engineering (2022) Vol. 149, Iss. 1
Closed Access | Times Cited: 8
Study on the Application of Error Back-Propagation Algorithm Applied to the Student Status Management in Higher Education Institutions
XinXiu Yang
International Journal of Information and Communication Technology Education (2024) Vol. 20, Iss. 1, pp. 1-14
Open Access | Times Cited: 1
Groundwater Remediation Design Underpinned By Coupling Evolution Algorithm With Deep Belief Network Surrogate
Yu Chen, Guodong Liu, Xiaohua Huang, et al.
Water Resources Management (2022) Vol. 36, Iss. 7, pp. 2223-2239
Closed Access | Times Cited: 6
Simultaneous identification of the number, location and release intensity of groundwater contamination sources based on simulation optimization and ensemble surrogate model
Jiuhui Li, Zhengfang Wu, Wenxi Lu, et al.
Water Science & Technology Water Supply (2022) Vol. 22, Iss. 10, pp. 7671-7689
Open Access | Times Cited: 4
A Novel Simulation-Optimization Model Built by FloPy: Pollutant Traceability in a Chemical Park in China
Yitian Liu, Wei Wang, Jianhua Li, et al.
Applied Sciences (2023) Vol. 13, Iss. 19, pp. 10707-10707
Open Access | Times Cited: 2
Advanced utilization of multi-learning algorithm: ensemble super learner to map groundwater potential for potable mineral water
Sanghoon Lee, Dugin Kaown, Eun‐Hee Koh, et al.
Geocarto International (2022) Vol. 37, Iss. 25, pp. 9897-9916
Closed Access | Times Cited: 3
Metal-loss defect depth inversion in oil and gas pipelines based on Bayesian regularisation neural network
Fengmiao TU, Minghui Wei, Jun Liu, et al.
Insight - Non-Destructive Testing and Condition Monitoring (2022) Vol. 64, Iss. 12, pp. 680-687
Closed Access | Times Cited: 1
Hybrid Deep Learning and Sensitivity Operator-Based Algorithm for Identification of Localized Emission Sources
Alexey Penenko, Mikhail Emelyanov, Evgeny V. Rusin, et al.
Mathematics (2023) Vol. 12, Iss. 1, pp. 78-78
Open Access
Designing of a novel radial basis Bayesian regularization neural network scheme for the fractional myeloma bone disease model. (Preprint)
Yolanda Guerrero–Sánchez
(2022)
Closed Access
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