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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:

Optimal Bayesian experimental design for subsurface flow problems
Alexadner Tarakanov, Ahmed H. Elsheikh
Computer Methods in Applied Mechanics and Engineering (2020) Vol. 370, pp. 113208-113208
Open Access | Times Cited: 17

Showing 17 citing articles:

A Novel Deep Learning Approach for Data Assimilation of Complex Hydrological Systems
Jiangjiang Zhang, Chenglong Cao, Tongchao Nan, et al.
Water Resources Research (2024) Vol. 60, Iss. 2
Open Access | Times Cited: 15
Unfavorable geology recognition in front of shallow tunnel face using machine learning
Chenyang Zhao, Elham Mahmoudi, Maomao Luo, et al.
Computers and Geotechnics (2023) Vol. 157, pp. 105313-105313
Closed Access | Times Cited: 26
Information‐Driven Sequential Inversion for Transient Hydraulic Tomography
Prem Chand Muraharirao, B. V. N. P. Kambhammettu, Ramdas Pinninti, et al.
Ground Water (2025)
Closed Access
A new framework for experimental design using Bayesian Evidential Learning: The case of wellhead protection area
Robin Thibaut, Eric Laloy, Thomas Hermans
Journal of Hydrology (2021) Vol. 603, pp. 126903-126903
Open Access | Times Cited: 25
Comparing Well and Geophysical Data for Temperature Monitoring Within a Bayesian Experimental Design Framework
Robin Thibaut, Nicolas Compaire, Nolwenn Lesparre, et al.
Water Resources Research (2022) Vol. 58, Iss. 11
Open Access | Times Cited: 17
Variational Bayesian approximation of inverse problems using sparse precision matrices
Jan Povala, Ieva Kazlauskaite, Eky Febrianto, et al.
Computer Methods in Applied Mechanics and Engineering (2022) Vol. 393, pp. 114712-114712
Open Access | Times Cited: 15
Simplified Algorithms for Adaptive Experiment Design in Parameter Estimation
R. D. McMichael, Sean M. Blakley
Physical Review Applied (2022) Vol. 18, Iss. 5
Open Access | Times Cited: 12
Efficient Green Enzymatic Synthesis of Lipophilic Piperic Acid Esters By Immobilized Rhizopus oryzae Lipase: Optimization and Antioxidant Activities
Amira Mahfoudhi, Sameh Ben Mabrouk, Bilel Hadrich, et al.
Catalysis Letters (2024) Vol. 154, Iss. 8, pp. 4283-4301
Closed Access | Times Cited: 2
A Deep Learning‐Based Data Assimilation Approach to Characterizing Coastal Aquifers Amid Non‐Linearity and Non‐Gaussianity Challenges
Chenglong Cao, Jiangjiang Zhang, Gan Wei, et al.
Water Resources Research (2024) Vol. 60, Iss. 7
Open Access | Times Cited: 2
Optimized arrays for electrical resistivity tomography survey using Bayesian experimental design
Siyuan Qiang, Xiaoqing Shi, Xueyuan Kang, et al.
Geophysics (2022) Vol. 87, Iss. 4, pp. E189-E203
Open Access | Times Cited: 9
Multimodal information gain in Bayesian design of experiments
Quan Long
Computational Statistics (2021) Vol. 37, Iss. 2, pp. 865-885
Open Access | Times Cited: 10
A Novel Deep Learning Approach for Data Assimilation of Complex Hydrological Systems
Jiangjiang Zhang, Chenglong Cao, Tongchao Nan, et al.
Authorea (Authorea) (2023)
Open Access | Times Cited: 2
Information-Driven Sequential Inversion for Transient Hydraulic Tomography
Prem Chand Muraharirao, BVN P Kambhammettu, Ramdas Pinninti, et al.
(2024)
Closed Access
A Deep Learning-Based Data Assimilation Approach to Characterizing Coastal Aquifers Amid Non-linearity and Non-Gaussianity Challenges
Chenglong Cao, Jiangjiang Zhang, Gan Wei, et al.
Authorea (Authorea) (2024)
Open Access
Comparing Well and Geophysical Data for Temperature Monitoring within a Bayesian Experimental Design Framework
Robin Thibaut, Nicolas Compaire, Nolwenn Lesparre, et al.
EarthArXiv (California Digital Library) (2023)
Open Access | Times Cited: 1
Machine Learning for Bayesian Experimental Design in the Subsurface
Robin Thibaut
Authorea (Authorea) (2023)
Open Access | Times Cited: 1
Multimodal Information Gain in Bayesian Design of Experiments
Quan Long
arXiv (Cornell University) (2021)
Open Access
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