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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:

Deep learning based optimization under uncertainty for surfactant-enhanced DNAPL remediation in highly heterogeneous aquifers
Jianwen Du, Xiaoqing Shi, Shaoxing Mo, et al.
Journal of Hydrology (2022) Vol. 608, pp. 127639-127639
Closed Access | Times Cited: 11

Showing 11 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: 35
Integrating artificial intelligence, machine learning, and deep learning approaches into remediation of contaminated sites: A review
Jagadeesh Kumar Janga, Krishna R. Reddy, K. V. N. S. Raviteja
Chemosphere (2023) Vol. 345, pp. 140476-140476
Closed Access | Times Cited: 33
A convolutional neural network-based proxy model for field production prediction and history matching
Bingyang Yan, Zhi Zhong, Bin Bai
Gas Science and Engineering (2024) Vol. 122, pp. 205219-205219
Closed Access | Times Cited: 5
Hydrological Droughts of 2017–2018 Explained by the Bayesian Reconstruction of GRACE(‐FO) Fields
Shaoxing Mo, Yulong Zhong, Ehsan Forootan, et al.
Water Resources Research (2022) Vol. 58, Iss. 9
Open Access | Times Cited: 20
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: 3
Mass transfer during surfactant-enhanced DNAPL remediation: Pore-scale experiments and new correlation
Zejun Wang, Zhibing Yang, Ran Hu, et al.
Journal of Hydrology (2023) Vol. 621, pp. 129586-129586
Closed Access | Times Cited: 9
Quantitative expression of LNAPL pollutant concentrations in capillary zone by coupling multiple environmental factors based on random forest algorithm
Kexue Han, Rui Zuo, Donghui Xu, et al.
Journal of Hazardous Materials (2024) Vol. 479, pp. 135695-135695
Closed Access | Times Cited: 3
Uncertainty quantification of CO2 plume migration in highly channelized aquifers using probabilistic convolutional neural networks
Feng Li, Shaoxing Mo, Alexander Y. Sun, et al.
Advances in Water Resources (2023) Vol. 183, pp. 104607-104607
Closed Access | Times Cited: 4
LDI-MVFNet: A Multi-view fusion deep network for leachate distribution imaging
Xiaochen Sun, Qian Xu, Changxin Nai, et al.
Waste Management (2022) Vol. 157, pp. 180-189
Closed Access | Times Cited: 6
Research Hotspots and Trend Analysis in Modeling Groundwater Dense Nonaqueous Phase Liquid Contamination Based on Bibliometrics
Mengdie Ju, Xiang Li, R. Wu, et al.
Water (2024) Vol. 16, Iss. 19, pp. 2840-2840
Open Access
A deep-learning-based multiobjective optimization for the design of in-situ uranium leaching system under multiple uncertainties
Wenjie Qiu, Yun Yang, Jian Song, et al.
Journal of Hydrology (2024), pp. 132576-132576
Closed Access
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