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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:

Insights to surfactant huff-puff design in carbonate reservoirs based on machine learning modeling
Ya Yao, Yue Qiu, Yue Cui, et al.
Chemical Engineering Journal (2022) Vol. 451, pp. 138022-138022
Open Access | Times Cited: 29

Showing 1-25 of 29 citing articles:

Transformer-based deep learning models for adsorption capacity prediction of heavy metal ions toward biochar-based adsorbents
Zeeshan Haider Jaffari, Ather Abbas, Chang‐Min Kim, et al.
Journal of Hazardous Materials (2023) Vol. 462, pp. 132773-132773
Closed Access | Times Cited: 41
Effect of reservoir characteristics and chemicals on filtration property of water-based drilling fluid in unconventional reservoir and mechanism disclosure
Qiang Li, Fuling Wang, Yanling Wang, et al.
Environmental Science and Pollution Research (2023) Vol. 30, Iss. 19, pp. 55034-55043
Closed Access | Times Cited: 39
Leveraging machine learning in porous media
Mostafa Delpisheh, Benyamin Ebrahimpour, Abolfazl Fattahi, et al.
Journal of Materials Chemistry A (2024) Vol. 12, Iss. 32, pp. 20717-20782
Open Access | Times Cited: 9
Artificial neural networks for insights into adsorption capacity of industrial dyes using carbon-based materials
Sara Iftikhar, Nallain Zahra, Fazila Rubab, et al.
Separation and Purification Technology (2023) Vol. 326, pp. 124891-124891
Closed Access | Times Cited: 22
Micromixing Performance and Residence Time Distribution in a Miniaturized Magnetic Reactor: Experimental Investigation and Machine Learning Modeling
Qingchuan Chen, Jian Deng, Guangsheng Luo
Industrial & Engineering Chemistry Research (2023) Vol. 62, Iss. 8, pp. 3577-3591
Closed Access | Times Cited: 18
A comprehensive review on sustainable surfactants from CNSL: chemistry, key applications and research perspectives
Veeramanoharan Ashokkumar, Seok Chan Kim
RSC Advances (2024) Vol. 14, Iss. 35, pp. 25429-25471
Open Access | Times Cited: 7
Elite male table tennis matches diagnosis using SHAP and a hybrid LSTM–BPNN algorithm
Honglin Song, Yutao Li, Zou Xiao-feng, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 12
New insight into viscosity prediction of imidazolium-based ionic liquids and their mixtures with machine learning models
Amir Hossein Sheikhshoaei, Ali Sanati
Research Square (Research Square) (2025)
Closed Access
Probabilistic prediction of phosphate ion adsorption onto biochar materials using a large dataset and online deployment
Sara Iftikhar, Rehan Ishtiaq, Nallain Zahra, et al.
Chemosphere (2024) Vol. 370, pp. 144031-144031
Closed Access | Times Cited: 3
Investigation and Optimization of EOR Screening by Implementing Machine Learning Algorithms
Shengshuai Su, Na Zhang, Peng Wang, et al.
Applied Sciences (2023) Vol. 13, Iss. 22, pp. 12267-12267
Open Access | Times Cited: 7
Estimating Oil Recovery Efficiency of Carbonated Water Injection with Supervised Machine Learning Paradigms and Implications for Uncertainty Analysis
Joshua Nsiah Turkson, Muhammad Aslam Md Yusof, Ingebret Fjelde, et al.
(2024)
Closed Access | Times Cited: 2
Screening structure and predicting toxicity of pesticide adjuvants using MD simulation and machine learning for minimizing environmental impacts
Zhenping Bao, Rui Liu, Yanling Wu, et al.
The Science of The Total Environment (2024) Vol. 942, pp. 173697-173697
Closed Access | Times Cited: 2
Predicting interfacial tension in brine-hydrogen/cushion gas systems under subsurface conditions: Implications for hydrogen geo-storage
Mostafa Hosseini, Yuri Leonenko
International Journal of Hydrogen Energy (2024) Vol. 91, pp. 1394-1406
Open Access | Times Cited: 2
Microscopic plugging adjustment mechanism in a novel heterogeneous combined flooding system
Lihui Wang, Siyuan Li, Ruibo Cao, et al.
Energy Reports (2022) Vol. 8, pp. 15350-15364
Open Access | Times Cited: 8
Descriptive Statistical Analysis of Experimental Data for Wettability Alteration with Smart Water Flooding in Carbonate Reservoirs
Muhammad Ali Buriro, Mingzhen Wei, Baojun Bai, et al.
SPE Western Regional Meeting (2024)
Closed Access | Times Cited: 1
Experimental and Numerical Simulation Study on Enhanced Oil Recovery by N2-Assisted Water Huff-n-Puff in a Tight Oil Reservoir
Qiao Fan, Mingliang Luo, Yun Bai, et al.
Geoenergy Science and Engineering (2024) Vol. 241, pp. 213133-213133
Closed Access | Times Cited: 1
Insights into predicting equilibrium conditions of clathrate hydrates of methane + water-soluble hydrate former
Mostafa Hosseini, Richard Boudreault, Yuri Leonenko
Fuel (2024) Vol. 384, pp. 133945-133945
Open Access | Times Cited: 1
Estimating Oil Recovery Efficiency of Carbonated Water Injection with Supervised Machine Learning Paradigms and Implications for Uncertainty Analysis
Joshua Nsiah Turkson, Muhammad Aslam Md Yusof, Ingebret Fjelde, et al.
Chemometrics and Intelligent Laboratory Systems (2024), pp. 105303-105303
Closed Access | Times Cited: 1
Synthesis and characterization of chitosan-based graft copolymers with temperature-switchable and self-adaptive plugging performance for drilling in microporous formation
Ming Lei, Weian Huang, Yuanhui Tong, et al.
Journal of Molecular Liquids (2022) Vol. 366, pp. 120246-120246
Closed Access | Times Cited: 7
How to improve the success of bank telemarketing? Prediction and interpretability analysis based on machine learning
Chi Xie, Jiale Zhang, You Zhu, et al.
Computers & Industrial Engineering (2022) Vol. 175, pp. 108874-108874
Closed Access | Times Cited: 7
Stability Analysis of Anionic-CO2-Soluble Surfactant Di-(2-ethylhexyl) Sodium Sulfosuccinate-Assisted Oily Foam Based on Statistical Analysis of Bubble Dynamic Characteristics
Tianhan Xu, Jian Wang, Yuhao Lu, et al.
Langmuir (2023) Vol. 39, Iss. 44, pp. 15441-15449
Closed Access | Times Cited: 3
A mechanistic model for minimizing pressure loss in the wellbore during drilling by considering the effects of cuttings
Baixue Li, Xueying Wang, Feifei Zhang, et al.
Frontiers in Earth Science (2023) Vol. 10
Open Access | Times Cited: 2
Intelligent Method to Optimize the Frequency Modulation for Beam Pumping System Based on Deep Reinforcement Learning
Ruichao Zhang, Dechun Chen, Liangfei Xiao
ACS Omega (2023) Vol. 8, Iss. 10, pp. 9475-9485
Open Access | Times Cited: 2
Pattern Recognition for Wettability Alteration with Surfactants in Carbonate Reservoirs by Using Machine Learning
Yanbin Yao, Mingji Wei, Muhammad Ali, et al.
SPE Improved Oil Recovery Conference (2024)
Closed Access
Prediction of Surfactant Performance from Surfactant Huff-Puff in Carbonate Reservoirs Using a Data-Driven Approach and Desktop Application Development
Yanqing Yao, Mingji Wei, Yue Cui, et al.
SPE Western Regional Meeting (2024)
Closed Access
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