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:

Enhanced oil recovery by nanoparticles flooding: From numerical modeling improvement to machine learning prediction
Budoor Alwated, Mohamed F. El‐Amin
ADVANCES IN GEO-ENERGY RESEARCH (2021) Vol. 5, Iss. 3, pp. 297-317
Open Access | Times Cited: 33

Showing 1-25 of 33 citing articles:

Machine learning framework for estimating CO2 adsorption on coalbed for carbon capture, utilization, and storage applications
Amer Alanazi, Ahmed Farid Ibrahim, Saleh Bawazer, et al.
International Journal of Coal Geology (2023) Vol. 275, pp. 104297-104297
Closed Access | Times Cited: 29

Data-driven production optimization using particle swarm algorithm based on the ensemble-learning proxy model
Shuyi Du, Xiangguo Zhao, Chiyu Xie, et al.
Petroleum Science (2023) Vol. 20, Iss. 5, pp. 2951-2966
Open Access | Times Cited: 22

Evaluation of hydraulic fracturing effect on coalbed methane reservoir based on deep learning method considering physical constraints
Hongqing Song, Shuyi Du, Jiaosheng Yang, et al.
Journal of Petroleum Science and Engineering (2022) Vol. 212, pp. 110360-110360
Closed Access | Times Cited: 28

Machine Learning Prediction of Nanoparticle Transport with Two-Phase Flow in Porous Media
Mohamed F. El‐Amin, Budoor Alwated, Hussein Hoteit
Energies (2023) Vol. 16, Iss. 2, pp. 678-678
Open Access | Times Cited: 12

Effect of TiO2–SiO2 hybrid nanofluids on enhanced oil recovery process under different wettability conditions
Afshin Goharzadeh, Yap Yit Fatt, Jitendra S. Sangwai
Capillarity (2023) Vol. 8, Iss. 1, pp. 1-10
Open Access | Times Cited: 12

A CO2-responsive Janus SiO2 nanofluid: Integration of enhanced oil recovery and demulsification
Kunpeng Hou, Hairong Wu, Guorui Xu, et al.
Journal of Molecular Liquids (2024) Vol. 412, pp. 125832-125832
Closed Access | Times Cited: 4

Enhanced oil recovery potential of alkaline-nanofluid flooding in a Niger Delta reservoir core sample
Adeolu J. Alawode, Tuyenikelao T. Nekwaya
Deleted Journal (2025), pp. 100054-100054
Closed Access

Spatial analysis of hyperspectral images for detecting adulteration levels in bon-sorkh (Allium jesdianum L.) seeds: application of voting classifiers
Golshid Fathi, Seyed Ahmad Mireei, Mehrnoosh Jafari, et al.
Smart Agricultural Technology (2025) Vol. 10, pp. 100810-100810
Open Access

Developing Robust Machine Learning Techniques to Predict Oil Recovery: A Comprehensive Field and Experimental Study
Wahib Yahya, Baolin Yang, Ayman Mutahar AlRassas, et al.
Geoenergy Science and Engineering (2025), pp. 213853-213853
Closed Access

Multi-parameter screening study on the static properties of nanoparticle-stabilized CO2 foam near the CO2 critical point
Xiakai Song, Xincheng Cui, Luming Jiang, et al.
Arabian Journal of Chemistry (2022) Vol. 15, Iss. 3, pp. 103676-103676
Open Access | Times Cited: 18

Physics-informed machine learning for solving partial differential equations in porous media
Liqun Shan, Chengqian Liu, Yanchang Liu, et al.
ADVANCES IN GEO-ENERGY RESEARCH (2023) Vol. 8, Iss. 1, pp. 37-44
Open Access | Times Cited: 10

Application of Machine Learning Approaches in Particle Tracking Model to Estimate Sediment Transport in Natural Streams
Saman Baharvand, Habib Ahmari
Water Resources Management (2024) Vol. 38, Iss. 8, pp. 2905-2934
Open Access | Times Cited: 3

Pore pressure prediction assisted by machine learning models combined with interpretations: A case study of an HTHP gas field, Yinggehai Basin
Xiaobo Zhao, Xiaojun Chen, Zhangjian Lan, et al.
Geoenergy Science and Engineering (2023) Vol. 229, pp. 212114-212114
Closed Access | Times Cited: 9

Lithofacies identification of shale formation based on mineral content regression using LightGBM algorithm: A case study in the Luzhou block, South Sichuan Basin, China
Yi Liu, Runhua Zhu, Shuo Zhai, et al.
Energy Science & Engineering (2023) Vol. 11, Iss. 11, pp. 4256-4272
Open Access | Times Cited: 9

Phase transitions of the synergistic effects of Ba2+O2TiO2/Mn4+O6 nanofluid with integration of electromagnetic field for improved oil recovery
Surajudeen Sikiru, Hassan Soleimani, Nejat Rahmanian, et al.
Journal of Materials Science (2024) Vol. 59, Iss. 27, pp. 12325-12346
Closed Access | Times Cited: 2

Performance evaluation of nanosilica derived from agro-waste as lost circulation agent in water-based mud
Augustine Agi, Jeffrey O. Oseh, Afeez Gbadamosi, et al.
Petroleum Research (2022) Vol. 8, Iss. 2, pp. 256-269
Open Access | Times Cited: 10

Wormholes effect in carbonate acid enhanced oil recovery methods
Hamad Alarji, Stuart Clark, Klaus Regenauer‐Lieb
ADVANCES IN GEO-ENERGY RESEARCH (2022) Vol. 6, Iss. 6, pp. 492-501
Open Access | Times Cited: 9

Inhibition of asphaltene deposition by Al2O3 nanoparticles during CO2 injection
Ali Amraeiniya, Alireza Rahimi, Nadia Nikpour, et al.
Petroleum Research (2023) Vol. 8, Iss. 4, pp. 499-504
Open Access | Times Cited: 5

Modeling of permeability impairment dynamics in porous media: A machine learning approach
Ahmed Elrahmani, Riyadh I. Al‐Raoush, Mohamed Arselene Ayari
Powder Technology (2023) Vol. 433, pp. 119272-119272
Open Access | Times Cited: 4

Gas-aphron drilling fluids enhanced with silica nanoparticles and biosurfactant
Amir Tabzar, David A. Wood
Elsevier eBooks (2024), pp. 325-354
Closed Access | Times Cited: 1

Machine-Learning-Assisted Identification of Steam Channeling after Cyclic Steam Stimulation in Heavy-Oil Reservoirs
Yu Li, Huiqing Liu, Peng Jiao, et al.
Geofluids (2023) Vol. 2023, pp. 1-13
Open Access | Times Cited: 3

Review of Marginal Oil Resources in Highly Depleted Reservoirs
Jun Pan, Yingfeng Meng, Ning Sun, et al.
Processes (2022) Vol. 10, Iss. 2, pp. 245-245
Open Access | Times Cited: 5

Comparison of Facial Palsy Cases before and during the Pandemic Coronavirus Disease-2019
Hasan Armağan Uysal, Halil Güllüoğlu
Bakirkoy Tip Dergisi / Medical Journal of Bakirkoy (2023) Vol. 19, Iss. 2, pp. 156-162
Open Access | Times Cited: 2

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