OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Data-Driven Connectionist Models for Performance Prediction of Low Salinity Waterflooding in Sandstone Reservoirs
Afshin Tatar, Ingkar A. Askarova, Ali Shafiei, et al.
ACS Omega (2021) Vol. 6, Iss. 47, pp. 32304-32326
Open Access | Times Cited: 15

Showing 15 citing articles:

Machine-learning-based prediction of oil recovery factor for experimental CO2-Foam chemical EOR: Implications for carbon utilization projects
Hung Vo Thanh, Danial Sheini Dashtgoli, Hemeng Zhang, et al.
Energy (2023) Vol. 278, pp. 127860-127860
Open Access | Times Cited: 41

A critical review on low salinity waterflooding for enhanced oil recovery: Experimental studies, simulations, and field applications
Grant Charles Mwakipunda, Rui Jia, Melckzedeck Michael Mgimba, et al.
Geoenergy Science and Engineering (2023) Vol. 227, pp. 211936-211936
Closed Access | Times Cited: 26

Artificial neural network, support vector machine, decision tree, random forest, and committee machine intelligent system help to improve performance prediction of low salinity water injection in carbonate oil reservoirs
Ali Shafiei, Afshin Tatar, Mahsheed Rayhani, et al.
Journal of Petroleum Science and Engineering (2022) Vol. 219, pp. 111046-111046
Closed Access | Times Cited: 29

Interpretable Machine Learning Model on Thermal Conductivity Using Publicly Available Datasets and Our Internal Lab Dataset
Nikhil K. Barua, E. L. Hall, Yifei Cheng, et al.
Chemistry of Materials (2024) Vol. 36, Iss. 14, pp. 7089-7100
Closed Access | Times Cited: 4

Toward low-salinity waterflooding predictive capability development in carbonates for fast screening of oil-brine-rock candidates
Meysam Golmohammadi, Hassan Mahani, Shahab Ayatollahi
Geoenergy Science and Engineering (2022) Vol. 221, pp. 111258-111258
Closed Access | Times Cited: 13

Estimating permeability impairment due to asphaltene deposition during the natural oil depletion process using machine learning techniques
Abdollah Davoudi, Azim Kalantariasl, Rafat Parsaei, et al.
Geoenergy Science and Engineering (2023) Vol. 230, pp. 212225-212225
Closed Access | Times Cited: 7

Missing Value Imputation Designs and Methods of Nature-Inspired Metaheuristic Techniques: A Systematic Review
Po Chan Chiu, Ali Selamat, Ondřej Krejcar, et al.
IEEE Access (2022) Vol. 10, pp. 61544-61566
Open Access | Times Cited: 12

Influence of brine compositions on wetting preference of montmorillonite in rock/brine/oil system: An in silico study
Mehdi Ghasemi, Ali Shafiei
Applied Surface Science (2022) Vol. 606, pp. 154882-154882
Closed Access | Times Cited: 11

Sustainable application of ML/AI methods in DCW understanding & screening
Tony Thomas, Pushpa Sharma, D. Gupta
Materials Today Proceedings (2023)
Closed Access | Times Cited: 5

Prediction of asphaltene adsorption capacity of clay minerals using machine learning
Mehdi Ghasemi, Afshin Tatar, Ali Shafiei, et al.
The Canadian Journal of Chemical Engineering (2022) Vol. 101, Iss. 5, pp. 2579-2597
Open Access | Times Cited: 6

Asphaltene Precipitation Prediction during Bitumen Recovery: Experimental Approach versus Population Balance and Connectionist Models
Turar Yerkenov, Simin Tazikeh, Afshin Tatar, et al.
ACS Omega (2022) Vol. 7, Iss. 37, pp. 33123-33137
Open Access | Times Cited: 4

An Echo State Network Approach to Data-Driven Modelling and Optimal Control of Carbonate Reservoirs with Uncertainty Fields
Mahlon Kida Marvin, Zakiyyu Muhammad Sarkinbaka, Victor Inumidun Fagorite, et al.
Geoenergy Science and Engineering (2024) Vol. 239, pp. 212996-212996
Closed Access

Evolving Machine Learning Methods for Density Estimation of Liquid Alkali Metals over the Wide Ranges
Tao Lin, Amir Seraj
International Journal of Chemical Engineering (2022) Vol. 2022, pp. 1-11
Open Access | Times Cited: 1

Page 1

Scroll to top