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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:

Application of mathematical and machine learning models to predict differential pressure of autonomous downhole inflow control devices
Hossein Yavari, Rasool Khosravanian, David A. Wood, et al.
ADVANCES IN GEO-ENERGY RESEARCH (2021) Vol. 5, Iss. 4, pp. 386-406
Open Access | Times Cited: 18

Showing 18 citing articles:

Spatio-temporal sequence prediction of CO2 flooding and sequestration potential under geological and engineering uncertainties
Xinyu Zhuang, Wendong Wang, Yuliang Su, et al.
Applied Energy (2024) Vol. 359, pp. 122691-122691
Closed Access | Times Cited: 15
Estimated ultimate recovery prediction of fractured horizontal wells in tight oil reservoirs based on deep neural networks
Shangui Luo, Chao Ding, Hongfei Cheng, et al.
ADVANCES IN GEO-ENERGY RESEARCH (2022) Vol. 6, Iss. 2, pp. 111-122
Open Access | Times Cited: 30
Image feature recognition and gas permeability prediction of Gaomiaozi bentonite based on digital images and machine learning
Jiangfeng Liu, Shijia Ma, Wanqing Shen, et al.
ADVANCES IN GEO-ENERGY RESEARCH (2022) Vol. 6, Iss. 4, pp. 314-323
Open Access | Times Cited: 23
A Comparative Study of Ensemble Learning Techniques and Mathematical Models for Rigorous Modeling of Solution Gas/Oil Ratio
Hossein Yavari, Jafar Qajar
SPE Journal (2025), pp. 1-26
Closed Access
Hyperparameter Tuning of Artificial Neural Networks for Well Production Estimation Considering the Uncertainty in Initialized Parameters
Miao Jin, Qinzhuo Liao, Shirish Patil, et al.
ACS Omega (2022) Vol. 7, Iss. 28, pp. 24145-24156
Open Access | Times Cited: 18
An approach for optimization of controllable drilling parameters for motorized bottom hole assembly in a specific formation
Hossein Yavari, Mohammad Fazaelizadeh, Bernt S. Aadnøy, et al.
Results in Engineering (2023) Vol. 20, pp. 101548-101548
Open Access | Times Cited: 10
An adaptive neuro-fuzzy inference system white-box model for real-time multiphase flowing bottom-hole pressure prediction in wellbores
Chibuzo Cosmas Nwanwe, Ugochukwu I. Duru
Petroleum (2023) Vol. 9, Iss. 4, pp. 629-646
Open Access | Times Cited: 9
Statistical prediction of waterflooding performance by K-means clustering and empirical modeling
Qinzhuo Liao, Liang Xue, Gang Lei, et al.
Petroleum Science (2022) Vol. 19, Iss. 3, pp. 1139-1152
Open Access | Times Cited: 15
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: 8
A novel machine learning model for autonomous analysis and diagnosis of well integrity failures in artificial-lift production systems
Adel M. Salem, Mostafa S. Yakoot, Omar Mahmoud
ADVANCES IN GEO-ENERGY RESEARCH (2022) Vol. 6, Iss. 2, pp. 123-142
Open Access | Times Cited: 12
Selection of Optimal Well Trajectory Using Multi-Objective Genetic Algorithm and TOPSIS Method
Hossein Yavari, Jafar Qajar, Bernt S. Aadnøy, et al.
Arabian Journal for Science and Engineering (2023) Vol. 48, Iss. 12, pp. 16831-16855
Open Access | Times Cited: 5
Weighted mapping of productivity potential based on simulated annealing algorithm for well placement optimization
Rui Deng, Bo Kang, Liang Zhang, et al.
Journal of Petroleum Exploration and Production Technology (2024) Vol. 14, Iss. 11, pp. 3031-3043
Open Access | Times Cited: 1
Intelligent Algorithm for Rock Core RQD Based on Object Detection and Image Segmentation to Suppress Noise and Vibration
Feng Xiong, Jintao Wang, Guohua Zhang, et al.
Advances in Civil Engineering (2024) Vol. 2024, pp. 1-9
Open Access | Times Cited: 1
Solution gas-oil ratio estimation using histogram gradient boosting regression, machine learning, and mathematical models: a comparative analysis
Hossein Yavari
Energy Sources Part A Recovery Utilization and Environmental Effects (2023) Vol. 46, Iss. 1, pp. 379-396
Closed Access | Times Cited: 3
New generalized correlations for oil rate predictions through wellhead chokes for high GOR reservoirs
Ahmed Farid Ibrahim, Redha Al Dhaif, Salaheldin Elkatatny
Arabian Journal of Geosciences (2022) Vol. 15, Iss. 12
Closed Access | Times Cited: 3
Bridging the performance gap between passive and autonomous inflow control devices with a hybrid dynamic optimization technique integrating machine learning and global sensitivity analysis
Jamal Ahdeema, Ali Moradi, Morteza Haghighat Sefat, et al.
Geoenergy Science and Engineering (2024) Vol. 240, pp. 213037-213037
Open Access
Prediction of Porous Media Fluid Flow with Spatial Heterogeneity Using Criss-Cross Physics-Informed Convolutional Neural Networks
Jiangxia Han, Liang Xue, Ying Jia, et al.
Computer Modeling in Engineering & Sciences (2023) Vol. 138, Iss. 2, pp. 1323-1340
Open Access | Times Cited: 1
Establishment and Simulation of Intelligent Control Algorithm Model of Autonomous Power Supply System Based on Random Forest
Lina Wang, Jinman Luo, Yv Ling, et al.
(2023), pp. 565-569
Closed Access
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