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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:

A new data-driven predictor, PSO-XGBoost, used for permeability of tight sandstone reservoirs: A case study of member of chang 4+5, western Jiyuan Oilfield, Ordos Basin
Yufeng Gu, Daoyong Zhang, Zhidong Bao
Journal of Petroleum Science and Engineering (2021) Vol. 199, pp. 108350-108350
Closed Access | Times Cited: 38

Showing 1-25 of 38 citing articles:

NMR log response prediction from conventional petrophysical logs with XGBoost-PSO framework
Bo Liu, Auref Rostamian, Mahdi Kheirollahi, et al.
Geoenergy Science and Engineering (2023) Vol. 224, pp. 211561-211561
Closed Access | Times Cited: 32
Permeability Predictions for Tight Sandstone Reservoir Using Explainable Machine Learning and Particle Swarm Optimization
Jingjing Liu, Jianchao Liu
Geofluids (2022) Vol. 2022, pp. 1-15
Open Access | Times Cited: 35
Integrating drilling parameters and machine learning tools to improve real-time porosity prediction of multi-zone reservoirs. Case study: Rhourd Chegga oilfield, Algeria
Abdelhamid Ouladmansour, Ouafi Ameur-Zaimeche, Rabah Kechiched, et al.
Geoenergy Science and Engineering (2023) Vol. 223, pp. 211511-211511
Closed Access | Times Cited: 17
Bottomhole Pressure Prediction of Carbonate Reservoirs Using XGBoost
Hao Sun, Luo Qiang, Zhaohui Xia, et al.
Processes (2024) Vol. 12, Iss. 1, pp. 125-125
Open Access | Times Cited: 7
Prediction of CO2 Storage in Different Geological Conditions Based on Machine Learning
Ming Liu, Zhen Li, Qi Jing, et al.
Energy & Fuels (2024) Vol. 38, Iss. 22, pp. 22340-22350
Closed Access | Times Cited: 6
Prediction of permeability of highly heterogeneous hydrocarbon reservoir from conventional petrophysical logs using optimized data-driven algorithms
Amirhossein Sheykhinasab, Amir Ali Mohseni, Arash Barahooie Bahari, et al.
Journal of Petroleum Exploration and Production Technology (2022) Vol. 13, Iss. 2, pp. 661-689
Open Access | Times Cited: 23
Improving permeability prediction in carbonate reservoirs through gradient boosting hyperparameter tuning
Mohammed A. Abbas, Watheq J. Al‐Mudhafar, David A. Wood
Earth Science Informatics (2023) Vol. 16, Iss. 4, pp. 3417-3432
Closed Access | Times Cited: 14
Hybrid modeling-based digital twin for performance optimization with flexible operation in the direct air-cooling power unit
Guanjia Zhao, Zhipeng Cui, Jing Xu, et al.
Energy (2022) Vol. 254, pp. 124492-124492
Closed Access | Times Cited: 20
High-frequency forecasting of the crude oil futures price with multiple timeframe predictions fusion
Shangkun Deng, Yingke Zhu, Shuangyang Duan, et al.
Expert Systems with Applications (2023) Vol. 217, pp. 119580-119580
Closed Access | Times Cited: 12
Permeability prediction using logging data in a heterogeneous carbonate reservoir: A new self-adaptive predictor
Pengyu Xu, Huailai Zhou, Xingye Liu, et al.
Geoenergy Science and Engineering (2023) Vol. 224, pp. 211635-211635
Closed Access | Times Cited: 12
Predicting the Compressive Strength of Pervious Cement Concrete based on Fast Genetic Programming Method
Ba-Anh Le, Bao-Viet Tran, Thai-Son Vu, et al.
Arabian Journal for Science and Engineering (2023) Vol. 49, Iss. 4, pp. 5487-5504
Closed Access | Times Cited: 11
Machine learning approach for core permeability prediction from well logs in Sandstone Reservoir, Mediterranean Sea, Egypt
Ali Mahdy, Wael Zakaria, Ahmed Helmi, et al.
Journal of Applied Geophysics (2023) Vol. 220, pp. 105249-105249
Closed Access | Times Cited: 11
Improving permeability modeling using artificial neural networks in Lower Safa sand reservoir, JG field, Abu El-Gharadig basin, Western Desert, Egypt
Mostafa S. Khalid
Earth Science Informatics (2025) Vol. 18, Iss. 2
Open Access
Machine learning-based prediction of physical parameters in heterogeneous carbonate reservoirs using well log data
Fuyong Wang, Xianmu Hou
Energy Geoscience (2025), pp. 100383-100383
Open Access
Concatenating data-driven and reduced-physics models for smart production forecasting
Oscar I.O. Ogali, Oyinkepreye D. Orodu
Earth Science Informatics (2025) Vol. 18, Iss. 2
Closed Access
Prediction of Unconfined Compressive Strength of Cemented Tailings Backfill Containing Coarse Aggregate Using a Hybrid Model Based on Extreme Gradient Boosting
Jinping Guo, Zechen Li, Xiaolin Wang, et al.
International Journal for Numerical and Analytical Methods in Geomechanics (2025)
Closed Access
Occurrence Mechanism of Crude Oil Components in Tight Reservoirs: A Case Study of the Chang 7 Tight Oil in the Jiyuan Area, Ordos Basin, China
Mengya Jiang, Dongxia Chen, Qiaochu Wang, et al.
Energies (2025) Vol. 18, Iss. 6, pp. 1440-1440
Open Access
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
Enhancing electric vehicle charging efficiency at the aggregator level: A deep-weighted ensemble model for wholesale electricity price forecasting
Shahid Hussain, Abhishek Prasad Teni, Ihtisham Hussain, et al.
Energy (2024) Vol. 308, pp. 132823-132823
Open Access | Times Cited: 3
Stock Price Crash Warning in the Chinese Security Market Using a Machine Learning-Based Method and Financial Indicators
Shangkun Deng, Yingke Zhu, Shuangyang Duan, et al.
Systems (2022) Vol. 10, Iss. 4, pp. 108-108
Open Access | Times Cited: 15
A hybrid ensemble learning method for the identification of gang-related arson cases
Ning Wang, Senyao Zhao, Shaoze Cui, et al.
Knowledge-Based Systems (2021) Vol. 218, pp. 106875-106875
Closed Access | Times Cited: 20
Hybrid machine learning model based predictions for properties of poly(2-hydroxyethyl methacrylate)-poly(vinyl alcohol) composite cryogels embedded with bacterial cellulose
Jiawei Wu, Ruobing Wang, Yan Tan, et al.
Journal of Chromatography A (2024) Vol. 1727, pp. 464996-464996
Closed Access | Times Cited: 2
LXGB: a machine learning algorithm for estimating the discharge coefficient of pseudo-cosine labyrinth weir
Somayeh Emami, Hojjat Emami, Javad Parsa
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 6
Prediction Technology of a Reservoir Development Model While Drilling Based on Machine Learning and Its Application
Xin Wang, Min Mao, Yi Yang, et al.
Processes (2024) Vol. 12, Iss. 5, pp. 975-975
Open Access | Times Cited: 2
An improved algorithm with particle swarm optimization-extreme gradient boosting to predict the contents of pyrolytic hydrocarbons in source rocks
Xiangchun Chang, Tianjiao Liu, Bingbing Shi, et al.
Journal of Asian Earth Sciences (2024), pp. 106367-106367
Closed Access | Times Cited: 2
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