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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:

Time series forecasting of oil production in Enhanced Oil Recovery system based on a novel CNN-GRU neural network
Guangxu Chen, Hailong Tian, Ting Xiao, et al.
Geoenergy Science and Engineering (2023) Vol. 233, pp. 212528-212528
Closed Access | Times Cited: 23

Showing 23 citing articles:

A novel URP-CNN model for bond credit risk evaluation of Chinese listed companies
Bin Meng, Jing Sun, Baofeng Shi
Expert Systems with Applications (2024) Vol. 255, pp. 124861-124861
Closed Access | Times Cited: 6
Review of Machine Learning Methods for Steady State Capacity and Transient Production Forecasting in Oil and Gas Reservoir
Dongyan Fan, S.Y. Lai, Hai Sun, et al.
Energies (2025) Vol. 18, Iss. 4, pp. 842-842
Open Access
A hybrid model for real-time cooling load prediction and terminal control optimization in multi-zone buildings
Run Zheng, Lei Lei
Journal of Building Engineering (2025), pp. 112120-112120
Closed Access
A time series forecasting method for oil production based on Informer optimized by Bayesian optimization and the hyperband algorithm (BOHB)
Wu Deng, Xiankang Xin, Ruixuan Song, et al.
Computers & Chemical Engineering (2025) Vol. 197, pp. 109068-109068
Open Access
An Intelligent Method for Real-Time Surface Monitoring of Rock Drillability at the Well Bottom Based on Logging and Drilling Data Fusion
Dexin Ma, Hongbo Yang, Zhilin Yang, et al.
Processes (2025) Vol. 13, Iss. 3, pp. 668-668
Open Access
A compact and cost effective GRU flow sensor to estimate propellant flow rate and mixture ratio for payload capacity enhancement in Liquid Propulsion Rocket Engines
R. Anisha Selva Kala, D. Jeraldin Auxillia, J. Jessi Flora
Flow Measurement and Instrumentation (2025), pp. 102908-102908
Closed Access
Consideration of heterogeneity in the fragmentation of carbonate reservoir deposits in the modeling of acid treatments
В Ш Мухаметшин, Ruslan Gilyazetdinov, R. Kh. Khamzin
E3S Web of Conferences (2025) Vol. 623, pp. 02017-02017
Open Access
Research on Oil Well Production Prediction Based on GRU-KAN Model Optimized by PSO
Bo Qiu, Jian Zhang, Yun Yang, et al.
Energies (2024) Vol. 17, Iss. 21, pp. 5502-5502
Open Access | Times Cited: 4
Deep insight: an efficient hybrid model for oil well production forecasting using spatio-temporal convolutional networks and Kolmogorov–Arnold networks
Yandong Hu, Xiankang Xin, Gaoming Yu, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
A Time Series Forecasting Approach Based on Meta-Learning for Petroleum Production under Few-Shot Samples
Zhichao Xu, Gaoming Yu
Energies (2024) Vol. 17, Iss. 8, pp. 1947-1947
Open Access | Times Cited: 2
A physical constraint-based machine learning model for shale oil production prediction
Yuhan Wang, Zhengdong Lei, Qiang Zhou, et al.
Physics of Fluids (2024) Vol. 36, Iss. 8
Closed Access | Times Cited: 2
Harnessing Deep Learning and Snow Cover Data for Enhanced Runoff Prediction in Snow-Dominated Watersheds
Rana Muhammad Adnan Ikram, Mo Wang, Özgür Kişi, et al.
Atmosphere (2024) Vol. 15, Iss. 12, pp. 1407-1407
Open Access | Times Cited: 2
A hybrid deep recurrent artificial neural network with a simple exponential smoothing feedback mechanism
Özlem Karahasan, Eren Baş, Erol Eğrioğlu
Information Sciences (2024) Vol. 686, pp. 121356-121356
Closed Access | Times Cited: 1
Forecasting Maximum Power Point in Solar Panels Using CNN-GRU
Diaa Salman, Yonis Khalif Elmi, Abdullahi Sheikh Mohamed, et al.
International Journal of Electrical and Electronics Engineering (2024) Vol. 11, Iss. 7, pp. 215-227
Open Access
Ultrasonic signal classification for composite materials via deep convolutional neural networks
Qirui Zhang, Canzhi Guo, Guanggui Cheng, et al.
Nondestructive Testing And Evaluation (2024), pp. 1-18
Closed Access
Global feature capture and Spatially-Aware neural networks for predicting CO2-flooding performance in heterogeneous low-permeable reservoirs
Yukun Dong, Jianxiang Jin, Ji‐Yuan Zhang, et al.
Geoenergy Science and Engineering (2024), pp. 213293-213293
Closed Access
Multisource Modeling Method for Petroleum Production Prediction Models: A Case Study of CO2-Flooding Performance
Yukun Dong, Jianxiang Jin, Jiyuan Zhang, et al.
SPE Journal (2024), pp. 1-18
Closed Access
Optimization of co-injecting CH4 with CO2 to enhanced oil recovery and carbon storage: A machine-learning based case study on H59 block of Jilin oilfield, China
Guangxu Chen, Hailong Tian, Yilong yuan, et al.
Geoenergy Science and Engineering (2024), pp. 213380-213380
Closed Access
Committee Machine Learning: A Breakthrough in the Precise Prediction of CO2 Storage Mass and Oil Production Volumes in Unconventional Reservoirs
Shadfar Davoodi, Hung Vo Thanh, David A. Wood, et al.
Geoenergy Science and Engineering (2024), pp. 213533-213533
Closed Access
Optimizing Project Time and Cost Prediction Using a Hybrid XGBoost and Simulated Annealing Algorithm
Ali Akbar ForouzeshNejad, Farzad Arabikhan, Shohin Aheleroff
Machines (2024) Vol. 12, Iss. 12, pp. 867-867
Open Access
Enhanced Oil Recovery Optimization with Ch4 and Co2 Co-Injection: A Machine-Learning Based Case Study on H59 Block of Jilin Oilfield, China
chen guangxu, Hailong Tian, Yilong Yuan, et al.
(2024)
Closed Access
Enhanced Oil Recovery Optimization with Ch4 and Co2 Co-Injection: A Machine-Learning Based Case Study on H59 Block of Jilin Oilfield, China
Guangxu Chen, Hailong Tian, Ting Xiao, et al.
(2024)
Closed Access
KLASIFIKASI KUALITAS HASIL PRODUKSI TAHU PUTIH MENGGUNAKAN METODE CONVOLUTIONAL NEURAL NETWORK
Irwan Rahmadani, Muqimuddin Muqimuddin, Christopher Davito Prabandewa Hertadi, et al.
Sebatik (2023) Vol. 27, Iss. 2, pp. 644-650
Open Access
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