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:

TimeNet: Time2Vec attention-based CNN-BiGRU neural network for predicting production in shale and sandstone gas reservoirs
Mandella Ali M. Fargalla, Wei Qi Yan, Jingen Deng, et al.
Energy (2023) Vol. 290, pp. 130184-130184
Closed Access | Times Cited: 17

Showing 17 citing articles:

Advancing fractured geothermal system modeling with artificial neural network and bidirectional gated recurrent unit
Yuwei Li, Genbo Peng, Tong Du, et al.
Applied Energy (2024) Vol. 372, pp. 123826-123826
Closed Access | Times Cited: 24

EUR Prediction for Shale Gas Wells Based on the ROA-CatBoost-AM Model
Wenping He, Xizhe Li, Yujin Wan, et al.
Applied Sciences (2025) Vol. 15, Iss. 4, pp. 2156-2156
Open Access

Artificial intelligence-driven financial innovation: A robo-advisor system for robust returns across diversified markets
Qing Zhu, Chenyu Han, Shan Liu, et al.
Expert Systems with Applications (2025), pp. 126881-126881
Closed Access

A Hybrid Tabular-Spatial-Temporal Model with 3D Geomodel for Production Prediction in Shale Gas Formations
Muming Wang, Hai Wang, Gang Hui, et al.
SPE Journal (2025), pp. 1-13
Closed Access

Forecasting day-ahead electric power prices with functional data analysis
Faheem Jan, Hasnain Iftikhar, Muhammad Junaid Tahir, et al.
Frontiers in Energy Research (2025) Vol. 13
Open Access

Spatio-temporal prediction of total energy consumption in multiple regions using explainable deep neural network
Shiliang Peng, Lin Fan, Zhang Li, et al.
Energy (2024) Vol. 301, pp. 131526-131526
Closed Access | Times Cited: 3

Tight Oil Well Productivity Prediction Model Based on Neural Network
Yuhang Jin, Kangliang Guo, Xinchen Gao, et al.
Processes (2024) Vol. 12, Iss. 10, pp. 2088-2088
Open Access | Times Cited: 3

A Hybrid Tabular-Spatial-Temporal Model with 3D Geo-Model for Production Prediction in Shale Gas Formations
Muming Wang, Hai Wang, Shengnan Chen, et al.
SPE Annual Technical Conference and Exhibition (2024) Vol. 191
Closed Access | Times Cited: 1

A flow rate estimation method for gas–liquid two-phase flow based on filter-enhanced convolutional neural network
Yuxiao Jiang, Yinyan Liu, Lihui Peng, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 139, pp. 109593-109593
Closed Access | Times Cited: 1

PMTT: Parallel multi-scale temporal convolution network and transformer for predicting the time to aging failure of software systems
Kai Jia, Xiao Yu, Chen Zhang, et al.
Journal of Systems and Software (2024) Vol. 217, pp. 112167-112167
Closed Access

Single Well Production Prediction Model of Gas Reservoir Based on CNN-BILSTM-AM
Daihong Gu, Rongchen Zheng, Peng Cheng, et al.
Energies (2024) Vol. 17, Iss. 22, pp. 5674-5674
Open Access

A Temporal Network Based on Characterizing and Extracting Time Series in Copper Smelting for Predicting Matte Grade
Junjia Zhang, Zhuorui Li, Enzhi Wang, et al.
Sensors (2024) Vol. 24, Iss. 23, pp. 7492-7492
Open Access

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