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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 novel governing equation for shale gas production prediction via physics-informed neural networks
Hai Wang, Muming Wang, Shengnan Chen, et al.
Expert Systems with Applications (2024) Vol. 248, pp. 123387-123387
Open Access | Times Cited: 11

Showing 11 citing articles:

Stability and computational results for chemical kinetics reactions in enzyme
M. Sivashankar, S. Sabarinathan, Hasib Khan, et al.
Journal of Mathematical Chemistry (2024) Vol. 62, Iss. 9, pp. 2346-2367
Closed Access | Times Cited: 7
Learning the factors controlling mineral dissolution in three-dimensional fracture networks: applications in geologic carbon sequestration
Aleksandra A. Pachalieva, Jeffrey D. Hyman, Daniel O’Malley, et al.
Frontiers in Environmental Science (2025) Vol. 12
Open Access
DeepONet-embedded physics-informed neural network for production prediction of multiscale shale matrix–fracture system
Jiaxuan Chen, Hao Yu, B.Q. Li, et al.
Physics of Fluids (2025) Vol. 37, Iss. 1
Closed Access
Unrolled deep learning for breast cancer detection using limited-view photoacoustic tomography data
Mary John, Imad Barhumi
Medical & Biological Engineering & Computing (2025)
Closed Access
A physics-informed neural network for nonlinear deflection prediction of Ionic Polymer-Metal Composite based on Kolmogorov-Arnold networks
Lin Zhang, Lei Chen, Fengwei An, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 144, pp. 110126-110126
Closed Access
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
Application of Machine Learning in Hydraulic Fracturing: A Review
Yulin Ma, M. Ye
ACS Omega (2025)
Open Access
Production Prediction Model of Tight Gas Well Based on Neural Network Driven by Decline Curve and Data
Minjing Chen, Zhan Qu, Wei Liu, et al.
Processes (2024) Vol. 12, Iss. 5, pp. 932-932
Open 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: 2
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
Integration of Artificial Neural Network and Fast Marching Method for Rate Prediction in Unconventional Reservoir
Davud Davudov, Uchenna Odi, Arunava Gupta, et al.
Geoenergy Science and Engineering (2024), pp. 213568-213568
Closed Access
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