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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 production prediction method of single well in water flooding oilfield based on integrated temporal convolutional network model
Lei Zhang, Hong'en Dou, Tianzhi WANG, et al.
Petroleum Exploration and Development (2022) Vol. 49, Iss. 5, pp. 1150-1160
Open Access | Times Cited: 22

Showing 22 citing articles:

Surrogate model for reservoir performance prediction with time-varying well control based on depth generative network
Yan Li, Deli Jia, Suling Wang, et al.
Petroleum Exploration and Development (2024) Vol. 51, Iss. 5, pp. 1287-1300
Open Access | Times Cited: 8
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
Shale oil production time series forecasting for multi-fractured horizontal wells with optimized artificial neural networks integrating multi-source data
Jie Zhan, Jun Jia, Xifeng Ding, et al.
Physics of Fluids (2025) Vol. 37, Iss. 4
Closed 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
A novel framework for predicting non-stationary production time series of shale gas based on BiLSTM-RF-MPA deep fusion model
Bin Liang, Jiang Liu, Lixia Kang, et al.
Petroleum Science (2024) Vol. 21, Iss. 5, pp. 3326-3339
Open Access | Times Cited: 3
Shale oil production predication based on an empirical model-constrained CNN-LSTM
Qiang Zhou, Lei Zhengdong, Zhewei Chen, et al.
Energy Geoscience (2023) Vol. 5, Iss. 2, pp. 100252-100252
Open Access | Times Cited: 8
A Productivity Prediction Method of Fracture-Vuggy Reservoirs Based on the PSO-BP Neural Network
Kunming Tian, Zhihong Kang, Zhijiang Kang
Energies (2024) Vol. 17, Iss. 14, pp. 3482-3482
Open Access | Times Cited: 2
A Time Patch Dynamic Attention Transformer for Enhanced Well Production Forecasting in Complex Oilfield Operations
Tao Huang, Huanran Qian, Zhaoqin Huang, et al.
Energy (2024), pp. 133186-133186
Closed Access | Times Cited: 2
Integrating Petrophysical, Hydrofracture, and Historical Production Data with Self-Attention-Based Deep Learning for Shale Oil Production Prediction
Jiafeng Zhang, Ye Liu, Fuqiang Zhang, et al.
SPE Journal (2024), pp. 1-22
Closed Access | Times Cited: 2
An Artificial Intelligence Method for Flowback Control of Hydraulic Fracturing Fluid in Oil and Gas Wells
Ruixuan Li, Hangxin Wei, Jingyuan Wang, et al.
Processes (2023) Vol. 11, Iss. 6, pp. 1773-1773
Open Access | Times Cited: 5
Forecasting of oil production driven by reservoir spatial–temporal data based on normalized mutual information and Seq2Seq-LSTM
Chuanzhi Cui, Yin Qian, Zhongwei Wu, et al.
Energy Exploration & Exploitation (2023) Vol. 42, Iss. 2, pp. 444-461
Open Access | Times Cited: 5
A well production prediction method based on blending heterogeneous ensemble learning optimized by OOA
Zhanquan Zhang
Journal of Physics Conference Series (2024) Vol. 2835, Iss. 1, pp. 012002-012002
Open Access | Times Cited: 1
A Hybrid Prediction Model for Pumping Well System Efficiency Based on Stacking Integration Strategy
Biao Ma, Shimin Dong
International Journal of Energy Research (2024) Vol. 2024, Iss. 1
Open Access | Times Cited: 1
A novel hybrid efficiency prediction model for pumping well system based on MDS–SSA–GNN
Biao Ma, Shimin Dong
Energy Science & Engineering (2024) Vol. 12, Iss. 8, pp. 3272-3288
Open Access
An oil production prediction approach based on variational mode decomposition and ensemble learning model
Junyi Fang, Yan Zhen, Xiaoya Lu, et al.
Computers & Geosciences (2024), pp. 105734-105734
Closed Access
Application of Dual-Stage Attention Temporal Convolutional Networks in Gas Well Production Prediction
Xianlin Ma, Long Zhang, Jie Zhan, et al.
Mathematics (2024) Vol. 12, Iss. 24, pp. 3896-3896
Open Access
Optimisation of Well Location for Water Gas Alternating Flooding in Deepwater Carbonate Reservoirs Based on Artificial Intelligence
Yunbo Li, Ze Wang, Hao Sun, et al.
(2024)
Closed Access
Oilfield sustainability and management: an optimization model for the reconstruction of oil and gas gathering systems based on potential location mining
Jie Chen, Wei Wang, Wenyuan Sun, et al.
Petroleum Science (2024)
Open Access
Application of machine learning methods to forecast the rate of horizontal wells
Andrey Soromotin, Dmitriy A. Martyushev, I. B. Stepanenko
Proceedings of OilGasScientificResearchProjects Institute SOCAR (2023), Iss. SI1
Open Access | Times Cited: 1
Research on the Application of Integrated Learning Models in Oilfield Production Forecasting
Mingcheng Ni, Xiankang Xin, GaoMing Yu, et al.
ACS Omega (2023) Vol. 8, Iss. 42, pp. 39583-39595
Open Access
A Model for Development Stage Division in Multiple-Production-Cycles Hydrocarbon Field Based on Savitzky-Golay Filter and Adam Algorithm
Guilin Qi, Baolei Liu
(2023)
Closed Access
Construction and Application of Enhanced Transfer Neural Network for Multiple Time Sequence Signal Recognition
X. Song, Hangxin Wei, Tianshi Liu
(2023), pp. 113-119
Closed Access
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