OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Attention-based LSTM network-assisted time series forecasting models for petroleum production
Indrajeet Kumar, Bineet Kumar Tripathi, Anugrah Singh
Engineering Applications of Artificial Intelligence (2023) Vol. 123, pp. 106440-106440
Closed Access | Times Cited: 55

Showing 1-25 of 55 citing articles:

Optimising post-disaster waste collection by a deep learning-enhanced differential evolution approach
Maziar Yazdani, Kamyar Kabirifar, Milad Haghani
Engineering Applications of Artificial Intelligence (2024) Vol. 132, pp. 107932-107932
Open Access | Times Cited: 13

Short-term forecasting for ship fuel consumption based on deep learning
Yumei Chen, Baozhi Sun, Xianwei Xie, et al.
Ocean Engineering (2024) Vol. 301, pp. 117398-117398
Closed Access | Times Cited: 10

A Novel Variant of LSTM Stock Prediction Method Incorporating Attention Mechanism
Shuai Sang, Lü Li
Mathematics (2024) Vol. 12, Iss. 7, pp. 945-945
Open Access | Times Cited: 10

A novel time-delay multivariable grey model and its application in predicting oil production
Huiming Duan, Guan Wang, Yuxin Song, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 139, pp. 109505-109505
Closed Access | Times Cited: 8

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: 13

Surrogate-assisted multi-objective evolutionary feature selection of generation-based fixed evolution control for time series forecasting with LSTM networks
Raquel Espinosa, Fernando Jiménez, José Palma
Swarm and Evolutionary Computation (2024) Vol. 88, pp. 101587-101587
Closed Access | Times Cited: 4

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

Enhancing real-time and day-ahead load forecasting accuracy with deep learning and weighed ensemble approach
Zeyu Li, Zhirui Tian
Applied Intelligence (2025) Vol. 55, Iss. 4
Closed Access

An early warning system for oil wells based on improved long short-term memory network
Jinman Li, Chunsheng Zhang, Lin Yang, et al.
Frontiers in Earth Science (2025) Vol. 12
Open Access

Deep learning framework for multi-demand forecasting and joint prediction of production, distribution, and maintenance across multiple manufacturing sites
Mohamed Ali Kammoun, Zied Hajej, Sami Bennour, et al.
The International Journal of Advanced Manufacturing Technology (2025)
Closed Access

The Multivariate Fusion Distribution Characteristics in Physician Demand Prediction
Jiazhen Zhang, Wei Chen, Xiulai Wang
Mathematics (2025) Vol. 13, Iss. 2, pp. 233-233
Open Access

Time Series Production Forecasting of Natural Gas Based on Transformer Neural Networks
Mandella Ali M. Fargalla, Wei Qi Yan, Jingen Deng, et al.
Geoenergy Science and Engineering (2025), pp. 213749-213749
Closed Access

Well Production Prediction Method Based on Multi-Factor Fusion Time Series Model
Yaqian Zhang, Xianjie Li, Jinxin Cao, et al.
International Petroleum Technology Conference (2025)
Closed Access

Dynamic soft sensor modelling based on data imputation and spatiotemporal attention
Shiwei Gao, P.D. Yun, Wenbo Yang, et al.
The Canadian Journal of Chemical Engineering (2025)
Closed Access

Data-driven modeling for forecasting oil recovery: A timeseries neural network approach for tertiary CO2 WAG EOR
Jonathan Asante, William Ampomah, Jiawei Tu, et al.
Geoenergy Science and Engineering (2023) Vol. 233, pp. 212555-212555
Closed Access | Times Cited: 9

PredXGBR: A Machine Learning Framework for Short-Term Electrical Load Prediction
Rifat Zabin, Khandaker Foysal Haque, Ahmed Abdelgawad
Electronics (2024) Vol. 13, Iss. 22, pp. 4521-4521
Open Access | Times Cited: 3

Reservoir production capacity prediction of Zananor field based on LSTM neural network
Jiyuan Liu, Fanshuo Wang, ChengEn Zhang, et al.
Acta Geophysica (2024)
Closed Access | Times Cited: 2

Well Production Forecast Post-Liquid Lifting Measures: a Transformer-Based Seq2Seq Method with Attention Mechanism
Shuiqingshan Lu, Chuanzhi Cui, Yin Qian, et al.
Energy & Fuels (2024) Vol. 38, Iss. 15, pp. 14072-14084
Closed 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

Improved air traffic flow prediction in terminal areas using a multimodal spatial–temporal network for weather-aware (MST-WA) model
Yang Zeng, Minghua Hu, Haiyan Chen, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102935-102935
Closed Access | Times Cited: 2

Page 1 - Next Page

Scroll to top