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 axle temperature forecasting method based on decomposition, reinforcement learning optimization and neural network
Hui Liu, Chengming Yu, Chengqing Yu, et al.
Advanced Engineering Informatics (2020) Vol. 44, pp. 101089-101089
Open Access | Times Cited: 44

Showing 1-25 of 44 citing articles:

A new hybrid ensemble deep reinforcement learning model for wind speed short term forecasting
Hui Liu, Chengqing Yu, Haiping Wu, et al.
Energy (2020) Vol. 202, pp. 117794-117794
Closed Access | Times Cited: 145

An integrated optimization method for tactical-level planning in liner shipping with heterogeneous ship fleet and environmental considerations
Junayed Pasha, Maxim A. Dulebenets, Amir M. Fathollahi-Fard, et al.
Advanced Engineering Informatics (2021) Vol. 48, pp. 101299-101299
Closed Access | Times Cited: 127

American sign language recognition and training method with recurrent neural network
C.K.M. Lee, Kam K.H. Ng, Chun‐Hsien Chen, et al.
Expert Systems with Applications (2020) Vol. 167, pp. 114403-114403
Open Access | Times Cited: 119

An intelligent fault diagnosis method for rotor-bearing system using small labeled infrared thermal images and enhanced CNN transferred from CAE
Zhiyi He, Haidong Shao, Zhong Xiang, et al.
Advanced Engineering Informatics (2020) Vol. 46, pp. 101150-101150
Closed Access | Times Cited: 106

Reinforced quantum-behaved particle swarm-optimized neural network for cross-sectional distortion prediction of novel variable-diameter-die-formed metal bent tubes
Caicheng Wang, Zili Wang, Shuyou Zhang, et al.
Journal of Computational Design and Engineering (2023) Vol. 10, Iss. 3, pp. 1060-1079
Open Access | Times Cited: 37

TFEformer: A new temporal frequency ensemble transformer for day-ahead photovoltaic power prediction
Chengming Yu, Ji Qiao, Chao Chen, et al.
Journal of Cleaner Production (2024) Vol. 448, pp. 141690-141690
Closed Access | Times Cited: 13

Forecasting air pollutant concentration using a novel spatiotemporal deep learning model based on clustering, feature selection and empirical wavelet transform
Jusong Kim, Xiaoli Wang, Chollyong Kang, et al.
The Science of The Total Environment (2021) Vol. 801, pp. 149654-149654
Closed Access | Times Cited: 44

A data-driven hybrid ensemble AI model for COVID-19 infection forecast using multiple neural networks and reinforced learning
Weiqiu Jin, Shuqing Dong, Chengqing Yu, et al.
Computers in Biology and Medicine (2022) Vol. 146, pp. 105560-105560
Open Access | Times Cited: 35

A new hybrid model based on secondary decomposition, reinforcement learning and SRU network for wind turbine gearbox oil temperature forecasting
Hui Liu, Chengqing Yu, Chengming Yu
Measurement (2021) Vol. 178, pp. 109347-109347
Closed Access | Times Cited: 33

Crude Oil Price Forecasting Model Based on Neural Networks and Error Correction
Guangji Zheng, Ye Li, Yu Xia
Applied Sciences (2025) Vol. 15, Iss. 3, pp. 1055-1055
Open Access

Parallel deep prediction with covariance intersection fusion on non-stationary time series
Zhigang Shi, Yuting Bai, Xuebo Jin, et al.
Knowledge-Based Systems (2020) Vol. 211, pp. 106523-106523
Closed Access | Times Cited: 34

Predicting freshwater production and energy consumption in a seawater greenhouse based on ensemble frameworks using optimized multi-layer perceptron
Mohammad Ehteram, Ali Najah Ahmed, Pavitra Kumar, et al.
Energy Reports (2021) Vol. 7, pp. 6308-6326
Open Access | Times Cited: 28

A three-stage multi-objective heterogeneous integrated model with decomposition-reconstruction mechanism and adaptive segmentation error correction method for ship motion multi-step prediction
Yunyu Wei, Zezong Chen, Chen Zhao, et al.
Advanced Engineering Informatics (2023) Vol. 56, pp. 101954-101954
Closed Access | Times Cited: 11

Dynamic Feature Selection for Solar Irradiance Forecasting Based on Deep Reinforcement Learning
Cheng Lyu, Sara Eftekharnejad, Sagnik Basumallik, et al.
IEEE Transactions on Industry Applications (2022) Vol. 59, Iss. 1, pp. 533-543
Closed Access | Times Cited: 16

Combined forecasting approach for product quality based on support vector regression and gray forecasting model
Xiaozhen Lian, Ying Liu, Xiangjian Bu, et al.
Advanced Engineering Informatics (2023) Vol. 57, pp. 102070-102070
Open Access | Times Cited: 10

Physics-guided neural network for grinding temperature prediction
Tianren Zhang, Wenhu Wang, Ruizhe Dong, et al.
Journal of Engineering Design (2024), pp. 1-24
Closed Access | Times Cited: 3

A self-organization reconstruction method of ESN reservoir structure based on reinforcement learning
Wei Guo, Huan Yao, Yingqin Zhu, et al.
Information Sciences (2024) Vol. 677, pp. 120826-120826
Open Access | Times Cited: 3

Deterministic and probabilistic ship pitch prediction using a multi-predictor integration model based on hybrid data preprocessing, reinforcement learning and improved QRNN
Yunyu Wei, Zezong Chen, Chen Zhao, et al.
Advanced Engineering Informatics (2022) Vol. 54, pp. 101806-101806
Closed Access | Times Cited: 14

Regression generative adversarial network based on bounded losses for prediction of free calcium oxide in cement clinker
Gaolu Huang, Xiaochen Hao, Yifu Zhang, et al.
Advanced Engineering Informatics (2024) Vol. 59, pp. 102344-102344
Closed Access | Times Cited: 2

Data fusion method for temperature monitoring of bio-oxidation with wireless sensor networks
Hailong Li, Xinyuan Nan, Xin Cai, et al.
Measurement (2024) Vol. 230, pp. 114478-114478
Closed Access | Times Cited: 2

Test Method for Rapid Prediction of Steady-State Temperature of Outer Rings of Bearings under Grease Lubrication Conditions
Zhongbing Xia, Fang Yang, Xiqiang Ma, et al.
Lubricants (2024) Vol. 12, Iss. 5, pp. 177-177
Open Access | Times Cited: 2

Improving Stock Price Prediction Using Combining Forecasts Methods
Mohammad Raquibul Hossain, Mohd Tahir Ismail, Samsul Ariffin Abdul Karim
IEEE Access (2021) Vol. 9, pp. 132319-132328
Open Access | Times Cited: 16

An artificial intelligence model based on multi-step feature engineering and deep attention network for optical network performance monitoring
Yang Zhou, Zhuojia Yang, Qiang Sun, et al.
Optik (2022) Vol. 273, pp. 170443-170443
Closed Access | Times Cited: 11

DMEformer: A newly designed dynamic model ensemble transformer for crude oil futures prediction
Chao Liu, Kaiyi Ruan, Xinmeng Ma
Heliyon (2023) Vol. 9, Iss. 6, pp. e16715-e16715
Open Access | Times Cited: 6

A novel ensemble reinforcement learning gated unit model for daily PM2.5 forecasting
Yanfei Li, Zheyu Liu, Hui Liu
Air Quality Atmosphere & Health (2020) Vol. 14, Iss. 3, pp. 443-453
Closed Access | Times Cited: 17

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