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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:

Hybrid deep learning and empirical mode decomposition model for time series applications
Haofan Yang, Yi‐Ping Phoebe Chen
Expert Systems with Applications (2018) Vol. 120, pp. 128-138
Closed Access | Times Cited: 91

Showing 1-25 of 91 citing articles:

Short-term water quality variable prediction using a hybrid CNN–LSTM deep learning model
Rahim Barzegar, Mohammad Taghi Aalami, Jan Adamowski
Stochastic Environmental Research and Risk Assessment (2020) Vol. 34, Iss. 2, pp. 415-433
Closed Access | Times Cited: 412
Short term electric load forecasting model and its verification for process industrial enterprises based on hybrid GA-PSO-BPNN algorithm—A case study of papermaking process
Yusha Hu, Jigeng Li, Mengna Hong, et al.
Energy (2019) Vol. 170, pp. 1215-1227
Open Access | Times Cited: 172
Coupling a hybrid CNN-LSTM deep learning model with a Boundary Corrected Maximal Overlap Discrete Wavelet Transform for multiscale Lake water level forecasting
Rahim Barzegar, Mohammad Taghi Aalami, Jan Adamowski
Journal of Hydrology (2021) Vol. 598, pp. 126196-126196
Closed Access | Times Cited: 155
Application of hybrid model based on double decomposition, error correction and deep learning in short-term wind speed prediction
Zherui Ma, Hongwei Chen, Jiangjiang Wang, et al.
Energy Conversion and Management (2019) Vol. 205, pp. 112345-112345
Closed Access | Times Cited: 136
A hybrid VMD–BiGRU model for rubber futures time series forecasting
Qing Zhu, Fan Zhang, Shan Liu, et al.
Applied Soft Computing (2019) Vol. 84, pp. 105739-105739
Closed Access | Times Cited: 109
Energy load time-series forecast using decomposition and autoencoder integrated memory network
Jatin Bedi, Durga Toshniwal
Applied Soft Computing (2020) Vol. 93, pp. 106390-106390
Closed Access | Times Cited: 76
Short-Term Traffic Flow Forecasting Method With M-B-LSTM Hybrid Network
Zhaowei Qu, Haitao Li, Zhihui Li, et al.
IEEE Transactions on Intelligent Transportation Systems (2020) Vol. 23, Iss. 1, pp. 225-235
Closed Access | Times Cited: 74
Review on Deep Learning Research and Applications in Wind and Wave Energy
Chengcheng Gu, Hua Li
Energies (2022) Vol. 15, Iss. 4, pp. 1510-1510
Open Access | Times Cited: 50
Daily Prediction and Multi-Step Forward Forecasting of Reference Evapotranspiration Using LSTM and Bi-LSTM Models
Dilip Kumar Roy, Tapash Kumar Sarkar, Sheikh Shamshul Alam Kamar, et al.
Agronomy (2022) Vol. 12, Iss. 3, pp. 594-594
Open Access | Times Cited: 49
Electricity price forecast based on the STL-TCN-NBEATS model
Biao Zhang, Chao Song, Xuchu Jiang, et al.
Heliyon (2023) Vol. 9, Iss. 1, pp. e13029-e13029
Open Access | Times Cited: 24
Experimental and deep learning artificial neural network approach for evaluating grid-connected photovoltaic systems
Hussein A. Kazem, Jabar H. Yousif, Miqdam T. Chaichan, et al.
International Journal of Energy Research (2019) Vol. 43, Iss. 14, pp. 8572-8591
Open Access | Times Cited: 66
Landslide data analysis using various time-series forecasting models
Akarsh Aggarwal, Mohammed Alshehri, Manoj Kumar, et al.
Computers & Electrical Engineering (2020) Vol. 88, pp. 106858-106858
Closed Access | Times Cited: 62
Ensemble deep learning based semi-supervised soft sensor modeling method and its application on quality prediction for coal preparation process
Xianhui Yin, Zhanwen Niu, Zhen He, et al.
Advanced Engineering Informatics (2020) Vol. 46, pp. 101136-101136
Closed Access | Times Cited: 57
Representation learning with extreme learning machines and empirical mode decomposition for wind speed forecasting methods
Haofan Yang, Yi‐Ping Phoebe Chen
Artificial Intelligence (2019) Vol. 277, pp. 103176-103176
Open Access | Times Cited: 54
A forecasting model for wave heights based on a long short-term memory neural network
Song Gao, Juan Huang, Yaru Li, et al.
Acta Oceanologica Sinica (2021) Vol. 40, Iss. 1, pp. 62-69
Closed Access | Times Cited: 53
A decomposition-based forecasting method with transfer learning for railway short-term passenger flow in holidays
Keyu Wen, Guotang Zhao, Bisheng He, et al.
Expert Systems with Applications (2021) Vol. 189, pp. 116102-116102
Closed Access | Times Cited: 52
Long Short-Term Memory Networks to Predict One-Step Ahead Reference Evapotranspiration in a Subtropical Climatic Zone
Dilip Kumar Roy
Environmental Processes (2021) Vol. 8, Iss. 2, pp. 911-941
Closed Access | Times Cited: 50
DEASeq2Seq: An attention based sequence to sequence model for short-term metro passenger flow prediction within decomposition-ensemble strategy
Hao Huang, Jiannan Mao, Weike Lu, et al.
Transportation Research Part C Emerging Technologies (2022) Vol. 146, pp. 103965-103965
Closed Access | Times Cited: 32
Advanced traffic congestion early warning system based on traffic flow forecasting and extenics evaluation
Ping Jiang, Zhenkun Liu, Lifang Zhang, et al.
Applied Soft Computing (2022) Vol. 118, pp. 108544-108544
Closed Access | Times Cited: 28
A novel multivariate time series prediction of crucial water quality parameters with Long Short-Term Memory (LSTM) networks
Zhenyu Gao, Jinyue Chen, Guoqiang Wang, et al.
Journal of Contaminant Hydrology (2023) Vol. 259, pp. 104262-104262
Closed Access | Times Cited: 20
Multi-objective optimization of crude oil-supply portfolio based on interval prediction data
Xiaolei Sun, Jun Hao, Jianping Li
Annals of Operations Research (2020) Vol. 309, Iss. 2, pp. 611-639
Closed Access | Times Cited: 46
Healthcare Operations and Black Swan Event for COVID-19 Pandemic: A Predictive Analytics
Jinil Persis, Manimuthu Arunmozhi, V. Raja Sreedharan
IEEE Transactions on Engineering Management (2021) Vol. 70, Iss. 9, pp. 3229-3243
Open Access | Times Cited: 40
A new secondary decomposition-ensemble approach with cuckoo search optimization for air cargo forecasting
Hongtao Li, Juncheng Bai, Xiang Cui, et al.
Applied Soft Computing (2020) Vol. 90, pp. 106161-106161
Closed Access | Times Cited: 39
Long-term power forecasting using FRNN and PCA models for calculating output parameters in solar photovoltaic generation
Hussein A. Kazem, Jabar H. Yousif, Miqdam T. Chaichan, et al.
Heliyon (2022) Vol. 8, Iss. 1, pp. e08803-e08803
Open Access | Times Cited: 22
Traffic flow prediction based on improved deep extreme learning machine
Xiujuan Tian, S. Felix Wu, Xue Xing, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
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