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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 hybrid decomposition-ensemble model based on VMD and HGWO for container throughput forecasting
Mingfei Niu, Yueyong Hu, Shaolong Sun, et al.
Applied Mathematical Modelling (2018) Vol. 57, pp. 163-178
Closed Access | Times Cited: 130

Showing 1-25 of 130 citing articles:

Decomposition ensemble model based on variational mode decomposition and long short-term memory for streamflow forecasting
Ganggang Zuo, Jungang Luo, Ni Wang, et al.
Journal of Hydrology (2020) Vol. 585, pp. 124776-124776
Closed Access | Times Cited: 207
Hybrid structures in time series modeling and forecasting: A review
Zahra Hajirahimi, Mehdi Khashei
Engineering Applications of Artificial Intelligence (2019) Vol. 86, pp. 83-106
Closed Access | Times Cited: 185
Random forest solar power forecast based on classification optimization
Da Liu, Kun Sun
Energy (2019) Vol. 187, pp. 115940-115940
Closed Access | Times Cited: 149
A multi-factor driven spatiotemporal wind power prediction model based on ensemble deep graph attention reinforcement learning networks
Chengqing Yu, Guangxi Yan, Chengming Yu, et al.
Energy (2022) Vol. 263, pp. 126034-126034
Closed Access | Times Cited: 88
A hybrid VMD-LSTM/GRU model to predict non-stationary and irregular waves on the east coast of China
Lingxiao Zhao, Zhiyang Li, Leilei Qu, et al.
Ocean Engineering (2023) Vol. 276, pp. 114136-114136
Closed Access | Times Cited: 83
Applications of machine learning methods in port operations – A systematic literature review
Siyavash Filom, Amir Mohammad Amiri, Saiedeh Razavi
Transportation Research Part E Logistics and Transportation Review (2022) Vol. 161, pp. 102722-102722
Closed Access | Times Cited: 82
Design and implementation of a hybrid model based on two-layer decomposition method coupled with extreme learning machines to support real-time environmental monitoring of water quality parameters
Elham Fijani, Rahim Barzegar, Ravinesh C. Deo, et al.
The Science of The Total Environment (2018) Vol. 648, pp. 839-853
Closed Access | Times Cited: 157
A hybrid framework for carbon trading price forecasting: The role of multiple influence factor
Hao Yan, Tian Cheng-shi
Journal of Cleaner Production (2020) Vol. 262, pp. 120378-120378
Closed Access | Times Cited: 135
Multi-objective algorithm for the design of prediction intervals for wind power forecasting model
Ping Jiang, Ranran Li, Hongmin Li
Applied Mathematical Modelling (2018) Vol. 67, pp. 101-122
Open Access | Times Cited: 113
Development of novel hybridized models for urban flood susceptibility mapping
Omid Rahmati, Hamid Darabi, Mahdi Panahi, et al.
Scientific Reports (2020) Vol. 10, Iss. 1
Open Access | Times Cited: 107
A hybrid model for multi-step coal price forecasting using decomposition technique and deep learning algorithms
Kefei Zhang, Hua Cao, Jesse Van Griensven Thé, et al.
Applied Energy (2021) Vol. 306, pp. 118011-118011
Closed Access | Times Cited: 83
Machine learning for international freight transportation management: A comprehensive review
Limon Barua, Bo Zou, Yan Zhou
Research in Transportation Business & Management (2020) Vol. 34, pp. 100453-100453
Open Access | Times Cited: 81
Utilizing machine learning on freight transportation and logistics applications: A review
Kalliopi Tsolaki, Thanasis Vafeiadis, Alexandros Nizamis, et al.
ICT Express (2022) Vol. 9, Iss. 3, pp. 284-295
Open Access | Times Cited: 67
A new hybrid optimization ensemble learning approach for carbon price forecasting
Shaolong Sun, Feng Jin, Hongtao Li, et al.
Applied Mathematical Modelling (2021) Vol. 97, pp. 182-205
Closed Access | Times Cited: 66
Hour-ahead photovoltaic generation forecasting method based on machine learning and multi objective optimization algorithm
Jianzhou Wang, Yilin Zhou, Zhiwu Li
Applied Energy (2022) Vol. 312, pp. 118725-118725
Closed Access | Times Cited: 65
A new multi-data-driven spatiotemporal PM2.5 forecasting model based on an ensemble graph reinforcement learning convolutional network
Xinwei Liu, Muchuan Qin, Yue He, et al.
Atmospheric Pollution Research (2021) Vol. 12, Iss. 10, pp. 101197-101197
Closed Access | Times Cited: 56
Time series-based groundwater level forecasting using gated recurrent unit deep neural networks
Haiping Lin, Amin Gharehbaghi, Qian Zhang, et al.
Engineering Applications of Computational Fluid Mechanics (2022) Vol. 16, Iss. 1, pp. 1655-1672
Open Access | Times Cited: 51
Short-term wind power prediction optimized by multi-objective dragonfly algorithm based on variational mode decomposition
Yilin Zhou, Jianzhou Wang, Haiyan Lu, et al.
Chaos Solitons & Fractals (2022) Vol. 157, pp. 111982-111982
Closed Access | Times Cited: 45
Carbon price combination prediction model based on improved variational mode decomposition
Guohui Li, Caifeng Zheng, Hong Yang
Energy Reports (2022) Vol. 8, pp. 1644-1664
Open Access | Times Cited: 37
Short-term prediction of reference crop evapotranspiration based on machine learning with different decomposition methods in arid areas of China
Yingjie Lu, Tao Li, Hui Hu, et al.
Agricultural Water Management (2023) Vol. 279, pp. 108175-108175
Open Access | Times Cited: 33
A hybrid framework based on LSTM for predicting karst spring discharge using historical data
Wenrui Zhang, Limin Duan, Tingxi Liu, et al.
Journal of Hydrology (2024) Vol. 633, pp. 130946-130946
Closed Access | Times Cited: 11
A novel hybrid deep-learning framework for medium-term container throughput forecasting: an application to China’s Guangzhou, Qingdao and Shanghai hub ports
Di Zhang, Xinyuan Li, Chengpeng Wan, et al.
Maritime Economics & Logistics (2024) Vol. 26, Iss. 1, pp. 44-73
Closed Access | Times Cited: 8
A new intelligent method for monthly streamflow prediction: hybrid wavelet support vector regression based on grey wolf optimizer (WSVR–GWO)
Yazid Tikhamarine, Doudja Souag-Gamane, Özgür Kişi
Arabian Journal of Geosciences (2019) Vol. 12, Iss. 17
Closed Access | Times Cited: 73
A novel system based on neural networks with linear combination framework for wind speed forecasting
Jianzhou Wang, Na Zhang, Haiyan Lu
Energy Conversion and Management (2018) Vol. 181, pp. 425-442
Closed Access | Times Cited: 65
Vibration trend measurement for a hydropower generator based on optimal variational mode decomposition and an LSSVM improved with chaotic sine cosine algorithm optimization
Wenlong Fu, Kai Wang, Chaoshun Li, et al.
Measurement Science and Technology (2018) Vol. 30, Iss. 1, pp. 015012-015012
Closed Access | Times Cited: 64
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