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 multi-component hybrid system based on predictability recognition and modified multi-objective optimization for ultra-short-term onshore wind speed forecasting
Yuyang Gao, Jianzhou Wang, Hufang Yang
Renewable Energy (2022) Vol. 188, pp. 384-401
Closed Access | Times Cited: 50

Showing 1-25 of 50 citing articles:

A hybrid photovoltaic/wind power prediction model based on Time2Vec, WDCNN and BiLSTM
Donghan Geng, Bo Wang, Qi Gao
Energy Conversion and Management (2023) Vol. 291, pp. 117342-117342
Closed Access | Times Cited: 43

A wind speed forecasting system for the construction of a smart grid with two-stage data processing based on improved ELM and deep learning strategies
Jianzhou Wang, Xinsong Niu, Lifang Zhang, et al.
Expert Systems with Applications (2023) Vol. 241, pp. 122487-122487
Closed Access | Times Cited: 42

Short-term photovoltaic power forecasting based on signal decomposition and machine learning optimization
Yilin Zhou, Jianzhou Wang, Zhiwu Li, et al.
Energy Conversion and Management (2022) Vol. 267, pp. 115944-115944
Closed Access | Times Cited: 61

Deterministic and uncertainty crude oil price forecasting based on outlier detection and modified multi-objective optimization algorithm
Chunying Wu, Jianzhou Wang, Hao Yan
Resources Policy (2022) Vol. 77, pp. 102780-102780
Closed Access | Times Cited: 51

Combined forecasting tool for renewable energy management in sustainable supply chains
Yuhuan Sun, Jiao Ding, Zhenkun Liu, et al.
Computers & Industrial Engineering (2023) Vol. 179, pp. 109237-109237
Closed Access | Times Cited: 37

Current status, future prediction and offset potential of fossil fuel CO2 emissions in China
Jiaxi Cao, Jian Zhang, Ye Chen, et al.
Journal of Cleaner Production (2023) Vol. 426, pp. 139207-139207
Open Access | Times Cited: 26

Interval forecasting for wind speed using a combination model based on multiobjective artificial hummingbird algorithm
Peiqi Sun, Zhenkun Liu, Jianzhou Wang, et al.
Applied Soft Computing (2023) Vol. 150, pp. 111090-111090
Closed Access | Times Cited: 26

A new perspective of wind speed forecasting: Multi-objective and model selection-based ensemble interval-valued wind speed forecasting system
Hao Yan, Xiaodi Wang, Jianzhou Wang, et al.
Energy Conversion and Management (2023) Vol. 299, pp. 117868-117868
Closed Access | Times Cited: 25

Short term wind speed prediction based on CEESMDAN and improved seagull optimization kernel extreme learning machine
Xiwen Qin, Liping Yuan, Xiaogang Dong, et al.
Earth Science Informatics (2025) Vol. 18, Iss. 1
Closed Access | Times Cited: 1

The influence of international oil prices on the exchange rates of oil exporting countries: Based on the hybrid copula function
Jianzhou Wang, Xinsong Niu, Lifang Zhang, et al.
Resources Policy (2022) Vol. 77, pp. 102734-102734
Closed Access | Times Cited: 33

What should lenders be more concerned about? Developing a profit-driven loan default prediction model
Lifang Zhang, Jianzhou Wang, Zhenkun Liu
Expert Systems with Applications (2022) Vol. 213, pp. 118938-118938
Closed Access | Times Cited: 30

Wind Energy Harvesting and Conversion Systems: A Technical Review
Sinhara M. H. D. Perera, Ghanim Putrus, Michael Conlon, et al.
Energies (2022) Vol. 15, Iss. 24, pp. 9299-9299
Open Access | Times Cited: 30

De-Trend First, Attend Next: A Mid-Term PV forecasting system with attention mechanism and encoder–decoder structure
Yunbo Niu, Jianzhou Wang, Ziyuan Zhang, et al.
Applied Energy (2023) Vol. 353, pp. 122169-122169
Closed Access | Times Cited: 22

A unified multi-step wind speed forecasting framework based on numerical weather prediction grids and wind farm monitoring data
Xingdou Liu, Li Zhang, Jiangong Wang, et al.
Renewable Energy (2023) Vol. 211, pp. 948-963
Open Access | Times Cited: 21

Hybrid model for profit-driven churn prediction based on cost minimization and return maximization
Ping Jiang, Zhenkun Liu, Lifang Zhang, et al.
Expert Systems with Applications (2023) Vol. 228, pp. 120354-120354
Closed Access | Times Cited: 19

Dynamic adaptive spatio-temporal graph neural network for multi-node offshore wind speed forecasting
Ziheng Gao, Zhuolin Li, Lingyu Xu, et al.
Applied Soft Computing (2023) Vol. 141, pp. 110294-110294
Closed Access | Times Cited: 18

Review of Estimating and Predicting Models of the Wind Energy Amount
Владимир Сергеевич Симанков, Pavel Yu. Buchatskiy, Semen V. Teploukhov, et al.
Energies (2023) Vol. 16, Iss. 16, pp. 5926-5926
Open Access | Times Cited: 17

Novel wind-speed prediction system based on dimensionality reduction and nonlinear weighting strategy for point-interval prediction
Xinyu Wang, Jianzhou Wang, Xinsong Niu, et al.
Expert Systems with Applications (2023) Vol. 241, pp. 122477-122477
Closed Access | Times Cited: 17

Point and interval wind speed forecasting of multivariate time series based on dual-layer LSTM
Haipeng Zhang, Jianzhou Wang, Yuansheng Qian, et al.
Energy (2024) Vol. 294, pp. 130875-130875
Closed Access | Times Cited: 8

Assessing the engineering, environmental and economic aspects of repowering onshore wind energy
Faraedoon Waly Ahmed, Aoife Foley, Carole Dowds, et al.
Energy (2024) Vol. 301, pp. 131759-131759
Closed Access | Times Cited: 6

A fuzzy intelligent forecasting system based on combined fuzzification strategy and improved optimization algorithm for renewable energy power generation
Hufang Yang, Ping Jiang, Ying Wang, et al.
Applied Energy (2022) Vol. 325, pp. 119849-119849
Closed Access | Times Cited: 28

Novel deterministic and probabilistic combined system based on deep learning and self-improved optimization algorithm for wind speed forecasting
Mengzheng Lv, Jing Li, Xinsong Niu, et al.
Sustainable Energy Technologies and Assessments (2022) Vol. 52, pp. 102186-102186
Closed Access | Times Cited: 24

Research of a novel combined deterministic and probabilistic forecasting system for air pollutant concentration
Qianyi Xing, Jianzhou Wang, He Jiang, et al.
Expert Systems with Applications (2023) Vol. 228, pp. 120117-120117
Closed Access | Times Cited: 16

Decomposition-Selection-Ensemble Prediction System for Short-Term Wind Speed Forecasting
Ping Jiang, Zhenkun Liu, Jianzhou Wang, et al.
Electric Power Systems Research (2022) Vol. 211, pp. 108186-108186
Closed Access | Times Cited: 22

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