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 hybrid approach for measuring the vibrational trend of hydroelectric unit with enhanced multi-scale chaotic series analysis and optimized least squares support vector machine
Wenlong Fu, Kai Wang, Chu Zhang, et al.
Transactions of the Institute of Measurement and Control (2019) Vol. 41, Iss. 15, pp. 4436-4449
Closed Access | Times Cited: 61

Showing 1-25 of 61 citing articles:

Monthly runoff time series prediction by variational mode decomposition and support vector machine based on quantum-behaved particle swarm optimization
Zhong-kai Feng, Wen-jing Niu, Zhengyang Tang, et al.
Journal of Hydrology (2020) Vol. 583, pp. 124627-124627
Closed Access | Times Cited: 210

Rolling bearing fault diagnosis based on 2D time-frequency images and data augmentation technique
Wenlong Fu, Xiaohui Jiang, Bailin Li, et al.
Measurement Science and Technology (2022) Vol. 34, Iss. 4, pp. 045005-045005
Closed Access | Times Cited: 72

An improved long short-term memory network for streamflow forecasting in the upper Yangtze River
Shuang Zhu, Xiangang Luo, Xiaohui Yuan, et al.
Stochastic Environmental Research and Risk Assessment (2020) Vol. 34, Iss. 9, pp. 1313-1329
Closed Access | Times Cited: 125

Coordinated approach fusing time-shift multiscale dispersion entropy and vibrational Harris hawks optimization-based SVM for fault diagnosis of rolling bearing
Kaixuan Shao, Wenlong Fu, Jiawen Tan, et al.
Measurement (2020) Vol. 173, pp. 108580-108580
Closed Access | Times Cited: 122

A hybrid approach for multi-step wind speed forecasting based on two-layer decomposition, improved hybrid DE-HHO optimization and KELM
Wenlong Fu, Kai Zhang, Kai Wang, et al.
Renewable Energy (2020) Vol. 164, pp. 211-229
Closed Access | Times Cited: 86

Negative correlation learning-based RELM ensemble model integrated with OVMD for multi-step ahead wind speed forecasting
Peng Tian, Chu Zhang, Jianzhong Zhou, et al.
Renewable Energy (2020) Vol. 156, pp. 804-819
Closed Access | Times Cited: 73

Evolutionary artificial intelligence model via cooperation search algorithm and extreme learning machine for multiple scales nonstationary hydrological time series prediction
Zhong-kai Feng, Wen-jing Niu, Zhengyang Tang, et al.
Journal of Hydrology (2021) Vol. 595, pp. 126062-126062
Closed Access | Times Cited: 66

Predicting the yield of stepped corrugated solar distiller using kernel-based machine learning models
Mohamed E. Zayed, Vikrant P. Katekar, Rajesh Kumar Tripathy, et al.
Applied Thermal Engineering (2022) Vol. 213, pp. 118759-118759
Closed Access | Times Cited: 52

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

Hybrid artificial neural network and cooperation search algorithm for nonlinear river flow time series forecasting in humid and semi-humid regions
Zhong-kai Feng, Wen-jing Niu
Knowledge-Based Systems (2020) Vol. 211, pp. 106580-106580
Closed Access | Times Cited: 63

A blended approach incorporating TVFEMD, PSR, NNCT-based multi-model fusion and hierarchy-based merged optimization algorithm for multi-step wind speed prediction
Dongzhen Xiong, Wenlong Fu, Kai Wang, et al.
Energy Conversion and Management (2021) Vol. 230, pp. 113680-113680
Closed Access | Times Cited: 52

Automatic representation and detection of fault bearings in in-wheel motors under variable load conditions
Xianbo Wang, Luqing Luo, Lulu Tang, et al.
Advanced Engineering Informatics (2021) Vol. 49, pp. 101321-101321
Closed Access | Times Cited: 50

A modified variational mode decomposition method based on envelope nesting and multi-criteria evaluation
Yujie Zhao, Chaoshun Li, Wenlong Fu, et al.
Journal of Sound and Vibration (2019) Vol. 468, pp. 115099-115099
Closed Access | Times Cited: 46

Parallel computing and swarm intelligence based artificial intelligence model for multi-step-ahead hydrological time series prediction
Wen-jing Niu, Zhong-kai Feng, Bao-fei Feng, et al.
Sustainable Cities and Society (2020) Vol. 66, pp. 102686-102686
Closed Access | Times Cited: 45

A modified sine cosine algorithm for accurate global optimization of numerical functions and multiple hydropower reservoirs operation
Zhong-kai Feng, Shuai Liu, Wen-jing Niu, et al.
Knowledge-Based Systems (2020) Vol. 208, pp. 106461-106461
Closed Access | Times Cited: 43

Extended Isolation Forests for Fault Detection in Small Hydroelectric Plants
Rodrigo Barbosa de Santis, Marcelo Azevedo Costa
Sustainability (2020) Vol. 12, Iss. 16, pp. 6421-6421
Open Access | Times Cited: 42

A two-stage numerical simulation framework for pumped-storage energy system
Yang Zheng, Qijuan Chen, Donglin Yan, et al.
Energy Conversion and Management (2020) Vol. 210, pp. 112676-112676
Closed Access | Times Cited: 40

Dynamic programming with successive approximation and relaxation strategy for long-term joint power generation scheduling of large-scale hydropower station group
Zhongzheng He, Chao Wang, Yongqiang Wang, et al.
Energy (2021) Vol. 222, pp. 119960-119960
Closed Access | Times Cited: 38

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