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:

Deriving hydropower reservoir operation policy using data-driven artificial intelligence model based on pattern recognition and metaheuristic optimizer
Zhong-kai Feng, Wen-jing Niu, Taiheng Zhang, et al.
Journal of Hydrology (2023) Vol. 624, pp. 129916-129916
Closed Access | Times Cited: 15

Showing 15 citing articles:

Peak operation optimization of cascade hydropower reservoirs and solar power plants considering output forecasting uncertainty
Zhong-kai Feng, Qingqing Huang, Wen-jing Niu, et al.
Applied Energy (2024) Vol. 358, pp. 122533-122533
Closed Access | Times Cited: 18

Multi-objective optimal scheduling of cascade reservoirs in complex basin systems: Case study of the Jinsha River-Yalong River confluence basin in China
Zhaocai Wang, Zhihua Zhu, Hualong Luan, et al.
Journal of Hydrology Regional Studies (2025) Vol. 58, pp. 102240-102240
Closed Access | Times Cited: 1

A multi-objective cooperation search algorithm for cascade reservoirs operation optimization considering power generation and ecological flows
Zhong-kai Feng, Li Zhang, Mo Li, et al.
Applied Soft Computing (2023) Vol. 150, pp. 111085-111085
Closed Access | Times Cited: 15

Comparative Analysis of Artificial Intelligence Methods for Streamflow Forecasting
Wei Yaxing, Huzaifa Hashim, Sai Hin Lai, et al.
IEEE Access (2024) Vol. 12, pp. 10865-10885
Open Access | Times Cited: 4

Artificial intelligence-based response surface progressive optimality algorithm for operation optimization of multiple hydropower reservoirs
Wen-jing Niu, Tao Luo, Xin-ru Yao, et al.
Energy (2024) Vol. 291, pp. 130449-130449
Closed Access | Times Cited: 4

Value of long-term inflow forecast for hydropower operation: A case study in a low forecast precision region
Xingsheng Shu, Wei Ding, Yong Peng, et al.
Energy (2024) Vol. 298, pp. 131218-131218
Closed Access | Times Cited: 3

Digitalization, Industry 4.0, Data, KPIs, Modelization and Forecast for Energy Production in Hydroelectric Power Plants: A Review
Crescenzo Pepe, Silvia Maria Zanoli
Energies (2024) Vol. 17, Iss. 4, pp. 941-941
Open Access | Times Cited: 2

Enhanced machine learning model via twin support vector regression for streamflow time series forecasting of hydropower reservoir
Xinyue Fu, Zhong-kai Feng, Hui Cao, et al.
Energy Reports (2023) Vol. 10, pp. 2623-2639
Open Access | Times Cited: 6

A novel reservoir dispatching rules extraction framework based on hybrid embedding informer
Shuai Liu, Hui Qin, Zhengyang Tang, et al.
Journal of Hydrology (2024), pp. 132047-132047
Closed Access | Times Cited: 1

A Novel Twin Support Vector Regression Model for Wind Speed Time-Series Interval Prediction
Xinyue Fu, Zhong-kai Feng, Xin-ru Yao, et al.
Energies (2023) Vol. 16, Iss. 15, pp. 5656-5656
Open Access | Times Cited: 3

Hierarchical Temporal Scale Framework for Real-Time Streamflow Prediction in Reservoir-Regulated Basins
Jiaxuan Chang, Xuefeng Sang, Junlin Qu, et al.
Research Square (Research Square) (2024)
Open Access

Stochastic optimization to maximize water supply index in conjunctive use of surface and groundwater
Mina Khosravi, Abbas Afshar, Paolo Perona, et al.
Journal of Hydrology (2024), pp. 132377-132377
Open Access

A deep reinforcement learning approach for joint scheduling of cascade reservoir system
Wei Luo, Chao Wang, Yunhui Zhang, et al.
Journal of Hydrology (2024), pp. 132515-132515
Closed Access

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