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 secondary modal decomposition ensemble deep learning model for groundwater level prediction using multi-data
Xuefei Cui, Zhaocai Wang, Nannan Xu, et al.
Environmental Modelling & Software (2024) Vol. 175, pp. 105969-105969
Closed Access | Times Cited: 21

Showing 21 citing articles:

Interpretable prediction, classification and regulation of water quality: A case study of Poyang Lake, China
Zhiyuan Yao, Zhaocai Wang, Jinghan Huang, et al.
The Science of The Total Environment (2024) Vol. 951, pp. 175407-175407
Closed Access | Times Cited: 17

Enhancing carbon price point-interval multi-step-ahead prediction using a hybrid framework of autoformer and extreme learning machine with multi-factors
Baoli Wang, Zhaocai Wang, Zhiyuan Yao
Expert Systems with Applications (2025), pp. 126467-126467
Closed Access | Times Cited: 4

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

Regional ecological risk assessment and transfer mechanism based on improved gravity and social network analysis model: A case study of Northwest China
Ruiyang Li, Zhaocai Wang, Yanyu Li, et al.
Ecological Indicators (2025) Vol. 172, pp. 113243-113243
Closed Access

Enhance carbon emission prediction using bidirectional long short-term memory model based on text-based and data-driven multimodal information fusion
Yanyu Li, Zhaocai Wang, Siyu Liu
Journal of Cleaner Production (2024) Vol. 471, pp. 143301-143301
Closed Access | Times Cited: 3

Integrated Geospatial and Analytical Hierarchy Process Approach for Assessing Sustainable Management of Groundwater Recharge Potential in Barind Tract
M. Z. Hossain, Sajal Kumar Adhikary, Hrithik Nath, et al.
Water (2024) Vol. 16, Iss. 20, pp. 2918-2918
Open Access | Times Cited: 3

Research on runoff interval prediction method based on deep learning ensemble modeling with hydrological factors
Jinghan Huang, Zhaocai Wang, Jinghan Dong, et al.
Stochastic Environmental Research and Risk Assessment (2024)
Closed Access | Times Cited: 2

Motion interval prediction of a sea satellite launch platform based on VMD-QR-GRU
Qiangqiang Wei, Bo Wu, Xin Li, et al.
Ocean Engineering (2024) Vol. 312, pp. 119005-119005
Closed Access | Times Cited: 2

Waste management and water quality evaluation prediction in urban environments through advanced robust hybrid machine learning algorithms
Suhail H. Serbaya
Dynamics of Atmospheres and Oceans (2024), pp. 101495-101495
Closed Access | Times Cited: 2

An Adaptive Hybrid (1D-2D) Convolution-Based ShuffleNetV2 Mechanism for Irrigation Levels Prediction in Agricultural Fields With Smart IoTs
Xuehui Xu, R. S. M. Lakshmi Patibandla, Amit Arora, et al.
IEEE Access (2024) Vol. 12, pp. 71901-71918
Open Access | Times Cited: 2

Daily PM2.5 concentration prediction based on variational modal decomposition and deep learning for multi-site temporal and spatial fusion of meteorological factors
Xinrong Xie, Zhaocai Wang, Manli Xu, et al.
Environmental Monitoring and Assessment (2024) Vol. 196, Iss. 9
Closed Access | Times Cited: 1

Predicting Groundwater Net Recharge Using Machine Learning Models
Dima Al Atawneh, Nick Cartwright, Rebecca Doble, et al.
(2024)
Closed Access

A novel approach to forecast water table rise in arid regions using stacked ensemble machine learning and deep artificial intelligence models
Hussam Eldin Elzain, Osman Abdalla, Ali Al‐Maktoumi, et al.
Journal of Hydrology (2024) Vol. 640, pp. 131668-131668
Closed Access

Research on the Rapid Detection of Formaldehyde Emission From Wood-Based Panels Based on the AMSHKELM
Yinuo Wang, Huanqi Zheng, Hua Wang, et al.
IEEE Access (2024) Vol. 13, pp. 5112-5128
Open Access

Interval forecasting of Baltic Dry Index within a secondary decomposition-ensemble methodology
Gang Xie, Shuihan Liu, Hongyu Dong, et al.
Applied Soft Computing (2024) Vol. 166, pp. 112222-112222
Closed Access

Combining residual convolutional LSTM with attention mechanisms for spatiotemporal forest cover prediction
Bao Liu, Siqi Chen, Lei Gao
Environmental Modelling & Software (2024) Vol. 183, pp. 106260-106260
Open Access

Variable sensitivity analysis in groundwater level projections under climate change adopting a hybrid machine learning algorithm
Ali Sharghi, Mehdi Komasi, Masoud Ahmadi
Environmental Modelling & Software (2024) Vol. 183, pp. 106264-106264
Closed Access

Adaptive period decomposition network with muti-scale temporal variation learning for water level prediction
Hui Wang, Liping Wang, Qicang Qiu, et al.
Journal of Hydrology Regional Studies (2024) Vol. 57, pp. 102120-102120
Open Access

Day-ahead prediction of electric vehicle charging demand based on quadratic decomposition and dual attention mechanisms
Hongxia Guo, Lingxuan Chen, Zhaocai Wang, et al.
Applied Energy (2024) Vol. 381, pp. 125198-125198
Closed Access

Deep learning models for multi-step prediction of water levels incorporating meteorological variables and historical data
Lingxuan Chen, Zhaocai Wang, Ziang Jiang, et al.
Stochastic Environmental Research and Risk Assessment (2024)
Closed Access

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