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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 multi-source data-driven model of lake water level based on variational modal decomposition and external factors with optimized bi-directional long short-term memory neural network
Ruiqin Tan, Yuan Hu, Zhaocai Wang
Environmental Modelling & Software (2023) Vol. 167, pp. 105766-105766
Closed Access | Times Cited: 18

Showing 18 citing articles:

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: 23
A Hybrid Data-Driven Deep Learning Prediction Framework for Lake Water Level Based on Fusion of Meteorological and Hydrological Multi-source Data
Zhiyuan Yao, Zhaocai Wang, Tunhua Wu, et al.
Natural Resources Research (2023) Vol. 33, Iss. 1, pp. 163-190
Closed Access | Times Cited: 16
Long-term trends in water level fluctuations in lowland lakes in central Europe (Northern Poland)
Mariusz Ptak, Katarzyna Szyga–Pluta, Mariusz Sojka
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Predicting cobalt ion concentration in hydrometallurgy zinc process using data decomposition and machine learning
Y. X. Tan, Wei Xu, Kai Yang, et al.
The Science of The Total Environment (2025) Vol. 962, pp. 178420-178420
Closed Access
Enhanced water quality prediction model using advanced hybridized resampling alternating tree-based and deep learning algorithms
Khabat Khosravi, Aitazaz A. Farooque, Masoud Karbasi, et al.
Environmental Science and Pollution Research (2025)
Closed Access
Exploring a long short-term memory for mountain flood forecasting based on watershed-internal knowledge graph and large language model
Songsong Wang, Ouguan Xu
PLoS ONE (2025) Vol. 20, Iss. 3, pp. e0318644-e0318644
Open Access
Forecasting the potential of reclaimed water using signal decomposition and deep learning
Yinglong Chen, Hongling Zhang, Jingkai Peng, et al.
Journal of Water Process Engineering (2024) Vol. 65, pp. 105770-105770
Closed Access | Times Cited: 2
A water quality prediction model based on signal decomposition and ensemble deep learning techniques
Jinghan Dong, Zhaocai Wang, Junhao Wu, et al.
Water Science & Technology (2023) Vol. 88, Iss. 10, pp. 2611-2632
Open Access | Times Cited: 4
Ultra-early prediction of the process parameters of coal chemical production
Zheng Li, Min Yao, Zhenmin Luo, et al.
Heliyon (2024) Vol. 10, Iss. 9, pp. e30821-e30821
Open Access | Times Cited: 1
Short-term prediction of water level based on deep learning in the downstream area of the Three Gorges Reservoir
Xianghu Mao, Biao Xiong, Xin Luo, et al.
Natural Hazards (2024)
Closed Access | Times Cited: 1
Unravelling the spatiotemporal variation in the water levels of Poyang Lake with the variational mode decomposition model
Min Gan, Xijun Lai, Yan Guo, et al.
Hydrological Processes (2024) Vol. 38, Iss. 7
Closed Access | Times Cited: 1
Incorporating Recursive Feature Elimination and Decomposed Ensemble Modeling for Monthly Runoff Prediction
Wei Ma, Zhang Xiao, Yu Shen, et al.
Water (2024) Vol. 16, Iss. 21, pp. 3102-3102
Open Access | Times Cited: 1
Short term prediction of water level based on deep learning during the flood season, in the downstream area of The Three Gorges Reservoir
Xianghu Mao, Biao Xiong, Tiantian Li, et al.
Research Square (Research Square) (2024)
Open 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
Hydroformer: Frequency Domain Enhanced Multi‐Attention Transformer for Monthly Lake Level Reconstruction With Low Data Input Requirements
Minglei Hou, Jiahua Wei, Yang Shi, et al.
Water Resources Research (2024) Vol. 60, Iss. 10
Open Access
Lake Water Level Forecasting Using LSTM and GRU: A Deep Learning Approach
Yuxin Du, Jing Fan, Ari Happonen, et al.
Lecture notes in networks and systems (2024), pp. 197-216
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
A novel operational water quality mobile prediction system with LSTM-Seq2Seq model
Lizi Xie, Yanxin Zhao, Fang Pan, et al.
Environmental Modelling & Software (2024) Vol. 185, pp. 106290-106290
Closed Access
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