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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:

Metaheuristic evolutionary deep learning model based on temporal convolutional network, improved aquila optimizer and random forest for rainfall-runoff simulation and multi-step runoff prediction
Xiujie Qiao, Peng Tian, Na Sun, et al.
Expert Systems with Applications (2023) Vol. 229, pp. 120616-120616
Closed Access | Times Cited: 35

Showing 1-25 of 35 citing articles:

Spatio-temporal deep learning model for accurate streamflow prediction with multi-source data fusion
Zhaocai Wang, Nannan Xu, Xiaoguang Bao, et al.
Environmental Modelling & Software (2024) Vol. 178, pp. 106091-106091
Closed Access | Times Cited: 33
A novel DWTimesNet-based short-term multi-step wind power forecasting model using feature selection and auto-tuning methods
Chu Zhang, Yuhan Wang, Yongyan Fu, et al.
Energy Conversion and Management (2024) Vol. 301, pp. 118045-118045
Closed Access | Times Cited: 20
Enhancing state of charge and state of energy estimation in Lithium-ion batteries based on a TimesNet model with Gaussian data augmentation and error correction
Chu Zhang, Yue Zhang, Zhengbo Li, et al.
Applied Energy (2024) Vol. 359, pp. 122669-122669
Closed Access | Times Cited: 15
An evolutionary deep learning model based on EWKM, random forest algorithm, SSA and BiLSTM for building energy consumption prediction
Lei Lei, Suola Shao, Lixia Liang
Energy (2023) Vol. 288, pp. 129795-129795
Closed Access | Times Cited: 37
Comparison of strategies for multistep-ahead lake water level forecasting using deep learning models
Gang Li, Zhangkang Shu, Miaoli Lin, et al.
Journal of Cleaner Production (2024) Vol. 444, pp. 141228-141228
Closed Access | Times Cited: 12
Hybrid solar radiation forecasting model with temporal convolutional network using data decomposition and improved artificial ecosystem-based optimization algorithm
Yuhan Wang, Chu Zhang, Yongyan Fu, et al.
Energy (2023) Vol. 280, pp. 128171-128171
Closed Access | Times Cited: 19
A hybrid annual runoff prediction model using echo state network and gated recurrent unit based on sand cat swarm optimization with Markov chain error correction method
Jun Wang, Wenchuan Wang, Xiao-xue Hu, et al.
Journal of Hydroinformatics (2024) Vol. 26, Iss. 6, pp. 1425-1453
Open Access | Times Cited: 6
SMGformer: integrating STL and multi-head self-attention in deep learning model for multi-step runoff forecasting
Wenchuan Wang, M. H. Gu, Yang-hao Hong, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 6
Forecasting solar power generation using evolutionary mating algorithm-deep neural networks
Mohd Herwan Sulaiman, Zuriani Mustaffa
Energy and AI (2024) Vol. 16, pp. 100371-100371
Open Access | Times Cited: 5
Research on runoff process vectorization and integration of deep learning algorithms for flood forecasting
Chengshuai Liu, Wenzhong Li, Caihong Hu, et al.
Journal of Environmental Management (2024) Vol. 362, pp. 121260-121260
Closed Access | Times Cited: 5
A novel daily runoff forecasting model based on global features and enhanced local feature interpretation
Dongmei Xu, Yang-hao Hong, Wenchuan Wang, et al.
Journal of Hydrology (2024), pp. 132227-132227
Closed Access | Times Cited: 5
Urban real-time rainfall-runoff prediction using adaptive SSA-decomposition with dual attention
Yuan Tian, Weiming Fu, Yi Xiang, et al.
Journal of Hydrology (2025), pp. 132701-132701
Closed Access
Enhancing daily runoff forecasting in hydropower basins with a voting ensemble model using historical data
Ngoc Anh Le, Phong Nguyen Thanh, Nhat Truong Pham, et al.
Hydrological Sciences Journal (2025), pp. 1-13
Closed Access
Research on a hybrid model for flood probability prediction based on time convolutional network and particle swarm optimization algorithm
Qiying Yu, Chengshuai Liu, Runxi Li, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
A Survey on Disaster Prediction Methods
Rui Xu, Bing Xie, Xueqiang Gu, et al.
Lecture notes in electrical engineering (2025), pp. 574-585
Closed Access
Neural Networks and Fuzzy Logic-Based Approaches for Precipitation Estimation: A Systematic Review
Andres Felipe Ruiz-Hurtado, Viviana Vargas-Franco, Luis Octavio González Salcedo
Ingeniería e Investigación (2025) Vol. 44, Iss. 3, pp. e108609-e108609
Open Access
A runoff prediction method based on hyperparameter optimisation of a kernel extreme learning machine with multi-step decomposition
Xianqi Zhang, Fang Liu, Qiuwen Yin, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 7
Probabilistic runoff forecasting considering stepwise decomposition framework and external factor integration structure
Chaojin Cao, Yaoyao He, Siyu Cai
Expert Systems with Applications (2023) Vol. 236, pp. 121350-121350
Closed Access | Times Cited: 6
Application of the Improved K-Nearest Neighbor-Based Multi-Model Ensemble Method for Runoff Prediction
Tao Xie, Lu Chen, Bin Yi, et al.
Water (2023) Vol. 16, Iss. 1, pp. 69-69
Open Access | Times Cited: 6
Network traffic grant classification based on 1DCNN-TCN-GRU hybrid model
Lina Mo, Xiaogang Qi, Lifang Liu
Applied Intelligence (2024) Vol. 54, Iss. 6, pp. 4834-4847
Closed Access | Times Cited: 1
Connecting flow duration curve and precipitation duration curve based on the relationship deduced from machine learning in the watersheds of northern China
Lan Ma, Dengfeng Liu, Jinkai Luan, et al.
Journal of Hydrology (2024) Vol. 635, pp. 131235-131235
Closed Access | Times Cited: 1
Gaussian mutation–orca predation algorithm–deep residual shrinkage network (DRSN)–temporal convolutional network (TCN)–random forest model: an advanced machine learning model for predicting monthly rainfall and filtering irrelevant data
Mohammad Ehteram, Mahdie Afshari Nia, Fatemeh Panahi, et al.
Environmental Sciences Europe (2024) Vol. 36, Iss. 1
Open Access | Times Cited: 1
Hybrid Photovoltaic Output Forecasting Model with Temporal Convolutional Network Using Maximal Information Coefficient and White Shark Optimizer
Xilong Lin, Yisen Niu, Zixuan Yan, et al.
Sustainability (2024) Vol. 16, Iss. 14, pp. 6102-6102
Open Access | Times Cited: 1
A Temporal Convolutional Neural Network Fusion Attention Mechanism Runoff Prediction Model Based on Dynamic Decomposition Reconstruction Integration Processing
Qin Zhou, Yongchuan Zhang, Hui Qin, et al.
Water (2024) Vol. 16, Iss. 23, pp. 3515-3515
Open Access | Times Cited: 1
A Multi-Factor Combination Model for Medium to Long-Term Runoff Prediction Based on Improved BP Neural Network
Kun Yan, Shang Gao, Jinhua Wen, et al.
Water (2023) Vol. 15, Iss. 20, pp. 3559-3559
Open Access | Times Cited: 2
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