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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:

Enhanced LSTM Model for Daily Runoff Prediction in the Upper Huai River Basin, China
Yuanyuan Man, Qinli Yang, Junming Shao, et al.
Engineering (2022) Vol. 24, pp. 229-238
Open Access | Times Cited: 40

Showing 1-25 of 40 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
Incorporating multiple grid-based data in CNN-LSTM hybrid model for daily runoff prediction in the source region of the Yellow River Basin
F.X. Hu, Qinli Yang, J. Yang, et al.
Journal of Hydrology Regional Studies (2024) Vol. 51, pp. 101652-101652
Open Access | Times Cited: 21
Development of a Multi-objective Optimal Operation Model of a Dam using Meteorological Ensemble Forecasts for Flood Control
Mitra Tanhapour, Jaber Soltani, Hadi Shakibian, et al.
Water Resources Management (2025)
Open Access | Times Cited: 1
A new hybrid model for monthly runoff prediction using ELMAN neural network based on decomposition-integration structure with local error correction method
Dongmei Xu, Xiao-xue Hu, Wenchuan Wang, et al.
Expert Systems with Applications (2023) Vol. 238, pp. 121719-121719
Closed Access | Times Cited: 34
High temporal resolution urban flood prediction using attention-based LSTM models
Lin Zhang, Huapeng Qin, Junqi Mao, et al.
Journal of Hydrology (2023) Vol. 620, pp. 129499-129499
Closed Access | Times Cited: 27
Application of a hybrid algorithm of LSTM and Transformer based on random search optimization for improving rainfall-runoff simulation
Wenzhong Li, Chengshuai Liu, Caihong Hu, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 9
Machine learning method is an alternative for the hydrological model in an alpine catchment in the Tianshan region, Central Asia
Wenting Liang, Yaning Chen, Gonghuan Fang, et al.
Journal of Hydrology Regional Studies (2023) Vol. 49, pp. 101492-101492
Open Access | Times Cited: 18
Assessing the performance and interpretability of the CNN-LSTM-Attention model for daily streamflow forecasting in typical basins of the eastern Qinghai-Tibet Plateau
Chuchu Zhang, Yuyan Zhou, Lu Fan, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
LSTM-FKAN coupled with feature extraction technique for Precipitation–Runoff modeling
Tongfang Li, Kairong Lin, Tian Lan, et al.
Journal of Hydrology (2025) Vol. 652, pp. 132705-132705
Closed Access
WaveTransTimesNet: an enhanced deep learning monthly runoff prediction model based on wavelet transform and transformer architecture
Dongmei Xu, Zong Li, Wenchuan Wang, et al.
Stochastic Environmental Research and Risk Assessment (2025)
Closed Access
Improving flood-prone areas mapping using geospatial artificial intelligence (GeoAI): A non-parametric algorithm enhanced by math-based metaheuristic algorithms
Seyed Vahid Razavi-Termeh, Abolghasem Sadeghi‐Niaraki, Farman Ali, et al.
Journal of Environmental Management (2025) Vol. 375, pp. 124238-124238
Closed Access
Mixture of experts leveraging informer and LSTM variants for enhanced daily streamflow forecasting
Zerong Rong, Wei Sun, Yutong Xie, et al.
Journal of Hydrology (2025), pp. 132737-132737
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
A Grid-Based Long Short-Term Memory Framework for Runoff Projection and Uncertainty in the Yellow River Source Area Under CMIP6 Climate Change
Haibo Chu, Yulin Jiang, Zhuoqi Wang
Water (2025) Vol. 17, Iss. 5, pp. 750-750
Open Access
Sea level forecasting using deep recurrent neural networks with high-resolution hydrodynamic model
Saeed Rajabi-Kiasari, Artu Ellmann, Nicole Delpeche‐Ellmann
Applied Ocean Research (2025) Vol. 157, pp. 104496-104496
Open Access
Dual-modality Encoder-decoder Framework for Urban Real-time Rainfall-runoff Prediction
Yuan Tian, Ruonan Cui, Weiming Fu, et al.
Water Resources Management (2025)
Closed Access
An enhanced monthly runoff forecasting using least squares support vector machine based on Harris hawks optimization and secondary decomposition
Dongmei Xu, Xiao-xue Hu, Wenchuan Wang, et al.
Earth Science Informatics (2023) Vol. 16, Iss. 3, pp. 2089-2109
Closed Access | Times Cited: 15
The prediction model of water level in front of the check gate of the LSTM neural network based on AIW-CLPSO
Linqing Gao, Dengzhe Ha, Litao Ma, et al.
Journal of Combinatorial Optimization (2024) Vol. 47, Iss. 2
Closed Access | Times Cited: 4
BiLSTM-InceptionV3-Transformer-fully-connected model for short-term wind power forecasting
Linfei Yin, Yujie Sun
Energy Conversion and Management (2024) Vol. 321, pp. 119094-119094
Closed Access | Times Cited: 3
Value of process understanding in the era of machine learning: A case for recession flow prediction
Prashant Istalkar, Akshay Kadu, Basudev Biswal
Journal of Hydrology (2023) Vol. 626, pp. 130350-130350
Closed Access | Times Cited: 9
Early Flood Monitoring and Forecasting System Using a Hybrid Machine Learning-Based Approach
Eleni-Ioanna Koutsovili, Ourania Tzoraki, Nicolaos Theodossiou, et al.
ISPRS International Journal of Geo-Information (2023) Vol. 12, Iss. 11, pp. 464-464
Open Access | Times Cited: 9
Prediction of Dichloroethene Concentration in the Groundwater of a Contaminated Site Using XGBoost and LSTM
Feiyang Xia, Dengdeng Jiang, Lingya Kong, et al.
International Journal of Environmental Research and Public Health (2022) Vol. 19, Iss. 15, pp. 9374-9374
Open Access | Times Cited: 15
Effect of Gradient Descent Optimizers and Dropout Technique on Deep Learning LSTM Performance in Rainfall-runoff Modeling
Duong Tran Anh, Dat Vi Thanh, Hoang Le, et al.
Water Resources Management (2022) Vol. 37, Iss. 2, pp. 639-657
Closed Access | Times Cited: 14
Performance of LSTM over SWAT in Rainfall-Runoff Modeling in a Small, Forested Watershed: A Case Study of Cork Brook, RI
Shiva Gopal Shrestha, Soni M. Pradhanang
Water (2023) Vol. 15, Iss. 23, pp. 4194-4194
Open Access | Times Cited: 8
Attribution of Runoff Variation in Reservoir Construction Area: Based on a Merged Deep Learning Model and the Budyko Framework
Lilan Zhang, Xiaohong Chen, Bensheng Huang, et al.
Atmosphere (2024) Vol. 15, Iss. 2, pp. 164-164
Open Access | Times Cited: 2
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