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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 framework of integrating heterogeneous data sources for monthly streamflow prediction using a state-of-the-art deep learning model
Wenxin Xu, Jie Chen, XC Zhang, et al.
Journal of Hydrology (2022) Vol. 614, pp. 128599-128599
Closed Access | Times Cited: 24

Showing 24 citing articles:

A review of hybrid deep learning applications for streamflow forecasting
Kin‐Wang Ng, Yuk Feng Huang, Chai Hoon Koo, et al.
Journal of Hydrology (2023) Vol. 625, pp. 130141-130141
Closed Access | Times Cited: 77
Ensemble learning using multivariate variational mode decomposition based on the Transformer for multi-step-ahead streamflow forecasting
Jinjie Fang, Linshan Yang, Xiaohu Wen, et al.
Journal of Hydrology (2024) Vol. 636, pp. 131275-131275
Closed Access | Times Cited: 17
Coupling Deep Learning and Physically Based Hydrological Models for Monthly Streamflow Predictions
Wenxin Xu, Jie Chen, Gerald Corzo, et al.
Water Resources Research (2024) Vol. 60, Iss. 2
Open Access | Times Cited: 16
An explainable multiscale LSTM model with wavelet transform and layer-wise relevance propagation for daily streamflow forecasting
Lizhi Tao, Zhichao Cui, Yufeng He, et al.
The Science of The Total Environment (2024) Vol. 929, pp. 172465-172465
Closed Access | Times Cited: 12
Improvement of streamflow simulation by combining physically hydrological model with deep learning methods in data-scarce glacial river basin
Chengde Yang, Min Xu, Shichang Kang, et al.
Journal of Hydrology (2023) Vol. 625, pp. 129990-129990
Closed Access | Times Cited: 20
Heterogeneous data integration: Challenges and opportunities
I Made Putrama, Péter Martinek
Data in Brief (2024) Vol. 56, pp. 110853-110853
Open Access | Times Cited: 7
How to enhance hydrological predictions in hydrologically distinct watersheds of the Indian subcontinent?
Nikunj K. Mangukiya, Ashutosh Sharma, Chaopeng Shen
Hydrological Processes (2023) Vol. 37, Iss. 7
Open Access | Times Cited: 13
VMDI-LSTM-ED: A novel enhanced decomposition ensemble model incorporating data integration for accurate non-stationary daily streamflow forecasting
Jiadong Liu, Teng Xu, Chunhui Lu
Journal of Hydrology (2025), pp. 132769-132769
Closed Access
Solving complex flood wave propagation using split Coefficient-based Physical Informed Neural Network
Changxun Zhan, Ting Zhang, Siqian Zhang, et al.
Journal of Hydrology (2025), pp. 132835-132835
Closed Access
5G Beyond for Healthcare: Leveraging AI/ML and Diverse Datasets for Cybersecurity
Ali Hassan Sodhro, Muhammad Irfan Younas Mughal, Muhammad Iqbal
Communications in computer and information science (2025), pp. 45-66
Closed Access
Data reformation – A novel data processing technique enhancing machine learning applicability for predicting streamflow extremes
Vinh Ngoc Tran, V. Y. Ivanov, Jongho Kim
Advances in Water Resources (2023) Vol. 182, pp. 104569-104569
Open Access | Times Cited: 11
Monthly Runoff Prediction for Xijiang River via Gated Recurrent Unit, Discrete Wavelet Transform, and Variational Modal Decomposition
Yuanyuan Yang, Weiyan Li, Dengfeng Liu
Water (2024) Vol. 16, Iss. 11, pp. 1552-1552
Open Access | Times Cited: 3
Runoff Simulation in Data-Scarce Alpine Regions: Comparative Analysis Based on LSTM and Physically Based Models
Jiajia Yue, Li Zhou, Juan Du, et al.
Water (2024) Vol. 16, Iss. 15, pp. 2161-2161
Open Access | Times Cited: 3
Enhancing the streamflow simulation of a process-based hydrological model using machine learning and multi-source data
Huajin Lei, Hongyi Li, Wanpin Hu
Ecological Informatics (2024) Vol. 82, pp. 102755-102755
Open Access | Times Cited: 3
Investigating the potential of EMA-embedded feature selection method for ESVR and LSTM to enhance the robustness of monthly streamflow forecasting from local meteorological information
Lei Xu, Peng Shi, Hongshi Wu, et al.
Journal of Hydrology (2024) Vol. 636, pp. 131230-131230
Closed Access | Times Cited: 2
Estimating streamflow of the Kızılırmak River, Turkey with single- and multi-station datasets using Random Forests
Mustafa Sahin Dogan
Water Science & Technology (2023) Vol. 87, Iss. 11, pp. 2742-2755
Open Access | Times Cited: 6
Inconsistent Monthly Runoff Prediction Models Using Mutation Tests and Machine Learning
Miaomiao Ren, Wei Sun, Shu Chen, et al.
Water Resources Management (2024) Vol. 38, Iss. 13, pp. 5235-5254
Closed Access | Times Cited: 1
A coupled model integrating dual attention mechanism into BiGRU-RED for multi-step-ahead streamflow forecasting
Chunlin Huang, Ting Zhou, Weide Li, et al.
Journal of Hydrology (2024) Vol. 645, pp. 132137-132137
Closed Access | Times Cited: 1
Enhancing flood risk assessment in northern Morocco with tuned machine learning and advanced geospatial techniques
Wassima Moutaouakil, Soufiane Hamida, Shawki Saleh, et al.
Journal of Geographical Sciences (2024) Vol. 34, Iss. 12, pp. 2477-2508
Closed Access | Times Cited: 1
Adaptive Momentum-Backpropagation Algorithm for Flood Prediction and Management in the Internet of Things
Jayaraj Thankappan, Delphin Raj Kesari Mary, Dong Jin Yoon, et al.
Computers, materials & continua/Computers, materials & continua (Print) (2023) Vol. 77, Iss. 1, pp. 1053-1079
Open Access | Times Cited: 2
A New Whole Life Cycle Index System for Evaluation of Runoff Forecasting
Xiaohui Yuan, Wenbin Hu, Chao Wang, et al.
Water Resources Management (2024) Vol. 38, Iss. 4, pp. 1419-1435
Closed Access
Estimating crop evapotranspiration of wheat-maize rotation system using hybrid convolutional bidirectional Long Short-Term Memory network with grey wolf algorithm in Chinese Loess Plateau region
Juan Dong, Yuanjun Zhu, Ningbo Cui, et al.
Agricultural Water Management (2024) Vol. 301, pp. 108924-108924
Open Access
An explainable Bayesian gated recurrent unit model for multi-step streamflow forecasting
Lizhi Tao, Nan Yang, Zhichao Cui, et al.
Journal of Hydrology Regional Studies (2024) Vol. 57, pp. 102141-102141
Open Access
Yamula barajının hidroelektrik rezervuar işletiminin makine öğrenimi ile simülasyonu
Mustafa Sahin Dogan
Ömer Halisdemir Üniversitesi Mühendislik Bilimleri Dergisi (2023)
Open Access
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