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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:

Artificial intelligence modelling integrated with Singular Spectral analysis and Seasonal-Trend decomposition using Loess approaches for streamflow predictions
Halit Apaydın, Mohammad Taghi Sattari, Kambiz Falsafian, et al.
Journal of Hydrology (2021) Vol. 600, pp. 126506-126506
Closed Access | Times Cited: 112

Showing 1-25 of 112 citing articles:

Stacked machine learning algorithms and bidirectional long short-term memory networks for multi-step ahead streamflow forecasting: A comparative study
Francesco Granata, Fabio Di Nunno, Giovanni de Marinis
Journal of Hydrology (2022) Vol. 613, pp. 128431-128431
Closed Access | Times Cited: 106
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
Application of Machine Learning in Water Resources Management: A Systematic Literature Review
Fatemeh Ghobadi, Doosun Kang
Water (2023) Vol. 15, Iss. 4, pp. 620-620
Open Access | Times Cited: 74
Monthly streamflow forecasting by machine learning methods using dynamic weather prediction model outputs over Iran
Mohammad Akbarian, Bahram Saghafian, Saeed Golian
Journal of Hydrology (2023) Vol. 620, pp. 129480-129480
Closed Access | Times Cited: 67
Long-term (2003−2021) evolution trend of water quality in the Three Gorges Reservoir: An evaluation based on an enhanced water quality index
Chong Sang, Lu Tan, Qinghua Cai, et al.
The Science of The Total Environment (2024) Vol. 915, pp. 169819-169819
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: 17
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
Modeling and predicting rainfall time series using seasonal-trend decomposition and machine learning
Renfei He, Limao Zhang, Alvin Wei Ze Chew
Knowledge-Based Systems (2022) Vol. 251, pp. 109125-109125
Closed Access | Times Cited: 62
Directed graph deep neural network for multi-step daily streamflow forecasting
Yongqi Liu, Guibing Hou, Feng Huang, et al.
Journal of Hydrology (2022) Vol. 607, pp. 127515-127515
Closed Access | Times Cited: 59
Improving long-term streamflow prediction in a poorly gauged basin using geo-spatiotemporal mesoscale data and attention-based deep learning: A comparative study
Fatemeh Ghobadi, Doosun Kang
Journal of Hydrology (2022) Vol. 615, pp. 128608-128608
Closed Access | Times Cited: 47
Deep Learning Approach with LSTM for Daily Streamflow Prediction in a Semi-Arid Area: A Case Study of Oum Er-Rbia River Basin, Morocco
Karima Nifa, Abdelghani Boudhar, Hamza Ouatiki, et al.
Water (2023) Vol. 15, Iss. 2, pp. 262-262
Open Access | Times Cited: 33
Exploration of dual-attention mechanism-based deep learning for multi-step-ahead flood probabilistic forecasting
Zhen Cui, Shenglian Guo, Yanlai Zhou, et al.
Journal of Hydrology (2023) Vol. 622, pp. 129688-129688
Closed Access | Times Cited: 27
A coupled model to improve river water quality prediction towards addressing non-stationarity and data limitation
Shengyue Chen, Jinliang Huang, Peng Wang, et al.
Water Research (2023) Vol. 248, pp. 120895-120895
Closed Access | Times Cited: 24
Enhancing flow rate prediction of the Chao Phraya River Basin using SWAT–LSTM model coupling
Kritnipit Phetanan, Seok Min Hong, Daeun Yun, et al.
Journal of Hydrology Regional Studies (2024) Vol. 53, pp. 101820-101820
Open Access | Times Cited: 12
A deep learning-based hybrid approach for multi-time-ahead streamflow prediction in an arid region of Northwest China
Jinjie Fang, Linshan Yang, Xiaohu Wen, et al.
Hydrology Research (2024) Vol. 55, Iss. 2, pp. 180-204
Open Access | Times Cited: 10
Improving Long-Term Flood Forecasting Accuracy Using Ensemble Deep Learning Models and an Attention Mechanism
Marjan Kordani, Mohammad Reza Nikoo, Mahmood Fooladi, et al.
Journal of Hydrologic Engineering (2024) Vol. 29, Iss. 6
Closed Access | Times Cited: 9
Advanced streamflow forecasting for Central European Rivers: The Cutting-Edge Kolmogorov-Arnold networks compared to Transformers
Francesco Granata, Senlin Zhu, Fabio Di Nunno
Journal of Hydrology (2024), pp. 132175-132175
Closed Access | Times Cited: 8
A state-of-the-art review of long short-term memory models with applications in hydrology and water resources
Zhong-kai Feng, J. Zhang, Wen-jing Niu
Applied Soft Computing (2024), pp. 112352-112352
Closed Access | Times Cited: 8
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 | Times Cited: 1
Artificial Intelligence Techniques in Hydrology and Water Resources Management
Fi‐John Chang, Li‐Chiu Chang, Jui-Fa Chen
Water (2023) Vol. 15, Iss. 10, pp. 1846-1846
Open Access | Times Cited: 21
Group Method of Data Handling Using Christiano–Fitzgerald Random Walk Filter for Insulator Fault Prediction
Stéfano Frizzo Stefenon, Laio Oriel Seman, Nemesio Fava Sopelsa Neto, et al.
Sensors (2023) Vol. 23, Iss. 13, pp. 6118-6118
Open Access | Times Cited: 20
Effective LSTMs with seasonal-trend decomposition and adaptive learning and niching-based backtracking search algorithm for time series forecasting
Yuhan Wu, Xiyu Meng, Junru Zhang, et al.
Expert Systems with Applications (2023) Vol. 236, pp. 121202-121202
Closed Access | Times Cited: 20
ML-Based Streamflow Prediction in the Upper Colorado River Basin Using Climate Variables Time Series Data
Pouya Hosseinzadeh, Ayman Nassar, Soukaïna Filali Boubrahimi, et al.
Hydrology (2023) Vol. 10, Iss. 2, pp. 29-29
Open Access | Times Cited: 17
Analyzing variation of water inflow to inland lakes under climate change: Integrating deep learning and time series data mining
Hao Wang, Yongping Li, Guohe Huang, et al.
Environmental Research (2024) Vol. 259, pp. 119478-119478
Closed Access | Times Cited: 7
Analysis of vegetation dynamics from 2001 to 2020 in China's Ganzhou rare earth mining area using time series remote sensing and SHAP-enhanced machine learning
Ming Lei, Yuandong Wang, Guangxu Liu, et al.
Ecological Informatics (2024) Vol. 84, pp. 102887-102887
Open Access | Times Cited: 7
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