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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:

Data Pre-Analysis and Ensemble of Various Artificial Neural Networks for Monthly Streamflow Forecasting
Jianzhong Zhou, Peng Tian, Chu Zhang, et al.
Water (2018) Vol. 10, Iss. 5, pp. 628-628
Open Access | Times Cited: 86

Showing 1-25 of 86 citing articles:

Ensemble machine learning paradigms in hydrology: A review
Mohammad Zounemat‐Kermani, Okke Batelaan, Marzieh Fadaee, et al.
Journal of Hydrology (2021) Vol. 598, pp. 126266-126266
Open Access | Times Cited: 425
Comparative Analysis of Recurrent Neural Network Architectures for Reservoir Inflow Forecasting
Halit Apaydın, Hajar Feizi, Mohammad Taghi Sattari, et al.
Water (2020) Vol. 12, Iss. 5, pp. 1500-1500
Open Access | Times Cited: 237
Hybrid structures in time series modeling and forecasting: A review
Zahra Hajirahimi, Mehdi Khashei
Engineering Applications of Artificial Intelligence (2019) Vol. 86, pp. 83-106
Closed Access | Times Cited: 185
Evaluation and Prediction of Groundwater Quality for Irrigation Using an Integrated Water Quality Indices, Machine Learning Models and GIS Approaches: A Representative Case Study
Hekmat Ibrahim, Zaher Mundher Yaseen‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬, Miklas Scholz, et al.
Water (2023) Vol. 15, Iss. 4, pp. 694-694
Open Access | Times Cited: 85
Dongting Lake Water Level Forecast and Its Relationship with the Three Gorges Dam Based on a Long Short-Term Memory Network
Chen Liang, Hongqing Li, Lei Ming-jun, et al.
Water (2018) Vol. 10, Iss. 10, pp. 1389-1389
Open Access | Times Cited: 118
Urban pluvial flooding prediction by machine learning approaches – a case study of Shenzhen city, China
Qian Ke, Xin Tian, Jeremy D. Bricker, et al.
Advances in Water Resources (2020) Vol. 145, pp. 103719-103719
Open Access | Times Cited: 110
A novel ensemble deep learning model with dynamic error correction and multi-objective ensemble pruning for time series forecasting
Shuai Zhang, Yong Chen, Wenyu Zhang, et al.
Information Sciences (2020) Vol. 544, pp. 427-445
Closed Access | Times Cited: 109
Building ANN-Based Regional Multi-Step-Ahead Flood Inundation Forecast Models
Li‐Chiu Chang, Mohd Zaki Mat Amin, Shun-Nien Yang, et al.
Water (2018) Vol. 10, Iss. 9, pp. 1283-1283
Open Access | Times Cited: 100
An Approach towards Increasing Prediction Accuracy for the Recovery of Missing IoT Data based on the GRNN-SGTM Ensemble
Roman Tkachenko, Ivan Izonin, Natalia Kryvinska, et al.
Sensors (2020) Vol. 20, Iss. 9, pp. 2625-2625
Open Access | Times Cited: 92
Assessment of bio-inspired metaheuristic optimisation algorithms for estimating soil temperature
Roozbeh Moazenzadeh, Babak Mohammadi
Geoderma (2019) Vol. 353, pp. 152-171
Closed Access | Times Cited: 82
Negative correlation learning-based RELM ensemble model integrated with OVMD for multi-step ahead wind speed forecasting
Peng Tian, Chu Zhang, Jianzhong Zhou, et al.
Renewable Energy (2020) Vol. 156, pp. 804-819
Closed Access | Times Cited: 73
A Comparative Study on Prediction of Monthly Streamflow Using Hybrid ANFIS-PSO Approaches
Sandeep Samanataray, Abinash Sahoo
KSCE Journal of Civil Engineering (2021) Vol. 25, Iss. 10, pp. 4032-4043
Open Access | Times Cited: 55
Applications and interpretations of different machine learning models in runoff and sediment discharge simulations
Jindian Miao, Xiaoming Zhang, Guojun Zhang, et al.
CATENA (2024) Vol. 238, pp. 107848-107848
Closed Access | Times Cited: 9
Improving the prediction accuracy of monthly streamflow using a data-driven model based on a double-processing strategy
Lili Wang, Xin Li, Chunfeng Ma, et al.
Journal of Hydrology (2019) Vol. 573, pp. 733-745
Closed Access | Times Cited: 68
Building an Intelligent Hydroinformatics Integration Platform for Regional Flood Inundation Warning Systems
Li‐Chiu Chang, Fi‐John Chang, Shun-Nien Yang, et al.
Water (2018) Vol. 11, Iss. 1, pp. 9-9
Open Access | Times Cited: 64
Streamflow forecasting by modeling the rainfall–streamflow relationship using artificial neural networks
Shahzad Ali, Muhammad Qaiser Shahbaz
Modeling Earth Systems and Environment (2020) Vol. 6, Iss. 3, pp. 1645-1656
Closed Access | Times Cited: 56
Streamflow forecasting
Priyanka Sharma, Deepesh Machiwal
Elsevier eBooks (2021), pp. 1-50
Closed Access | Times Cited: 42
A novel ensemble learning for post-processing of NWP Model's next-day maximum air temperature forecast in summer using deep learning and statistical approaches
Dongjin Cho, Cheolhee Yoo, Bokyung Son, et al.
Weather and Climate Extremes (2022) Vol. 35, pp. 100410-100410
Open Access | Times Cited: 36
River ecological flow early warning forecasting using baseflow separation and machine learning in the Jiaojiang River Basin, Southeast China
Hao Chen, Saihua Huang, Yue‐Ping Xu, et al.
The Science of The Total Environment (2023) Vol. 882, pp. 163571-163571
Closed Access | Times Cited: 20
Order-up-to-level inventory optimization model using time-series demand forecasting with ensemble deep learning
Mahya Seyedan, Fereshteh Mafakheri, Chun Wang
Supply Chain Analytics (2023) Vol. 3, pp. 100024-100024
Open Access | Times Cited: 17
Advanced Prediction Models for Scouring Around Bridge Abutments: A Comparative Study of Empirical and AI Techniques
Zaka Ullah Khan, Diyar Khan, Nadir Murtaza, et al.
Water (2024) Vol. 16, Iss. 21, pp. 3082-3082
Open Access | Times Cited: 6
Future Predictions of Rainfall and Temperature Using GCM and ANN for Arid Regions: A Case Study for the Qassim Region, Saudi Arabia
Khalid M. Alotaibi, Abdul Razzaq Ghumman, Husnain Haider, et al.
Water (2018) Vol. 10, Iss. 9, pp. 1260-1260
Open Access | Times Cited: 56
Application of Artificial Neural Networks for Accuracy Enhancements of Real-Time Flood Forecasting in the Imjin Basin
Aida Jabbari, Deg‐Hyo Bae
Water (2018) Vol. 10, Iss. 11, pp. 1626-1626
Open Access | Times Cited: 56
Wavelet-ANN versus ANN-Based Model for Hydrometeorological Drought Forecasting
Md. Munir Hayet Khan, Nur Shazwani Muhammad, Ahmed El‐Shafie
Water (2018) Vol. 10, Iss. 8, pp. 998-998
Open Access | Times Cited: 53
Flood Forecasting Based on an Improved Extreme Learning Machine Model Combined with the Backtracking Search Optimization Algorithm
Lu Chen, Na Sun, Chao Zhou, et al.
Water (2018) Vol. 10, Iss. 10, pp. 1362-1362
Open Access | Times Cited: 48
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