Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Applications of hybrid wavelet–Artificial Intelligence models in hydrology: A review
Vahid Nourani, Aida Hosseini Baghanam, Jan Adamowski, et al.
Journal of Hydrology (2014) Vol. 514, pp. 358-377
Closed Access | Times Cited: 658

Showing 1-25 of 658 citing articles:

Digital Twin: Values, Challenges and Enablers From a Modeling Perspective
Adil Rasheed, Omer San, Trond Kvamsdal
IEEE Access (2020) Vol. 8, pp. 21980-22012
Open Access | Times Cited: 1183
An enhanced extreme learning machine model for river flow forecasting: State-of-the-art, practical applications in water resource engineering area and future research direction
Zaher Mundher Yaseen‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬, Sadeq Oleiwi Sulaiman, Ravinesh C. Deo, et al.
Journal of Hydrology (2018) Vol. 569, pp. 387-408
Closed Access | Times Cited: 622
A Brief Review of Random Forests for Water Scientists and Practitioners and Their Recent History in Water Resources
Hristos Tyralis, Georgia Papacharalampous, Andreas Langousis
Water (2019) Vol. 11, Iss. 5, pp. 910-910
Open Access | Times Cited: 561
A survey on river water quality modelling using artificial intelligence models: 2000–2020
Tiyasha Tiyasha, Tran Minh Tung, Zaher Mundher Yaseen‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬
Journal of Hydrology (2020) Vol. 585, pp. 124670-124670
Closed Access | Times Cited: 518
Artificial intelligence based models for stream-flow forecasting: 2000–2015
Zaher Mundher Yaseen‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬, Ahmed El‐Shafie, Othman Jaafar, et al.
Journal of Hydrology (2015) Vol. 530, pp. 829-844
Closed Access | Times Cited: 508
Flood Prediction Using Machine Learning Models: Literature Review
Amir Mosavi, Pınar Öztürk, Kwok‐wing Chau
Water (2018) Vol. 10, Iss. 11, pp. 1536-1536
Open Access | Times Cited: 474
Seasonal Drought Prediction: Advances, Challenges, and Future Prospects
Zengchao Hao, Vijay P. Singh, Youlong Xia
Reviews of Geophysics (2018) Vol. 56, Iss. 1, pp. 108-141
Open Access | Times Cited: 470
A review of the artificial intelligence methods in groundwater level modeling
Taher Rajaee, Hadi Ebrahimi, Vahid Nourani
Journal of Hydrology (2019) Vol. 572, pp. 336-351
Closed Access | Times Cited: 366
Survey of computational intelligence as basis to big flood management: challenges, research directions and future work
Farnaz Fotovatikhah, Manuel Herrera, Shahaboddin Shamshirband, et al.
Engineering Applications of Computational Fluid Mechanics (2018) Vol. 12, Iss. 1, pp. 411-437
Open Access | Times Cited: 335
A wavelet-coupled support vector machine model for forecasting global incident solar radiation using limited meteorological dataset
Ravinesh C. Deo, Xiaohu Wen, Qi Feng
Applied Energy (2016) Vol. 168, pp. 568-593
Closed Access | Times Cited: 330
Exploring a Long Short-Term Memory based Encoder-Decoder framework for multi-step-ahead flood forecasting
I-Feng Kao, Yanlai Zhou, Li‐Chiu Chang, et al.
Journal of Hydrology (2020) Vol. 583, pp. 124631-124631
Open Access | Times Cited: 316
A Review of the Artificial Neural Network Models for Water Quality Prediction
Yingyi Chen, Lihua Song, Yeqi Liu, et al.
Applied Sciences (2020) Vol. 10, Iss. 17, pp. 5776-5776
Open Access | Times Cited: 314
Renewable energy: Present research and future scope of Artificial Intelligence
Sunil Kumar Jha, Jasmin Bilalovic, Anju Jha, et al.
Renewable and Sustainable Energy Reviews (2017) Vol. 77, pp. 297-317
Closed Access | Times Cited: 289
Streamflow and rainfall forecasting by two long short-term memory-based models
Lingling Ni, Dong Wang, Vijay P. Singh, et al.
Journal of Hydrology (2019) Vol. 583, pp. 124296-124296
Open Access | Times Cited: 283
Groundwater level prediction using machine learning models: A comprehensive review
Tao Hai, Mohammed Majeed Hameed, Haydar Abdulameer Marhoon, et al.
Neurocomputing (2022) Vol. 489, pp. 271-308
Open Access | Times Cited: 253
Novel approach for streamflow forecasting using a hybrid ANFIS-FFA model
Zaher Mundher Yaseen‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬, Isa Ebtehaj, Hossein Bonakdari, et al.
Journal of Hydrology (2017) Vol. 554, pp. 263-276
Closed Access | Times Cited: 241
Use long short-term memory to enhance Internet of Things for combined sewer overflow monitoring
Duo Zhang, Geir Lindholm, Harsha Ratnaweera
Journal of Hydrology (2017) Vol. 556, pp. 409-418
Closed Access | Times Cited: 239
A robust method for non-stationary streamflow prediction based on improved EMD-SVM model
Erhao Meng, Shengzhi Huang, Qiang Huang, et al.
Journal of Hydrology (2018) Vol. 568, pp. 462-478
Closed Access | Times Cited: 227
Flood Prediction Using Machine Learning, Literature Review
Amir Mosavi, Pınar Öztürk, Kwok‐wing Chau
(2018)
Open Access | Times Cited: 225
Improving artificial intelligence models accuracy for monthly streamflow forecasting using grey Wolf optimization (GWO) algorithm
Yazid Tikhamarine, Doudja Souag-Gamane, Ali Najah Ahmed, et al.
Journal of Hydrology (2019) Vol. 582, pp. 124435-124435
Closed Access | Times Cited: 222
Forecasting effective drought index using a wavelet extreme learning machine (W-ELM) model
Ravinesh C. Deo, Mukesh Tiwari, Jan Adamowski, et al.
Stochastic Environmental Research and Risk Assessment (2016) Vol. 31, Iss. 5, pp. 1211-1240
Closed Access | Times Cited: 213
Addressing the incorrect usage of wavelet-based hydrological and water resources forecasting models for real-world applications with best practices and a new forecasting framework
John Quilty, Jan Adamowski
Journal of Hydrology (2018) Vol. 563, pp. 336-353
Closed Access | Times Cited: 211
GIS-multicriteria evaluation using AHP for landslide susceptibility mapping in Oum Er Rbia high basin (Morocco)
Aafaf El Jazouli, Ahmed Barakat, Rida Khellouk
Geoenvironmental Disasters (2019) Vol. 6, Iss. 1
Open Access | Times Cited: 205
Significant wave height forecasting via an extreme learning machine model integrated with improved complete ensemble empirical mode decomposition
Mumtaz Ali, Ramendra Prasad
Renewable and Sustainable Energy Reviews (2019) Vol. 104, pp. 281-295
Closed Access | Times Cited: 201
Artificial intelligence-based single and hybrid models for prediction of water quality in rivers: A review
Taher Rajaee, Salar Khani, Masoud Ravansalar
Chemometrics and Intelligent Laboratory Systems (2020) Vol. 200, pp. 103978-103978
Closed Access | Times Cited: 198
Page 1 - Next Page

Scroll to top