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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:

Multi-objective ensembles of echo state networks and extreme learning machines for streamflow series forecasting
Víctor Henrique Alves Ribeiro, Gilberto Reynoso-Meza, Hugo Valadares Siqueira
Engineering Applications of Artificial Intelligence (2020) Vol. 95, pp. 103910-103910
Closed Access | Times Cited: 45

Showing 1-25 of 45 citing articles:

Efficient bootstrap stacking ensemble learning model applied to wind power generation forecasting
Matheus Henrique Dal Molin Ribeiro, Ramon Gomes da Silva, Sinvaldo Rodrigues Moreno, et al.
International Journal of Electrical Power & Energy Systems (2021) Vol. 136, pp. 107712-107712
Closed Access | Times Cited: 119
Hybridized artificial intelligence models with nature-inspired algorithms for river flow modeling: A comprehensive review, assessment, and possible future research directions
Tao Hai, Sani I. Abba, Ahmed M. Al‐Areeq, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 129, pp. 107559-107559
Closed Access | Times Cited: 57
A data-driven model for sustainable and resilient supplier selection and order allocation problem in a responsive supply chain: A case study of healthcare system
Sina Nayeri, Mohammad Amin Khoei, Mohammad Reza Rouhani-Tazangi, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 124, pp. 106511-106511
Closed Access | Times Cited: 49
Deep learning-based exchange rate prediction during the COVID-19 pandemic
Mohammad Zoynul Abedin, Mahmudul Hasan, M. Kabir Hassan, et al.
Annals of Operations Research (2021)
Open Access | Times Cited: 85
Alzheimer's disease prediction using machine learning techniques and principal component analysis (PCA)
M. Sudharsan, G. Thailambal
Materials Today Proceedings (2021) Vol. 81, pp. 182-190
Closed Access | Times Cited: 60
Randomization-based machine learning in renewable energy prediction problems: Critical literature review, new results and perspectives
Javier Del Ser, David Casillas-Pérez, L. Cornejo-Bueno, et al.
Applied Soft Computing (2022) Vol. 118, pp. 108526-108526
Open Access | Times Cited: 50
Ensemble data-driven rainfall-runoff modeling using multi-source satellite and gauge rainfall data input fusion
Vahid Nourani, Hüseyin Gökçekuş, Tagesse Gichamo
Earth Science Informatics (2021) Vol. 14, Iss. 4, pp. 1787-1808
Closed Access | Times Cited: 50
Solar Irradiance Forecasting Using Dynamic Ensemble Selection
Domingos S. de O. Santos, Paulo S. G. de Mattos Neto, João Fausto Lorenzato de Oliveira, et al.
Applied Sciences (2022) Vol. 12, Iss. 7, pp. 3510-3510
Open Access | Times Cited: 32
A Systematic Review of Echo State Networks From Design to Application
Chenxi Sun, Moxian Song, Derun Cai, et al.
IEEE Transactions on Artificial Intelligence (2022) Vol. 5, Iss. 1, pp. 23-37
Closed Access | Times Cited: 32
Streamflow prediction in mountainous region using new machine learning and data preprocessing methods: a case study
Rana Muhammad Adnan Ikram, Barenya Bikash Hazarika, Deepak Gupta, et al.
Neural Computing and Applications (2022)
Closed Access | Times Cited: 31
Many-objective coevolutionary learning algorithm with extreme learning machine auto-encoder for ensemble classifier of feedforward neural networks
Hong Li, Lixia Bai, Weifeng Gao, et al.
Expert Systems with Applications (2024) Vol. 246, pp. 123186-123186
Closed Access | Times Cited: 6
A hybrid annual runoff prediction model using echo state network and gated recurrent unit based on sand cat swarm optimization with Markov chain error correction method
Jun Wang, Wenchuan Wang, Xiao-xue Hu, et al.
Journal of Hydroinformatics (2024) Vol. 26, Iss. 6, pp. 1425-1453
Open Access | Times Cited: 6
Enhanced multi-step streamflow series forecasting using hybrid signal decomposition and optimized reservoir computing models
José Henrique Kleinübing Larcher, Stéfano Frizzo Stefenon, Leandro dos Santos Coelho, et al.
Expert Systems with Applications (2024) Vol. 255, pp. 124856-124856
Closed Access | Times Cited: 6
A Review of Designs and Applications of Echo State Networks
Chenxi Sun, Moxian Song, Shenda Hong, et al.
arXiv (Cornell University) (2020)
Open Access | Times Cited: 40
Hierarchical delay-memory echo state network: A model designed for multi-step chaotic time series prediction
Xiaodong Na, Weijie Ren, Xinghan Xu
Engineering Applications of Artificial Intelligence (2021) Vol. 102, pp. 104229-104229
Closed Access | Times Cited: 35
Self-Adaptive Particle Swarm Optimization-Based Echo State Network for Time Series Prediction
Yu Xue, Qi Zhang, Ferrante Neri
International Journal of Neural Systems (2021) Vol. 31, Iss. 12
Open Access | Times Cited: 27
Echo state network with logistic mapping and bias dropout for time series prediction
Heshan Wang, Yu-xi Liu, Peng Lu, et al.
Neurocomputing (2022) Vol. 489, pp. 196-210
Closed Access | Times Cited: 21
Integrating Hydrological and Machine Learning Models for Enhanced Streamflow Forecasting via Bayesian Model Averaging in a Hydro-Dominant Power System
Francisca Lanai Ribeiro Torres, Luana Medeiros Marangon Lima, Michelle Simões Reboita, et al.
Water (2024) Vol. 16, Iss. 4, pp. 586-586
Open Access | Times Cited: 3
A Wireless Underground Sensor Network Field Pilot for Agriculture and Ecology: Soil Moisture Mapping Using Signal Attenuation
Srinivasa Balivada, Gregory D. Grant, Xufeng Zhang, et al.
Sensors (2022) Vol. 22, Iss. 10, pp. 3913-3913
Open Access | Times Cited: 16
Monthly streamflow prediction using hybrid extreme learning machine optimized by bat algorithm: a case study of Cheliff watershed, Algeria
Salah Difi, Yamina Elmeddahi, Aziz Hebal, et al.
Hydrological Sciences Journal (2022) Vol. 68, Iss. 2, pp. 189-208
Closed Access | Times Cited: 14
An Artificial Intelligence model for smart post-stroke assessment using wearable sensors
Najmeh Razfar, Rasha Kashef, Farah Mohammadi
Decision Analytics Journal (2023) Vol. 7, pp. 100218-100218
Open Access | Times Cited: 8
Feature selection and regularization of interpretable soft sensors using evolutionary multi-objective optimization design procedures
Víctor Henrique Alves Ribeiro, Gilberto Reynoso-Meza
Chemometrics and Intelligent Laboratory Systems (2021) Vol. 212, pp. 104278-104278
Closed Access | Times Cited: 18
Multi-objective optimization of automotive seat frames using machine learning
Haifeng Chen, Ping Yu, Jiangqi Long
Advances in Engineering Software (2024) Vol. 199, pp. 103797-103797
Closed Access | Times Cited: 2
Recursive linear models optimized by bioinspired metaheuristics to streamflow time series prediction
Hugo Valadares Siqueira, Jônatas Trabuco Belotti, Levy Boccato, et al.
International Transactions in Operational Research (2020) Vol. 30, Iss. 2, pp. 742-773
Closed Access | Times Cited: 14
A spatiotemporal ensemble model to predict gross beta particulate radioactivity across the contiguous United States
Longxiang Li, Annelise J. Blomberg, Joy Lawrence, et al.
Environment International (2021) Vol. 156, pp. 106643-106643
Open Access | Times Cited: 12
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