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:

Correlated Time-Series in Multi-Day-Ahead Streamflow Forecasting Using Convolutional Networks
Felipe Oliveira Barino, Vinicius N. H. Silva, Andrés P. L. Barbero, et al.
IEEE Access (2020) Vol. 8, pp. 215748-215757
Open Access | Times Cited: 27

Showing 1-25 of 27 citing articles:

Monthly Streamflow Forecasting Using Convolutional Neural Network
Xingsheng Shu, Wei Ding, Yong Peng, et al.
Water Resources Management (2021) Vol. 35, Iss. 15, pp. 5089-5104
Open Access | Times Cited: 71

A Review of Computational Modeling in Wastewater Treatment Processes
M. Salomé Duarte, Gilberto Martins, Pedro Oliveira, et al.
ACS ES&T Water (2023) Vol. 4, Iss. 3, pp. 784-804
Open Access | Times Cited: 37

Daily scale streamflow forecasting in multiple stream orders of Cauvery River, India: Application of advanced ensemble and deep learning models
Sujay Raghavendra Naganna, Sreedhara B. Marulasiddappa, Muttana S. Balreddy, et al.
Journal of Hydrology (2023) Vol. 626, pp. 130320-130320
Closed Access | Times Cited: 17

Analysis of borehole strain anomalies before the 2017 Jiuzhaigou Ms 7.0 earthquake based on a graph neural network
Chenyang Li, Changfeng Qin, Jie Zhang, et al.
Natural hazards and earth system sciences (2025) Vol. 25, Iss. 1, pp. 231-245
Open Access

MTV19ANet: A Multi-tier Visual Geometry Group 19 with Attention Network-Based Streamflow Prediction System
A. Shashank, P. Geetha, Jyothish Lal G, et al.
Water Resources Management (2025)
Closed Access

A Systematic Review of Deep Learning Applications in Streamflow Data Augmentation and Forecasting
Muhammed Sit, Bekir Zahit Demiray, İbrahim Demir
EarthArXiv (California Digital Library) (2022)
Open Access | Times Cited: 9

Capacity Factor Forecasting for Generation Facilities Based on Renewable Energy Sources in Decentralized Power Systems
Andrey Bramm, Павел Матренин, N. A. Papkova, et al.
ENERGETIKA Proceedings of CIS higher education institutions and power engineering associations (2024) Vol. 67, Iss. 5, pp. 411-424
Open Access | Times Cited: 1

Direct integration of reservoirs' operations in a hydrological model for streamflow estimation: coupling a CLSTM model with MOHID-Land
Ana R. Oliveira, Tiago B. Ramos, Lı́gia Pinto, et al.
Hydrology and earth system sciences (2023) Vol. 27, Iss. 21, pp. 3875-3893
Open Access | Times Cited: 2

Improving 1d Convolutional Neural Network (1d Cnn) Performance in Processing Tabular Datasets Using Principal Component Analysis
Kridanto Surendro, Muhammad Ibnu Choldun Rachmatullah, Judhi Santoso
Research Square (Research Square) (2022)
Open Access | Times Cited: 3

Information Theoretic Learning Applied to Daily Streamflow Forecast and Its Impact on the Brazilian Hourly Energy Spot Prices
Elson Antonio Nunes, Vitor Hugo Ferreira, André da Costa Pinho
Journal of Control Automation and Electrical Systems (2024) Vol. 35, Iss. 5, pp. 949-959
Closed Access

Reply on RC1
Chenyang Li
(2024)
Open Access

Time series forecasting techniques applied to hydroelectric generation systems
Julio Barzola–Monteses, Juan Gómez‐Romero, Mayken Espinoza‐Andaluz, et al.
International Journal of Electrical Power & Energy Systems (2024) Vol. 164, pp. 110424-110424
Closed Access

Occupancy Detection Classification Using 1D-CNN in Indoor Environment
Erkan Güler, Muhammet Talha Kakız, Faruk Baturalp Günay, et al.
Karadeniz Fen Bilimleri Dergisi (2023) Vol. 13, Iss. 1, pp. 60-71
Open Access | Times Cited: 1

Monthly Streamflow Forecasting Using Convolutional Neural Network
Xingsheng Shu, Wei Ding, Yong Peng, et al.
Research Square (Research Square) (2021)
Open Access | Times Cited: 1

Reply on CC1
Ana R. Oliveira
(2023)
Open Access

Comment on egusphere-2023-915
Thiago Victor Medeiros do Nascimento
(2023)
Open Access

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