Open Access Helper

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:

Water Temperature Prediction Using Improved Deep Learning Methods through Reptile Search Algorithm and Weighted Mean of Vectors Optimizer
Rana Muhammad Adnan Ikram, Reham R. Mostafa, Zhihuan Chen, et al.
Journal of Marine Science and Engineering (2023) Vol. 11, Iss. 2, pp. 259-259
Open Access | Times Cited: 65

Showing 51-75 of 65 citing articles:

EKLT: Kolmogorov-Arnold attention-driven LSTM with transformer model for river water level prediction
Dongfeng Ren, Qian Hu, Tengda Zhang
Journal of Hydrology (2024), pp. 132430-132430
Open Access | Times Cited: 2
The contribution of remote sensing and input feature selection for groundwater level prediction using LSTM neural networks in the Oum Er-Rbia Basin, Morocco
Tarik Bouramtane, Marc Leblanc, Ilias Kacimi, et al.
Frontiers in Water (2023) Vol. 5
Open Access | Times Cited: 6
A forty years scientometric investigation of artificial intelligence for fluid-flow and heat-transfer (AIFH) during 1982 and 2022
Sepideh Ghalambaz, Mohammad Abbaszadeh, Ideen Sadrehaghighi, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 127, pp. 107334-107334
Closed Access | Times Cited: 6
Thermal power plants pollution assessment based on deep neural networks, remote sensing, and GIS: A real case study in Iran
Marzieh Mokarram, Mohammad Jafar Mokarram, Arsalan Najafi
Marine Pollution Bulletin (2023) Vol. 192, pp. 115069-115069
Closed Access | Times Cited: 5
Improving the streamflow prediction accuracy in sparse data regions: a fresh perspective on integrated hydrological-hydrodynamic and hybrid machine learning models
Saeed Khorram, Nima Jehbez
Engineering Applications of Computational Fluid Mechanics (2024) Vol. 18, Iss. 1
Open Access | Times Cited: 1
Using Simple LSTM Models to Evaluate Effects of a River Restoration on Groundwater in Kushiro Wetland, Hokkaido, Japan
Takumi Yamaguchi, Hitoshi Miyamoto, Tetsuya Oishi
Water (2023) Vol. 15, Iss. 6, pp. 1115-1115
Open Access | Times Cited: 4
Error-feedback three-phase optimization to configurable convolutional echo state network for time series forecasting
Xinze Zhang, Kun He, Qi Sima, et al.
Applied Soft Computing (2024) Vol. 161, pp. 111715-111715
Closed Access | Times Cited: 1
Harnessing Deep Learning and Snow Cover Data for Enhanced Runoff Prediction in Snow-Dominated Watersheds
Rana Muhammad Adnan Ikram, Mo Wang, Özgür Kişi, et al.
Atmosphere (2024) Vol. 15, Iss. 12, pp. 1407-1407
Open Access | Times Cited: 1
Combined Physical Process and Deep Learning for Daily Water Level Simulations across Multiple Sites in the Three Gorges Reservoir, China
Mingjiang Xie, Kun Shan, Sidong Zeng, et al.
Water (2023) Vol. 15, Iss. 18, pp. 3191-3191
Open Access | Times Cited: 3
Research on deformation prediction of deep foundation pit excavation based on GWO-ELM model
Sanqiang Yang, Zhenyu Yang, Leifeng Zhang, et al.
Electronic Research Archive (2023) Vol. 31, Iss. 9, pp. 5685-5700
Open Access | Times Cited: 2
Prediction of scour hole characteristics caused by water jets using metaheuristic artificial bee colony-optimized neural network and pre-processing techniques
Veysi Kartal, M. Emin Emiroğlu, Okan Mert Katipoğlu, et al.
Journal of Hydroinformatics (2023) Vol. 25, Iss. 6, pp. 2427-2443
Open Access | Times Cited: 2
Influence of Dam Spill Flow on Downstream River Water Temperatures
Fady Anees, Luke Pollack, Ashraf Eldoud, et al.
SoutheastCon (2024), pp. 655-659
Closed Access
Semi-supervised prediction method for time series based on Monte Carlo and time fusion feature attention
Yang Yang, Jing Zhang, Lulu Wang
Applied Soft Computing (2024), pp. 112283-112283
Closed Access
Applying self-powered sensor and support vector machine in load energy consumption modeling and prediction of relational database
Dexian Yang, Jiong Yu, Zhenzhen He, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 1
Predicting and Reconstructing Aerosol–Cloud–Precipitation Interactions with Physics-Informed Neural Networks
A. Hu, Z. J. Kabala
Atmosphere (2023) Vol. 14, Iss. 12, pp. 1798-1798
Open Access | Times Cited: 1
Parameter Estimation of ECM Model for Li-Ion Battery Using the Weighted Mean of Vectors Algorithm
Walid Merrouche, Badis Lekouaghet, Elouahab Bouguenna, et al.
(2023)
Closed Access
Accuracy of conventional fusion algorithms for precipitation estimates across the Chinese mainland
Qin Jiang, Zedong Fan, Yun Xu, et al.
Journal of Hydroinformatics (2023) Vol. 25, Iss. 5, pp. 1960-1978
Open Access
Random Forest-based Underwater Temperature Prediction Model for IoT Devices
Subhash Mondal, Sanjav Dhar Roy, R Jeevaraj, et al.
(2023), pp. 1-6
Closed Access
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