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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:

Time-series analysis with smoothed Convolutional Neural Network
Aji Prasetya Wibawa, Agung Bella Putra Utama, Hakkun Elmunsyah, et al.
Journal Of Big Data (2022) Vol. 9, Iss. 1
Open Access | Times Cited: 98

Showing 1-25 of 98 citing articles:

Deep learning based long-term global solar irradiance and temperature forecasting using time series with multi-step multivariate output
Narjes Azizi, Maryam Yaghoubirad, Meisam Farajollahi, et al.
Renewable Energy (2023) Vol. 206, pp. 135-147
Closed Access | Times Cited: 41
Hydrological drought forecasting and monitoring system development using artificial neural network (ANN) in Ethiopia
Kassa Abera Tareke, Admasu Gebeyehu Awoke
Heliyon (2023) Vol. 9, Iss. 2, pp. e13287-e13287
Open Access | Times Cited: 28
A Novel Smoothing-Based Deep Learning Time-Series Approach for Daily Suspended Sediment Load Prediction
Bibhuti Bhusan Sahoo, Sovan Sankalp, Özgür Kişi
Water Resources Management (2023) Vol. 37, Iss. 11, pp. 4271-4292
Closed Access | Times Cited: 26
Advancements in Natural Language Processing: Implications, Challenges, and Future Directions
Supriyono Supriyono, Aji Prasetya Wibawa, Suyono Suyono, et al.
Telematics and Informatics Reports (2024) Vol. 16, pp. 100173-100173
Open Access | Times Cited: 14
Comparative Analysis of Convolutional Neural Network-Long Short-Term Memory, Sparrow Search Algorithm-Backpropagation Neural Network, and Particle Swarm Optimization-Extreme Learning Machine Models for the Water Discharge of the Buzău River, Romania
Zhen Liu, Alina Bărbulescu
Water (2024) Vol. 16, Iss. 2, pp. 289-289
Open Access | Times Cited: 11
Multimodal 1D CNN for delamination prediction in CFRP drilling process with industrial robots
Jae Gyeong Choi, Dong Chan Kim, M. Chung, et al.
Computers & Industrial Engineering (2024) Vol. 190, pp. 110074-110074
Closed Access | Times Cited: 11
A comprehensive benchmark of machine learning-based algorithms for medium-term electric vehicle charging demand prediction
Ömer Can Tolun, Kasım Zor, Önder Tutsoy
The Journal of Supercomputing (2025) Vol. 81, Iss. 3
Open Access | Times Cited: 1
GBT: Two-stage transformer framework for non-stationary time series forecasting
Li Shen, Yuning Wei, Yangzhu Wang
Neural Networks (2023) Vol. 165, pp. 953-970
Open Access | Times Cited: 20
A shale gas production prediction model based on masked convolutional neural network
Wei Zhou, Xiangchengzhen Li, ZhongLi Qi, et al.
Applied Energy (2023) Vol. 353, pp. 122092-122092
Closed Access | Times Cited: 20
EMDFormer model for time series forecasting
Ana Lazcano, Miguel A. Jaramillo-Morán, Julio E. Sandubete
AIMS Mathematics (2024) Vol. 9, Iss. 4, pp. 9419-9434
Open Access | Times Cited: 6
Comparative Analysis of Deep Learning Models for Silver Price Prediction: CNN, LSTM, GRU and Hybrid Approach
Yunus Emre Gür
Akdeniz Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi (2024) Vol. 24, Iss. 1, pp. 1-13
Open Access | Times Cited: 5
Bank Soundness Level Prediction: ANFIS vs Deep Learning
Satia Nur Maharani
Journal of Applied Data Sciences (2023) Vol. 4, Iss. 3, pp. 175-189
Open Access | Times Cited: 13
Optimal expansion planning of electrical energy distribution substation considering hydrogen storage
Kıvanç Başaran, Hüseyin Öztürk
International Journal of Hydrogen Energy (2024) Vol. 75, pp. 450-465
Closed Access | Times Cited: 4
Deep convolutional neural networks for short-term multi-energy demand prediction of integrated energy systems
Corneliu Arsene, Alessandra Parisio
International Journal of Electrical Power & Energy Systems (2024) Vol. 160, pp. 110111-110111
Open Access | Times Cited: 4
Radar-Based Target Tracking Using Deep Learning Approaches with Unscented Kalman Filter
Uwigize Patrick, S. Koteswara Rao, B. Omkar Lakshmi Jagan, et al.
Applied Sciences (2024) Vol. 14, Iss. 18, pp. 8332-8332
Open Access | Times Cited: 4
AI-Enabled Rolling Triboelectric Nanogenerator for Bearing Wear Diagnosis aiming at Digital Twin Application
Fangyang Dong, Meixian Zhu, Yulian Wang, et al.
Nano Energy (2024), pp. 110550-110550
Closed Access | Times Cited: 4
Cryptocurrency Price Analysis using Deep Learning
Prisha Negi, Riddhi Dhawad, Nekita Chavhan Morris, et al.
(2023)
Closed Access | Times Cited: 10
Classification of Cardiac Arrhythmias Based on Electrocardiogram Data Using a Convolutional Neural Network Model
Rodrigo Alexandre Dos Santos
European Journal of Engineering Science and Technology (2025) Vol. 7, Iss. 2, pp. 14-30
Open Access
Revisiting the historical tritium levels in precipitation in Greece – Preliminary assessment of groundwater transit times
Ioannis Matiatos, Paraskevas Tsangaratos, Lorenzo Copia, et al.
Journal of Environmental Radioactivity (2025) Vol. 282, pp. 107619-107619
Closed Access
Multimodal Data Fusion: Combining Big Data and Deep Learning for Enhanced Predictive Models
K. R. Sreelakshmi, Sajimon Abraham
Smart innovation, systems and technologies (2025), pp. 223-236
Closed Access
Predicting Energy Consumption Data Using Deep Learning: An LSTM Approach
Julio Macedo Chaves, Elene Firmeza Ohata, Matheus A. dos Santos, et al.
Lecture notes in computer science (2025), pp. 296-308
Closed Access
Near-lossless EEG signal compression using a convolutional autoencoder: Case study for 256-channel binocular rivalry dataset
Martin Kukrál, Duc Thien Pham, Josef Kohout, et al.
Computers in Biology and Medicine (2025) Vol. 189, pp. 109888-109888
Closed Access
Deep learning network for predicting the remaining useful life of lithium-ion batteries using the positive and negative convolution perceptron model
Gwi-Man Bak, Young-Chul Bae
Journal of the Chinese Institute of Engineers (2025), pp. 1-13
Closed Access
CLAM: A Synergistic Deep Learning Model for Multi-Step Stock Trend Forecasting
Anh Q. Nguyen, Truong Gia Hy
Intelligenza Artificiale (2025)
Closed Access
Investigating the Accuracy of Neural Networks for Blood Pressure Prediction in the ICU
Charles J. Gillan, Bartosz Górecki
Informatics in Medicine Unlocked (2025), pp. 101635-101635
Open Access
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