
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:
A Hybrid Model Based on a Two-Layer Decomposition Approach and an Optimized Neural Network for Chaotic Time Series Prediction
Xinghan Xu, Weijie Ren
Symmetry (2019) Vol. 11, Iss. 5, pp. 610-610
Open Access | Times Cited: 20
Xinghan Xu, Weijie Ren
Symmetry (2019) Vol. 11, Iss. 5, pp. 610-610
Open Access | Times Cited: 20
Showing 20 citing articles:
Hybridization of hybrid structures for time series forecasting: a review
Zahra Hajirahimi, Mehdi Khashei
Artificial Intelligence Review (2022) Vol. 56, Iss. 2, pp. 1201-1261
Closed Access | Times Cited: 68
Zahra Hajirahimi, Mehdi Khashei
Artificial Intelligence Review (2022) Vol. 56, Iss. 2, pp. 1201-1261
Closed Access | Times Cited: 68
Ensemble wind speed forecasting system based on optimal model adaptive selection strategy: Case study in China
Yuqi Dong, Jing Li, Zhenkun Liu, et al.
Sustainable Energy Technologies and Assessments (2022) Vol. 53, pp. 102535-102535
Closed Access | Times Cited: 23
Yuqi Dong, Jing Li, Zhenkun Liu, et al.
Sustainable Energy Technologies and Assessments (2022) Vol. 53, pp. 102535-102535
Closed Access | Times Cited: 23
Air quality data series estimation based on machine learning approaches for urban environments
Alireza Rahimpour, Jamil Amanollahi, Chris G. Tzanis
Air Quality Atmosphere & Health (2020) Vol. 14, Iss. 2, pp. 191-201
Closed Access | Times Cited: 39
Alireza Rahimpour, Jamil Amanollahi, Chris G. Tzanis
Air Quality Atmosphere & Health (2020) Vol. 14, Iss. 2, pp. 191-201
Closed Access | Times Cited: 39
Analysis of Recurrent Neural Network and Predictions
Ji‐Eun Park, Dokkyun Yi, Sangmin Ji
Symmetry (2020) Vol. 12, Iss. 4, pp. 615-615
Open Access | Times Cited: 31
Ji‐Eun Park, Dokkyun Yi, Sangmin Ji
Symmetry (2020) Vol. 12, Iss. 4, pp. 615-615
Open Access | Times Cited: 31
Extraction of multi-scale features enhances the deep learning-based daily PM2.5 forecasting in cities
Dong Liang, Pei Hua, Dongwei GUI, et al.
Chemosphere (2022) Vol. 308, pp. 136252-136252
Closed Access | Times Cited: 18
Dong Liang, Pei Hua, Dongwei GUI, et al.
Chemosphere (2022) Vol. 308, pp. 136252-136252
Closed Access | Times Cited: 18
Development of a Three-Stage Hybrid Model by Utilizing a Two-Stage Signal Decomposition Methodology and Machine Learning Approach to Predict Monthly Runoff at Swat River Basin, Pakistan
Muhammad Sibtain, Xianshan Li, Ghulam Nabi, et al.
Discrete Dynamics in Nature and Society (2020) Vol. 2020, pp. 1-19
Open Access | Times Cited: 27
Muhammad Sibtain, Xianshan Li, Ghulam Nabi, et al.
Discrete Dynamics in Nature and Society (2020) Vol. 2020, pp. 1-19
Open Access | Times Cited: 27
A novel ensemble electricity load forecasting system based on a decomposition-selection-optimization strategy
Ying Wang, Hongmin Li, Atif Jahanger, et al.
Energy (2024) Vol. 312, pp. 133524-133524
Closed Access | Times Cited: 2
Ying Wang, Hongmin Li, Atif Jahanger, et al.
Energy (2024) Vol. 312, pp. 133524-133524
Closed Access | Times Cited: 2
Applicability of a Three-Stage Hybrid Model by Employing a Two-Stage Signal Decomposition Approach and a Deep Learning Methodology for Runoff Forecasting at Swat River Catchment, Pakistan
Muhammad Sibtain, Xianshan Li, Muhammad Imran Azam, et al.
Polish Journal of Environmental Studies (2020) Vol. 30, Iss. 1, pp. 369-384
Open Access | Times Cited: 18
Muhammad Sibtain, Xianshan Li, Muhammad Imran Azam, et al.
Polish Journal of Environmental Studies (2020) Vol. 30, Iss. 1, pp. 369-384
Open Access | Times Cited: 18
Multilayer Perceptron Network Optimization for Chaotic Time Series Modeling
Mu Qiao, Yanchun Liang, Adriano Tavares, et al.
Entropy (2023) Vol. 25, Iss. 7, pp. 973-973
Open Access | Times Cited: 5
Mu Qiao, Yanchun Liang, Adriano Tavares, et al.
Entropy (2023) Vol. 25, Iss. 7, pp. 973-973
Open Access | Times Cited: 5
Optimization and Decomposition Methods in Network Traffic Prediction Model: A Review and Discussion
Jinmei Shi, Yu‐Beng Leau, Kun Li, et al.
IEEE Access (2020) Vol. 8, pp. 202858-202871
Open Access | Times Cited: 13
Jinmei Shi, Yu‐Beng Leau, Kun Li, et al.
IEEE Access (2020) Vol. 8, pp. 202858-202871
Open Access | Times Cited: 13
Two-Stage Hybrid Machine Learning Model for High-Frequency Intraday Bitcoin Price Prediction Based on Technical Indicators, Variational Mode Decomposition, and Support Vector Regression
Samuel Asante Gyamerah
Complexity (2021) Vol. 2021, Iss. 1
Open Access | Times Cited: 12
Samuel Asante Gyamerah
Complexity (2021) Vol. 2021, Iss. 1
Open Access | Times Cited: 12
An Enhanced Algorithm of RNN Using Trend in Time-Series
Dokkyun Yi, Sunyoung Bu, Inmi Kim
Symmetry (2019) Vol. 11, Iss. 7, pp. 912-912
Open Access | Times Cited: 13
Dokkyun Yi, Sunyoung Bu, Inmi Kim
Symmetry (2019) Vol. 11, Iss. 7, pp. 912-912
Open Access | Times Cited: 13
Predicting e-commerce product prices through the integration of variational mode decomposition and deep neural networks
Haojie Wu
PeerJ Computer Science (2024) Vol. 10, pp. e2353-e2353
Open Access | Times Cited: 1
Haojie Wu
PeerJ Computer Science (2024) Vol. 10, pp. e2353-e2353
Open Access | Times Cited: 1
Time Series Forecasting Based on Support Vector Machine Using Particle Swarm Optimization
Zana Azeez Kakarash, Hawkar Saeed Ezat, Shokhan Ali Omar, et al.
International Journal of Computing (2022), pp. 76-88
Open Access | Times Cited: 6
Zana Azeez Kakarash, Hawkar Saeed Ezat, Shokhan Ali Omar, et al.
International Journal of Computing (2022), pp. 76-88
Open Access | Times Cited: 6
Monthly Streamflow Forecasting Using Decomposition-Based Hybridization with Two-step Verification Method Over the Mangla Watershed, Pakistan
Muhammad Tayyab, Xiaohua Dong, Muhammad Sibtain, et al.
Iranian Journal of Science and Technology Transactions of Civil Engineering (2022) Vol. 47, Iss. 1, pp. 565-584
Closed Access | Times Cited: 6
Muhammad Tayyab, Xiaohua Dong, Muhammad Sibtain, et al.
Iranian Journal of Science and Technology Transactions of Civil Engineering (2022) Vol. 47, Iss. 1, pp. 565-584
Closed Access | Times Cited: 6
n-Dimensional Chaotic Time Series Prediction Method
Fang Liu, Baohui Yin, Mowen Cheng, et al.
Electronics (2022) Vol. 12, Iss. 1, pp. 160-160
Open Access | Times Cited: 4
Fang Liu, Baohui Yin, Mowen Cheng, et al.
Electronics (2022) Vol. 12, Iss. 1, pp. 160-160
Open Access | Times Cited: 4
Real‐Time Air Quality Index Detection through Regression‐Based Convolutional Neural Network Model on Captured Images
Pritisha Sarkar, Duranta Durbaar Vishal Saha, Mousumi Saha
Environmental Quality Management (2024) Vol. 34, Iss. 1
Closed Access
Pritisha Sarkar, Duranta Durbaar Vishal Saha, Mousumi Saha
Environmental Quality Management (2024) Vol. 34, Iss. 1
Closed Access
Optimum Application of Hybrid Data Driven Models With Two Step Verification Method at Mangla Watershed, Pakistan
Muhammad Tayyab, Xiaohua Dong, Muhammad Sibtain, et al.
Research Square (Research Square) (2021)
Open Access | Times Cited: 1
Muhammad Tayyab, Xiaohua Dong, Muhammad Sibtain, et al.
Research Square (Research Square) (2021)
Open Access | Times Cited: 1
Optimizing financial engineering time indicator using bionics computation algorithm and neural network
Jiajia Lu, Yanqiu Ding, Zheng Li
(2023), pp. 42-42
Closed Access
Jiajia Lu, Yanqiu Ding, Zheng Li
(2023), pp. 42-42
Closed Access
Symmetry in Applied Continuous Mechanics
Marín Marín, Dumitru Bǎleanu, Sorin Vlase
Symmetry (2019) Vol. 11, Iss. 10, pp. 1286-1286
Open Access
Marín Marín, Dumitru Bǎleanu, Sorin Vlase
Symmetry (2019) Vol. 11, Iss. 10, pp. 1286-1286
Open Access