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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:

Forecasting interval time series using a fully complex-valued RBF neural network with DPSO and PSO algorithms
Tao Xiong, Yukun Bao, Zhongyi Hu, et al.
Information Sciences (2015) Vol. 305, pp. 77-92
Closed Access | Times Cited: 126

Showing 1-25 of 126 citing articles:

Comprehensive Learning Particle Swarm Optimization Algorithm With Local Search for Multimodal Functions
Yulian Cao, Zhang Han, Wenfeng Li, et al.
IEEE Transactions on Evolutionary Computation (2018) Vol. 23, Iss. 4, pp. 718-731
Closed Access | Times Cited: 341
Neural networks: An overview of early research, current frameworks and new challenges
A. Prieto, Beatriz Prieto, Eva M. Ortigosa, et al.
Neurocomputing (2016) Vol. 214, pp. 242-268
Closed Access | Times Cited: 326
Influence maximization in social networks based on discrete particle swarm optimization
Maoguo Gong, Jianan Yan, Bo Shen, et al.
Information Sciences (2016) Vol. 367-368, pp. 600-614
Closed Access | Times Cited: 238
Stock Market Forecasting Using Computational Intelligence: A Survey
Gourav Kumar, Sanjeev Jain, Uday Pratap Singh
Archives of Computational Methods in Engineering (2020) Vol. 28, Iss. 3, pp. 1069-1101
Closed Access | Times Cited: 143
A textual-based featuring approach for depression detection using machine learning classifiers and social media texts
Raymond Chiong, Gregorius Satia Budhi, Sandeep Dhakal, et al.
Computers in Biology and Medicine (2021) Vol. 135, pp. 104499-104499
Closed Access | Times Cited: 139
A comparative study of population-based optimization algorithms for downstream river flow forecasting by a hybrid neural network model
Xinyi Chen, Kwok‐wing Chau, A.O. Busari
Engineering Applications of Artificial Intelligence (2015) Vol. 46, pp. 258-268
Closed Access | Times Cited: 168
Evolving granular analytics for interval time series forecasting
Leandro Maciel, Rosângela Ballini, Fernando Gomide
Granular Computing (2016) Vol. 1, Iss. 4, pp. 213-224
Closed Access | Times Cited: 99
Interval decomposition ensemble approach for crude oil price forecasting
Shaolong Sun, Yuying Sun, Shouyang Wang, et al.
Energy Economics (2018) Vol. 76, pp. 274-287
Closed Access | Times Cited: 92
An intelligent pattern recognition model for supporting investment decisions in stock market
Tai-Liang Chen, Fengyu Chen
Information Sciences (2016) Vol. 346-347, pp. 261-274
Closed Access | Times Cited: 91
Generalized exponential autoregressive models for nonlinear time series: Stationarity, estimation and applications
Guangyong Chen, Min Gan, Guolong Chen
Information Sciences (2018) Vol. 438, pp. 46-57
Closed Access | Times Cited: 83
A combination forecasting model based on hybrid interval multi-scale decomposition: Application to interval-valued carbon price forecasting
Jinpei Liu, Piao Wang, Huayou Chen, et al.
Expert Systems with Applications (2021) Vol. 191, pp. 116267-116267
Closed Access | Times Cited: 79
Interval forecasting of carbon price: A novel multiscale ensemble forecasting approach
Bangzhu Zhu, Chunzhuo Wan, Ping Wang
Energy Economics (2022) Vol. 115, pp. 106361-106361
Closed Access | Times Cited: 43
An adaptive particle swarm optimization-based hybrid long short-term memory model for stock price time series forecasting
Gourav Kumar, Uday Pratap Singh, Sanjeev Jain
Soft Computing (2022) Vol. 26, Iss. 22, pp. 12115-12135
Open Access | Times Cited: 41
A novel meta-heuristic algorithm: Dynamic Virtual Bats Algorithm
Ali Osman Topal, Oğuz Altun
Information Sciences (2016) Vol. 354, pp. 222-235
Closed Access | Times Cited: 80
Accelerating particle swarm optimization using crisscross search
Anbo Meng, Zhuan Li, Hao Yin, et al.
Information Sciences (2015) Vol. 329, pp. 52-72
Closed Access | Times Cited: 76
Incremental updating of rough approximations in interval-valued information systems under attribute generalization
Yingying Zhang, Tianrui Li, Chuan Luo, et al.
Information Sciences (2016) Vol. 373, pp. 461-475
Open Access | Times Cited: 67
Network self attention for forecasting time series
Yuntong Hu, Fuyuan Xiao
Applied Soft Computing (2022) Vol. 124, pp. 109092-109092
Closed Access | Times Cited: 33
A Comprehensive Survey on Higher Order Neural Networks and Evolutionary Optimization Learning Algorithms in Financial Time Series Forecasting
Sudersan Behera, Sarat Chandra Nayak, A. V. S. Pavan Kumar
Archives of Computational Methods in Engineering (2023) Vol. 30, Iss. 7, pp. 4401-4448
Closed Access | Times Cited: 18
Equipping high-order fuzzy cognitive map with interpretable weights for multivariate time series forecasting
Chenxi Ouyang, Fusheng Yu, Fei Yang
Applied Soft Computing (2025) Vol. 170, pp. 112724-112724
Closed Access
Sound quality prediction of vehicle interior noise and mathematical modeling using a back propagation neural network (BPNN) based on particle swarm optimization (PSO)
Enlai Zhang, Liang Hou, Chao Shen, et al.
Measurement Science and Technology (2015) Vol. 27, Iss. 1, pp. 015801-015801
Closed Access | Times Cited: 57
Is a Complex-Valued Stepsize Advantageous in Complex-Valued Gradient Learning Algorithms?
Huisheng Zhang, Danilo P. Mandic
IEEE Transactions on Neural Networks and Learning Systems (2015) Vol. 27, Iss. 12, pp. 2730-2735
Closed Access | Times Cited: 50
An optimized decomposition integration framework for carbon price prediction based on multi-factor two-stage feature dimension reduction
Wenjie Xu, Jujie Wang, Yue Zhang, et al.
Annals of Operations Research (2022)
Open Access | Times Cited: 26
A Novel Radial Basis Function Neural Network with High Generalization Performance for Nonlinear Process Modelling
Yanxia Yang, Pu Wang, Xuejin Gao
Processes (2022) Vol. 10, Iss. 1, pp. 140-140
Open Access | Times Cited: 24
A Radial Basis Function Neural Network Approach to Predict Preschool Teachers’ Technology Acceptance Behavior
Dana Rad, Gilbert C. Magulod, Evelina Balaș, et al.
Frontiers in Psychology (2022) Vol. 13
Open Access | Times Cited: 22
A bibliometric analysis on the application of deep learning in finance: status, development and future directions
Manogna R.L., A.. Anand
Kybernetes (2023)
Closed Access | Times Cited: 13
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