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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 26-50 of 126 citing articles:

Performance Analysis of Four Decomposition-Ensemble Models for One-Day-Ahead Agricultural Commodity Futures Price Forecasting
Deyun Wang, Chenqiang Yue, Shuai Wei, et al.
Algorithms (2017) Vol. 10, Iss. 3, pp. 108-108
Open Access | Times Cited: 41
Intuitionistic fuzzy grey cognitive maps for forecasting interval-valued time series
Petr Hájek, Wojciech Froelich, Ondřej Procházka
Neurocomputing (2020) Vol. 400, pp. 173-185
Closed Access | Times Cited: 34
Effective forecasting of stock market price by using extreme learning machine optimized by PSO-based group oriented crow search algorithm
Sudeepa Das, Tirath Prasad Sahu, Rekh Ram Janghel, et al.
Neural Computing and Applications (2021) Vol. 34, Iss. 1, pp. 555-591
Open Access | Times Cited: 28
Identification of top-k influential nodes based on discrete crow search algorithm optimization for influence maximization
Huan Li, Ruisheng Zhang, Zhili Zhao, et al.
Applied Intelligence (2021) Vol. 51, Iss. 11, pp. 7749-7765
Closed Access | Times Cited: 27
Carbon price interval prediction method based on probability density recurrence network and interval multi-layer perceptron
Mengrui Zhu, Hua Xu, Minggang Wang, et al.
Physica A Statistical Mechanics and its Applications (2024) Vol. 636, pp. 129543-129543
Closed Access | Times Cited: 3
Enhancing interval-valued time series forecasting through bivariate ensemble empirical mode decomposition and optimal prediction
Zhifu Tao, Wenqing Ni, Piao Wang
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108007-108007
Closed Access | Times Cited: 3
Efficient class-specific shapelets learning for interpretable time series classification
Zhiyu Liang, Hongzhi Wang
Information Sciences (2021) Vol. 570, pp. 428-450
Closed Access | Times Cited: 25
A novel link prediction model for interval-valued crude oil prices based on complex network and multi-source information
Jinpei Liu, Xiaoman Zhao, Rui Luo, et al.
Applied Energy (2024) Vol. 376, pp. 124261-124261
Closed Access | Times Cited: 3
Application of Integrated Artificial Neural Networks Based on Decomposition Methods to Predict Streamflow at Upper Indus Basin, Pakistan
Muhammad Tayyab, Ijaz Ahmad, Na Sun, et al.
Atmosphere (2018) Vol. 9, Iss. 12, pp. 494-494
Open Access | Times Cited: 29
Attention enhanced long short-term memory network with multi-source heterogeneous information fusion: An application to BGI Genomics
Zhang Qun, Lijun Yang, Feng Zhou
Information Sciences (2020) Vol. 553, pp. 305-330
Open Access | Times Cited: 25
Linear dynamic fuzzy granule based long-term forecasting model of interval-valued time series
Yadong Hao, Shurong Jiang, Fusheng Yu, et al.
Information Sciences (2021) Vol. 586, pp. 563-595
Closed Access | Times Cited: 21
Linear and nonlinear framework for interval-valued PM2.5 concentration forecasting based on multi-factor interval division strategy and bivariate empirical mode decomposition
Zicheng Wang, Hao Li, Huayou Chen, et al.
Expert Systems with Applications (2022) Vol. 205, pp. 117707-117707
Closed Access | Times Cited: 15
Oil and gold price prediction using optimized fuzzy inference system based extreme learning machine
Sudeepa Das, Tirath Prasad Sahu, Rekh Ram Janghel
Resources Policy (2022) Vol. 79, pp. 103109-103109
Closed Access | Times Cited: 14
Interval time series forecasting: A systematic literature review
Piao Wang, Shahid Hussain Gurmani, Zhifu Tao, et al.
Journal of Forecasting (2023) Vol. 43, Iss. 2, pp. 249-285
Closed Access | Times Cited: 8
A new NN-PSO hybrid model for forecasting Euro/Dollar exchange rate volatility
Ehsan Hajizadeh, Masoud Mahootchi, Akbar Esfahanipour, et al.
Neural Computing and Applications (2015) Vol. 31, Iss. 7, pp. 2063-2071
Closed Access | Times Cited: 25
The role of technology in the management and exploitation of internal business intelligence
Ronda Harrison, Angelique Parker, Gabrielle Brosas, et al.
Journal of Systems and Information Technology (2015) Vol. 17, Iss. 3, pp. 247-262
Closed Access | Times Cited: 24
Improved Representations of Heterogeneous Carbon Reforming Catalysis Using Machine Learning
Xinyu Li, Raymond Chiong, Zhongyi Hu, et al.
Journal of Chemical Theory and Computation (2019) Vol. 15, Iss. 12, pp. 6882-6894
Closed Access | Times Cited: 23
Combined estimation of fire perimeters and fuel adjustment factors in FARSITE for forecasting wildland fire propagation
Tengjiao Zhou, Long Ding, Jie Ji, et al.
Fire Safety Journal (2020) Vol. 116, pp. 103167-103167
Closed Access | Times Cited: 23
Maximizing three-hop influence spread in social networks using discrete comprehensive learning artificial bee colony optimizer
Lianbo Ma, Ying Liu
Applied Soft Computing (2019) Vol. 83, pp. 105606-105606
Closed Access | Times Cited: 22
Deep Autoencoder for Mass Spectrometry Feature Learning and Cancer Detection
Qingguo Zhou, Binbin Yong, Qingquan Lv, et al.
IEEE Access (2020) Vol. 8, pp. 45156-45166
Open Access | Times Cited: 22
A complex-valued encoding satin bowerbird optimization algorithm for global optimization
Sen Zhang, Yongquan Zhou, Qifang Luo
Evolving Systems (2019) Vol. 12, Iss. 1, pp. 191-205
Closed Access | Times Cited: 22
A time-frequency-based interval decomposition ensemble method for forecasting gasoil prices under the trend of low-carbon development
Zichun Yan, Fangzhu Tian, Yuying Sun, et al.
Energy Economics (2024) Vol. 134, pp. 107609-107609
Closed Access | Times Cited: 2
Analyzing the performance of geometric mean optimization-based artificial neural networks for cryptocurrency forecasting
Sudersan Behera, A. V. S. Pavan Kumar, Sarat Chandra Nayak
International Journal of Information Technology (2024)
Closed Access | Times Cited: 2
Single-step prediction method of burning zone temperature based on real-time wavelet filtering and KELM
Shizeng Lu, Hongliang Yu, Huijun Dong, et al.
Engineering Applications of Artificial Intelligence (2018) Vol. 70, pp. 142-148
Closed Access | Times Cited: 21
A hybrid model considering cointegration for interval‐valued pork price forecasting in China
Dabin Zhang, Qian Li, Amin Mugera, et al.
Journal of Forecasting (2020) Vol. 39, Iss. 8, pp. 1324-1341
Closed Access | Times Cited: 20

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