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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:

A study on leading machine learning techniques for high order fuzzy time series forecasting
Sibarama Panigrahi, H. S. Behera
Engineering Applications of Artificial Intelligence (2019) Vol. 87, pp. 103245-103245
Closed Access | Times Cited: 67

Showing 1-25 of 67 citing articles:

Day-ahead hourly photovoltaic power forecasting using attention-based CNN-LSTM neural network embedded with multiple relevant and target variables prediction pattern
Jiaqi Qu, Zheng Qian, Yan Pei
Energy (2021) Vol. 232, pp. 120996-120996
Closed Access | Times Cited: 193
The Fusion of Deep Learning and Fuzzy Systems: A State-of-the-Art Survey
Yuanhang Zheng, Zeshui Xu, Xinxin Wang
IEEE Transactions on Fuzzy Systems (2021) Vol. 30, Iss. 8, pp. 2783-2799
Closed Access | Times Cited: 114
Long sequence time-series forecasting with deep learning: A survey
Zonglei Chen, Minbo Ma, Tianrui Li, et al.
Information Fusion (2023) Vol. 97, pp. 101819-101819
Closed Access | Times Cited: 102
Particle swarm optimization and intuitionistic fuzzy set-based novel method for fuzzy time series forecasting
Manish Pant, Sanjay Kumar
Granular Computing (2021) Vol. 7, Iss. 2, pp. 285-303
Closed Access | Times Cited: 57
Computationally expedient Photovoltaic power Forecasting: A LSTM ensemble method augmented with adaptive weighting and data segmentation technique
Razin Ahmed, Victor Sreeram, Roberto Togneri, et al.
Energy Conversion and Management (2022) Vol. 258, pp. 115563-115563
Closed Access | Times Cited: 55
A novel high order hesitant fuzzy time series forecasting by using mean aggregated membership value with support vector machine
Radha Mohan Pattanayak, H. S. Behera, Sibarama Panigrahi
Information Sciences (2023) Vol. 626, pp. 494-523
Closed Access | Times Cited: 26
A novel probabilistic intuitionistic fuzzy set based model for high order fuzzy time series forecasting
Radha Mohan Pattanayak, H. S. Behera, Sibarama Panigrahi
Engineering Applications of Artificial Intelligence (2020) Vol. 99, pp. 104136-104136
Closed Access | Times Cited: 62
Bankruptcy or Success? The Effective Prediction of a Company’s Financial Development Using LSTM
Marek Vochоzka, Jaromír Vrbka, Petr Šuleř
Sustainability (2020) Vol. 12, Iss. 18, pp. 7529-7529
Open Access | Times Cited: 51
Particle swarm optimization of partitions and fuzzy order for fuzzy time series forecasting of COVID-19
Naresh Kumar, Seba Susan
Applied Soft Computing (2021) Vol. 110, pp. 107611-107611
Open Access | Times Cited: 50
Short-term solar irradiance forecasting in streaming with deep learning
Pedro Lara-Benítez, Manuel Carranza-García, José María Luna-Romera, et al.
Neurocomputing (2023) Vol. 546, pp. 126312-126312
Open Access | Times Cited: 20
Fuzzy-Probabilistic Time Series Forecasting Combining Bayesian Network and Fuzzy Time Series Model
Bo Wang, Xiaodong Liu
Symmetry (2025) Vol. 17, Iss. 2, pp. 275-275
Open Access
Long-term prediction of time series based on fuzzy time series and information granulation
Yunzhen Liu, Lidong Wang
Granular Computing (2024) Vol. 9, Iss. 2
Closed Access | Times Cited: 4
Enhancing Prediction Accuracy with an Innovative Hybrid Fuzzy Time Series Framework
Abhijit Gogoi, Bhogeswar Borah
SN Computer Science (2025) Vol. 6, Iss. 2
Closed Access
A Hybrid Jaya-Pi-Sigma Model Using Length-Based Discretization Approach for Time Series Forecasting
Radha Mohan Pattanayak, M. V. Sangameswar, T. Pradhan, et al.
Lecture notes in networks and systems (2025), pp. 239-248
Closed Access
Non-stationary fuzzy time series modeling and forecasting using deep learning with swarm optimization
Naresh Kumar, Seba Susan
International Journal of Machine Learning and Cybernetics (2025)
Closed Access
Hybrid Approach to Software Fault Prediction Using Particle Swarm Optimization and Fuzzy Time Series
Umashankar Samal
Quality and Reliability Engineering International (2025)
Closed Access
A New Approach for Time Series Prediction: Fuzzy Regression Network Functions
Mehmet Raci Aktoprak, Özge Cağcağ Yolcu
International Journal of Advances in Engineering and Pure Sciences (2025) Vol. 37, Iss. 1, pp. 36-52
Closed Access
High-Order Fuzzy Time Series Forecasting by Using Membership Values Along with Data and Support Vector Machine
Radha Mohan Pattanayak, Sibarama Panigrahi, H. S. Behera
Arabian Journal for Science and Engineering (2020) Vol. 45, Iss. 12, pp. 10311-10325
Closed Access | Times Cited: 37
Dynamic prediction models of rock quality designation in tunneling projects
Arsalan Mahmoodzadeh, Mokhtar Mohammadi, Hunar Farid Hama Ali, et al.
Transportation Geotechnics (2020) Vol. 27, pp. 100497-100497
Closed Access | Times Cited: 32
Experimental Performance Analysis of Machine Learning Algorithms
Ganesh Khekare, Anil V. Turukmane, Chetan Dhule, et al.
Lecture notes in electrical engineering (2022), pp. 1041-1052
Open Access | Times Cited: 20
A novel forecasting strategy for improving the performance of deep learning models
Ioannis E. Livieris
Expert Systems with Applications (2023) Vol. 230, pp. 120632-120632
Closed Access | Times Cited: 11
Testing and Analysis of Predictive Capabilities of Machine Learning Algorithms
Ganesh Khekare, Lokesh Kumar Bramhane, Chetan Dhule, et al.
Studies in computational intelligence (2022), pp. 419-442
Closed Access | Times Cited: 18
A novel multi-step forecasting strategy for enhancing deep learning models’ performance
Ioannis E. Livieris, Panagiotis Pintelas
Neural Computing and Applications (2022) Vol. 34, Iss. 22, pp. 19453-19470
Closed Access | Times Cited: 17
A dynamic soft sensor of industrial fuzzy time series with propositional linear temporal logic
Xu Huo, Kuangrong Hao, Lei Chen, et al.
Expert Systems with Applications (2022) Vol. 201, pp. 117176-117176
Closed Access | Times Cited: 17
Bayesian network based probabilistic weighted high-order fuzzy time series forecasting
Bo Wang, Xiaodong Liu, Ming Chi, et al.
Expert Systems with Applications (2023) Vol. 237, pp. 121430-121430
Closed Access | Times Cited: 9
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