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:
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
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
Showing 1-25 of 37 citing articles:
Forecast Methods for Time Series Data: A Survey
Zhenyu Liu, Zhengtong Zhu, Jing Gao, et al.
IEEE Access (2021) Vol. 9, pp. 91896-91912
Open Access | Times Cited: 129
Zhenyu Liu, Zhengtong Zhu, Jing Gao, et al.
IEEE Access (2021) Vol. 9, pp. 91896-91912
Open Access | Times Cited: 129
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
Manish Pant, Sanjay Kumar
Granular Computing (2021) Vol. 7, Iss. 2, pp. 285-303
Closed Access | Times Cited: 57
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
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
Radha Mohan Pattanayak, H. S. Behera, Sibarama Panigrahi
Engineering Applications of Artificial Intelligence (2020) Vol. 99, pp. 104136-104136
Closed Access | Times Cited: 62
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
Naresh Kumar, Seba Susan
Applied Soft Computing (2021) Vol. 110, pp. 107611-107611
Open Access | Times Cited: 50
Machine learning with Belief Rule-Based Expert Systems to predict stock price movements
Emam Hossain, Mohammad Shahadat Hossain, Pär‐Ola Zander, et al.
Expert Systems with Applications (2022) Vol. 206, pp. 117706-117706
Closed Access | Times Cited: 32
Emam Hossain, Mohammad Shahadat Hossain, Pär‐Ola Zander, et al.
Expert Systems with Applications (2022) Vol. 206, pp. 117706-117706
Closed Access | Times Cited: 32
Deep CNN and LSTM Approaches for Efficient Workload Prediction in Cloud Environment
Abadhan Saumya Sabyasachi, Biswa Mohan Sahoo, Abadhan Ranganath
Procedia Computer Science (2024) Vol. 235, pp. 2651-2661
Open Access | Times Cited: 4
Abadhan Saumya Sabyasachi, Biswa Mohan Sahoo, Abadhan Ranganath
Procedia Computer Science (2024) Vol. 235, pp. 2651-2661
Open Access | Times Cited: 4
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
Radha Mohan Pattanayak, M. V. Sangameswar, T. Pradhan, et al.
Lecture notes in networks and systems (2025), pp. 239-248
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
Umashankar Samal
Quality and Reliability Engineering International (2025)
Closed Access
Fuzzy time series forecasting based on hesitant fuzzy sets, particle swarm optimization and support vector machine-based hybrid method
Manish Pant, Sanjay Kumar
Granular Computing (2021) Vol. 7, Iss. 4, pp. 861-879
Closed Access | Times Cited: 29
Manish Pant, Sanjay Kumar
Granular Computing (2021) Vol. 7, Iss. 4, pp. 861-879
Closed Access | Times Cited: 29
K-Means Clustering Based High Order Weighted Probabilistic Fuzzy Time Series Forecasting Method
Krishna Kumar Gupta, Sanjay Kumar
Cybernetics & Systems (2022) Vol. 54, Iss. 2, pp. 197-219
Closed Access | Times Cited: 11
Krishna Kumar Gupta, Sanjay Kumar
Cybernetics & Systems (2022) Vol. 54, Iss. 2, pp. 197-219
Closed Access | Times Cited: 11
Forecasting Crude Oil Prices: A Machine Learning Perspective
Sourav Kumar Purohit, Sibarama Panigrahi
Communications in computer and information science (2024), pp. 15-26
Closed Access | Times Cited: 1
Sourav Kumar Purohit, Sibarama Panigrahi
Communications in computer and information science (2024), pp. 15-26
Closed Access | Times Cited: 1
A Novel Fuzzy Time Series Method Based on Dynamic Ridge Polynomial Neural Network With Penalty Term and Fuzzy Clustering Analysis
Boyang Wang, Xisong Miao, Huanyu Wei, et al.
IEEE Access (2023) Vol. 11, pp. 130426-130438
Open Access | Times Cited: 3
Boyang Wang, Xisong Miao, Huanyu Wei, et al.
IEEE Access (2023) Vol. 11, pp. 130426-130438
Open Access | Times Cited: 3
A method for fuzzy time series forecasting based on interval index number and membership value using fuzzy c-means clustering
Kiran Bisht, Arun Kumar
Evolutionary Intelligence (2021) Vol. 16, Iss. 1, pp. 285-297
Closed Access | Times Cited: 7
Kiran Bisht, Arun Kumar
Evolutionary Intelligence (2021) Vol. 16, Iss. 1, pp. 285-297
Closed Access | Times Cited: 7
A Two-Factor Fuzzy-Fluctuation Time Series Forecasting Model for Stock Markets Based on a Probabilistic Linguistic Preference Relationship and Similarity Measure
Aiwu Zhao, Junhong Gao, Hongjun Guan
IEEE Access (2021) Vol. 9, pp. 144740-144755
Open Access | Times Cited: 6
Aiwu Zhao, Junhong Gao, Hongjun Guan
IEEE Access (2021) Vol. 9, pp. 144740-144755
Open Access | Times Cited: 6
Particle Swarm Optimization and Computational Algorithm Based Weighted Fuzzy Time Series Forecasting Method
Shivani Pant, Sanjay Kumar
Algorithms for intelligent systems (2022), pp. 9-23
Closed Access | Times Cited: 3
Shivani Pant, Sanjay Kumar
Algorithms for intelligent systems (2022), pp. 9-23
Closed Access | Times Cited: 3
Picture Fuzzy Time Series Forecasting with a Novel Variant of Particle Swarm Optimization
Subhabrata Rath, Debashis Dutta
SN Computer Science (2024) Vol. 5, Iss. 1
Closed Access
Subhabrata Rath, Debashis Dutta
SN Computer Science (2024) Vol. 5, Iss. 1
Closed Access
Implementing lee's model to apply fuzzy time series in forecasting bitcoin price
Yuniar Farida, Lailatul Ainiyah
Computer Science and Information Technologies (2024) Vol. 5, Iss. 1, pp. 66-77
Open Access
Yuniar Farida, Lailatul Ainiyah
Computer Science and Information Technologies (2024) Vol. 5, Iss. 1, pp. 66-77
Open Access
Enhancing Energy Efficiency in Sensor Cloud Through Time Series Forecasting of Sensor Data
Kalyan Das, Satyabrata Das, Monalisha Pattnaik
Instrumentation Mesure Métrologie (2024) Vol. 23, Iss. 1, pp. 13-29
Open Access
Kalyan Das, Satyabrata Das, Monalisha Pattnaik
Instrumentation Mesure Métrologie (2024) Vol. 23, Iss. 1, pp. 13-29
Open Access
Implementing lee's model to apply fuzzy time series in forecasting bitcoin price
Yuniar Farida, Lailatul Ainiyah
Computer Science and Information Technologies (2024) Vol. 5, Iss. 1, pp. 72-83
Open Access
Yuniar Farida, Lailatul Ainiyah
Computer Science and Information Technologies (2024) Vol. 5, Iss. 1, pp. 72-83
Open Access
A Machine Learning-Based Forecasting Model with Deep Learning Capabilities for Unbalanced Time Series Data
A. Amudha, Sahil Suri, Meena Sindhu, et al.
(2024), pp. 1-7
Closed Access
A. Amudha, Sahil Suri, Meena Sindhu, et al.
(2024), pp. 1-7
Closed Access
Implementing lee's model to apply fuzzy time series in forecasting bitcoin price
Yuniar Farida, Lailatul Ainiyah
Computer Science and Information Technologies (2024) Vol. 5, Iss. 1, pp. 66-77
Open Access
Yuniar Farida, Lailatul Ainiyah
Computer Science and Information Technologies (2024) Vol. 5, Iss. 1, pp. 66-77
Open Access
Energy-Efficient Forecasting of Temperature Data in Sensor Cloud System Using a Hybrid SVM-ANN Method
Kalyan Das, Satyabrata Das, Sibarama Panigrahi
Wireless Personal Communications (2023) Vol. 129, Iss. 4, pp. 2929-2944
Closed Access | Times Cited: 1
Kalyan Das, Satyabrata Das, Sibarama Panigrahi
Wireless Personal Communications (2023) Vol. 129, Iss. 4, pp. 2929-2944
Closed Access | Times Cited: 1
Forecasting stock prices based on multivariable fuzzy time series
Zhi Liu
AIMS Mathematics (2023) Vol. 8, Iss. 6, pp. 12778-12792
Open Access | Times Cited: 1
Zhi Liu
AIMS Mathematics (2023) Vol. 8, Iss. 6, pp. 12778-12792
Open Access | Times Cited: 1
Delhi air quality index forecasting using statistical and machine learning models
Sushree Subhaprada Pradhan, Sibarama Panigrahi
AIP conference proceedings (2023) Vol. 2705, pp. 020002-020002
Closed Access | Times Cited: 1
Sushree Subhaprada Pradhan, Sibarama Panigrahi
AIP conference proceedings (2023) Vol. 2705, pp. 020002-020002
Closed Access | Times Cited: 1
