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 Non-Probabilistic Neutrosophic Entropy-Based Method For High-Order Fuzzy Time-Series Forecasting
Radha Mohan Pattanayak, H. S. Behera, Sibarama Panigrahi
Arabian Journal for Science and Engineering (2021) Vol. 47, Iss. 2, pp. 1399-1421
Closed Access | Times Cited: 13

Showing 13 citing articles:

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

Crude Oil Price Forecasting Using Hybridization of Optimized Deep Learning and Shallow Machine Learning Models
Sourav Kumar Purohit, Sibarama Panigrahi, Amarnath Jena
Communications in computer and information science (2025), pp. 3-16
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

A neutrosophical model for optimal sustainable closed-loop supply chain network with considering inflation and carbon emission policies
Saeid Kalantari, Hamed Kazemipoor, Farzad Movahedi Sobhani, et al.
Decision Making Applications in Management and Engineering (2022) Vol. 5, Iss. 2, pp. 46-77
Open Access | Times Cited: 19

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

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

A study and development of high‐order fuzzy time series forecasting methods for air quality index forecasting
Sushree Subhaprada Pradhan, Sibarama Panigrahi
Journal of Forecasting (2024) Vol. 43, Iss. 7, pp. 2635-2658
Closed 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

Studies on Machine Learning Techniques for Multivariate Forecasting of Delhi Air Quality Index
Sushree Subhaprada Pradhan, Sibarama Panigrahi
Lecture notes in networks and systems (2023), pp. 133-146
Closed Access | Times Cited: 1

Improving the Accuracy of Forecasting Models Using the Modified Model of Single-Valued Neutrosophic Hesitant Fuzzy Time Series
Kittikun Pantachang, Roengchai Tansuchat, Woraphon Yamaka
Axioms (2022) Vol. 11, Iss. 10, pp. 527-527
Open Access | Times Cited: 2

Dollar Price Prediction Using ARIMA
Alokam Ujwala Bharati, Chinnakanu Sai Janakiram, Radha Mohan Pattanayak, et al.
Lecture notes in networks and systems (2023), pp. 19-30
Closed Access

Neutrosophic set and SODA based computational model for time series forecasting
Shivani Pant, Sanjay Kumar
AIP conference proceedings (2023) Vol. 2981, pp. 020033-020033
Closed Access

Innovative Approaches in Tomato Leaf Disease Recognition using Deep Learning
Hritwik Ghosh, Irfan Sadiq Rahat, Radha Mohan Pattanayak, et al.
(2023), pp. 86-96
Closed Access

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