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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:

Evaluating the Performance of Metaheuristic Based Artificial Neural Networks for Cryptocurrency Forecasting
Sudersan Behera, Sarat Chandra Nayak, A. V. S. Pavan Kumar
Computational Economics (2023) Vol. 64, Iss. 2, pp. 1219-1258
Closed Access | Times Cited: 14

Showing 14 citing articles:

An empirical evaluation of fuzzy bidirectional long short-term memory with soft computing based decision-making model for predicting volatility of cryptocurrencies
Mahmoud Ragab
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Improved Set Algebra-Based Heuristic Technique for Training Multiplicative Functional Link Artificial Neural Networks for Financial Time Series Forecasting
Sudersan Behera, AVS Pavan Kumar, Sarat Chandra Nayak
SN Computer Science (2024) Vol. 5, Iss. 5
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
Modeling And Enhancing Crude Oil Price Forecasting Using Enhanced Set Algebra-Based Heuristic Algorithm-Based Extreme Learning Machine
Sudersan Behera, A.V. Senthil Kumar, Sarat Chandra Nayak
Research Square (Research Square) (2024)
Open Access | Times Cited: 1
Decoding Bitcoin: leveraging macro- and micro-factors in time series analysis for price prediction
Hae Sun Jung, Jang Hyun Kim, Haein Lee
PeerJ Computer Science (2024) Vol. 10, pp. e2314-e2314
Open Access | Times Cited: 1
Enhancing China’s green GDP accounting through blockchain and artificial neural networks (ANNs) and machine learning (ML) modeling
Nengchao Wang, Yunhao Zhao, Jun Li, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access
Cryptocurrency Price Prediction: A Comprehensive Analysis of High-dimensional Features with Deep Learning Techniques
Nrusingha Tripathy, Sarbeswara Hota, Debahuti Mishra, et al.
(2024), pp. 1-6
Closed Access
Evolutionary hybrid neural networks for time series forecasting
Sudersan Behera, A. Venkata Ramana, P. Venkata Pratima, et al.
(2024), pp. 1-6
Closed Access
Developing a RBFN-Based Enhanced Web Crawler for Tamil Text Categorization
P M Suresh, K. Raja
(2024), pp. 1-5
Closed Access
Forecasting Financial Commodities Using an Evolutionary Optimized Higher-Order Artificial Neural Network
Sudersan Behera, A. V. S. Pavan Kumar, Sarat Chandra Nayak
Lecture notes in networks and systems (2024), pp. 225-235
Closed Access
Predicting Stock Market Prices Using a Hybrid of High-Order Neural Networks and Barnacle Mating Optimization
Sudersan Behera, A. V. S. Pavan Kumar, Sarat Chandra Nayak
Lecture notes in networks and systems (2024), pp. 279-290
Closed Access
Financial Time Series Forecasting Using Hybrid Evolutionary Extreme Learning Machine
Sudersan Behera, G. Kadirvelu, P. Sambasiva Rao, et al.
Algorithms for intelligent systems (2024), pp. 93-103
Closed Access
An Innovative Method for Short-Term Forecasting of Blockchain Cryptocurrency Price
Yunfei Yang, Xiaomei Wang, Jiamei Xiong, et al.
Applied Mathematical Modelling (2024), pp. 115795-115795
Closed Access
Improved firefly based pi-sigma neural network for gold price prediction
Sudersan Behera, Ashish Kumar, Sarat Chandra Nayak
(2023), pp. 202-207
Closed Access
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