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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:

Soft computing hybrids for FOREX rate prediction: A comprehensive review
Dadabada Pradeepkumar, Vadlamani Ravi
Computers & Operations Research (2018) Vol. 99, pp. 262-284
Closed Access | Times Cited: 89

Showing 1-25 of 89 citing articles:

Financial time series forecasting with deep learning : A systematic literature review: 2005–2019
Ömer Berat Sezer, Mehmet Ugur Gudelek, Ahmet Murat Özbayoğlu
Applied Soft Computing (2020) Vol. 90, pp. 106181-106181
Open Access | Times Cited: 912
Hybrid structures in time series modeling and forecasting: A review
Zahra Hajirahimi, Mehdi Khashei
Engineering Applications of Artificial Intelligence (2019) Vol. 86, pp. 83-106
Closed Access | Times Cited: 184
AI in Finance: Challenges, Techniques, and Opportunities
Longbing Cao
ACM Computing Surveys (2022) Vol. 55, Iss. 3, pp. 1-38
Closed Access | Times Cited: 156
Data Science in Economics: Comprehensive Review of Advanced Machine Learning and Deep Learning Methods
Saeed Nosratabadi, Amirhosein Mosavi, Puhong Duan, et al.
Mathematics (2020) Vol. 8, Iss. 10, pp. 1799-1799
Open Access | Times Cited: 118
Foreign exchange currency rate prediction using a GRU-LSTM hybrid network
Md. Saiful Islam, Emam Hossain
Soft Computing Letters (2020) Vol. 3, pp. 100009-100009
Open Access | Times Cited: 100
Monitoring Soil and Ambient Parameters in the IoT Precision Agriculture Scenario: An Original Modeling Approach Dedicated to Low-Cost Soil Water Content Sensors
P. Placidi, Renato Morbidelli, Diego Fortunati, et al.
Sensors (2021) Vol. 21, Iss. 15, pp. 5110-5110
Open Access | Times Cited: 92
A Hybrid System Based on Dynamic Selection for Time Series Forecasting
João Fausto Lorenzato de Oliveira, Eraylson G. Silva, Paulo S. G. de Mattos Neto
IEEE Transactions on Neural Networks and Learning Systems (2021) Vol. 33, Iss. 8, pp. 3251-3263
Closed Access | Times Cited: 66
Hybridization of hybrid structures for time series forecasting: a review
Zahra Hajirahimi, Mehdi Khashei
Artificial Intelligence Review (2022) Vol. 56, Iss. 2, pp. 1201-1261
Closed Access | Times Cited: 65
A convolutional neural network based approach to financial time series prediction
M. Durairaj, B. H. Krishna Mohan
Neural Computing and Applications (2022) Vol. 34, Iss. 16, pp. 13319-13337
Open Access | Times Cited: 63
Neural Networks for Financial Time Series Forecasting
Kady Sako, Berthine Nyunga Mpinda, Paulo Canas Rodrigues
Entropy (2022) Vol. 24, Iss. 5, pp. 657-657
Open Access | Times Cited: 38
AI in Finance: A Review
Longbing Cao
SSRN Electronic Journal (2020)
Closed Access | Times Cited: 60
A Systematic Review of Hyper-Heuristics on Combinatorial Optimization Problems
Melissa Sanchez, Jorge M. Cruz‐Duarte, José Carlos Ortíz-Bayliss, et al.
IEEE Access (2020) Vol. 8, pp. 128068-128095
Open Access | Times Cited: 59
Predicting Volatility Index According to Technical Index and Economic Indicators on the Basis of Deep Learning Algorithm
Sara Mehrab Daniali, Sergey Barykin, Irina Kapustina, et al.
Sustainability (2021) Vol. 13, Iss. 24, pp. 14011-14011
Open Access | Times Cited: 47
Equalizing Seasonal Time Series Using Artificial Neural Networks in Predicting the Euro–Yuan Exchange Rate
Marek Vochоzka, Jakub Horák, Petr Šuleř
Journal of risk and financial management (2019) Vol. 12, Iss. 2, pp. 76-76
Open Access | Times Cited: 46
Combined ensemble multi-class SVM and fuzzy NSGA-II for trend forecasting and trading in Forex markets
Alireza Sadeghi, Amir Daneshvar, Mahdi Madanchi Zaj
Expert Systems with Applications (2021) Vol. 185, pp. 115566-115566
Closed Access | Times Cited: 33
A Recurrent Neural Network and a Discrete Wavelet Transform to Predict the Saudi Stock Price Trends
Mutasem Jarrah, Naomie Salim
International Journal of Advanced Computer Science and Applications (2019) Vol. 10, Iss. 4
Open Access | Times Cited: 40
The Use of Artificial Neural Networks to Predict the Physicochemical Characteristics of Water Quality in Three District Municipalities, Eastern Cape Province, South Africa
Koketso J. Setshedi, Nhamo Mutingwende, Nosiphiwe P. Ngqwala
International Journal of Environmental Research and Public Health (2021) Vol. 18, Iss. 10, pp. 5248-5248
Open Access | Times Cited: 31
FOREX rate prediction improved by Elliott waves patterns based on neural networks
Robert Jarušek, Eva Volná, Martin Kotyrba
Neural Networks (2021) Vol. 145, pp. 342-355
Closed Access | Times Cited: 27
GA-MSSR: Genetic Algorithm Maximizing Sharpe and Sterling Ratio Method for RoboTrading
Zezheng Zhang, Matloob Khushi
2022 International Joint Conference on Neural Networks (IJCNN) (2020), pp. 1-8
Open Access | Times Cited: 28
Forecasting exchange rates with the iMLP: New empirical insight on one multi-layer perceptron for interval time series (ITS)
Carlos Maté, Lucía Jimeńez
Engineering Applications of Artificial Intelligence (2021) Vol. 104, pp. 104358-104358
Closed Access | Times Cited: 24
ATM cash demand forecasting in an Indian bank with chaos and hybrid deep learning networks
Vangala Sarveswararao, Vadlamani Ravi, Yelleti Vivek
Expert Systems with Applications (2022) Vol. 211, pp. 118645-118645
Open Access | Times Cited: 15
Data science in economics: comprehensive review of advanced machine learning and deep learning methods
Saeed Nosratabadi, Amir Mosavi, Puhong Duan, et al.
(2020)
Open Access | Times Cited: 22
Data selection to avoid overfitting for foreign exchange intraday trading with machine learning
Yuan-Long Peng, Wei‐Po Lee
Applied Soft Computing (2021) Vol. 108, pp. 107461-107461
Closed Access | Times Cited: 19
An intelligent traffic congestion detection approach based on fuzzy inference system
Mehran Amini, Miklós F. Hatwágner, Gergely Cs. Mikulai, et al.
(2021), pp. 97-104
Closed Access | Times Cited: 19
Data Science in Economics
Saeed Nosratabadi, Amir Mosavi, Puhong Duan, et al.
Research Square (Research Square) (2020)
Open Access | Times Cited: 17
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