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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:

On the development and performance evaluation of a multiobjective GA-based RBF adaptive model for the prediction of stock indices
Babita Majhi, Minakhi Rout, Vikas Baghel
Journal of King Saud University - Computer and Information Sciences (2013) Vol. 26, Iss. 3, pp. 319-331
Open Access | Times Cited: 34

Showing 1-25 of 34 citing articles:

New efficient hybrid candlestick technical analysis model for stock market timing on the basis of the Support Vector Machine and Heuristic Algorithms of Imperialist Competition and Genetic
Elham Ahmadi, Milad Jasemi, Leslie Monplaisir, et al.
Expert Systems with Applications (2017) Vol. 94, pp. 21-31
Closed Access | Times Cited: 112
Support vector regression with modified firefly algorithm for stock price forecasting
Jun Zhang, Yu-Fan Teng, Wei Chen
Applied Intelligence (2018) Vol. 49, Iss. 5, pp. 1658-1674
Closed Access | Times Cited: 84
Convolutional neural network for stock trading using technical indicators
S. Kumar Chandar
Automated Software Engineering (2022) Vol. 29, Iss. 1
Closed Access | Times Cited: 38
Grey Wolf optimization-Elman neural network model for stock price prediction
S. Kumar Chandar
Soft Computing (2020) Vol. 25, Iss. 1, pp. 649-658
Closed Access | Times Cited: 68
Data-Driven Modeling Using Improved Multi-Objective Optimization Based Neural Network for Coke Furnace System
Ridong Zhang, Jili Tao
IEEE Transactions on Industrial Electronics (2016) Vol. 64, Iss. 4, pp. 3147-3155
Closed Access | Times Cited: 67
Stock market prediction using Firefly algorithm with evolutionary framework optimized feature reduction for OSELM method
Smruti Rekha Das, Debahuti Mishra, Minakhi Rout
Expert Systems with Applications X (2019) Vol. 4, pp. 100016-100016
Open Access | Times Cited: 65
Integration of genetic algorithm with artificial neural network for stock market forecasting
Dinesh K. Sharma, H. S. Hota, Kate Brown, et al.
International Journal of Systems Assurance Engineering and Management (2021) Vol. 13, Iss. S2, pp. 828-841
Open Access | Times Cited: 51
A Comprehensive Survey on Higher Order Neural Networks and Evolutionary Optimization Learning Algorithms in Financial Time Series Forecasting
Sudersan Behera, Sarat Chandra Nayak, A. V. S. Pavan Kumar
Archives of Computational Methods in Engineering (2023) Vol. 30, Iss. 7, pp. 4401-4448
Closed Access | Times Cited: 18
A hybridized ELM-Jaya forecasting model for currency exchange prediction
Smruti Rekha Das, Debahuti Mishra, Minakhi Rout
Journal of King Saud University - Computer and Information Sciences (2017) Vol. 32, Iss. 3, pp. 345-366
Open Access | Times Cited: 54
Develop an integrated candlestick technical analysis model using meta-heuristic algorithms
Armin Mahmoodi, Leila Hashemi, Milad Jasemi
EuroMed Journal of Business (2023) Vol. 19, Iss. 4, pp. 1231-1270
Closed Access | Times Cited: 11
A novel hybrid model based on recurrent neural networks for stock market timing
Yue Qiu, Haoyu Yang, Shan Lu, et al.
Soft Computing (2020) Vol. 24, Iss. 20, pp. 15273-15290
Closed Access | Times Cited: 29
A novel approach for candlestick technical analysis using a combination of the support vector machine and particle swarm optimization
Armin Mahmoodi, Leila Hashemi, Milad Jasemi, et al.
Asian Journal of Economics and Banking (2022) Vol. 7, Iss. 1, pp. 2-24
Open Access | Times Cited: 15
A hybridized ELM using self-adaptive multi-population-based Jaya algorithm for currency exchange prediction: an empirical assessment
Smruti Rekha Das, Debahuti Mishra, Minakhi Rout
Neural Computing and Applications (2018) Vol. 31, Iss. 11, pp. 7071-7094
Closed Access | Times Cited: 27
An optimized feature reduction based currency forecasting model exploring the online sequential extreme learning machine and krill herd strategies
Smruti Rekha Das, Kuhoo, Debahuti Mishra, et al.
Physica A Statistical Mechanics and its Applications (2018) Vol. 513, pp. 339-370
Closed Access | Times Cited: 24
A comparison on particle swarm optimization and genetic algorithm performances in deriving the efficient frontier of stocks portfolios based on a mean‐lower partial moment model
Armin Mahmoudi, Leila Hashemi, Milad Jasemi, et al.
International Journal of Finance & Economics (2020) Vol. 26, Iss. 4, pp. 5659-5665
Closed Access | Times Cited: 21
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
Application of RBF neural network improved by peak density function in intelligent color matching of wood dyeing
Xuemei Guan, Yuren Zhu, Wenlong Song
Chaos Solitons & Fractals (2016) Vol. 89, pp. 485-490
Closed Access | Times Cited: 21
Time Series Prediction Using Radial Basis Function Neural Network
Haviluddin Haviluddin, Imam Tahyudin
International Journal of Electrical and Computer Engineering (IJECE) (2015) Vol. 5, Iss. 4, pp. 765-765
Open Access | Times Cited: 18
Performance Forecasting of Share Market using Machine Learning Techniques: A Review
Sachin Kamley, Shailesh Jaloree, Rini Smita Thakur
International Journal of Electrical and Computer Engineering (IJECE) (2016) Vol. 6, Iss. 6, pp. 3196-3196
Open Access | Times Cited: 14
Forecasting US stock price using hybrid of wavelet transforms and adaptive neuro fuzzy inference system
Dinesh K. Sharma, H. S. Hota, Aaron Rasheed Rababaah
International Journal of Systems Assurance Engineering and Management (2021) Vol. 15, Iss. 2, pp. 591-608
Closed Access | Times Cited: 11
Comparing performance of Backpropagation and RBF neural network models for predicting daily network traffic
Purnawansyah Purnawansyah, Haviluddin Haviluddin
(2014), pp. 166-169
Closed Access | Times Cited: 11
Prediksi Kedatangan Turis Asing ke Indonesia Menggunakan Backpropagation Neural Networks
Haviluddin Haviluddin, Zainal Arifin, Awang Harsa Kridalaksana, et al.
Jurnal Teknologi dan Sistem Komputer (2016) Vol. 4, Iss. 4, pp. 485-485
Open Access | Times Cited: 10
Data Driven Modeling Using an Optimal Principle Component Analysis Based Neural Network and Its Application to a Nonlinear Coke Furnace
Ridong Zhang, Qiang Lv, Jili Tao, et al.
Industrial & Engineering Chemistry Research (2018) Vol. 57, Iss. 18, pp. 6344-6352
Closed Access | Times Cited: 10
Artificial Neural Networks and Gene Expression Programing based age estimation using facial features
Baddrud Zaman Laskar, Ashutosh, Swanirbhar Majumder
Journal of King Saud University - Computer and Information Sciences (2015) Vol. 27, Iss. 4, pp. 458-467
Open Access | Times Cited: 9
Importance of Data Standardization Methods on Stock Indices Prediction Accuracy
Binita Kumari, Tripti Swarnkar
Advances in intelligent systems and computing (2020), pp. 309-318
Closed Access | Times Cited: 7
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