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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:

FORECASTING GOLD PRICE CHANGES BY USING ADAPTIVE NETWORK FUZZY INFERENCE SYSTEM
Abdolreza Yazdani–Chamzini, Siamak Haji Yakhchali, Diana Volungevičienė, et al.
Journal of Business Economics and Management (2012) Vol. 13, Iss. 5, pp. 994-1010
Open Access | Times Cited: 59

Showing 1-25 of 59 citing articles:

Gold volatility prediction using a CNN-LSTM approach
Andrés Vidal, Werner Kristjanpoller
Expert Systems with Applications (2020) Vol. 157, pp. 113481-113481
Closed Access | Times Cited: 186
Gold price volatility: A forecasting approach using the Artificial Neural Network–GARCH model
Werner Kristjanpoller, Marcel C. Minutolo
Expert Systems with Applications (2015) Vol. 42, Iss. 20, pp. 7245-7251
Closed Access | Times Cited: 181
Forecasting gold price fluctuations using improved multilayer perceptron neural network and whale optimization algorithm
Zakaria Alameer, Mohamed Abd Elaziz, Ahmed A. Ewees, et al.
Resources Policy (2019) Vol. 61, pp. 250-260
Closed Access | Times Cited: 158
A hybrid deep learning approach by integrating LSTM-ANN networks with GARCH model for copper price volatility prediction
Yan Hu, Jian Ni, Wen Liu
Physica A Statistical Mechanics and its Applications (2020) Vol. 557, pp. 124907-124907
Closed Access | Times Cited: 108
Forecasting Copper Prices Using Hybrid Adaptive Neuro-Fuzzy Inference System and Genetic Algorithms
Zakaria Alameer, Mohamed Abd Elaziz, Ahmed A. Ewees, et al.
Natural Resources Research (2019) Vol. 28, Iss. 4, pp. 1385-1401
Closed Access | Times Cited: 82
Improving multilayer perceptron neural network using chaotic grasshopper optimization algorithm to forecast iron ore price volatility
Ahmed A. Ewees, Mohamed Abd Elaziz, Zakaria Alameer, et al.
Resources Policy (2019) Vol. 65, pp. 101555-101555
Closed Access | Times Cited: 81
Forecasting Bitcoin price direction with random forests: How important are interest rates, inflation, and market volatility?
Syed Abul Basher, Perry Sadorsky
Machine Learning with Applications (2022) Vol. 9, pp. 100355-100355
Open Access | Times Cited: 64
PROPOSING A NEW METHODOLOGY BASED ON FUZZY LOGIC FOR TUNNELLING RISK ASSESSMENT
Abdolreza Yazdani–Chamzini
Journal of Civil Engineering and Management (2014) Vol. 20, Iss. 1, pp. 82-94
Open Access | Times Cited: 79
Predicting Gold and Silver Price Direction Using Tree-Based Classifiers
Perry Sadorsky
Journal of risk and financial management (2021) Vol. 14, Iss. 5, pp. 198-198
Open Access | Times Cited: 46
Fuzzy Rule-Based Prediction of Gold Prices using News Affect
Petr Hájek, Josef Novotný
Expert Systems with Applications (2022) Vol. 193, pp. 116487-116487
Open Access | Times Cited: 36
A Comparative Assessment of Predicting Daily Solar Radiation Using Bat Neural Network (BNN), Generalized Regression Neural Network (GRNN), and Neuro-Fuzzy (NF) System: A Case Study
Mohammad Mehdi Lotfinejad, Reza Hafezi, Majid Khanali, et al.
Energies (2018) Vol. 11, Iss. 5, pp. 1188-1188
Open Access | Times Cited: 48
Developing a fuzzy model based on subtractive clustering for road header performance prediction
Abdolreza Yazdani–Chamzini, Mojtaba Razani, Siamak Haji Yakhchali, et al.
Automation in Construction (2013) Vol. 35, pp. 111-120
Closed Access | Times Cited: 49
COMPARATIVE STUDY ON RETAIL SALES FORECASTING BETWEEN SINGLE AND COMBINATION METHODS
Serkan Aras, İpek Deveci Kocakoç, Cigdem Polat
Journal of Business Economics and Management (2017) Vol. 18, Iss. 5, pp. 803-832
Open Access | Times Cited: 34
Neuro-fuzzy inference systems approach to decision support system for economic order quantity
Siniša Sremac, Edmundas Kazimieras Zavadskas, Bojan Matić, et al.
Economic Research-Ekonomska Istraživanja (2019) Vol. 32, Iss. 1, pp. 1114-1137
Open Access | Times Cited: 33
A survey of time series forecasting from stochastic method to soft computing
Putriaji Hendikawati, Subanar Subanar, Abdurakhman Abdurakhman, et al.
Journal of Physics Conference Series (2020) Vol. 1613, Iss. 1, pp. 012019-012019
Open Access | Times Cited: 29
Gold Price Forecasting Using LSTM, Bi-LSTM and GRU
Mustafa Yurtsever
European Journal of Science and Technology (2021)
Open Access | Times Cited: 18
The performance of hybrid ARIMA-GARCH modeling in forecasting gold price
Yaziz Siti Roslindar, Noor Azlinna Azizan, Roslinazairimah Zakaria, et al.
Piantadosi, J., Anderssen, R.S. and Boland J. (eds) MODSIM2013, 20th International Congress on Modelling and Simulation (2013)
Open Access | Times Cited: 20
A Model for Shovel Capital Cost Estimation, Using a Hybrid Model of Multivariate Regression and Neural Networks
Abdolreza Yazdani–Chamzini, Edmundas Kazimieras Zavadskas, Jurgita Antuchevičienė, et al.
Symmetry (2017) Vol. 9, Iss. 12, pp. 298-298
Open Access | Times Cited: 18
ANN, LSTM, and SVR for Gold Price Forecasting
Jiacheng Yang, Denis De Montigny, Philip Treleaven
(2022), pp. 1-7
Closed Access | Times Cited: 9
Big data forecasting using evolving multi-layer perceptron
Romi Fadillah Rahmat, Alvin Rizki, Adil Fahad Alharthi, et al.
(2016), pp. 1-5
Closed Access | Times Cited: 14
The implementation of two stages clustering (k-means clustering and adaptive neuro fuzzy inference system) for prediction of medicine need based on medical data
Amir Mahmud Husein, Mawaddah Harahap, Siti Aisyah, et al.
Journal of Physics Conference Series (2018) Vol. 978, pp. 012019-012019
Open Access | Times Cited: 14
Ensemble Genetic Fuzzy Neuro Model Applied for the Emergency Medical Service via Unbalanced Data Evaluation
Muammar Sadrawi, Wei-Zen Sun, Matthew Huei‐Ming, et al.
Symmetry (2018) Vol. 10, Iss. 3, pp. 71-71
Open Access | Times Cited: 14
GARCH modeling of five popular commodities
Saralees Nadarajah, Emmanuel Afuecheta, Stephen Chan
Empirical Economics (2014) Vol. 48, Iss. 4, pp. 1691-1712
Closed Access | Times Cited: 13
CRYPTOCURRENCY AND DIGITAL MONEY IN ISLAMIC LAW: Is it Legal?
Husnul Fatarib, Meirison Meirison
Jurisdictie Jurnal Hukum dan Syariah (2021) Vol. 11, Iss. 2, pp. 237-261
Open Access | Times Cited: 11
Gold Against the Machine
Vasilios Plakandaras, Periklis Gogas, Théophilos Papadimitriou
Computational Economics (2020) Vol. 57, Iss. 1, pp. 5-28
Closed Access | Times Cited: 11
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