| Text mining in big data analytics H Hassani, C Beneki, S Unger, MT Mazinani, MR Yeganegi Big Data and Cognitive Computing 4 (1), 1, 2020 | 328 | 2020 |
| Selecting optimal lag order in Ljung–Box test H Hassani, MR Yeganegi Physica A: Statistical Mechanics and its Applications 541, 123700, 2020 | 80 | 2020 |
| Big data and energy poverty alleviation H Hassani, MR Yeganegi, C Beneki, S Unger, M Moradghaffari Big Data and Cognitive Computing 3 (4), 50, 2019 | 39 | 2019 |
| Sum of squared ACF and the Ljung–Box statistics H Hassani, MR Yeganegi Physica A: Statistical Mechanics and its Applications 520, 81-86, 2019 | 37 | 2019 |
| On the application of data mining to official data H Hassani, S Gheitanchi, MR Yeganegi | 23 | 2008 |
| The effect of data transformation on singular spectrum analysis for forecasting H Hassani, MR Yeganegi, A Khan, ES Silva Signals 1 (1), 4-25, 2020 | 19 | 2020 |
| Does inequality really matter in forecasting real housing returns of the United Kingdom? H Hassani, MR Yeganegi, R Gupta International Economics 159, 18-25, 2019 | 8 | 2019 |
| A new signal processing approach for discrimination of EEG recordings H Hassani, MR Yeganegi, ES Silva Stats 1 (1), 155-168, 2018 | 8 | 2018 |
| Forecasting interest rate volatility of the United Kingdom: evidence from over 150 years of data H Hassani, MR Yeganegi, J Cuñado, R Gupta Journal of Applied Statistics 47 (6), 1128-1143, 2020 | 7 | 2020 |
| The Analysis of Sustainable Supply Chain Risks Based on the FMEA Method in the Oil and Gas industry and Factors Affecting Risk Management AR Keyghobadi, A Ebadi, MR Yeganegi, MR Motadel Petroleum Business Review 4 (1), 95-116, 2020 | 7 | 2020 |
| Risk management, signal processing and econometrics: A new tool for forecasting the risk of disease outbreaks H Hassani, MR Yeganegi, ES Silva, F Ghodsi Journal of theoretical biology 467, 57-62, 2019 | 7 | 2019 |
| A support vector machine based approach for predicting the risk of freshwater disease emergence in england H Hassani, ES Silva, M Combe, D Andreou, M Ghodsi, MR Yeganegi, ... Stats 2 (1), 89-103, 2019 | 6 | 2019 |
| Social Intelligence Mining: Unlocking Insights from X H Hassani, N Komendantova, E Rovenskaya, MR Yeganegi Machine Learning and Knowledge Extraction 5 (4), 1921-1936, 2023 | 5 | 2023 |
| On the Sample Autocorrelation Function’s Absolute Summability H Hassani, MR Yeganegi, SZ Mehreyan, A Sayyareh Fluctuation and Noise Letters 21 (1), 2250004, 2022 | 5 | 2022 |
| Big Data and Energy Security: Impacts on Private Companies, National Economies and Societies H Hassani, N Komendantova, D Kroos, S Unger, MR Yeganegi IoT 3 (1), 29-59, 2021 | 4 | 2021 |
| Social Trend Mining: Lead or Lag H Hassani, N Komendantova, E Rovenskaya, MR Yeganegi Big Data and Cognitive Computing 7 (4), 171, 2023 | 3 | 2023 |
| The ENSO cycle and forecastability of global inflation and output growth: Evidence from standard and mixed-frequency multivariate singular spectrum analyses MR Yeganegi, H Hossein, R Gupta Journal of Forecasting, 2023 | 3 | 2023 |
| Forecasting stock market (realized) volatility in the United Kingdom: Is there a role of inequality? H Hassani, MR Yeganegi, R Gupta, R Demirer International Journal of Finance & Economics 27 (2), 2146-2152, 2022 | 3* | 2022 |
| Exploring the Depths of the Autocorrelation Function: Its Departure from Normality H Hassani, M Royer-Carenzi, LM Mashhad, M Yarmohammadi, ... Information 15 (8), 449, 2024 | 2 | 2024 |
| Unraveling Time Series Dynamics: Evaluating Partial Autocorrelation Function Distribution and Its Implications H Hassani, L Marvian, M Yarmohammadi, MR Yeganegi Mathematical and Computational Applications 29 (4), 58, 2024 | 2 | 2024 |
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