Nuttapat Jittratorn | Renewable Energy Technologies | Editorial Board Member Published on 20/03/202620/03/2026 by Research Scientist Mr. Nuttapat Jittratorn | Renewable Energy Technologies | Editorial Board Member National Cheng Kung University | Taiwan Mr. Nuttapat Jittratorn is a Ph.D. candidate at National Cheng Kung University specializing in energy forecasting, artificial intelligence, and image-based predictive modeling. His research focuses on advanced machine learning frameworks for wind and photovoltaic (PV) power forecasting, contributing to improved accuracy in short-term and ultra-short-term energy predictions. He has authored multiple peer-reviewed publications in high-impact journals, including Q1-ranked outlets, with growing citation impact. His work involves international collaborations and conference contributions (IEEE, IET), addressing challenges in renewable energy integration and smart grid management, thereby supporting sustainable energy systems and enhancing reliability in modern power networks. Citation Metrics (Scopus) 20 15 10 5 0 Citations 10 Documents 8 h-index 2 🟦 Citations 🟥 Documents đźź© h-index View Scopus Profile      View Google Scholar Profile Featured Publications A deterministic and probabilistic framework based on corrected wind speed to improve short-term wind power forecasting accuracy. – International Journal of Electrical Power & Energy Systems. (2025). Cited By: 7 A hybrid method for hour-ahead PV output forecast with historical data clustering. – In 2022 IET International Conference on Engineering Technologies and Applications (IET-ICETA). (2018). Cited By: 5 Very short-term wind power forecasting using a hybrid LSTM–Markov model based on corrected wind speed. – Renewable Energy and Power Quality Journal. (2023). Cited By: 2 Deterministic multi-energy load forecasting for integrated energy management system using a random search transformer network. – In Proceedings of the 2025 IEEE International Conference on Environment and Electrical Engineering and 2025 IEEE Industrial and Commercial Power Systems Europe (EEEIC/I&CPS Europe) (pp. 1–6). IEEE. (2025) Cited By: 1 Ultrashort-term PV power forecasting based on weather classification and dynamic cloud tracking. – In Proceedings of the 2025 IEEE Industry Applications Society Annual Meeting (IAS) (pp. 1–8). IEEE.. (2020). Cited By: 1
David Jukl | Economics | Top Researcher Award Published on 18/03/202620/03/2026 by Research Scientist Mr. David Jukl | Economics | Top Researcher Award University of Finance and Administration | Czech Republic Mr. David Jukl is an investment strategist and PhD researcher in Finance at University of Finance and Administration, specializing in algorithmic trading, FX markets, and quantitative finance. With over 18 years of industry experience, he integrates data-driven investment strategies with automated trading systems. His scholarly contributions include publications on feature selection in FX trading, mean-reversion strategies, and systematic reviews of algorithmic trading, with collaborations alongside Jan Lansky. Jukl’s work bridges academia and practice, advancing financial analytics and improving investment decision-making in global capital markets through robust, evidence-based methodologies. Citation Metrics (ORCID) 4 3 2 1 0 Citations 1 Documents 2 🟦 Citations 🟥 Documents View ORCID Profile Featured Publications Bias-corrected feature selection for short-horizon FX trading: Evidence from liquid currency pairs. –  Metrics. (2026). Cited By: 1 Systematic review on algorithmic trading. – Acta Informatica Pragensia. (2025).
Demet Ă–zocaklı | Economics | Research Excellence Award Published on 17/03/202617/03/2026 by Research Scientist Assist. Prof. Dr. Demet Ă–zocaklı | Economics | Research Excellence Award Gaziantep Ăśniversitesi | Turkey Assist. Prof. Dr. Demet Ă–zocaklı is an Assistant Professor at Gaziantep University, specializing in macroeconomics, labor economics, and sustainable development. Her research addresses critical issues such as female and youth employment, food security, financial crises, and the AI–energy–growth nexus, utilizing advanced econometric methods including VECM, ARDL, PCA, and FMOLS. She has produced over 2scholarly publications with 9citations, contributing to internationally recognized journals. Ă–zocaklı collaborates with leading researchers such as Ä°brahim Halil EkĹźi and William Ginn. Her work provides policy-relevant insights that support economic resilience, inclusive growth, and sustainable development at both national and global levels. Citation Metrics (Scopus) 20 15 10 5 0 Citations 9 Documents 2 h-index 1 🟦 Citations 🟥 Documents đźź© h-index View Scopus Profile      View Google Scholar Profile     View ResearchGate Profile Featured Publications Effect of grain corridor agreement on grain prices. – International Economic Journal. (2024). Cited By: 18 Some determinants of food insecurity (comparison of quantile regression method and fixed effect panel method). – Sosyoekonomi. (2018). Cited By: 12 TĂĽrkiye’de kadın istihdamının bazı belirleyicileri: FMOLS yöntemi ile bir analiz. – Avrasya Sosyal ve Ekonomi AraĹźtırmaları Dergisi. (2023). Cited By: 7 The relationship between foreign direct investment inflows of world, foreign direct investment inflows of Turkey and types of the special economic zone: Evidence from 1980–2019. – Iranian Journal of Finance. (2022). Cited By: 6 The effect of air quality and smoking prevalence on different categories of health expenditures: An empirical evidence from MENA countries. – Eurasian Journal of Social and Economic Research (EJSER). (2020). Cited By: 2
Assist. Prof. Dr. Demet Özocaklı is an Assistant Professor at Gaziantep University, specializing in macroeconomics, labor economics, and sustainable development. Her research addresses critical issues such as female and youth employment, food security, financial crises, and the AI–energy–growth nexus, utilizing advanced econometric methods including VECM, ARDL, PCA, and FMOLS. She has produced over 2scholarly publications with 9citations, contributing to internationally recognized journals. Özocaklı collaborates with leading researchers such as İbrahim Halil Ekşi and William Ginn. Her work provides policy-relevant insights that support economic resilience, inclusive growth, and sustainable development at both national and global levels.
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