Prof. Khabibjon Kushiev | Agricultural and Biological Sciences | Excellence in Research Published on 15/04/202615/04/2026 by Research Scientist After Completing the Registration Process, your Biography will be displayed here. Register by using your Entry ID: 8556 Register Here
Prof. Dr. Rami Ahmad El-Nabulsi | Physics and Astronomy | Top Researcher Award Published on 15/04/202615/04/2026 by Research Scientist After Completing the Registration Process, your Biography will be displayed here. Register by using your Entry ID: 8555 Register Here
Meziane Iftene | Artificial Neural Networks | Research Excellence Award Published on 02/04/202602/04/2026 by Research Scientist Dr. Meziane Iftene | Artificial Neural Networks | Research Excellence Award Agence Spatiale Algérienne | Algeria Dr. Meziane Iftene is a researcher at the Algerian Space Agency specializing in remote sensing, deep learning, and geospatial data fusion. He has authored and co-authored overpeer-reviewed publications in leading international conferences and journals. His work focuses on hyperspectral unmixing, very high-resolution image classification, and AI-driven environmental monitoring, including forest mapping and precision agriculture. He has led R&D initiatives, supervised nanosatellite projects, and contributed to national space system development such as the Alsat-3 program. Through international collaborations, his research advances GeoAI solutions for sustainable environmental management and intelligent Earth observation systems. Citation Metrics (Scopus) 40 30 20 10 0 Citations 23 Documents 15 h-index 3 🟦 Citations 🟥 Documents 🟩 h-index View Scopus Profile View ORCID Profile View Google Scholar Profile View ResearchGate Profile Featured Publications Partial NMF-based hyperspectral unmixing methods for linear mixing models addressing intra-class variability. – Digital Signal Processing, 143, 104264. (2023). Cited By: 7 Very high resolution images classification by fusing deep convolutional neural networks. – In Proceedings of the 5th International Conference on Advanced Computer Science and Technology (ACSAT 2017). (2017). Cited By: 6 Transfering super resolution convolutional neural network for remote sensing data sharpening. – In Proceedings of the 9th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS 2018). (2018). Cited By: 5 Hyperspectral unmixing with a partial nonnegative matrix factorization-based method for a structured additively-tuned linear mixing model addressing spectral variability. – Journal of Applied Remote Sensing, 16(3), 030502. (2022). Cited By: 3 End-to-end change detection in satellite remote sensing imagery. – In Proceedings of the IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2021) (pp. 4356–4359). (2021). Cited By; 3
Zhuming Cao | Engineering | Research Excellence Award Published on 31/03/202631/03/2026 by Research Scientist Mr. Zhuming Cao | Engineering | Research Excellence Award Xiamen Institute of Technology | China Mr. Zhuming Cao, affiliated with Xiamen Institute of Technology, China, is an accomplished researcher in mechanical engineering with expertise in intelligent manufacturing, CNC systems, and digital twin technologies. His recent publication in Machines (2026) highlights advanced predictive maintenance using innovation-adaptive sensor fusion and uncertainty-aware prognostics. With over 60 academic publications, multiple patents, and active leadership in funded research projects, his work significantly advances smart manufacturing and industrial digitalization. He has established strong industry collaborations, contributing to technology transfer and practical innovation. His research demonstrates measurable societal impact through enhanced manufacturing efficiency, workforce skill development, and the integration of academia with industry applications. View ORCID Profile Featured Publications Tool-health digital twin for CNC predictive maintenance via innovation-adaptive sensor fusion and uncertainty-aware prognostics. – Machines, 14(3). (2026).
Ardy Arsyad | Engineering | Research Excellence Award Published on 27/03/202627/03/2026 by Research Scientist Assoc. Prof. Dr. Ardy Arsyad | Engineering | Research Excellence Award Universitas Hasanuddin | Indonesia Assoc. Prof. Dr. Ardy Arsyad is an Associate Professor at Hasanuddin University, Indonesia, with expertise in geotechnical earthquake engineering, soil stabilization, and landslide hazard assessment. He has authored numerous Web of Science and Scopus-indexed publications, contributing over 221 citations with an h-index of 7. His research spans liquefaction analysis, sustainable road materials, and advanced modeling of geohazards, including landmark studies on the 2018 Sulawesi earthquake. He collaborates internationally with scholars such as Yasuhiro Mitani. His work supports resilient infrastructure development, environmental sustainability, and disaster risk reduction, delivering significant societal impact in hazard-prone regions. Citation Metrics (Scopus) 400 300 200 100 0 Citations 221 Documents 58 h-index 7 🟦 Citations 🟥 Documents 🟩 h-index View Scopus Profile View ORCID Profile View Google Scholar Profile Featured Publications Large distance flow-slide at Jono-Oge due to the 2018 Sulawesi Earthquake, Indonesia. – Soils and Foundations, 61(1), 239–255. (2021). Cited By: 65 Large-scale flowslide in Sibalaya caused by the 2018 Sulawesi earthquake. – Soils and Foundations, 60(4), 1050–1063. (2020). Cited By: 52 Fitoremediasi tanah tercemar logam berat Pb dan Cd dengan menggunakan tanaman lidah mertua (Sansevieria trifasciata). – Jurnal Teknik Lingkungan, 3, 62–69. (2014). Cited By: 22 Bioremediation of coal contaminated soil as the road foundations layer. – International Journal of GEOMATE, 21(84), 76–84. (2021). Cited By: 21 Landslide susceptibility mapping along road corridors in west Sulawesi using GIS-AHP models. – IOP Conference Series: Earth and Environmental Science, 419(1), 012080. (2020). Cited By; 18
Bahar Çiftçi | Nursing and Health Professions | Best Researcher Award Published on 25/03/202625/03/2026 by Research Scientist Prof. Bahar Çiftçi | Nursing and Health Professions | Best Researcher Award Atatürk University | Turkey Prof. Bahar Çiftçi is an Associate Professor at Atatürk University specializing in nursing science, with a focus on mental health, chronic disease management, and psychometric scale development. She has authored over 45 peer-reviewed publications, accumulating more than 242 citations, reflecting strong scholarly impact. Her research, published in leading journals such as BMC Nursing and World Journal of Psychiatry, emphasizes interdisciplinary collaboration and rigorous methodologies. Her contributions advance patient-centered care, nursing education, and holistic health practices, significantly improving healthcare quality, patient outcomes, and evidence-based clinical practice globally. Citation Metrics (Scopus) 400 300 200 100 0 Citations 242 Documents 45 h-index 11 🟦 Citations 🟥 Documents 🟩 h-index View Scopus Profile View ORCID Profile View Google Scholar Profile Featured Publications Effect of social support on the treatment adherence of hypertension patients. – Journal of Vascular Nursing, 37(1), 46–51. (2019). Cited By: 79 Analysis of anxiety levels and attitudes of nursing students toward the nursing profession during the COVID‐19 pandemic. – Perspectives in Psychiatric Care, 57(4), 1913–1921. (2021). Cited By: 58 Comparison of the effect of reinforcement with question-answer and Kahoot method on the success and motivation levels of nursing students: A quasi-experimental review. – Nurse Education Today, 102, 104930. (2021). Cited By: 55 What level of self-care agency in mental illness? The factors affecting self-care agency and self-care agency in patients with mental illness. – Archives of Psychiatric Nursing, 29(6), 372–376. (2015). Cited By: 50 Examining the correlation between intercultural sensitivity and individualized care perception of nursing students. – Nurse Education Today, 102, 104937. (2021). Cited By; 30
Zuncheng Zheng | Health Professions | Innovative Research Award Published on 23/03/202623/03/2026 by Research Scientist Mr. Zuncheng Zheng | Health Professions | Innovative Research Award Affiliated Tai’an Central Hospital of Qingdao University | China Zuncheng Zheng is a Chief Physician and Director of the Rehabilitation Medicine Center at Tai’an Central Hospital, affiliated with Qingdao University, China. With over 30 years of clinical and research experience, he specializes in neural repair, spinal cord injury rehabilitation, and orthopedic recovery. He has published 43 Scopus-indexed papers with 429 citations (h-index: 13) and holds 6 patents in medical devices and therapeutic innovations. A pioneer in olfactory ensheathing cell transplantation, his work bridges translational neuroscience and clinical rehabilitation. He collaborates with leading organizations such as the Chinese Medical Association and International Neural Restoration Society, contributing significantly to advancing neurorehabilitation and improving patient outcomes globally. Citation Metrics (Scopus) 800 600 400 200 0 Citations 429 Documents 43 h-index 13 🟦 Citations 🟥 Documents 🟩 h-index View Scopus Profile Featured Publications Network pharmacology analysis of energy metabolism-related genes in ischemic stroke targeted by Herba Siegesbeckiae. – Journal of Neurorestoratology. (2026). Efficacy and safety of electroacupuncture for post-stroke depression: A systematic review and meta-analysis. – A systematic review and meta-analysis. (2026). A novel hypothesis on the pathogenesis of knee osteoarthritis: The muscle weakness–joint instability and stress overload–uneven bone settlement cascade. – Medical Hypotheses, 185, 111821. (2025). Asymmetric mechanical stress on both sides of the spine—Based on human functional chiral asymmetry—May constitute the underlying pathomechanism of adolescent idiopathic scoliosis (AIS). – Medical Hypotheses, 185, 111820. (2025). Research progress of the effective active ingredients of Astragalus mongholicus in the treatment of diabetic peripheral neuropathy. – Biomedicine & Pharmacotherapy, 173, 116350. (2024).
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 🟩 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 Özocaklı | Economics | Research Excellence Award Published on 17/03/202617/03/2026 by Research Scientist Assist. Prof. Dr. Demet Özocaklı | Economics | Research Excellence Award Gaziantep Üniversitesi | Turkey 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. Citation Metrics (Scopus) 20 15 10 5 0 Citations 9 Documents 2 h-index 1 🟦 Citations 🟥 Documents 🟩 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 Türkiye’de kadın istihdamının bazı belirleyicileri: FMOLS yöntemi ile bir analiz. – Avrasya Sosyal ve Ekonomi Araştırmaları 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.