Dezhen Li | Supply Chain Management, Circular Economy, Digital Platforms | Research Excellence Award

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Dr. Dezhen Li | Supply Chain Management, Circular Economy, Digital Platforms | Research Excellence Award

Shandong Technology and Business University | China

Dr. Dezhen Li is an emerging researcher contributing to the fields of digital transformation, financial analytics, and environmental sustainability, with a focused portfolio of high-quality scholarly work. With 2 indexed documents, 29 citations, and an h-index of 1, the research profile demonstrates a strong early impact, particularly through publications in SSCI and SCI-ranked journals. Key contributions include studies on digital platform design for circular supply chains, foreign exchange forecasting using advanced feature selection techniques, and the role of institutional quality in environmental sustainability. Additional work spans cross-border e-commerce, international trade, and economic modeling, reflecting interdisciplinary expertise. The research emphasizes data-driven methodologies, knowledge sharing mechanisms, and collaborative innovation systems. Despite a concise publication count, the citation performance highlights growing academic recognition and influence, positioning the work at the intersection of digital economy, sustainability, and global trade dynamics.

Citation Metrics (Scopus)

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Shah Mehmood Wagan | Digital Transformation and Artificial Intelligence | Research Excellence Award

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Dr. Shah Mehmood Wagan | Digital Transformation and Artificial Intelligence | Research Excellence Award

Sichuan University | China

Dr. Shah Mehmood Wagan is an emerging researcher with a growing scholarly footprint in the fields of artificial intelligence, innovation management, and sustainability. With a total of 13 published documents and 2 citations, his research demonstrates a developing impact across interdisciplinary domains. His work primarily focuses on the application of explainable artificial intelligence (XAI) to enhance transparency, decision-making, and performance in sectors such as project management, agriculture, and environmental systems. He has contributed to advancing knowledge on AI-driven green innovation, firm productivity, and financial performance, often employing robust econometric and analytical approaches such as GMM estimation. Despite an early-stage h-index of 1, his publications in reputable journals reflect strong research potential and relevance to contemporary challenges. His research trajectory highlights a commitment to integrating AI methodologies with sustainability and innovation to address complex real-world problems.

Citation Metrics (Scopus)

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Chala Merera Erge | Biological Networks | Research Excellence Award

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Assoc. Prof. Dr. Chala Merera Erge | Biological Networks | Research Excellence Award

Ambo University | Ethiopia

Assoc. Prof. Dr. Chala Merera Erge is a researcher in animal science and agricultural nutrition, with 3 publications, 5 citations, and an h-index of 1. His work focuses on livestock nutrition, particularly the effects of environmental and dietary factors on animal health and productivity. His research examines critical aspects such as salinity in drinking water, protein supplementation, feed intake, digestion, energy metabolism, and mineral balance in meat goats. Through experimental and analytical approaches, he contributes to improving livestock management practices under challenging environmental conditions. His findings provide valuable insights for enhancing animal performance, optimizing feed efficiency, and supporting sustainable agricultural systems, particularly in regions affected by water quality constraints and resource limitations.

Citation Metrics (Scopus)

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Francis Deng Clement | Architecture and Urban Planning | Research Excellence Award

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Dr. Francis Deng Clement | Architecture and Urban Planning | Research Excellence Award

Nantong University | China

Dr. Francis Deng Clement is an emerging researcher in urban systems, sustainable architecture, and computational modeling, with a growing academic footprint reflected in 5 publications, 2 citations, and an h-index of 1. His research focuses on integrating data-driven approaches and agent-based modeling to address challenges in urban mobility, infrastructure design, and environmental sustainability. His work explores topics such as age-inclusive shared mobility, urban heat island mitigation through sustainable roofing technologies, and structural performance in architectural engineering. Additionally, he contributes to theoretical discourse by examining the relationship between urban design theory and practice. Through interdisciplinary methodologies, his research advances innovative solutions for resilient, efficient, and inclusive urban environments.

Citation Metrics (Scopus)

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Rami Ahmad El-Nabulsi | Neurocpmputing , Quantum Neural Networks and AI | Network Innovator Excellence Award

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Prof. Dr. Rami Ahmad El-Nabulsi | Neurocpmputing , Quantum Neural Networks and AI | Network Innovator Excellence Award

CESNET | Czech Republic

Prof. Dr. Rami Ahmad El-Nabulsi is a highly prolific researcher with significant contributions across theoretical physics, applied mathematics, quantitative finance, and complex systems. His work spans advanced topics such as fractional calculus, quantum mechanics, Hamiltonian dynamics, fractal systems, and financial modeling, often integrating interdisciplinary approaches to address complex scientific problems. He has published extensively in high-impact journals, contributing to areas including quantum information, cosmology, and nonlinear dynamics. With an impressive h-index of 36, 286 documents, and 5,047 citations, his research demonstrates strong global impact and scholarly influence. His recent studies explore generalized Schrödinger equations, fractal Laplacian models, chaotic orbital dynamics, and financial systems in fractal dimensions, reflecting his continued innovation and leadership in cutting-edge scientific research.

Citation Metrics (Scopus)

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5,047

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Yong Zhu | Policy Entity Network Analysis | Research Excellence Award

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Dr. Yong Zhu | Policy Entity Network Analysis | Research Excellence Award

University of Melbourne | Australia

Dr. Yong Zhu is an emerging researcher specializing in data science, policy analysis, and computational social science, with a focus on topic modeling and intelligent data-driven decision-making. His work integrates advanced natural language processing techniques, including fine-tuned RoBERTa models, to analyze science, technology, and environmental policies. He has contributed to both conference and journal publications, including research on policy evolution and governance networks. Additionally, he has developed a topic modeling data analysis and visualization platform that supports automated analytics and visual insights. His contributions also extend to multiple academic book chapters on think tank research and evaluation. With an h-index of 1, 2 documents, and 1 citation, his profile reflects early-stage yet promising contributions to data-driven policy research and analytical systems development.

Citation Metrics (Scopus)

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El khansa Lameche | Decision Support Tools, Adaptation to Climate Change | Outstanding Research Achievement Award

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Dr. El khansa Lameche | Decision Support Tools, Adaptation to Climate Change | Outstanding Research Achievement Award

Laarbi Ben M'hidi University | Algeria

Dr. El Khansa Lameche is a researcher specializing in urban hydrology, flood risk assessment, and climate-adaptive drainage systems, with a focus on modeling and mitigating flood hazards in arid and semi-arid regions. Her work emphasizes numerical modeling of urban drainage networks, rainfall analysis, and the impacts of climate change on flood intensity and frequency. She has contributed to studies on flood mitigation strategies and hydraulic performance in cities such as Algiers, with publications in journals like Water Science & Technology and Urban Climate. Her research integrates data-driven modeling and environmental analysis to improve urban resilience. With an h-index of 2, 40 citations, and multiple scholarly documents, her profile reflects emerging contributions to water resource management and sustainable urban infrastructure development.

Citation Metrics (Google Scholar)

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Hanne Peoples | Ageing and Dementia | Research Excellence Award

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Assoc. Prof. Dr. Hanne Peoples | Ageing and Dementia | Research Excellence Award

UCL University College | Denmark

Assoc. Prof. Dr. Hanne Peoples is a distinguished researcher in ageing, dementia studies, and occupational science, with a strong focus on social inclusion, community engagement, and health in later life. Her work explores how social networks and environments influence wellbeing, particularly in rural and vulnerable populations. Notable contributions include research on healthy ageing in rural Denmark and socio-material connectivity for people with dementia, published in leading journals such as Journal of Rural Studies and Memory Studies. She has also contributed extensively to academic books and conferences in ergotherapy and dementia care. With an h-index of 11, 18 documents, and 361 citations, her research demonstrates significant academic impact and interdisciplinary relevance in advancing inclusive and evidence-based healthcare practices.

Citation Metrics (Scopus)

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361

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18

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Featured Publications

Hanbing Hao | Graph Data Structures and Algorithms | Young Researcher Award

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Mr. Hanbing Hao | Graph Data Structures and Algorithms | Young Researcher Award

Anhui University | China

Mr. Hanbing Hao is an emerging researcher contributing to advanced methodologies in graph-based learning and computational intelligence, with a focus on integrating deep learning and network representations for complex data analysis. His recent work, GICLMorph: Self-supervised 3D neuronal morphology representation via graph-image contrastive learning, published in Expert Systems with Applications, highlights innovative approaches that combine graph structures and image-based features to enhance representation learning in neuroscience applications. His research reflects strong engagement with interdisciplinary domains, particularly in machine learning, graph analytics, and biomedical data modeling.  His contributions demonstrate a commitment to advancing intelligent systems through novel, data-driven frameworks and scalable analytical techniques.

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Ameeque | Social Sciences | Research Excellence Award

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Mr. Ameeque | Social Sciences | Research Excellence Award

HSE University | Pakistan

Mr. Ameeque is an emerging researcher in educational analytics and public policy, with a growing academic profile reflected through contributions to interdisciplinary research. With published work including studies on creative thinking, mathematics achievement, and student well-being, his research applies advanced statistical techniques such as multilevel modeling on large-scale datasets like PISA 2022 to uncover key drivers of educational outcomes, highlighting the central role of self-efficacy. He has also explored economic development through public procurement systems, employing robust econometric methods, including Instrumental Variable (IV) strategies, to analyze complex U.S. government datasets. His research demonstrates a strong focus on data-driven decision-making, policy evaluation, and societal impact. Although currently at an early stage, his scholarly record includes 2 documents and an evolving citation base, with an h-index in development, reflecting promising potential for future academic influence and contribution.

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