Jihao Fan | Quantum Computing | Editorial Board Member

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Global Scientist Day Awards

 Jihao Fan

Nanjing University of Science and Technology

 Jihao Fan
Affiliation Nanjing University of Science and Technology
Country China
Scopus ID 56338158800
Documents 34
Citations 188
h-index 6
Subject Area Quantum Computing
Event Global Scientist Day Awards

Global Scientist Day Awards is the event identified for this academic profile of Jihao Fan, a researcher affiliated with Nanjing University of Science and Technology in China. The stated subject area is quantum computing. The supplied bibliometric information lists 34 documents, 188 citations, and an h-index of 6. These indicators provide a quantitative overview of reported research activity and citation performance but do not independently establish research quality, originality, or award status. Publication records, individual contributions, and eligibility should be assessed using verifiable sources and documented evaluation criteria. [1] [2]

Abstract

This article presents an academic profile of Jihao Fan, affiliated with Nanjing University of Science and Technology in China, whose identified subject area is quantum computing. The supplied bibliometric record lists 34 documents, 188 citations, and an h-index of 6. These indicators describe aspects of publication activity and scholarly attention but do not independently measure methodological quality, originality, or societal benefit. [1] [2]

Keywords

Jihao Fan, Global Scientist Day Awards, quantum computing, Nanjing University of Science and Technology, bibliometrics, research evaluation, scientific publications, citation analysis, h-index, quantum information science, academic recognition.

Introduction

Quantum computing investigates computational approaches based on quantum-mechanical principles, including superposition and entanglement. The field encompasses quantum algorithms, information processing, hardware architectures, error correction, and related theoretical and experimental methods. Research is evaluated through scholarly literature, reproducibility, technical advances, and the significance of reported results. [1] [2]

Research Profile

The supplied profile associates Jihao Fan with Nanjing University of Science and Technology in China and identifies quantum computing as the principal subject area. The reported bibliometric indicators comprise 34 documents, 188 citations, and an h-index of 6. These values are reproduced from the provided information and have not been independently audited for this article.  [1] [2]

Research Contributions

Research contributions in quantum computing may involve algorithm design, quantum circuit optimization, computational complexity, quantum information theory, hardware development, or error-mitigation techniques. Establishing an individual’s contribution requires examining specific publications, their methods, and the relationship between reported results and earlier work. The available information identifies Jihao Fan’s research area but does not supply a verified publication bibliography or descriptions of individual findings.

Publications

The supplied record reports 34 documents associated with the researcher. A publication assessment should consider document types, publication venues, authorship contributions, publication dates, corrections, and the relevance of each work to quantum computing. Journal articles, conference papers, reviews, and other indexed documents may have different roles across research disciplines. [1] [2]

Research Impact

The reported total of 188 citations indicates that the indexed documents have received scholarly references, while an h-index of 6 means that, in the underlying dataset, at least six documents have each received six or more citations. Exact values can vary between bibliographic databases because their coverage and update schedules differ. Citation counts reflect scholarly attention rather than a direct measure of research quality, societal value, or causal influence.  [3] [4]

Award Suitability

Global Scientist Day Awards is the event specified for this profile. The supplied research indicators may serve as contextual information during an academic recognition review, but they do not establish eligibility, nomination status, award category, or selection. A fair assessment would consider the event’s published rules, the relevance of the candidate’s research, verifiable scholarly outputs, originality, methodological quality, and evidence of contribution to the scientific community.  [3] [4]

Conclusion

The available information provides an academic overview of Jihao Fan, identified with Nanjing University of Science and Technology in China and the subject area of quantum computing. The reported bibliometric figures of 34 documents, 188 citations, and an h-index of 6 offer an initial quantitative description of scholarly activity.

References

    1. Elsevier. (2026). Scopus author details: Jihao Fan, Author ID 56338158800. Scopus.
      https://www.scopus.com/authid/detail.uri?authorId=56338158800
    2. Google. (2026.). Google Scholar author profile: Jihao Fan. Google Scholar.
      https://scholar.google.com/citations?view_op=list_works&hl=en&user=Ce2PklwAAAAJ
    3. Application and performance analysis of Epsilon-Greedy optimization strategy in quantum link selection.
      https://www.sciencedirect.com/science/article/abs/pii/S0020025526001076
    4. Global Scientist Day Awards. (2026.). Official event website.
      https://scientistday.org/

Sayed Abdul Majid Gilani | Emerging Technologies | Best Researcher Award

Published on by Scientist Day

Dr. Sayed Abdul Majid Gilani | Emerging Technologies | Best Researcher Award

Dr. Sayed Abdul Majid Gilani | Birmingham City University | United Kingdom

Dr. Sayed Abdul Majid Gilani is an accomplished researcher in electrical and electronic engineering, specializing in embedded systems, automation, and control engineering. His multidisciplinary research integrates hardware design, sensor networks, and artificial intelligence to develop innovative and energy-efficient solutions for real-world challenges. With over a decade of experience in academia and applied research, Dr. Gilani has contributed significantly to the advancement of embedded control technologies, renewable energy optimization, and industrial automation systems. His work emphasizes intelligent system design, IoT-based automation, and the integration of machine learning algorithms for enhanced performance and sustainability. Dr. Gilani has published extensively in high-impact journals and presented at leading international conferences, reflecting his global engagement and scientific rigor. He has also supervised numerous research projects and guided students in developing practical applications of emerging technologies. His research outputs demonstrate a strong commitment to technological innovation that bridges the gap between theory and application. Recognized for his academic excellence and collaborative research initiatives, Dr. Gilani continues to advance cutting-edge developments that contribute to the evolution of smart, adaptive, and efficient engineering systems—making him a deserving candidate for the Best Researcher Award.

Profiles: Google Scholar | Scopus | LinkedIn | Research Gate

Featured Publications 

Gilani, S. A. M., & Faccia, A. (2021). Broadband connectivity, government policies, and open innovation: The crucial IT infrastructure contribution in Scotland. Journal of Open Innovation: Technology, Market, and Complexity, 8(1), 1. https://doi.org/10.3390/joitmc8010001

Gilani, S. A. M., Copiaco, A., Gernal, L., Yasin, N., Nair, G., & Anwar, I. (2023). Savior or distraction for survival: Examining the applicability of machine learning for rural family farms in the United Arab Emirates. Sustainability, 15(4), 3720. https://doi.org/10.3390/su15043720

Gilani, S., Gernal, L., Tantry, A., Yasin, N., & Sergio, R. (2022). Leadership styles adopted by Scottish micro-businesses during the COVID-19 pandemic. In Proceedings of the International Conference on Business and Technology (pp. 144–156). Springer.

Al Jaghoub, J., Suleiman, A., Takshe, A. A., Moussa, S., Gilani, S. A. M., Sheikh, S., & others. (2024). The role of innovation in waste management for enterprises: A critical review of the worldwide literature. In Technology-Driven Business Innovation (pp. 453–464). Springer.

Gernal, L., Tantry, A., Gilani, S. A. M., & Peel, R. (2024). The impact of online learning and soft skills on college student satisfaction and course feedback. In Technology-Driven Business Innovation: Unleashing the Digital Advantage (pp. 42–54). Springer.

Gilani, S. A. M., Tantry, A., Askri, S., Gernal, L., & Sergio, R. (2023). Adoption of machine learning by rural farms: A systematic review. In Proceedings of the International Conference on Computing and Informatics (pp. 324–335). Springer.

Shadi Shayan | Emerging Technologies | Best Researcher Award

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Dr. Shadi Shayan | Emerging Technologies | Best Researcher Award

Dr. Shadi Shayan | Adelaide University | Australia

Dr. Shadi Shayan’s research lies at the intersection of project management, smart technologies, and social sustainability, focusing on how large-scale urban innovation programs can effectively manage social risks and deliver equitable outcomes. His scholarly work explores the dynamic relationships between technological transformation, social response, and governance frameworks in smart city development. By integrating change management models with risk management processes, Dr. Shayan has developed innovative frameworks that address the socio-demographic dimensions of smart city transitions—bridging theory, practice, and policy. His doctoral research, “Integrating change models and risk management processes: A framework to manage social risks in smart city programs”, provides a comprehensive model for mitigating community resistance and fostering inclusive participation in technologically driven urban initiatives. Dr. Shayan’s publications in leading journals such as Smart Cities, Sustainable Cities and Society, and International Journal of Construction Management advance understanding of how social factors, demographic variables, and stakeholder perceptions influence the success of smart city and infrastructure projects. A consistent theme in his research is the application of systems thinking and socio-technical analysis to enhance decision-making in project and program management. He also examines the evolving roles of professionals, including engineers and quantity surveyors, in adapting to emerging technological and societal challenges. Dr. Shayan’s work has significant implications for both academia and industry. It informs policy frameworks for smart urban governance, supports organizational strategies for managing social risk, and contributes to sustainable and resilient infrastructure planning. Through interdisciplinary collaborations and active engagement with the Smart Cities Council Australia New Zealand, he connects research with real-world impact—helping shape cities that are not only technologically advanced but also socially responsible and inclusive.

Profiles: Google Scholar | LinkedIn

Featured Publications 

Shayan, S., & Kim, K. P. (2025). Social responses and change management strategies in smart city transitions: A socio-demographic perspective. Smart Cities, 8(6), 188. https://doi.org/10.3390/smartcities8060188

Shayan, S., & Kim, K. P. (2023). Understanding correlations between social risks and sociodemographic factors in smart city development. Sustainable Cities and Society, 89, 104320. https://doi.org/10.1016/j.scs.2022.104320

Shayan, S., & Kim, K. P. (2022). A conceptual framework to manage social risks for smart city development programs. In Resilient and responsible smart cities (pp. 77–86). Springer, Cham. https://doi.org/10.1007/978-3-030-98423-6_6

Shayan, S., Kim, K. P., Ma, T., & Nguyen, T. H. D. (2020). The first two decades of smart city research from a risk perspective. Sustainability, 12(21), 9280. https://doi.org/10.3390/su12219280

Shayan, S., & Kim, K. P., & Tam, V. (2019). Critical success factor analysis for effective risk management at the execution stage of a construction project. International Journal of Construction Management, 22(3), 379–386. https://doi.org/10.1080/15623599.2019.1624678

Li Wang | Quantum Computing | Young Scientist Award

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Dr. Li Wang | Quantum Computing | Young Scientist Award 

Dr. Li Wang | Lu Dong University | China

My name is Wang Li, female. I obtained my Doctor’s degree from Northeast Normal University . Currently, I hold the position of Associate Professor at the School of Physics and Optoelectronic Engineering, Ludong University.​ My research field focuses on the theoretical simulation and property study of optoelectronic materials, where I have been committed to exploring the intrinsic mechanisms and application potentials of various optoelectronic materials through systematic theoretical analysis and simulation methods.​ In the past five years, I have achieved remarkable progress in scientific research:​ Research Projects: I presided over 1 Young Scientists Fund Project of the National Natural Science Foundation of China and 1 Doctoral Fund Project of the Shandong Provincial Natural Science Foundation. Additionally, I participated in 2 General Program Projects of the National Natural Science Foundation of China, making positive contributions to the advancement of related research directions.​ Academic Papers: As the first author or corresponding author, I have published 20 papers indexed in SCI. Among these, 10 are classified as TOP papers in the 2nd District of the Chinese Academy of Sciences (CAS), 6 belong to the 2nd District of CAS, and 3 are in the 3rd District of CAS. These works have provided valuable references for peers in the field of optoelectronic materials.​ In 2023, in recognition of my outstanding contributions to young scientific research in the field of optical engineering, I was honored with the Youth Science and Technology Award of the Shandong Optical Engineering Society.​ Looking forward, I will continue to deepen my research in the field of optoelectronic materials, strive for more innovative achievements, and promote the development and application of related disciplines.​

Profile: Orcid

Featured Publications

Wang, L., Xu, X., & Li, R. (2026). Platelet transfusion and mortality in critically ill patients with gastrointestinal bleeding and thrombocytopenia: A retrospective cohort study. The American Journal of Emergency Medicine. https://doi.org/10.1016/j.ajem.2025.09.035

Wang, L., Xu, X., Wang, S., Li, R., & Zhang, P. (2025). Red blood cell alloimmunization in transfused patients with myelodysplastic syndromes: A retrospective study from northern China. Laboratory Medicine. https://doi.org/10.1093/labmed/lmae056

Tang, Y., Wang, L., Zhu, M., Yang, M., Zhong, K., Du, Q., Zhang, H., & Gui, M. (2015). Association of mtDNA M/N haplogroups with systemic lupus erythematosus: A case-control study of Han Chinese women. Scientific Reports, 5, 10817. https://doi.org/10.1038/srep10817