Best Researcher Award
| Lihong Zhang |
| Affiliation |
University of Manchester |
| Country |
United Kingdom |
| Scopus ID |
37079828400 |
| Documents |
27 |
| Citations |
1289 |
| h-index |
13 |
| Subject Area |
Aerospace and Automotive Applications |
| Event |
International Research Awards on Fiberreinforced Polymer |
| ORCID |
0000-0003-0183-3517 |
Lihong Zhang
University of Manchester, United Kingdom
The Best Researcher Award recognizes the scholarly contributions of Lihong Zhang, whose interdisciplinary research spans digital transformation, project management, sustainability, and advanced applications related to aerospace and automotive systems. Through an expanding body of publications and conference contributions, the researcher has demonstrated a sustained commitment to understanding complex product-service systems and emerging digital ecosystems. The academic profile, supported by a substantial citation record and international collaborations, reflects notable influence within engineering and management research communities.[1]
Abstract
Lihong Zhang’s research portfolio combines engineering management, digital transformation, and sustainability studies with applications that contribute to aerospace and automotive innovation. The body of work addresses contemporary challenges in project management, circular supply chains, and data-driven decision making. Through methodological diversity and interdisciplinary collaboration, the researcher has contributed to advancing theoretical and practical understanding of complex systems and organizational performance.[2]
Keywords
Digital Transformation; Project Management; Aerospace Applications; Automotive Systems; Sustainability; Circular Supply Chains; Big Textual Data; Corporate Reputation Measurement.
Introduction
The increasing integration of digital technologies into engineering and management disciplines has created opportunities for interdisciplinary research. Lihong Zhang’s investigations explore these developments through studies of organizational transformation, sustainable product-service systems, and analytical methods capable of addressing complex datasets. These themes have become increasingly relevant in industries seeking resilient and data-informed operational strategies.[3]
Research Profile
The researcher maintains an internationally visible scholarly profile with significant citation impact and a growing publication record. The Scopus profile reports 27 indexed documents and more than one thousand citations, reflecting both productivity and influence across multiple domains. Research activities demonstrate engagement with engineering management, sustainability studies, and digital innovation.[1]
Research Contributions
- Advanced understanding of AI-driven corporate reputation measurement in digital ecosystems.
- Development of systematic reviews concerning digital transformation in project management.
- Research on sustainable design and responsible project management in complex product-service systems.
- Application of topic modelling and grounded theory techniques to large textual datasets.
Publications
- AI-driven corporate reputation measurement in digital ecosystems, Acta Psychologica (2025).
- Digital Transformation in Project Management: A Systematic Review and Research Agenda, Systems (2025).
- Towards a complex push-to-pull dynamics in circular construction supply chains, Engineering, Construction and Architectural Management (2025).
- Big textual data research for operations management, International Journal of Operations and Production Management (2024).
Research Impact
The research output has contributed to ongoing discussions concerning digital ecosystems, sustainability transitions, and evidence-based project management practices. Citation performance indicates broad scholarly engagement and suggests that the research findings have influenced subsequent investigations in engineering and management studies. The integration of methodological innovation with practical applications enhances the significance of the work across both academic and industrial settings.[4]
Award Suitability
Lihong Zhang’s sustained scholarly productivity, interdisciplinary orientation, and measurable research impact make the researcher an appropriate candidate for the Best Researcher Award presented during the International Research Awards on Fiberreinforced Polymer. The combination of publication quality, citation influence, and relevance to advanced engineering applications aligns with the objectives of recognizing excellence in research and innovation.[5]
Conclusion
The academic contributions of Lihong Zhang illustrate the value of interdisciplinary scholarship in addressing contemporary engineering and management challenges. Through influential publications, methodological advancement, and sustained international engagement, the researcher has established a noteworthy profile that supports recognition through the Best Researcher Award and highlights continuing contributions to scientific knowledge.[6]
External Links
References
- Elsevier. (n.d.). Scopus author details: Lihong Zhang, Author ID 37079828400. Scopus.
https://www.scopus.com/authid/detail.uri?authorId=37079828400
- Zhang, L. (2025). AI-driven corporate reputation measurement in digital ecosystems. Acta Psychologica.
https://doi.org/10.1016/j.actpsy.2025.105846
- Zhang, L. (2025). Digital Transformation in Project Management: A Systematic Review and Research Agenda. Systems.
https://doi.org/10.3390/systems13080625
- Zhang, L. (2025). Towards a complex push-to-pull dynamics in circular construction supply chains. Engineering, Construction and Architectural Management.
https://doi.org/10.1108/ECAM-03-2023-0294
- Zhang, L. (2024). A Novel Method for Theorising with Big Textual Data: Topic Modelling with Grounded Theory. Academy of Management Proceedings.
https://doi.org/10.5465/amproc.2024.19331abstract
- Zhang, L. (2024). Big textual data research for operations management. International Journal of Operations and Production Management.
https://doi.org/10.1108/IJOPM-03-2023-0239