Jinhe Wang | Environmental Impact of Vehicles | China

Innovative Research Award

Jinhe Wang
Affiliation Taiyuan University of Science and Technology
Country China
Scopus ID 57201033993
Documents 20
Citations 158
h-index 8
Subject Area Environmental Impact of Vehicles
Event Global Automobile Award
ORCID 0000-0002-1293-085X
Jinhe Wang
Taiyuan University of Science and Technology

The Innovative Research Award recognizes scholarly excellence, research continuity, and measurable academic impact within specialized scientific domains. This profile summarizes publication metrics, environmental vehicle research activities, and scholarly visibility associated with Jinhe Wang.[1]

Abstract

This article documents an academic recognition profile developed for evaluation under the Innovative Research Award framework. Emphasis is placed on publication activity, citation indicators, and environmental impact research associated with vehicle technologies.[2]

Keywords

Innovative Research Award; Environmental Impact of Vehicles; Vehicle Sustainability; Citation Analysis; Research Recognition

Introduction

Vehicle environmental studies contribute to sustainable engineering through lifecycle evaluation, emissions analysis, and predictive decision methodologies. Academic awards frequently assess influence through measurable publication indicators.[3]

Research Profile

Jinhe Wang has contributed to environmental and maintenance-related research areas through indexed publications and demonstrated citation performance. The publication portfolio reflects sustained academic engagement.[1]

Research Contributions

  • Environmental impact assessment methods.
  • Vehicle sustainability research.
  • Maintenance and optimization modelling.
  • Engineering decision-support analysis.

Publications

  • A chance-constrained net revenue model for online dynamic predictive maintenance decision-making.
  • Optimal external opportunistic maintenance for wind turbines considering wind speed.

Research Impact

Citation indicators and indexed publication records indicate continued academic visibility and measurable contribution to engineering literature.[4]

Award Suitability

The profile aligns with award evaluation criteria emphasizing originality, measurable output, and research relevance.

Conclusion

This recognition profile provides a structured and publication-ready overview suitable for academic presentation and award submission.

References

  1. Elsevier. (n.d.). Scopus author details: Jinhe Wang, Author ID 57201033993.
    https://www.scopus.com/authid/detail.uri?authorId=57201033993
  2. ORCID. (n.d.). Research profile record.
    https://orcid.org/0000-0002-1293-085X
  3. DOI Reference.
    https://doi.org/10.1080/15435075.2023.2281335
  4. A chance-constrained net revenue model for online dynamic predictive maintenance decision-making.
    https://www.sciencedirect.com/science/article/abs/pii/S0951832024003065

Tobias Stoll | Environmental Impact of Vehicles | R&D Excellence Award

Dr. Tobias Stoll | Environmental Impact of Vehicles | R&D Excellence Award

Projektleiter  |  FKFS  |  Germany

Dr. Tobias Stoll is an accomplished researcher and engineer with a strong focus on vehicle and powertrain technologies, combining applied research with advanced technological evaluation. His professional experience spans leadership roles as project lead and project engineer at leading automotive research institutes, where he has contributed to software development, computational analysis, and system-level technology assessment. His research interests center on vehicle propulsion systems, automotive engineering methodologies, and data-driven evaluation of emerging technologies. He possesses strong research skills in simulation, calculation methods, and scientific software development. His work has been recognized with prestigious honors, including a Best Paper Award and the Kamm-Jante-Medaille, reflecting both academic excellence and industry relevance. Overall, his profile demonstrates impactful contributions to automotive research and innovation. He has achieved 2 Citations, 6 Documents,1h-index.

 

Citation Metrics (Scopus)

40

30

20

0

2
Citations

6
Documents

1
h-index

Citations

Documents

h-index


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