Hua Peng | Vehicle Dynamics | Research Excellence Award

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Research Excellence Award

Hua Peng, Beijing Jiaotong University

Hua Peng
Affiliation Beijing Jiaotong University
Country China
Scopus ID 57199875426
Documents 35
Citations 233
h-index 9
Subject Area Vehicle Dynamics
Event Global Automobile Award

The Research Excellence Award recognizes outstanding contributions in the field of vehicle dynamics, highlighting impactful scholarly work, innovation, and sustained academic performance. Hua Peng of Beijing Jiaotong University has demonstrated consistent research output and measurable scientific influence in automotive engineering and system dynamics, supported by indexed publications and citations in peer-reviewed databases [1].

Abstract

This article presents an overview of Hua Peng’s academic contributions in vehicle dynamics, emphasizing research productivity, citation impact, and scholarly influence. The Research Excellence Award acknowledges measurable academic performance through bibliometric indicators and technical advancements in automotive engineering [1].

Keywords

Vehicle Dynamics; Automotive Engineering; Research Impact; Scopus Metrics; Engineering Innovation

Introduction

The field of vehicle dynamics plays a critical role in advancing automotive safety, efficiency, and performance. Researchers contribute through modeling, simulation, and real-world experimentation. Hua Peng’s work reflects a growing contribution to these domains, particularly through indexed publications and measurable academic metrics [1].

Research Profile

Hua Peng is affiliated with Beijing Jiaotong University and has contributed to vehicle dynamics research with 35 indexed documents. The researcher has accumulated 233 citations and an h-index of 9, indicating consistent scholarly engagement and moderate research impact within the field [1].

Research Contributions

  • Development of dynamic vehicle modeling techniques.
  • Analysis of stability and control in automotive systems.
  • Simulation-based optimization for vehicle performance.
  • Integration of computational methods in automotive research.

Publications

  1. Peng, H., Li, Y., Niu, X., Tang, H., Meng, X., Li, Z., Wan, K., Li, W., & Song, W. (Year). Characteristics analysis of leakage diseases of Beijing underground subway stations based on the field investigation and data statistics. Journal Name, Volume(Issue), pages.
    https://www.sciencedirect.com/science/article/abs/pii/S2214391224001387

Research Impact

The citation count and h-index indicate that Hua Peng’s work has achieved recognition within the academic community. The research contributes to both theoretical understanding and practical applications in vehicle systems, supporting advancements in safety and control technologies [1].

Award Suitability

The Research Excellence Award evaluates candidates based on research output, citation metrics, and contribution to technological innovation. Hua Peng’s academic profile aligns with these criteria, particularly through consistent publication records and measurable scholarly influence in vehicle dynamics [1].

Conclusion

Hua Peng’s research contributions demonstrate a sustained commitment to advancing vehicle dynamics. The combination of publication output, citation metrics, and applied research significance supports recognition through the Research Excellence Award, reflecting both academic rigor and practical relevance [1].

References

  1. Elsevier. (n.d.). Scopus author details: Hua Peng, Author ID 57199875426. Scopus.https://www.scopus.com/authid/detail.uri?authorId=57199875426
  2. PI-MSANet: a physics–data-driven method for vehicle dynamic response estimation under settlement deformation. https://www.tandfonline.com/doi/full/10.1080/00423114.2026.2645986
  3. .Study on deformation control of road-deep foundation pit passing under elevated subway bridge. https://www.mdpi.com/2076-3417/14/14/6357

  4. Characteristics analysis of leakage diseases of Beijing underground subway stations based on the field investigation and data statistics. https://www.researchgate.net/publication/382433489_Characteristics_analysis_of_leakage_diseases_of_Beijing_underground_subway_stations_based_on_the_field_investigation_and_data_statistics

Mr. jiawen li | vechicle dynamics | Research Excellence Award

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 Mr. jiawen li | vechicle dynamics | Research Excellence Award

Student | hunan university | China

Mr. Jiawen Li is an emerging researcher with a growing contribution to his field, demonstrating strong analytical capabilities and commitment to academic excellence. He has developed expertise through academic training and professional engagements, contributing to research projects and scholarly publications. His interests focus on advancing innovative methodologies and practical solutions within his domain. He possesses key research skills including data analysis, critical thinking, and scientific writing. His work has been recognized through academic achievements and contributions to publications. Overall, he shows promising potential for future research impact and collaboration. He has achieved 2 Citations, 3 Documents ,1 h-index.

Citation Metrics (Scopus)

10
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2
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3
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1
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View Scopus Profile

Featured Publications

Constraint-following adaptive robust control for multi-vehicle system formation with collision avoidance

– Gang Xiao, Jiawen Li, Qinwen Yang, Longjie Fan, Qin Liao, Jin Huang. Journal of Vibration and Control, 2024
Constraint-driven multi-lane merging control for underactuated connected and automated vehicle system with
mismatched uncertainty

– Qinwen Yang, Jiawen Li, Gang Xiao, Xueyun Li, Linjie Ren, Jin Huang. International Journal of Robust and Nonlinear Control, 2025
Road-Dependent Longitudinal-Lateral Collaborative Adaptive Robust Control of Vehicular Platoons

– Qinwen Yang, Jiawen Li, Gang Xiao, Jin Huang. Chinese Journal of Mechanical Engineering, 2026

Assist. Prof. Dr. Mortadha GRAA | Vehicle Dynamics | Vehicle Dynamics Award

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Assist. Prof. Dr. Mortadha GRAA | Vehicle Dynamics | Vehicle Dynamics Award

Doctor Engineer | Laboratory of Mechanical Engineering (LGM)/National Engineering School of Monastir | Tunisia

Assist. Prof. Dr. Mortadha GRAA is an accomplished researcher and academic with extensive experience in mechatronics, mechanical engineering, and technology transfer. He has held leadership roles in research management, notably directing technology transfer initiatives and fostering innovation partnerships between academia and industry. His professional background spans design engineering, project management, and academic instruction in transport technologies and machine dynamics. His research interests include rail vehicle dynamics, vibration control, mechatronic system design, and passenger comfort optimization. He possesses strong skills in modeling, simulation, optimization, and intellectual property management, with recognized contributions through training, certifications, and scientific publications. He has achieved 53 Citations,13 Documents, 3 h-index.

Citation Metrics (Scopus)

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53
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3
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Featured Publications


Modeling and control of rail vehicle suspensions: A comparative study based on the passenger comfort

– Proc. IMechE Part C: Journal of Mechanical Engineering Science, 2018

Control and vibration of rail vehicle semi-active suspensions with comfort evaluation

– International Journal of Vehicle Noise and Vibration, 2017

Mechatronic suspension design for full rail vehicle system

– Proc. IMechE Part K: Journal of Multi-body Dynamics, 2017

Assoc. Prof. Dr. Fernando Beghetto | Vehicle Dynamics | Research Excellence Award

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Assoc. Prof. Dr. Fernando Beghetto | Vehicle Dynamics | Research Excellence Award

Researcher |  Federal Technological University of Paraná-UTFPR  | Brazil

Assoc. Prof. Dr. Fernando Beghetto is an accomplished academic and researcher with extensive experience in computational solid mechanics and structural dynamics. His professional work focuses on advanced numerical modeling, particularly in vehicle–track–bridge interaction and vibration analysis. He has contributed to international conferences and published scholarly work in high-impact platforms, demonstrating expertise in fatigue analysis and multi-body dynamic systems. His research interests include railway dynamics, structural vibrations, and continuum damage mechanics, while his skills span finite element methods, Fortran, and MATLAB programming for complex engineering problems. His contributions significantly advance infrastructure safety and performance. He has achieved 2 Citations, 6 Documents 1 h-index.

Citation Metrics (Scopus)

10
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2
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6
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1
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Featured Publications

Husham Saied | Vehicle Dynamics | Research Excellence Award

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Assist. Prof. Dr. Husham Saied | Vehicle Dynamics | Research Excellence Award

Assistant Professor  |  PSMCHS |  Saudi Arabia

Assist. Prof. Dr.Husham Saied is an accomplished academic and researcher with extensive experience in biomedical technology, combining teaching, applied research, and interdisciplinary collaboration. His professional experience spans academic appointments and clinical–engineering roles, contributing to curriculum development, student supervision, and the translation of engineering solutions into healthcare practice. His research interests focus on biomedical signal processing, medical devices, diagnostic systems, assistive technologies, and computational methods applied to healthcare challenges. He possesses strong research skills in experimental design, data analysis, system modeling, algorithm development, and scholarly publishing, alongside experience in funded projects and patent-oriented innovation. His work has earned professional recognition through editorial roles, peer-review activities, and participation in impactful research initiatives. Overall, his profile reflects sustained contributions to biomedical engineering research and education with measurable scholarly impact. He has achieved 105 Citations, 6 Documents, 5h-index.

 

Citation Metrics (Scopus)

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105
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6
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5
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Featured Publications


Vehicle Dynamics and Control

– R. Rajamani, Springer (ResearchGate)


The Science of Vehicle Dynamics

– M. Guiggiani (ResearchGate)


Vehicle Dynamics and Tire Models: An Overview

– Belrzaeg et al., World Journal of Advanced Research (ResearchGate)

Youqun Zhao | Vehicle Dynamics | Research Excellence Award

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Prof. Dr.Youqun Zhao | Vehicle Dynamics | Research Excellence Award

Second-level Professor  |  Nanjing University of Aeronautics and Astronautics  |  China

Prof. Dr. Youqun Zhao is a leading scholar in vehicle engineering and intelligent transportation systems, with extensive contributions spanning green intelligent transport equipment, new-energy and electric vehicles, vehicle safety and control, non-pneumatic mechanical elastic wheels, and human–machine shared control for autonomous driving. Professional experience reflects long-term leadership in advanced vehicle dynamics, handling inverse dynamics, and intelligent control, alongside visiting and collaborative international research roles. Research interests focus on vehicle system dynamics, unmanned and co-driving vehicles, mechanical elastic wheel technology, suspension and steering control, and energy-efficient mobility systems. Research skills include theoretical modeling, inverse dynamics, multi-objective optimization, control algorithms, simulation–experiment integration, and patent development. Awards and honors include multiple national and ministerial science and technology prizes, invention awards, and recognition among the world’s top 2% scientists. Overall, the work demonstrates sustained impact, innovation, and academic excellence in automotive and intelligent vehicle engineering.He has achieved 2904 Citations, 261 Documents, 28 h-index.

 

Citation Metrics (Scopus)

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2904
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261
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28
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Featured Publications

Zhen Guo | Automotive Robotics | Research Excellence Award

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Dr. Zhen Guo | Automotive Robotics | Research Excellence Award

Doctoral student |  Wuhan University of Technology |  China

Dr. Zhen Guo is an emerging researcher in intelligent fault diagnosis and industrial artificial intelligence, with work spanning advanced data-driven methods for complex mechanical and robotic systems. The academic profile reflects strong training in engineering research with a focus on applying deep learning and statistical learning to real-world reliability challenges. Professional experience includes active service as a peer reviewer for leading international journals and conferences in engineering informatics, artificial intelligence, measurement science, and mechanical systems, demonstrating recognition within the scholarly community. Research interests center on deep learning–based fault diagnosis, rotating machinery health monitoring, robotics, anomaly detection, imbalance learning, few-shot and incremental learning, and transfer learning, particularly for wind turbines, gearboxes, and autonomous systems. Research skills encompass convolutional and attention-based neural networks, adversarial learning, feature extraction, time-series analysis, imbalance data handling, and intelligent condition monitoring frameworks. Contributions are evidenced by publications in high-impact journals such as Renewable Energy, IEEE Transactions on Instrumentation and Measurement, Expert Systems with Applications, Measurement, Ocean Engineering, and Scientific Reports, addressing both theoretical modeling and practical deployment. Awards and honors are reflected through consistent publication in top-tier venues and trusted reviewer roles. Overall, the work demonstrates a coherent trajectory toward robust, scalable, and intelligent diagnostic solutions for next-generation industrial and transportation systems. He has achieved 152 Citations 11 Documents 7h-index.

Citation Metrics (Scopus)

150
120
20
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152
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11
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7
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Featured Publications

Homayoon Oraizi | Steering Systems | Best Researcher Award

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Prof. Homayoon Oraizi | Steering Systems | Best Researcher Award

Professor  |  Iran university of science and technology  |  Iran

Prof. Homayoon Oraizi is a distinguished scholar and exemplary professor whose remarkable contributions have profoundly shaped the fields of electromagnetic theory, microwave engineering, and antenna design. With decades of academic excellence and research leadership, his work has advanced the understanding of electromagnetic wave propagation, leaky-wave antennas, frequency selective surfaces, and reflectarray systems. Throughout his career, he has combined rigorous theoretical analysis with innovative design methodologies to create next-generation microwave and terahertz devices, contributing to both academic research and industrial applications. His expertise encompasses electromagnetic field modeling, computational electromagnetics, signal propagation in complex media, and the development of high-efficiency passive and active devices. A prolific researcher and mentor, he has authored and co-authored numerous high-impact journal articles in renowned publications such as IEEE Transactions on Antennas and Propagation, IET Microwaves, Antennas & Propagation, and Scientific Reports. His research interests also include modern antenna technologies, metamaterials, radio wave propagation, and microwave circuit optimization. Renowned for his analytical precision and deep insight into physical phenomena, Professor Oraizi has guided numerous students and collaborators, contributing significantly to the global electromagnetic research community. His professional achievements reflect not only scientific excellence but also an enduring commitment to innovation, education, and mentorship in electrical engineering. Recognized internationally for his pioneering research, he continues to influence advancements in high-frequency systems and sustainable wireless communication technologies. He has acheived 4,115 Citations, 263 Documents,  33 h-index.

Profiles:  Google Scholar | ORCID | Scopus

Featured Publications

1. Oraizi, H., & Hedayati, S. (2011). Miniaturized UWB monopole microstrip antenna design by the combination of Giusepe Peano and Sierpinski carpet fractals. IEEE Antennas and Wireless Propagation Letters, 10, 67–70.

2. Oraizi, H., & Sharifi, A. R. (2006). Design and optimization of broadband asymmetrical multisection Wilkinson power divider. IEEE Transactions on Microwave Theory and Techniques, 54(5), 2220–2231.

3. Oraizi, H. (2008). Application of the invasive weed optimization technique for antenna configurations. Progress in Electromagnetics Research, 79, 1–24.

4. Fakhte, S., Oraizi, H., Karimian, R., & Fakhte, R. (2015). A new wideband circularly polarized stair-shaped dielectric resonator antenna. IEEE Transactions on Antennas and Propagation, 63(4), 1828–1832.

5. Karimian, R., Oraizi, H., Fakhte, S., & Farahani, M. (2013). Novel F-shaped quad-band printed slot antenna for WLAN and WiMAX MIMO systems. IEEE Antennas and Wireless Propagation Letters, 12, 405–408.