Qibo Deng | Battery Technology | Research Excellence Award

Posted on by Automobile Award

Research Excellence Award

Qibo DENG
Hebei University of Technology
Qibo Deng
Affiliation Hebei University of Technology
Country China
Scopus ID 36140201400
Documents 130
Citations 3002
h-index 32
Subject Area Battery Technology
Event Global Automobile Award
ORCID 0000-0003-3383-9358

The Research Excellence Award recognizes the scholarly contributions of Qibo DENG in the field of battery technology and advanced energy materials research. The academic profile reflects sustained publication activity, citation performance, and international scientific engagement associated with energy storage systems, electrochemical applications, and automotive innovation studies.[1]

Abstract

This article documents the academic profile and research recognition associated with Qibo DENG of Hebei University of Technology within the subject area of battery technology. The profile demonstrates consistent scholarly productivity through peer-reviewed publications, citation performance, interdisciplinary collaborations, and contributions to advanced electrochemical systems relevant to automotive and energy storage applications. Research outputs connected to lithium-ion batteries, electrode materials, energy efficiency, and sustainable mobility technologies have contributed to broader developments in transportation electrification and industrial innovation.

Keywords

Battery technology, lithium-ion batteries, electrochemical engineering, automotive innovation, energy storage systems, sustainable mobility, electrode materials, research excellence, advanced materials, automotive engineering.

Introduction

Battery technology has become an essential component of modern transportation systems, renewable energy integration, and industrial electrification initiatives. Academic research in this field supports the development of efficient storage mechanisms, environmentally responsible materials, and long-term sustainability strategies relevant to automotive engineering and advanced manufacturing sectors.

Research Profile

The academic profile of Qibo DENG reflects interdisciplinary participation across engineering, electrochemistry, and energy storage research domains. The publication portfolio includes numerous journal articles, conference papers, and collaborative studies focused on battery efficiency, electrode development, and sustainable technological applications for automotive industries.[4]

Research Contributions

Research contributions associated with Qibo DENG include investigations into lithium-ion battery structures, electrochemical material performance, and energy density optimization. These studies contribute to scientific understanding of battery durability, operational stability, and thermal management systems relevant to electric vehicle applications.[5]

Publications

The publication record associated with Qibo DENG includes peer-reviewed articles addressing battery materials, electrochemical systems, and automotive energy technologies. Research dissemination through indexed journals supports international scientific collaboration and knowledge transfer across engineering and applied science communities.[2]

  1. Studies on lithium-ion battery material enhancement and cycle stability analysis.
  2. Research concerning electrode conductivity and electrochemical efficiency optimization.
  3. Investigations into advanced battery architectures for electric vehicle systems.
  4. Collaborative publications related to sustainable automotive energy technologies.

Research Impact

Research impact is reflected through citation performance, publication visibility, and interdisciplinary application potential. The documented citation record indicates that the research outputs have contributed to ongoing scientific discussions concerning energy storage technologies and transportation electrification strategies.[1]

Award Suitability

The Research Excellence Award recognizes measurable academic achievement and sustained scholarly engagement in battery technology research. Publication metrics, citation influence, and interdisciplinary scientific contributions collectively demonstrate suitability for recognition within the Global Automobile Award framework.[4]

Conclusion

The academic profile of Qibo DENG illustrates sustained research activity within the field of battery technology and energy storage systems. Citation indicators, publication productivity, and interdisciplinary engineering relevance collectively support recognition through the Research Excellence Award associated with the Global Automobile Award event.[1]

References

  1. Elsevier. (n.d.). Scopus author details: Qibo DENG, Author ID 36140201400. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=36140201400
  2. ORCID. (n.d.). Research activities and scholarly profile of Qibo DENG. ORCID Registry.
    https://orcid.org/0000-0003-3383-9358
  3. Global Automobile Award. (2026). Research Excellence Award evaluation framework and recognition criteria.

    automobileaward.com/

  4. The tensile strain effect on multi-coverage structures of hydrogen adsorption at Pt(111) electrocatalyst surfaces.
    https://www.researchgate.net/publication/402139196_The_tensile_strain_effect_on_multi-coverage_structures_of_hydrogen_adsorption_at_Pt111_electrocatalyst_surfaces_DFT_calculation_studyjinggeyingbianzuoyongxiabo111diancuihuacailiaobiaomianduoqingxifude

  5. Electrochemically-Induced Deformation Mechanism and Actuation Properties of Nanoporous Ni-Based Composite Films.
    https://www.researchgate.net/publication/399623086_Electrochemically-Induced_Deformation_Mechanism_and_Actuation_Properties_of_Nanoporous_Ni-Based_Composite_Films

Yipeng Sun | Battery Technology | Research Excellence Award

Posted on by Automobile Award

Assoc. Prof. Dr. Yipeng Sun | Battery Technology | Research Excellence Award

Associate Professor | Eastern Institute of Technology, Ningbo | China

Assoc. Prof. Dr.Yipeng Sun is a highly cited researcher specializing in advanced energy storage materials, with a strong focus on interfacial engineering for next-generation lithium-ion and solid-state batteries. Professional experience spans academic research leadership and postdoctoral innovation, contributing to high-impact studies on atomic and molecular layer deposition, electrode–electrolyte interfaces, and degradation mechanisms in high-energy-density battery systems. Research interests include durable cathode and anode materials, halide and sulfide electrolytes, synchrotron-based characterization, and scalable surface modification strategies for safe, long-life batteries. Research skills encompass atomic-scale fabrication, electrochemical analysis, in situ diagnostics, and materials design. Awards and honors reflect recognition at national and international levels for research excellence and innovation. Overall, the work demonstrates sustained contributions to battery science and practical energy solutions. He has achieved 3847 Citations 45 Documents 34h-index.

 

Citation Metrics (Scopus)

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3,847
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45
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34
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Featured Publications

Ayşe Tuğba Yapıcı | Electric Vehicles | Best Research Article Award

Posted on by Automobile Award

Ms. Ayşe Tuğba Yapıcı | Electric Vehicles | Best Research Article Award

Doctoral Researcher  |  Kocaeli University  |  Turkey

Ms. Ayşe Tuğba Yapıcı is a dedicated doctoral researcher whose academic journey is strongly rooted in cutting-edge technologies for electric vehicles, smart energy systems, and intelligent power electronics. She has cultivated significant professional experience through her active involvement in research addressing real-world problems such as electric vehicle charging optimization, grid-integrated charging infrastructures, and advanced modeling of power converter systems. Throughout her career, she has contributed to impactful scientific studies focusing on induction heating systems, charging time prediction using deep learning, and data-driven forecasting on electric vehicle adoption and infrastructure planning. Her research interests include electric vehicle technologies, charging station design, renewable-integrated smart grids, artificial intelligence–based energy forecasting, machine learning and deep learning applications in power systems, and IoT-enhanced smart mobility frameworks. She possesses strong research skills in Python-based deep learning toolkits, MATLAB/Simulink, DigSilent PowerFactory modeling, statistical evaluation metrics, time-series forecasting, optimization algorithms, and performance analysis of intelligent systems. She has published multiple peer-reviewed articles in international SCI/Scopus-indexed journals, delivering innovative research outcomes that offer comprehensive and practical solutions for the sustainable development of electric transportation. Her research achievements include proposing an intelligent deep learning–based framework for EV charging time prediction, integrating spatial–temporal mobility parameters, and enhancing operational efficiency for fast-charging infrastructures. Her work stands out for its interdisciplinary approach and technological significance, supporting the transition toward cleaner mobility, optimized charging networks, and smart energy management. In addition to research excellence, she continues to contribute to academic and scientific communities through conference participation, collaborations, and knowledge dissemination. She aims to advance secure, intelligent, and scalable charging automation systems that support next-generation autonomous electric mobility. Her long-term vision is to shape energy-efficient transportation ecosystems, reduce environmental impacts, and contribute to the global sustainability agenda through innovation and scientific leadership. She has achieved  3 Citations , 2 Documents,  1 h-index.

Featured Publications

Yapıcı, A. T., & Abut, N. (2025, November 23). An intelligent and secure IoT-based framework for predicting charging and travel duration in autonomous electric taxi systems. Applied Sciences.

Yapıcı, A. T., Abut, N., & Yıldırım, A. (2025, October 27). Estimation of future number of electric vehicles and charging stations: Analysis of Sakarya Province with LSTM, GRU and multiple linear regression approaches. Applied Sciences.

Yapıcı, A. T., & Abut, N. (2025, August 21). Geleceğe yönelik elektrikli araç ve şarj istasyonu sayılarının LSTM ve GRU derin öğrenme yöntemleri kullanılarak tahmin edilmesi: Kocaeli ili örneği. Politeknik Dergisi.

Yapıcı, A. T., Abut, N., & Erfidan, T. (2025, April 11). Comparing the effectiveness of deep learning approaches for charging time prediction in electric vehicles: Kocaeli example. Energies.

Yapıcı, A. T., & Abut, N. (2024, September 15). Elektrikli araç şarj istasyonu konum tasarımında, Digsilent yazılımı kullanılarak Kocaeli Üniversitesi Umuttepe Kampüsü için örnek uygulama. Black Sea Journal of Engineering and Science.

Ayşe Tuğba Yapıcı’s research advances intelligent and sustainable electric mobility by integrating deep learning, smart grid technologies, and IoT-based predictive frameworks to optimize charging infrastructure and energy management. Her work supports the transition toward autonomous electric transportation, reducing environmental impacts, improving urban mobility planning, and contributing to global innovation in smart energy systems. She envisions scalable, reliable, and human-centered smart mobility ecosystems that accelerate the adoption of clean transportation worldwide.