Automotive Innovation

Aims & Scope

Automotive Innovation is the leading peer-reviewed international journal and China SAE’s flagship publication.

The journal presents innovative findings and influential developments that meet the changing needs of the automotive industry.

It provides a high-level platform for automotive scientists and engineers worldwide.

The journal provides a forum for the research of principles, methodologies, designs, theoretical background, and cutting-edge technologies in connection with the development of vehicle and mobility.

The main topics cover emerging vehicle technologies, including but are not limited to: electrification, autonomous driving, eco-driving.

View Aims & Scope

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Metrics & Ranking

Impact Factor

Year	Value
2025	5
2024	4.80

SJR (SCImago Journal Rank)

Year	Value
2024	1.282

Quartile

Year	Value
2024	Q1

Journal Rank

Year	Value
2024	3166

Journal Citation Indicator

Year	Value
2024	863

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Abstracting & Indexing

Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.

• Scopus
• Google Scholar
• Web of Science

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Subjects & Keywords

Journal’s research areas, covering key disciplines and specialized sub-topics in Engineering, designed to support cutting-edge academic discovery.

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Most Cited Articles

The Most Cited Articles section features the journal's most impactful research, based on citation counts. These articles have been referenced frequently by other researchers, indicating their significant contribution to their respective fields.

• Review and Development of Electric Motor Systems and Electric Powertrains for New Energy Vehicles

  Citation: 208

  Authors: William, Xiaogang, Minghao, Yafei, Yujin

• Lightweight in Automotive Components by Forming Technology

  Citation: 108

  Authors: Stephan, Fabian, Mike, Marlon, Soeren, A. Erman

• Survey on Artificial Intelligence for Vehicles

  Citation: 102

  Authors: Jun, Hong, Hongliang, Shaobo

• Deep Reinforcement Learning Enabled Decision-Making for Autonomous Driving at Intersections

  Citation: 93

  Authors: Guofa, Shenglong, Shen, Yechen, Dongpu, Xingda, Bo

• End-to-End Autonomous Driving Through Dueling Double Deep Q-Network

  Citation: 78

  Authors: Baiyu, Qi, Shengbo Eben, Dongsuk, Yuming, Junqing, Tianyu

• Progress in Automotive Transmission Technology

  Citation: 73

  Authors: Xiangyang, Peng, Yanfang, Hui

• A Comparative Study of Charging Voltage Curve Analysis and State of Health Estimation of Lithium-ion Batteries in Electric Vehicle

  Citation: 69

  Authors: Xuebing, Xuning, Minggao, Languang, Jianqiu, Yuejiu, Zhe

• Uncertainty Evaluation of Object Detection Algorithms for Autonomous Vehicles

  Citation: 68

  Authors: Liang, Hong, Jun

• Cathode Design for Proton Exchange Membrane Fuel Cells in Automotive Applications

  Citation: 67

  Authors: Haojie, Ruiqing, Sheng, Tai, Yichang, Shangfeng

• Impact, Challenges and Prospect of Software-Defined Vehicles

  Citation: 66

  Authors: Zongwei, Wang, Fuquan

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