Work

Emerging Trends in Intelligent Vehicles: The IEEE TIV Perspective

Year: 2023

Type: article

Source: IEEE Transactions on Intelligent Vehicles

DOI: 10.1109/tiv.2023.3291457

Authors: Hui Zhang, Junbo Guo, Guiyang Luo, Lingxi Li, Xiaoxiang Na, Xiao Wang, Siyu Teng, Siji Ma, Yidong Li

Institutions: Beijing Jiaotong University, Beijing University of Posts and Telecommunications, State Key Laboratory of Networking and Switching Technology, Indiana University Indianapolis, Indiana University – Purdue University Indianapolis, University of Cambridge, Chinese Academy of Sciences, Institute of Automation, Hong Kong Baptist University, Macau University of Science and Technology

Language: English

Topic: scientometrics and bibliometrics research

Subfield: Statistics, Probability and Uncertainty

Field: Decision Sciences

Domain: Social Sciences

SDG: Industry, innovation and infrastructure

Open Access status: closed

Funders: China Association for Science and Technology, National Natural Science Foundation of China

Awards: G1773702449, G2597087991, G3088964413, G6999783098

OpenAlex ID: W4382999062

FWCI: 2.616

Cites: 49

Cited by: 14

Related to: 10