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Knowledge mapping of an artificial intelligence application scenario

A bibliometric analysis of the basic research of data-driven autonomous vehicles

Bibliographic Data

ID11238162
AuthorsLei Huang (0000-0002-5422-5470, Karlsruhe Institute of Technology, corresponding author), Miltos Ladikas (0000-0001-7958-8975, Karlsruhe Institute of Technology), Jens Schippl (0000-0003-3169-6365, Karlsruhe Institute of Technology), Guangxi He (0009-0001-4806-7832, Chinese Academy of Science and Technology for Development), Julia Hahn (0000-0003-2864-7351, Karlsruhe Institute of Technology)
Year2023
Volume75
Pages102360
Publication date2023-11-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueTechnology in Society (JOURNAL)
Journal identifiersISSN: 0160-791X • E-ISSN: 1879-3274
PublisherElsevier BV (PUBLISHER)
DOI10.1016/j.techsoc.2023.102360
OpenAlexW4386840779
LanguageEN
Citations received7
References cited41

Citation · Convolutional neural network · Corporate governance · Data science · Economics · Knowledge management · Management · Management science · Social network analysis · Blockchain Technology Applications and Security · Computer Science · Engineering · Ethics and Social Impacts of AI · Artificial Intelligence

  • Welcome to the dark side

    Edoardo Crocco, Elisa Ballesio et al.•Journal of Risk Research•2026

  • Evolution of smart grid cybersecurity

    Open Access•Luanjuan Jiang, Qianmu Li•Utilities Policy•2025

  • Exploring collaborative decision-making

    Open Access•Xinyue Hao, Emrah Demir et al.•Technology in Society•2024

  • Retrospective of interdisciplinary research on robot services (1954–2023)

    Open Access•Ying Zeng, Xinyi Liu et al.•Technology in Society•2024

  • Supercomputers and quantum computing on the axis of cyber security

    Open Access•Haydar Yalçın, Haydar Yalcin et al.•Technology in Society•2024

  • Driving out risk

    Open Access•Xinyi Wu, Luca Mora et al.•Technology in Society•2026

  • Navigating the AI technology landscape from GitHub data

    Open Access•Jaemyoung Choi, Sungsoo Lee et al.•Technology in Society•2026

  • Explanation in artificial intelligence

    Open Access•Tim Miller•Artificial Intelligence•2019

  • Machine learning

    Open Access•M I Jordan, T M Mitchell•Science•2015

  • Applied artificial intelligence and trust—The case of autonomous vehicles and medical assistance devices

    Open Access•Monika Hengstler, Ellen Enkel et al.•Technological Forecasting and…•2016

  • The structure and dynamics of cocitation clusters

    Open Access•Chaomei Chen, Fidelia Ibekwe‐SanJuan et al.•Journal of the Association for…•2010

  • Artificial Intelligence (AI)

    Open Access•Yogesh K Dwivedi, Laurie Hughes et al.•International Journal of…•2021

  • The structuration of socio-technical regimes—Conceptual foundations from institutional theory

    Open Access•Lea Fuenfschilling, Bernhard Truffer•Research Policy•2014

  • Impact of data sources on citation counts and rankings of LIS faculty

    Open Access•Lokman I Meho, Kiduk Yang•Journal of the Association for…•2007

  • Literature reviews as independent studies

    Open Access•Krau, Matthias Breier et al.•Review of Managerial Science•2022

  • An approach for detecting, quantifying, and visualizing the evolution of a research field

    Open Access•Manuel J Cobo, A G López‐Herrera et al.•Journal of Informetrics•2011

  • Generative adversarial networks

    Open Access•Ian Goodfellow, Jean Pouget-Abadie et al.•Communications of the ACM•2020

  • Bibliometrix

    Open Access•Massimo Aria, Corrado Cuccurullo•Journal of Informetrics•2017

  • Bibliometric Methods in Management and Organization

    Open Access•Ivan Zupic, Tara Cater et al.•Organizational Research Methods•2015

  • AI4People—An Ethical Framework for a Good AI Society

    Open Access•Luciano Floridi, Josh Cowls et al.•Minds and Machines•2018

  • Transition pathways to fully automated driving and its implications for the sociotechnical system of automobility

    Open Access•Eva Fraedrich, Sven Beiker et al.•European Journal of Futures…•2015

  • Adaptive governance of autonomous vehicles

    Open Access•Si Ying Tan, Araz Taeihagh•Government Information Quarterly•2021

  • Machine learning, social learning and the governance of self-driving cars

    Open Access•Jack Stilgoe•Social Studies of Science•2017

  • Survey on the acceptance of smart cars amongst middle-aged and elderly in China

    Open Access•Fangui Zeng, Mengmeng Wang et al.•Technology in Society•2023

  • Managing innovation in the era of AI

    Open Access•Zeljko Tekic, John Fuller et al.•Technology in Society•2023

  • The blended future of automation and AI

    Open Access•Hisham O Khogali, Samir Mekid•Technology in Society•2023

  • Assessing the regulatory challenges of emerging disruptive technologies

    Open Access•Araz Taeihagh, M Ramesh et al.•Regulation & Governance•2021

  • Regulating human control over autonomous systems

    Open Access•Mikołaj Firlej, Araz Taeihagh•Regulation & Governance•2021

  • Algorithmic content moderation

    Open Access•Robert Gorwa, Reuben Binns et al.•Big Data & Society•2020

Unique citing works7
Citations per year3,5
Citation span2024 - 2026 (3)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 7

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