OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Individual Predictors of Autonomous Vehicle Public Acceptance and Intention to Use: A Systematic Review of the Literature
Fahimeh Golbabaei, Tan Yiğitcanlar, Alexander Paz, et al.
Journal of Open Innovation Technology Market and Complexity (2020) Vol. 6, Iss. 4, pp. 106-106
Open Access | Times Cited: 183

Showing 1-25 of 183 citing articles:

Responsible Urban Innovation with Local Government Artificial Intelligence (AI): A Conceptual Framework and Research Agenda
Tan Yiğitcanlar, Juan M. Corchado, Rashid Mehmood, et al.
Journal of Open Innovation Technology Market and Complexity (2021) Vol. 7, Iss. 1, pp. 71-71
Open Access | Times Cited: 175

Barriers and risks of Mobility-as-a-Service (MaaS) adoption in cities: A systematic review of the literature
Luke Butler, Tan Yiğitcanlar, Alexander Paz
Cities (2020) Vol. 109, pp. 103036-103036
Closed Access | Times Cited: 170

Circular Economy Models in Agro-Food Systems: A Review
Manal Hamam, Gaetano Chinnici, Giuseppe Di Vita, et al.
Sustainability (2021) Vol. 13, Iss. 6, pp. 3453-3453
Open Access | Times Cited: 159

Machine learning and remote sensing integration for leveraging urban sustainability: A review and framework
Fei Li, Tan Yiğitcanlar, Madhav Prasad Nepal, et al.
Sustainable Cities and Society (2023) Vol. 96, pp. 104653-104653
Open Access | Times Cited: 87

Connected and Automated Vehicles: Infrastructure, Applications, Security, Critical Challenges, and Future Aspects
Memoona Sadaf, Zafar Iqbal, Abdul Rehman Javed, et al.
Technologies (2023) Vol. 11, Iss. 5, pp. 117-117
Open Access | Times Cited: 51

Smart Urban Mobility Innovations: A Comprehensive Review and Evaluation
Luke Butler, Tan Yiğitcanlar, Alexander Paz
IEEE Access (2020) Vol. 8, pp. 196034-196049
Open Access | Times Cited: 95

The Role of Credence Attributes in Consumer Choices of Sustainable Fish Products: A Review
Giulia Maesano, Giuseppe Di Vita, Gaetano Chinnici, et al.
Sustainability (2020) Vol. 12, Iss. 23, pp. 10008-10008
Open Access | Times Cited: 76

Exploring the influence of anxiety, pleasure and subjective knowledge on public acceptance of fully autonomous vehicles
Hao Tan, Xue Zhao, Jialuo Yang
Computers in Human Behavior (2022) Vol. 131, pp. 107187-107187
Closed Access | Times Cited: 49

Can autonomy level and anthropomorphic characteristics affect public acceptance and trust towards shared autonomous vehicles?
Min Wu, Nanxi Wang, Kum Fai Yuen
Technological Forecasting and Social Change (2023) Vol. 189, pp. 122384-122384
Closed Access | Times Cited: 34

Review of studies on public acceptability and acceptance of shared autonomous mobility services: past, present and future
Haimanti Bala, Sabreena Anowar, Samuel Chng, et al.
Transport Reviews (2023) Vol. 43, Iss. 5, pp. 970-996
Closed Access | Times Cited: 30

The innovative role of blockchain in agri-food systems: a literature analysis
Carla Zarbà, Gaetano Chinnici, Agata Matarazzo, et al.
Food Control (2024) Vol. 164, pp. 110603-110603
Open Access | Times Cited: 9

Early bird catches the worm! Meta-analysis of autonomous vehicles adoption – Moderating role of automation level, ownership and culture
Krishnan Gopinath, Gopalakrishnan Narayanamurthy
International Journal of Information Management (2022) Vol. 66, pp. 102536-102536
Closed Access | Times Cited: 33

Public Acceptance towards Emerging Autonomous Vehicle Technology: A Bibliometric Research
Jen Sim Ho, Booi Chen Tan, Teck Chai Lau, et al.
Sustainability (2023) Vol. 15, Iss. 2, pp. 1566-1566
Open Access | Times Cited: 20

Technology readiness and intentions to use conditionally automated vehicles
Steve O’Hern, Renée M. St. Louis
Transportation Research Part F Traffic Psychology and Behaviour (2023) Vol. 94, pp. 1-8
Open Access | Times Cited: 18

Intention to use private autonomous vehicles in developed and developing countries: What are the differences among the influential factors, mediators, and moderators?
Mohammad Maghrour Zefreh, Belal Edries, Domokos Esztergár-Kiss, et al.
Travel Behaviour and Society (2023) Vol. 32, pp. 100592-100592
Open Access | Times Cited: 18

Assessing Public Acceptance of Autonomous Vehicles for Smart and Sustainable Public Transportation in Urban Areas: A Case Study of Jakarta, Indonesia
Charli Sitinjak, Zurinah Tahir, Mohd Ekhwan Toriman, et al.
Sustainability (2023) Vol. 15, Iss. 9, pp. 7445-7445
Open Access | Times Cited: 18

Survey on the acceptance of smart cars amongst middle-aged and elderly in China
Fangui Zeng, Mengmeng Wang, Lingzhe Li, et al.
Technology in Society (2023) Vol. 73, pp. 102234-102234
Closed Access | Times Cited: 16

Exploring university students’ acceptability of autonomous vehicles and urban air mobility
Yigit Can Yavuz
Journal of Air Transport Management (2024) Vol. 115, pp. 102546-102546
Closed Access | Times Cited: 6

Autonomous Vehicles: Moral dilemmas and adoption incentives
Eberhard Feess, Gerd Muehlheusser
Transportation Research Part B Methodological (2024) Vol. 181, pp. 102894-102894
Open Access | Times Cited: 6

Driving forward together: The common intention of Indonesians in different residential areas to use autonomous vehicles
Ari Widyanti, Redifa Erlangga, Auditya Purwandini Sutarto, et al.
Transportation Research Interdisciplinary Perspectives (2024) Vol. 24, pp. 101049-101049
Open Access | Times Cited: 5

Who is inclined to buy an autonomous vehicle? Empirical evidence from California
Md. Mokhlesur Rahman, Jean‐Claude Thill
Transportation (2024)
Open Access | Times Cited: 5

User acceptance of smart e-bikes: What are the influential factors? A cross-country comparison of five European countries
Georgios Kapousizis, Rumana Islam Sarker, M. Baran Ulak, et al.
Transportation Research Part A Policy and Practice (2024) Vol. 185, pp. 104106-104106
Open Access | Times Cited: 5

Integrating perceived safety and socio-demographic factors in UTAUT model to explore Australians' intention to use fully automated vehicles
Yilun Chen, Shah Khalid Khan, Nirajan Shiwakoti, et al.
Research in Transportation Business & Management (2024) Vol. 56, pp. 101147-101147
Open Access | Times Cited: 5

Acceptance towards advanced driver assistance systems (ADAS): A validation of the unified model of driver acceptance (UMDA) using structural equation modelling
Muhammad Wisal Khattak, Kris Brijs, Thi M.D. Tran, et al.
Transportation Research Part F Traffic Psychology and Behaviour (2024) Vol. 105, pp. 284-305
Closed Access | Times Cited: 5

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