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Most cited papers in Engineering Education and Technology

Engineering Education and Technology

What are the most cited papers in Engineering Education and Technology?

The most cited paper in Engineering Education and Technology is "Digital Twin: Enabling Technologies, Challenges and Open Research" (Aidan Fuller, Zhong Fan, Charles R. Day et al., 2020), with 2,846 citations. Next come "Enabling technologies and tools for digital twin" (1,557) and "Digital twin modeling" (1,239).

Showing 50 of 100 papers. Every paper with more than 134 citations is listed.

Most cited papers, sortable by citations and release date
#Paper
1 Digital Twin: Enabling Technologies, Challenges and Open Research Aidan Fuller, Zhong Fan, Charles R. Day et al. · IEEE Access Open access 2020 2,846
2 Enabling technologies and tools for digital twin Qinglin Qi, Fei Tao, Tianliang Hu et al. · Journal of Manufacturing Systems 29 Oct 2019 1,557
3 Digital twin modeling Fei Tao, Bin Xiao, Qinglin Qi et al. · Journal of Manufacturing Systems Jul 2022 1,239
4 On "Software engineering" E. N. Miya · ACM SIGSOFT Software Engineering Notes Open access 1985 1,054
5 Embracing the future of Artificial Intelligence in the classroom: the relevance of AI literacy, prompt engineering, and critical thinking in modern education Yoshija Walter · International Journal of Educational Technology in Higher Education Open access 25 Feb 2024 1,050
6 Digital twin paradigm: A systematic literature review Concetta Semeraro, Mario Lezoche, Hervé Panetto et al. · Computers in Industry ReviewOpen access 10 May 2021 973
7 Artificial intelligence in education: A systematic literature review Shan Wang, Fang Wang, Zhen Zhu et al. · Expert Systems with Applications ReviewOpen access 8 May 2024 915
8 AI technologies for education: Recent research & future directions Ke Zhang, Ayse Begum Aslan · Computers and Education Artificial Intelligence Open access 2021 906
9 The impact of Generative AI (GenAI) on practices, policies and research direction in education: a case of ChatGPT and Midjourney Thomas K. F. Chiu · Interactive Learning Environments Open access 4 Sep 2023 818
10 Reskilling and Upskilling the Future-ready Workforce for Industry 4.0 and Beyond Ling Li · Information Systems Frontiers Open access 13 Jul 2022 750
11 AI-enabled adaptive learning systems: A systematic mapping of the literature Tumaini Kabudi, Ilias O. Pappas, Dag Håkon Olsen · Computers and Education Artificial Intelligence Open access 2021 717
12 Digital Twin: Benefits, use cases, challenges, and opportunities Mohsen Attaran, Bilge Gokhan Çelik · Decision Analytics Journal Open access 21 Jan 2023 690
13 Definition methodology for the smart cities model George Cristian Lăzăroiu, Mariacristina Roscia · Energy 5 Oct 2012 678
14 A research framework of smart education Zhiting Zhu, Minghua Yu, Peter Riezebos · Smart Learning Environments Open access 30 Mar 2016 664
15 Personalized education and Artificial Intelligence in the United States, China, and India: A systematic review using a Human-In-The-Loop model Aditi Bhutoria · Computers and Education Artificial Intelligence ReviewOpen access 2022 663
16 Requirements for Education and Qualification of People in Industry 4.0 Andrea Benešová, Jiří Tupa · Procedia Manufacturing Open access 2017 653
17 Artificial intelligence in intelligent tutoring systems toward sustainable education: a systematic review Chien-Chang Lin, Anna Y.Q. Huang, Owen H.T. Lu · Smart Learning Environments ReviewOpen access 28 Aug 2023 633
18 Navigating the confluence of artificial intelligence and education for sustainable development in the era of industry 4.0: Challenges, opportunities, and ethical dimensions Ammar O. Abulibdeh, Esmat Zaidan, Rawan Abulibdeh · Journal of Cleaner Production Open access 2024 631
19 Artificial Intelligence in Education: AIEd for Personalised Learning Pathways Olga Tapalova, Nadezhda Zhiyenbayeva · The Electronic Journal of e-Learning Open access 9 Dec 2022 629
20 Higher education strategy in digital transformation Mohamed Ashmel Mohamed Hashim, Issam Tlemsani, Robin Matthews · Education and Information Technologies Open access 14 Sep 2021 566
21 Artificial Intelligence-Enabled Intelligent Assistant for Personalized and Adaptive Learning in Higher Education Ramteja Sajja, Yusuf Sermet, Muhammed Cikmaz et al. · Information Open access 30 Sep 2024 558
22 AI ‐driven adaptive learning for sustainable educational transformation Wadim Striełkowski, Veronika Mikhailovna Grebennikova, Alexander Lisovskiy et al. · Sustainable Development Open access 3 Oct 2024 546
23 Managing the Strategic Transformation of Higher Education through Artificial Intelligence Babu P GEORGE, Ontario S. Wooden · Administrative Sciences Open access 29 Aug 2023 533
24 Artificial Intelligence as Augmenting Automation: Implications for Employment Feichin Ted Tschang, Esteve Almirall · Academy of Management Perspectives 2 Sep 2020 405
25 The Model for Introduction of Gamification into E-learning in Higher Education Marko Urh, Goran Vukovič, Eva Jereb et al. · Procedia - Social and Behavioral Sciences Conference paperOpen access Jul 2015 395
26 Digital Twin for the Oil and Gas Industry: Overview, Research Trends, Opportunities, and Challenges Thumeera R. Wanasinghe, Leah Wroblewski, Búi K. Petersen et al. · IEEE Access Open access 2020 381
27 Society 5.0: A Japanese Concept for a Superintelligent Society Carolina Narvaez Rojas, Gustavo Alomía, Diego Fernando Loaiza et al. · Sustainability Open access 9 Jun 2021 376
28 Higher Education Future in the Era of Digital Transformation Mohammed Akour, Mamdouh S. Alenezi · Education Sciences Open access 4 Nov 2022 368
29 A critical evaluation, challenges, and future perspectives of using artificial intelligence and emerging technologies in smart classrooms Eleni A. Dimitriadou, Andreas Lanitis · Smart Learning Environments Open access 6 Feb 2023 355
30 Generative artificial intelligence empowers educational reform: current status, issues, and prospects Hao Yu, Yunyun Guo · Frontiers in Education Open access Jun 2023 347
31 Exploring the Impact of Artificial Intelligence in Teaching and Learning of Science: A Systematic Review of Empirical Research Firas Almasri · Research in Science Education ReviewOpen access 27 Jun 2024 322
32 Scientific production and thematic breakthroughs in smart learning environments: a bibliometric analysis Friday Joseph Agbo, Solomon Sunday Oyelere, Jarkko T Suhonen et al. · Smart Learning Environments Open access 15 Jan 2021 320
33 Systematic technology transfer from biology to engineering Julian F. V. Vincent, Darrell L. Mann · Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences 11 Jan 2002 311
34 Smart city based on digital twins LI Deren, Wenbo Yu, Zhenfeng Shao · Computational Urban Science Open access 28 Mar 2021 307
35 The Need of Integrating Digital Education in Higher Education: Challenges and Opportunities Mamdouh S. Alenezi, Saja Wardat, Mohammed Akour · Sustainability Open access 8 Mar 2023 303
36 Intelligent robotic control G.N. Saridis · IEEE Transactions on Automatic Control May 1983 300
37 Learning Technology Models that Support Personalization within Blended Learning Environments in Higher Education Hamdan Alamri, Sunnie Lee Watson, William R. Watson · TechTrends 31 Jul 2020 287
38 Adoption of virtual reality technology in higher education: An evaluation of five teaching semesters in a purpose-designed laboratory Benjy Marks, Jacqueline Thomas · Education and Information Technologies Open access 8 Jul 2021 283
39 Creativity support tools Ben Shneiderman · Communications of the ACM Oct 2002 270
40 Generative AI in Higher Education: Balancing Innovation and Integrity Nigel Francis, Sue Jones, David P. Smith · British Journal of Biomedical Science Open access 9 Jan 2025 263
41 Employing Adaptive Learning and Intelligent Tutoring Robots for Virtual Classrooms and Smart Campuses: Reforming Education in the Age of Artificial Intelligence Ashraf Alam · Lecture notes in electrical engineering Book chapter 2022 262
42 Will generative AI replace teachers in higher education? A study of teacher and student perceptions Cecilia Ka Yuk Chan, Louisa H.Y. Tsi · Studies In Educational Evaluation Open access 29 Aug 2024 252
43 A Scoping Review on Digital English and Education 4.0 for Industry 4.0 Anandhan Hariharasudan, Sebastian Kot · Social Sciences Open access 9 Nov 2018 251
44 Collaborative Working and Critical Thinking: Adoption of Generative Artificial Intelligence Tools in Higher Education Lena Ivannova Ruiz-Rojas, Luis Salvador-Ullauri, Patricia Acosta-Vargas · Sustainability Open access 24 Jun 2024 250
45 From simple digital twin to complex digital twin Part I: A novel modeling method for multi-scale and multi-scenario digital twin Wenjie Jia, Wei Wang, Zhenzu Zhang · Advanced Engineering Informatics Aug 2022 250
46 Deep Dive into Digital Transformation in Higher Education Institutions Mamdouh S. Alenezi · Education Sciences Open access 29 Nov 2021 243
47 Robot will take your job: Innovation for an era of artificial intelligence Giselle Rampersad · Journal of Business Research Open access 22 May 2020 237
48 A Requirements Driven Digital Twin Framework: Specification and Opportunities James R. Moyne, Yassine Qamsane, Efe C. Balta et al. · IEEE Access Open access 2020 227
49 Artificial intelligence prompt engineering as a new digital competence: Analysis of generative AI technologies such as ChatGPT Paweł Korzyński, Grzegorz Mazurek, Pamela Krzypkowska et al. · Entrepreneurial Business and Economics Review Open access 2023 225
50 Virtual Laboratory: A Boon to the Mechanical Engineering Education During Covid-19 Pandemic N. Kapilan, P.M. Vidhya, Xiao‐Zhi Gao · Higher Education for the Future Open access Dec 2020 222

Citations are OpenAlex's own counts, from its 2026-09-23 snapshot, so the ranking can differ from Google Scholar or Web of Science. A paper is listed for a field when OpenAlex files it under one of the field's topics; retracted papers and papers whose citation count cannot be traced to citing works are left out, and a preprint and the article it became are shown once. Release dates are OpenAlex's: where a source gave only a month or a year, that is what is shown. How the lists are chosen.