The DOI matches its Crossref record; 98 of the 98 references it cites were found in a registry or an index.
Emerging Enabling Technologies for Industry 4.0 and Beyond
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“While the I4.0 paradigm is still gaining momentum, further evolution leveraging on additional set of emerging enabling technologies [5] and enhancing solutions by combining current enabling technologies goes beyond technology-driven production efficiency accomplishing merely economic goals, and extends to broader societal significance in an attempt to achieve resilient, sustainable and human-or”
From SCADA Systems With Focus on Continuous Manufacturing and Steel Industry: A Survey on Architectures, Standards, Challenges and Industry 5.0 (2022) · cites this paper as [5]
Citations
Cites
I.—COMPUTING MACHINERY AND INTELLIGENCE
TURING, A. M. (1950) · Mind · doi:10.1093/mind/lix.236.433 · Cited by 10,290 · cited 1×
“Turing’s paper “Computing Machinery and Intel-ligence” (Turing, 1950), and its subsequent Turing Test, established the fundamental goal and vision of artificial intelligence.”
A Vision of 6G Wireless Systems: Applications, Trends, Technologies, and Open Research Problems
Saad, W., Bennis, M., & Chen, M. (2020) · IEEE Network · doi:10.1109/mnet.001.1900287 · Cited by 4,985
Industry 4.0: state of the art and future trends
Xu, L. D., Xu, E. L., & Li, L. (2018) · International Journal of Production Research · doi:10.1080/00207543.2018.1444806 · Cited by 3,405
Self-citation6G Wireless Networks: Vision, Requirements, Architecture, and Key Technologies
Zhang, Z., Xiao, Y., Ma, Z., Xiao, M., Ding, Z., Lei, X., Karagiannidis, G. K., & Fan, P. (2019) · IEEE Vehicular Technology Magazine · doi:10.1109/mvt.2019.2921208 · Cited by 2,575
Chowdhury, M. Z., Shahjalal, M. A., Ahmed, S., & Jang, Y. M. (2020) · IEEE Open Journal of the Communications Society · doi:10.1109/ojcoms.2020.3010270 · Cited by 1,925
The Road Towards 6G: A Comprehensive Survey
Jiang, W., Han, B., Habibi, M. A., & Schotten, H. D. (2021) · IEEE Open Journal of the Communications Society · doi:10.1109/ojcoms.2021.3057679 · Cited by 1,757
Study on artificial intelligence: The state of the art and future prospects
Zhang, C., & Lu, Y. (2021) · Journal of Industrial Information Integration · doi:10.1016/j.jii.2021.100224 · Cited by 1,369
China's manufacturing locus in 2025: With a comparison of “Made-in-China 2025” and “Industry 4.0”
Li, L. (2017) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2017.05.028 · Cited by 1,079
Industrial artificial intelligence for industry 4.0-based manufacturing systems
Lee, J., Davari, H., Singh, J., & Pandhare, V. (2018) · Manufacturing Letters · doi:10.1016/j.mfglet.2018.09.002 · Cited by 870
Industrial Artificial Intelligence in Industry 4.0 - Systematic Review, Challenges and Outlook
Peres, R. S., Jia, X., Lee, J., Sun, K., Colombo, A. W., & Barata, J. (2020) · IEEE Access · doi:10.1109/access.2020.3042874 · Cited by 820
Research works printed but not linked: 5
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- Intel. (2021). Intel debuts 2nd-Gen Horse Ridge cryogenic quantum control chip. https://www.intc.com/news-events/press-releases/detail/1429/intel-debuts-2nd-gen-horse-ridge-cryogenic-quantum-control. Accessed 7 Dec 2021
- Masahiro, T. (2021). Future of quantum ICT and its impact on our social life. NICT News, 486(2), 1–3.
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Cited by
Sorted by citations
Industry 5.0: Prospect and retrospect
Leng, J., Sha, W., Wang, B., Zheng, P., Zhuang, C., Liu, Q., Wuest, T., Mourtzis, D., & Wang, L. (2022) · Journal of Manufacturing Systems · doi:10.1016/j.jmsy.2022.09.017 · Cited by 1,401
Reskilling and Upskilling the Future-ready Workforce for Industry 4.0 and Beyond
Li, L. (2022) · Information Systems Frontiers · doi:10.1007/s10796-022-10308-y · Cited by 931
AI governance: themes, knowledge gaps and future agendas
Birkstedt, T., Minkkinen, M., Tandon, A., & Mäntymäki, M. (2023) · Internet Research · doi:10.1108/intr-01-2022-0042 · Cited by 469
A Survey on Deep Reinforcement Learning Algorithms for Robotic Manipulation
Han, D., Mulyana, B., Stankovic, V., & Cheng, S. (2023) · Sensors · doi:10.3390/s23073762 · Cited by 253
Natural resource consumption and industrial green transformation: Does the digital economy matter?
Ran, Q., Yang, X., Yan, H., Xu, Y., & Cao, J. (2023) · Resources Policy · doi:10.1016/j.resourpol.2023.103396 · Cited by 214
Metadata
- Authors
- Sigov, A., Ratkin, L., Ivanov, L. A., & Xu, L. D.
- Affiliations
- Old Dominion University (US)
- Russian Academy of Sciences (RU)
- Russian Engineering Academy (RU)
- Corresponding author
- Sigov, Alexander
- Ratkin, Leonid
- Ivanov, Leonid A.
- Venue
- Information Systems Frontiers
- Published
- 2022-01-10
- Volume
- 26
- Issue
- 5
- Pages
- 1585-1595
- ISSN
- 1387-3326 (ISSN-L)
- 1572-9419
- OpenAlex
- W4205584165
- Cited by
- 234
- References
- 98
- Citations by year
- 2026: 32 · 2025: 41 · 2024: 74 · 2023: 54 · 2022: 33
- FWCI
- 23.17
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- Information Systems Frontiers (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Topics
- Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Digital Transformation in Industry
- Social Sciences › Decision Sciences › Management Science and Operations Research › Impact of AI and Big Data on Business and Society
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Advanced Data and IoT Technologies
- Keywords
- Industry 4.0, Industry 5.0, enabling technologies, artificial intelligence, 5G/6G networks, quantum computing, cyber-physical systems, Internet of Things, manufacturing industry, technological evolution
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