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◇ Mendeley Data2026-08-03· Thematic map

Industrial and Manufacturing Generative AI: Bibliographic, Keyword, and Thematic Dataset (2022–2026)

Galina Ilieva, Yuliy Iliev

原始摘要(英文原文)· Original abstract
This second dataset version contains the data used for a PRISMA-guided bibliometric and abstract-level thematic review of applications of Generative Artificial Intelligence (GAI) in manufacturing and industrial contexts. Searches of Scopus, Web of Science, and the ACM Digital Library identified 492 records published between 2022 and 4 June 2026. After removing 119 duplicates, 373 records were screened, of which 121 were excluded, resulting in a final corpus of 252 peer-reviewed academic sources. The retained studies address learned generative models and their applications in generative design, large language models, diffusion models, generative adversarial networks, foundation models, retrieval-augmented generation, knowledge graphs, electronic design automation, additive manufacturing, materials discovery, smart manufacturing, robotics, digital twins, and human–AI collaboration.
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Industrial and Manufacturing Generative AI: Bibliographic, Keyword, and Thematic Dataset (2022–2026) — 科研速览 Science Skim