Unveiling the Thematic Landscape of Generative Pre-trained Transformer (GPT) Through Bibliometric Analysis

Research article (Metaverse Basic and Applied Research, 2023) · cited 41× · AI/ML
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Unveiling the Thematic Landscape of Generative Pre-trained Transformer (GPT) Through Bibliometric Analysis

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Unveiling the Thematic Landscape of Generative Pre-trained Transformer (GPT) Through Bibliometric Analysis is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Unveiling the Thematic Landscape of Generative Pre-trained Transformer (GPT) Through Bibliometric Analysis. Retrieved May 24, 2026, from https://4ort.xyz/entity/unveiling-the-thematic-landscape-of-generative-pre-trained-transformer-gpt-through-bibliometric-analysis
MLA “Unveiling the Thematic Landscape of Generative Pre-trained Transformer (GPT) Through Bibliometric Analysis.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/unveiling-the-thematic-landscape-of-generative-pre-trained-transformer-gpt-through-bibliometric-analysis.
BibTeX @misc{4ortxyz_unveiling-the-thematic-landscape-of-generative-pre-trained-transformer-gpt-through-bibliometric-analysis_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Unveiling the Thematic Landscape of Generative Pre-trained Transformer (GPT) Through Bibliometric Analysis}}, year = {2026}, url = {https://4ort.xyz/entity/unveiling-the-thematic-landscape-of-generative-pre-trained-transformer-gpt-through-bibliometric-analysis}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Unveiling the Thematic Landscape of Generative Pre-trained Transformer (GPT) Through Bibliometric Analysis — https://4ort.xyz/entity/unveiling-the-thematic-landscape-of-generative-pre-trained-transformer-gpt-through-bibliometric-analysis (retrieved 2026-05-24)

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