ArticlePloS one2021
Mapping technological innovation dynamics in artificial intelligence domains: Evidence from a global patent analysis.
Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
8 citing papers in PubMed.
- Knowledge stickiness and technological concentration in the AI industry: an empirical study of Chinese cities.Scientific reports · 2026Article
- Knowledge flows from science to AI technology: Identifying core and brokerage technological roles.PloS one · 2026Article
- Technological impact, generality, and complementarity of artificial intelligence patents: Evidence from Samsung Electronics.PloS one · 2026Article
- With whom should I work? Partners' network characteristics and innovation persistence.Heliyon · 2024Article
- The development status and future trends of lubricant additives technology: Based on patents analysis.PloS one · 2024Article
- An ensemble approach for research article classification: a case study in artificial intelligence.PeerJ. Computer science · 2024Article
- Article
- Identification of technology frontiers of artificial intelligence-assisted pathology based on patent citation network.PloS one · 2022Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
Artificial intelligence (AI) is emerging as a technology at the center of many political, economic, and societal debates. This paper formulates a new AI patent search strategy and applies this to provide a landscape analysis of AI innovation dynamics and technology evolution. The paper uses patent analyses, network analyses, and source path link count algorithms to examine AI spatial and temporal trends, cooperation features, cross-organization knowledge flow and technological routes. Results indicate a growing yet concentrated, non-collaborative and multi-path development and protection profile for AI patenting, with cross-organization knowledge flows based mainly on interorganizational knowledge citation links.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.