» Articles » PMID: 34972173

Mapping Technological Innovation Dynamics in Artificial Intelligence Domains: Evidence from a Global Patent Analysis

Overview
Journal PLoS One
Date 2021 Dec 31
PMID 34972173
Citations 4
Authors
Affiliations
Soon will be listed here.
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.

Citing Articles

An ensemble approach for research article classification: a case study in artificial intelligence.

Lu M, Tang L, Zhou X PeerJ Comput Sci. 2025; 10:e2521.

PMID: 39896384 PMC: 11784741. DOI: 10.7717/peerj-cs.2521.


With whom should I work? Partners' network characteristics and innovation persistence.

Ji J Heliyon. 2024; 10(13):e33966.

PMID: 39055822 PMC: 11269875. DOI: 10.1016/j.heliyon.2024.e33966.


The development status and future trends of lubricant additives technology: Based on patents analysis.

Wang M, He H, Fang X, Li H PLoS One. 2024; 19(6):e0304888.

PMID: 38829871 PMC: 11146714. DOI: 10.1371/journal.pone.0304888.


Analysis of international competitive situation of key core technology in strategic emerging industries: New generation of information technology industry as an example.

Wang F, Huang Z PLoS One. 2023; 18(6):e0287034.

PMID: 37319134 PMC: 10270364. DOI: 10.1371/journal.pone.0287034.


Identification of technology frontiers of artificial intelligence-assisted pathology based on patent citation network.

Zhang T, Chen J, Lu Y, Yang X, Ouyang Z PLoS One. 2022; 17(8):e0273355.

PMID: 35994484 PMC: 9394838. DOI: 10.1371/journal.pone.0273355.

References
1.
OMeara S . Will China lead the world in AI by 2030?. Nature. 2019; 572(7770):427-428. DOI: 10.1038/d41586-019-02360-7. View

2.
Jiang F, Jiang Y, Zhi H, Dong Y, Li H, Ma S . Artificial intelligence in healthcare: past, present and future. Stroke Vasc Neurol. 2018; 2(4):230-243. PMC: 5829945. DOI: 10.1136/svn-2017-000101. View

3.
Liu N, Shapira P, Yue X . Tracking developments in artificial intelligence research: constructing and applying a new search strategy. Scientometrics. 2021; 126(4):3153-3192. PMC: 8550099. DOI: 10.1007/s11192-021-03868-4. View

4.
Shapira P, Kwon S, Youtie J . Tracking the emergence of synthetic biology. Scientometrics. 2017; 112(3):1439-1469. PMC: 5533824. DOI: 10.1007/s11192-017-2452-5. View

5.
Merton R . The Matthew effect in science. The reward and communication systems of science are considered. Science. 1968; 159(3810):56-63. View