Has China caught up to the US in AI research? An exploration of mimetic isomorphism as a model for late industrializers
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Abstract (arXiv)
Artificial Intelligence (AI), a cornerstone of 21st-century technology, has seen remarkable growth in China. In this paper, we examine China's AI development process, demonstrating that it is characterized by rapid learning and differentiation, surpassing the export-oriented growth propelled by Foreign Direct Investment seen in earlier Asian industrializers. Our data indicates that China currently leads the USA in the volume of AI-related research papers. However, when we delve into the quality of these papers based on specific metrics, the USA retains a slight edge. Nevertheless, the pace and scale of China's AI development remain noteworthy. We attribute China's accelerated AI progress to several factors, including global trends favoring open access to algorithms and research papers, contributions from China's broad diaspora and returnees, and relatively lax data protection policies. In the vein of our research, we have developed a novel measure for gauging China's imitation of US research. Our analysis shows that by 2018, the time lag between China and the USA in addressing AI research topics had evaporated. This finding suggests that China has effectively bridged a significant knowledge gap and could potentially be setting out on an independent research trajectory. While this study compares China and the USA exclusively, it's important to note that research collaborations between these two nations have resulted in more highly cited work than those produced by either country independently. This underscores the power of international cooperation in driving scientific progress in AI.
Key facts. Cited by 2 papers in the map (data through 7 Oct 2026). Builds on 8 of its 78 references that are in the map. First posted on arXiv 11 Jul 2023.
Builds on
8 of 78 references.
References · 8
- 2021The AI Index 2021 Annual Reportcited by 34
- 2020The Pace of Artificial Intelligence Innovations: Speed, Talent, and Trial-and-Errorcited by 13
- 2017Brain Intelligence: Go Beyond Artificial Intelligencecited by 9
- 2018International Research Collaboration: Novelty, Conventionality, and Atypicality in Knowledge Recombinationcited by 8
- 2023China and the U.S. produce more impactful AI research when collaborating togethercited by 6
- 2020Understanding Team Collaboration in Artificial Intelligence from the perspective of Geographic Distancecited by 2
- 2022Changes in co-publication patterns among China, the European Union (28) and the United States of America, 2016-2021cited by 1
- 2022A discussion of measuring the top-1 percent most-highly cited publications: Quality and impact of Chinese paperscited by 1
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Citing papers per year: 2024: 2.
2 papers.
- 2024Rise of Generative Artificial Intelligence in Science30 Dec 2024
- 2024Cultural Bias in Explainable AI Research: A Systematic Analysis28 Feb 2024