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Emerging Trends and Hot Topics in Digital Twin Research Globally: A CiteSpace Knowledge Graph Analysis
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摘要: 为较全面的了解国内外数字孪生领域的研究现状、热点与演进趋势，基于文献计量学，将CNKI与Web of Science数据库作为数据源，运用CiteSpace构建国内外数字孪生领域知识图谱并分析其优势、不足及未来趋势，最后结合分析结果与相关文献提出展望。结果表明：1）国内外数字孪生研究热度不断攀升，发文量处于持续上升期。2）目前国内外数字孪生领域核心作者群均尚未形成，国外研究机构合作率相对国内来说更高，但国内研究机构类型相对国外更加广泛，我国在数字孪生研究领域发文量已具有明显优势，但影响力有待提高。3）国内外数字孪生领域研究前沿有一定相似性，研究热点集中于智能制造领域应用、关键技术探索及数字孪生在其他领域的智能应用。Abstract: This study aims to comprehensively assess the status, emerging trends, and hotspots in digital twin research globally, using bibliometric analysis with data sourced from CNKI and Web of Science databases. Through CiteSpace, a knowledge graph of digital twin research both domestically and internationally was constructed to evaluate its strengths, weaknesses, and future directions. The findings indicate: 1) an increasing interest in digital twin research globally, with a consistent rise in publication numbers. 2) Currently, there is no prominent core group of authors in the digital twin domain, either in China or internationally. Collaboration rates among research institutions are higher internationally compared to domestic collaborations in China, though Chinese institutions display greater diversity. While China leads in publication quantity in this field, its global influence requires enhancement. 3) The research frontiers in digital twin studies show similarities worldwide, focusing mainly on applications in intelligent manufacturing, exploration of key technologies, and the intelligent application of digital twins across various domains.
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Key words:
- metrology /
- digital twin /
- knowledge graph /
- research trends /
- emerging topics
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图 1 CNKI和WOS中数字孪生领域年发文量变化
Figure 1. Annual publication trends in digital twin research in CNKI and WOS
图 2 CNKI数字孪生研究作者合作网络图谱
Figure 2. Author collaboration network in CNKI's digital twin research
图 3 WOS数字孪生研究作者合作网络图谱
Figure 3. Author collaboration network in WOS's digital twin research
图 4 CNKI数字孪生研究机构合作网络图谱
Figure 4. Institutional collaboration network in CNKI's digital twin research
图 5 WOS数字孪生研究机构合作网络图谱
Figure 5. Institutional collaboration network in WOS's digital twin research
图 7 CNKI数字孪生研究关键词时间线聚类图谱
Figure 7. Timeline cluster graph of keywords in CNKI's digital twin research
图 8 WOS数字孪生研究关键词时间线聚类图谱
Figure 8. Timeline cluster graph of keywords in WOS's digital twin research
表 1 数字孪生研究领域发文量前10国家
Table 1. Top 10 countries by publication count in digital twin research
序号 国家 发文量（篇） 中心性 1 PEOPLES R CHINA（中国） 908 0.09 2 USA（美国） 412 0.15 3 GERMANY（德国） 273 0.05 4 ENGLAND（英国） 240 0.29 5 ITALY（意大利） 207 0.05 6 SPAIN（西班牙） 146 0.09 7 SOUTH KOREA（韩国） 135 0.02 8 FRANCE（法国） 109 0.23 9 AUSTRALIA（澳大利亚） 102 0.03 10 SWEDEN（瑞典） 96 0.03 
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表 2 CNKI数字孪生研究突现词top12
Table 2. Top 12 emerging terms in CNKI's digital twin research
突现词 开始时间 结束时间 强度 2017 - 2022 数字孪生车间 2017 2018 1.77 
数据融合 2017 2018 1.41 
油气管道 2018 2020 1.55 
创新设计 2019 2020 1.98 
五维模型 2019 2021 1.29 
教育应用 2019 2021 1.63 
数据驱动 2020 2021 1.06 
人工智能 2020 2022 2.58 
物联网 2020 2022 1.69 
智能船舶 2020 2022 1.08 
关键技术 2021 2022 1.72 
机器学习 2021 2022 2.33 
城市治理 2021 2022 1.94 
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表 3 WOS数字孪生研究突现词top12
Table 3. Top 12 emerging terms in WOS's digital twin research
突现词 开始时间 结束时间 强度 2017 - 2022 industry 4.0 2017 2020 6.56 
smart manufacturing 2017 2019 5.23 
big data 2017 2019 4.34 
cyber physical systems 2017 2020 3.96 
architecture 2018 2019 4.64 
cloud manufacturing 2018 2019 3.87 
genetic algorithm 2019 2020 4.12 
circular economy 2019 2022 3.47 
sustainable manufacturing 2019 2020 2.96 
mass customization 2020 2022 2.65 
data analysis 2020 2022 2.43 
asset management 2020 2022 2.36 
condition based maintenance 2020 2022 2.36 
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