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学者姓名：李欣
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Abstract ：
With rapid developments in science and technology, knowledge transfer from science to technology and technology convergence from different fields are accelerating. Technology convergence has become a main source of disruptive technologies (DTs). To facilitate enterprise R&D strategic decision-making and government innovation policies formulation, it is necessary to quantify the convergence processes of DTs and understand the DTs' emergence characteristics from science to technology. Existing research on technology convergence measurement mainly used patent citation information, patent co-classification analysis, and text mining. However, since these studies have limited analysis of the sources and causes of technology convergence from the perspective of knowledge memes, resulting in insufficient revelation of the processes and characteristics of DTs' emergence. Knowledge meme theory helps to reveal the relationships between knowledge diffusion, knowledge convergence, and technology convergence. Therefore, in this paper, we proposed a research framework for quantifying the convergence of DTs from science to technology. In this framework, we analyzed the knowledge diffusion and technology convergence of DTs from science to technology based on knowledge meme theory. We also integrated patent citation analysis, text mining, and cascade network models to quantitatively measure knowledge diffusion and technology convergence characteristics. We tried to understand the generation mechanisms of DTs from the perspective of technology convergence. We took smartphones as a case study to verify the framework's validity and flexibility. This paper provides a novel approach for quantifying the convergence of DTs from science to technology, which can help us to understand the emergence and development trends of DTs. This paper will also be of interest to smartphone technology R&D experts.
Keyword ：
Knowledge meme Knowledge meme Technology convergence Technology convergence Knowledge convergence Knowledge convergence Smartphone technology Smartphone technology Disruptive technology Disruptive technology
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| GB/T 7714 | Li, Xin , Wang, Yan . A novel integrated approach for quantifying the convergence of disruptive technologies from science to technology [J]. | TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE , 2024 , 209 . |
| MLA | Li, Xin 等. "A novel integrated approach for quantifying the convergence of disruptive technologies from science to technology" . | TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE 209 (2024) . |
| APA | Li, Xin , Wang, Yan . A novel integrated approach for quantifying the convergence of disruptive technologies from science to technology . | TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE , 2024 , 209 . |
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Abstract ：
In the context of carbon neutrality, carbon-negative technology is considered a crucial technology for reducing carbon emissions and achieving carbon neutrality. Carbon-negative technology has gained attention from governments, businesses and academia. To comprehend the overall development status of carbon-negative technology, including the core technologies, the patent landscape, competition, and cooperation among major countries and regions, this paper proposes an analytical framework for the patent landscape of carbon-negative technology. The research results demonstrate the rapid overall development of carbon-negative technology. The R&D strategies of major competing countries in the field of carbon-negative technology focus on specific technology areas, and their core technologies exhibit similarities as well as differences. In the field of technology- based solutions, the United States and China dominate with their leaders and active contributors in various technology domains. The collaboration largely revolves around the United States, while other nations engage in less partnership and interaction. Countries have not yet established technological leadership in carbon sinks technology, and the cooperation network is relatively limited. These findings contribute to our understanding of the current global development status of carbon-negative technology, as well as the competitive levels and positions of major countries in this field. These findings also provide a decision-making basis and support for the development of carbon-negative technology.
Keyword ：
Carbon neutral Carbon neutral Patent landscape analysis Patent landscape analysis Carbon-negative technology Carbon-negative technology Technology trends Technology trends Technological competition situations Technological competition situations
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| GB/T 7714 | Li, Xin , Gao, Ning , Yuan, Fei et al. The development trends, technological competition situations and cooperation status of carbon-negative technology: A patent landscape analysis [J]. | JOURNAL OF CO2 UTILIZATION , 2024 , 89 . |
| MLA | Li, Xin et al. "The development trends, technological competition situations and cooperation status of carbon-negative technology: A patent landscape analysis" . | JOURNAL OF CO2 UTILIZATION 89 (2024) . |
| APA | Li, Xin , Gao, Ning , Yuan, Fei , Huang, Lucheng . The development trends, technological competition situations and cooperation status of carbon-negative technology: A patent landscape analysis . | JOURNAL OF CO2 UTILIZATION , 2024 , 89 . |
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Abstract ：
Breakthrough research may signal shifts in science, technology, and innovation systems. Early identification of breakthrough research is important not only for scientists, but also for policy makers and R&D experts in developing R&D strategies and allocating R&D resources. Researchers mostly use scientific papers data to identify potential breakthrough research, but they rarely make use of Twitter data related to scientific research and machine learning methods. Analysis of Twitter data is of great significance for us to understand the public's perception of potential breakthrough research and to identify potential breakthrough research. Machine learning methods can assist us in predicting the trend of events by utilizing prior knowledge and experience. Therefore, this paper proposes a framework for identifying potential breakthrough research using machine learning methods with scientific papers and Twitter data. We select solar cells as a case study to verify the valid and flexible of this framework. In this case, we use machine learning method to discover potential breakthrough research from scientific papers, and we use Twitter data mining to analyze Twitter users' sense of and response to the discovered potential breakthrough research, which aims to achieve a more extensive and diverse assessment of the discovered potential breakthrough research. This paper contributes to identifying potential breakthrough research, as well as understanding the emergence and development of breakthrough research. It will be of interest to R&D experts in the field of solar cell technology.
Keyword ：
Breakthrough research Breakthrough research Solar cell technology Solar cell technology Topic model Topic model Machine learning Machine learning Twitter data mining Twitter data mining
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| GB/T 7714 | Li, Xin , Wen, Yang , Jiang, Jiaojiao et al. Identifying potential breakthrough research: A machine learning method using scientific papers and Twitter data [J]. | TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE , 2022 , 184 . |
| MLA | Li, Xin et al. "Identifying potential breakthrough research: A machine learning method using scientific papers and Twitter data" . | TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE 184 (2022) . |
| APA | Li, Xin , Wen, Yang , Jiang, Jiaojiao , Daim, Tugrul , Huang, Lucheng . Identifying potential breakthrough research: A machine learning method using scientific papers and Twitter data . | TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE , 2022 , 184 . |
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Abstract ：
How to understand the innovation pathways of emerging technologies emerge from technology to market and identifing the future changes and trends in innovation pathways is crucial for enterprises' research and development (R&D) strategic planning, and new production development decision making. The technology roadmapping (TRM) is considered as an effective method to study innovation pathways, and provides a structured approach to map how emerging technologies have evolved from technology to market, and visualize the development relationships among markets, products, and technologies. However, the traditional TRM methods to visualize the innovation pathways, and identify the relationships among markets, products, and technologies mainly relied on experts' opinions, which are considered as time consuming and costly. The technology-relationship-technology (TRT) semantic analysis can semiautomatically extract technology information and the relationships among products, functions, and technologies from patents, which can significantly reduce the bias due to using experts' opinions that are based on intuitive knowledge when roadmapping the innovation pathways from technology to market activities. Therefore, this article integrates TRT semantic analysis and TRM method to propose a framework for monitoring the innovation pathways of emerging technologies and identifying future changes and trends in innovation pathways of emerging technologies. In this framework, first, we use the TRT semantic analysis to extract the TRT structures containing various structural relationships from the patents, and determine the analytical dimensions of TRM based on the TRT structures' characteristics and experts' knowledge. Second, we analyze the various structural relationships in-depth to explore their particular contributions in the process of TRM construction, and construct the technology roadmap to monitor the innovation pathways. Finally, after completing the construction of the TRT-based technology roadmap, we in-depth analyze the technology, function, product evolution paths in the TRM to identify the future changes and trends in innovation pathways with the help of domain experts. To illustrate the implementation of the research framework, we employ the elderly smart wear technology as the case study. This article will contribute to the TRM methodology, and will be of interest to elderly smart wear technology R&D experts and new production development experts.
Keyword ：
Senior citizens Senior citizens technology-relationship-technology (TRT) technology-relationship-technology (TRT) Innovation pathways Innovation pathways Transmission line measurements Transmission line measurements Text mining Text mining Market research Market research technology roadmap- ping (TRM) technology roadmap- ping (TRM) text mining text mining Semantics Semantics elderly smart wear elderly smart wear Technological innovation Technological innovation Patents Patents
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| GB/T 7714 | Miao, Hong , Wang, Yan , Li, Xin et al. Integrating Technology-Relationship-Technology Semantic Analysis and Technology Roadmapping Method: A Case of Elderly Smart Wear Technology [J]. | IEEE TRANSACTIONS ON ENGINEERING MANAGEMENT , 2022 , 69 (1) : 262-278 . |
| MLA | Miao, Hong et al. "Integrating Technology-Relationship-Technology Semantic Analysis and Technology Roadmapping Method: A Case of Elderly Smart Wear Technology" . | IEEE TRANSACTIONS ON ENGINEERING MANAGEMENT 69 . 1 (2022) : 262-278 . |
| APA | Miao, Hong , Wang, Yan , Li, Xin , Wu, Feifei . Integrating Technology-Relationship-Technology Semantic Analysis and Technology Roadmapping Method: A Case of Elderly Smart Wear Technology . | IEEE TRANSACTIONS ON ENGINEERING MANAGEMENT , 2022 , 69 (1) , 262-278 . |
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Abstract ：
Identifying the development trends of emerging technologies with disruptive potential as early as possible is crucial for enterprise research and development (R&D) investment planning and government R&D strategic planning. Many researchers have used academic papers and patent data to identify trends in emerging technologies, although they rarely have made use of web news data focused on emerging technologies. Web news contains a large amount of social awareness data that represents the public's sense of and response to emerging technologies, and the social awareness data is of great significance for identifying the development trends of emerging technologies. Therefore, this article presented a research framework to identify the development trends of emerging technologies using patent analysis and web news data mining. In the research framework, first, we have used patent analysis to analyze the evolution topics of these emerging technologies, and have applied the topic model to study the changing patterns of publics' topics of concern regarding emerging technologies contained in web news. Second, we have made a comparison analysis of the results of patent analysis and the public' sense of and response to emerging technologies contained in web news. Then, we have applied an improved sentiment analysis to study the changing patterns of publics' expectations for emerging technologies contained in web news. Finally, by studying the changes in publics' topics of concern and publics' expectations for emerging technologies over time, we have identified the development trends of emerging technologies. The perovskite solar cells technology is used as a case study to analyze the effectiveness and feasibility of the framework. This article provides a new research perspective to identify technology trends, and contribute to the technology forecasting methodology.
Keyword ：
social awareness social awareness perovskite solar cells perovskite solar cells patent analysis patent analysis technology forecasting technology forecasting web news web news Emerging technologies Emerging technologies
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| GB/T 7714 | Li, Xin , Xie, Qianqian , Huang, Lucheng . Identifying the Development Trends of Emerging Technologies Using Patent Analysis and Web News Data Mining: The Case of Perovskite Solar Cell Technology [J]. | IEEE TRANSACTIONS ON ENGINEERING MANAGEMENT , 2022 , 69 (6) : 2603-2618 . |
| MLA | Li, Xin et al. "Identifying the Development Trends of Emerging Technologies Using Patent Analysis and Web News Data Mining: The Case of Perovskite Solar Cell Technology" . | IEEE TRANSACTIONS ON ENGINEERING MANAGEMENT 69 . 6 (2022) : 2603-2618 . |
| APA | Li, Xin , Xie, Qianqian , Huang, Lucheng . Identifying the Development Trends of Emerging Technologies Using Patent Analysis and Web News Data Mining: The Case of Perovskite Solar Cell Technology . | IEEE TRANSACTIONS ON ENGINEERING MANAGEMENT , 2022 , 69 (6) , 2603-2618 . |
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Abstract ：
Digital twin is increasingly prominent for realizing the digital and intelligent transformation of various industries as an emerging technological means to connect the physical and virtual world. While there has been a recent growth of interest in digital twin in industry, finance, and academia, most relevant studies lack a systematic analysis of the status quo, development trends, and technological competition situations for digital twin. In this article, we used bibliometrics and patent analysis to conduct comprehensive and in-depth research of digital twin by reviewing the current status of academic research and technological development, distribution of countries and institutions, and technological competition situations. We found that academic research and technological development in digital twin are currently in the early stages of rapid growth, which is radiating from applications in smart manufacturing to other scenarios such as medical and health, smart cities, energy, transportation, public emergency, and agricultural food. Artificial intelligence technology, digital twin integrated architecture and system, intelligent real-time control have gradually become the key topics of academic research and technology research and development in the field of digital twin in recent years. The digital framework, sustainable digital twin, deep learning and neural network algorithms, and full lifecycle management have the potential to become technology development trends. USA and Germany are the technology leaders and occupy first-mover advantage at present, while China, the U.K., and South Korea are the powerful chasers in the future.
Keyword ：
Hidden Markov models Hidden Markov models Bibliometrics Bibliometrics Digital twin Digital twin evolutionary trends evolutionary trends competitive situation competitive situation Industries Industries Patents Patents Market research Market research digital twin digital twin patent analysis patent analysis Analytical models Analytical models Bibliometric analysis Bibliometric analysis
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| GB/T 7714 | Li, Xin , Shen, Yuanfei , Cheng, Haolun et al. Identifying the Development Trends and Technological Competition Situations for Digital Twin: A Bibliometric Overview and Patent Landscape Analysis [J]. | IEEE TRANSACTIONS ON ENGINEERING MANAGEMENT , 2022 , 71 : 1998-2021 . |
| MLA | Li, Xin et al. "Identifying the Development Trends and Technological Competition Situations for Digital Twin: A Bibliometric Overview and Patent Landscape Analysis" . | IEEE TRANSACTIONS ON ENGINEERING MANAGEMENT 71 (2022) : 1998-2021 . |
| APA | Li, Xin , Shen, Yuanfei , Cheng, Haolun , Yuan, Fei , Huang, Lucheng . Identifying the Development Trends and Technological Competition Situations for Digital Twin: A Bibliometric Overview and Patent Landscape Analysis . | IEEE TRANSACTIONS ON ENGINEERING MANAGEMENT , 2022 , 71 , 1998-2021 . |
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Abstract ：
As one of the strategic emerging industries, the new energy vehicle (NEV) industry receives strong support from the Chinese government. The Chinese government has formulated a large number of policies to promote the development of NEV industry. Evaluating and analyzing the NEV policies are of great significance for improving policy formulation. In this study, we comprehensively analyze 253 NEV policy texts by employing quantitative and qualitative methods. We present the policy instrument types and semantic structure characteristics of policy texts based on the content analysis. The advantages and disadvantages of policy texts are identified by using a quantitative evaluation model. Our results show that the most frequently used policy instrument is regulatory, and the main policy objective is the demand-pull. The policies with higher scores are more comprehensive. Three suggestions are put forward to improve NEV policies.
Keyword ：
Policy texts Policy texts New energy vehicle New energy vehicle Policy evaluation Policy evaluation
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| GB/T 7714 | Wang, Xiaoli , Huang, Lucheng , Daim, Tugrul et al. Evaluation of China's new energy vehicle policy texts with quantitative and qualitative analysis [J]. | TECHNOLOGY IN SOCIETY , 2021 , 67 . |
| MLA | Wang, Xiaoli et al. "Evaluation of China's new energy vehicle policy texts with quantitative and qualitative analysis" . | TECHNOLOGY IN SOCIETY 67 (2021) . |
| APA | Wang, Xiaoli , Huang, Lucheng , Daim, Tugrul , Li, Xin , Li, Zhiqiang . Evaluation of China's new energy vehicle policy texts with quantitative and qualitative analysis . | TECHNOLOGY IN SOCIETY , 2021 , 67 . |
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Abstract ：
Artificial intelligence (AI) technology is a new focus for international competition, with countries around the world accelerating major outlay to enhance their innovation competitiveness. Identifying the global situation of AI technology is a strategic issue for enterprises and countries. Considering current deficiencies in research directed towards this, the content for analysing technological competition situations should be determined from the two most relevant levels of: 1) technology's dimension; 2) research and development (R&D) actors' dimension, with time (T), market (M), technology (T) and subject (S) as its four elements. This paper, therefore, proposes an analytical framework of technological competition situation, based on the four dimensions of TMTS. AI technology is taken as an example to verify the feasibility and effectiveness of the analytical framework. This paper will contribute to our understanding of the global competitive situation of AI technology, and will be of interest to AI technology's R&D experts.
Keyword ：
artificial intelligence artificial intelligence four-dimensional analysis four-dimensional analysis competitive situation competitive situation patent analysis patent analysis
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| GB/T 7714 | Li, Xin , Fan, Mingjie , Liang, Zheng . Identifying technological competition situations for artificial intelligence technology - a patent landscape analysis [J]. | INTERNATIONAL JOURNAL OF TECHNOLOGY MANAGEMENT , 2020 , 82 (3-4) : 322-348 . |
| MLA | Li, Xin et al. "Identifying technological competition situations for artificial intelligence technology - a patent landscape analysis" . | INTERNATIONAL JOURNAL OF TECHNOLOGY MANAGEMENT 82 . 3-4 (2020) : 322-348 . |
| APA | Li, Xin , Fan, Mingjie , Liang, Zheng . Identifying technological competition situations for artificial intelligence technology - a patent landscape analysis . | INTERNATIONAL JOURNAL OF TECHNOLOGY MANAGEMENT , 2020 , 82 (3-4) , 322-348 . |
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Abstract ：
Monitoring the emergence of emerging technologies helps managers and decision makers to identify development trends in emerging technologies is crucial for government research and development (R&D), strategic planning, social investment, and enterprise practices. Researchers usually use academic papers and patent data to identify and monitoring the trends of emerging technologies from a technological perspective, but they rarely make use of social media data (e.g., such as Twitter data) related to emerging technologies. Analysis of this social media data is of great significance to understand the emergence of emerging technologies and gain insight into development trends. Therefore, this paper proposes a framework that uses patent analysis and Twitter data mining to monitoring the emergence of emerging technologies and identify changing trends of these emerging technologies. The perovskite solar cell technology is selected as a case study. In this case, we used patent analysis to monitoring the evolutionary path of perovskite solar cell technology. We applied Twitter data mining to analyze Twitter users' sense of, response to, and expectations for this perovskite solar cell technology. We also identified the professional types of Twitter users and examined changes in their topics of interest over time to track the emergence of perovskite solar cell technology. We analyzed a comparison of the results of patent analysis and Twitter data mining to identify development trends of perovskite solar cell technology. This paper contributes to our understanding of how technologies emerge and develop, as well as the technology forecasting and foresight methodology, and will be of interest to solar photovoltaic technology R&D experts.
Keyword ：
Twitter data mining Twitter data mining Technologies emerge Technologies emerge Patent analysis Patent analysis Perovskite solar cell technology Perovskite solar cell technology Technology trends Technology trends Emerging technologies Emerging technologies
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| GB/T 7714 | Li, Xin , Xie, Qianqian , Jiang, Jiaojiao et al. Identifying and monitoring the development trends of emerging technologies using patent analysis and Twitter data mining: The case of perovskite solar cell technology [J]. | TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE , 2019 , 146 : 687-705 . |
| MLA | Li, Xin et al. "Identifying and monitoring the development trends of emerging technologies using patent analysis and Twitter data mining: The case of perovskite solar cell technology" . | TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE 146 (2019) : 687-705 . |
| APA | Li, Xin , Xie, Qianqian , Jiang, Jiaojiao , Zhou, Yuan , Huang, Lucheng . Identifying and monitoring the development trends of emerging technologies using patent analysis and Twitter data mining: The case of perovskite solar cell technology . | TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE , 2019 , 146 , 687-705 . |
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Abstract ：
一种文本语义分析方法与系统，可实现对文本数据基于词汇层面、句子层面的语义分析。针对词汇层面的语义分析，本发明首先采用改进分词算法，解决英文仅以空格分词带来的不足；其次基于分词基础进行TF‑IDF建模，得到权重值；然后将权重值与Word2Vec训练得到的词向量进行加权求和将文本向量化，最后求解文档相似度。本发明同时考虑词汇对文档内容贡献度和语义地位计算文档相似度，结果具有更高准确度，为后续的文本聚类提供良好的基础。针对句子层面的语义分析，本发明以文本分词、词性标注、句法分析、依存关系为基础，进行主谓宾结构提取。本发明实现了全方面、多种句子类型的主谓宾结构提取，并实现了名词扩展功能，更符合人工提取结果。
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| GB/T 7714 | 谢前前 , 李欣 , 黄鲁成 . 文本语义分析方法 : CN201811012430.X[P]. | 2018-08-31 . |
| MLA | 谢前前 et al. "文本语义分析方法" : CN201811012430.X. | 2018-08-31 . |
| APA | 谢前前 , 李欣 , 黄鲁成 . 文本语义分析方法 : CN201811012430.X. | 2018-08-31 . |
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