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学者姓名:李欣
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摘要 :
Breakthrough research is groundbreaking and transformative scientific research that can lead to new frontiers and even trigger substantial changes in the scientific paradigm. Early identification of breakthrough research is crucial for scientists, R&D experts, and policymakers. "Sleeping Beauty in Science" is a category of papers characterized as "delayed recognition", which is considered as the crucial carriers of breakthrough research. Machine learning methods can extract and learn high-quality information from a priori knowledge to predict future trends. In this paper, to address the shortcomings of existing studies on the early identification of breakthrough research, we propose a framework for identifying breakthrough research from sleeping beauties using machine learning. In this framework, we first construct machine learning models to obtain the relationship patterns between historical sleeping beauties and their citation trends. Then, we use these relational patterns to identify potential sleeping beauties. Secondly, we construct a breakthrough index based on the essential features of breakthrough research, then we apply it to identify breakthrough research among potential sleeping beauties, enabling the early identification of breakthrough research. Finally, an empirical study is conducted in the chemistry research field to verify the validity and flexibility of this framework. The results show that the framework can effectively identify breakthrough research from sleeping beauties. This paper contributes to the early identification of breakthrough research, evaluating academic results, and exploring research frontiers. Additionally, it will also provide methodological support for the decision-making of R&D experts and policymakers.
关键词 :
Delayed recognition Delayed recognition Early identification Early identification Breakthrough research Breakthrough research Sleeping beauties Sleeping beauties Machine learning Machine learning
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GB/T 7714 | Li, Xin , Ma, Xiaodi , Feng, Ye . Early identification of breakthrough research from sleeping beauties using machine learning [J]. | JOURNAL OF INFORMETRICS , 2024 , 18 (2) . |
MLA | Li, Xin 等. "Early identification of breakthrough research from sleeping beauties using machine learning" . | JOURNAL OF INFORMETRICS 18 . 2 (2024) . |
APA | Li, Xin , Ma, Xiaodi , Feng, Ye . Early identification of breakthrough research from sleeping beauties using machine learning . | JOURNAL OF INFORMETRICS , 2024 , 18 (2) . |
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摘要 :
With the rapid developments in science and technology, technologies from various fields are increasingly converging. Technology convergence has become a primary source of disruptive technologies (DTs). Revealing the mechanisms of technology convergence in DTs and identifying their evolutionary pathways and trends are of great significance for the enterprise's R&D strategic decision-making and the government's innovation policy formulation. Previous studies on the evolutionary pathways of technology convergence have mainly relied on citation information and International Patent Classification (IPC) coclassification analysis. However, measuring technology convergence using patent citation information has a time lag, and patent IPC codes fail to capture microtechnological changes. Moreover, technology roadmapping (TRM) is widely recognized as a valuable method for studying evolutionary pathways and offering a systematic approach to mapping the evolution of functions or performance in DTs. However, existing TRM methods have mainly relied on expert opinion, which is a time-consuming and costly approach. Therefore, in this article, we integrated patent coclassification analysis, subject-action-object-prepositional phrase semantic analysis, and TRM to propose a framework for monitoring DTs' evolutionary pathways, revealing the technology convergence characteristics of DTs and identifying their trends. We employed smartphones as a case study to demonstrate the validity and flexibility of this framework. This article provides a novel approach for roadmapping DTs' evolutionary pathways and reveals the technology convergence characteristics in the emergence of DTs, thereby aiding the comprehension of DTs' emergence and development trends. This article also will be of interest to experts in smartphone technology R&D.
关键词 :
Market research Market research technology roadmapping (TRM) technology roadmapping (TRM) Patents Patents Convergence Convergence Smart phones Smart phones Transmission line measurements Transmission line measurements Disruptive technology (DT) Disruptive technology (DT) evolutionary pathways evolutionary pathways smartphone technology smartphone technology Technological innovation Technological innovation Text mining Text mining technology convergence technology convergence
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GB/T 7714 | Li, Xin , Wang, Yan , Huang, Lucheng et al. A Novel Integrated Approach for Roadmapping Disruptive Technologies From a Technology Convergence Perspective [J]. | IEEE TRANSACTIONS ON ENGINEERING MANAGEMENT , 2024 , 71 : 8651-8670 . |
MLA | Li, Xin et al. "A Novel Integrated Approach for Roadmapping Disruptive Technologies From a Technology Convergence Perspective" . | IEEE TRANSACTIONS ON ENGINEERING MANAGEMENT 71 (2024) : 8651-8670 . |
APA | Li, Xin , Wang, Yan , Huang, Lucheng , Gao, Ning , Huang, Xingde . A Novel Integrated Approach for Roadmapping Disruptive Technologies From a Technology Convergence Perspective . | IEEE TRANSACTIONS ON ENGINEERING MANAGEMENT , 2024 , 71 , 8651-8670 . |
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GB/T 7714 | Yuan, Fei , Li, Xin , Huang, Lucheng et al. Editorial Technology and Engineering Management in China [J]. | IEEE TRANSACTIONS ON ENGINEERING MANAGEMENT , 2023 , 70 (4) : 1544-1546 . |
MLA | Yuan, Fei et al. "Editorial Technology and Engineering Management in China" . | IEEE TRANSACTIONS ON ENGINEERING MANAGEMENT 70 . 4 (2023) : 1544-1546 . |
APA | Yuan, Fei , Li, Xin , Huang, Lucheng , Zhou, Yuan , Xue, Lan . Editorial Technology and Engineering Management in China . | IEEE TRANSACTIONS ON ENGINEERING MANAGEMENT , 2023 , 70 (4) , 1544-1546 . |
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摘要 :
With the high integration of science and technology development, how to early identify technology opportunity is crucial for the governments' and enterprises' research and development (R&D) strategic planning and inno-vation policy to gain a first-mover advantage in the market competition environment. Most researchers have applied Subject-Action-Object (SAO) semantic mining approach or outlier detection method to mine scientific papers or patent information for identifying technology opportunity. However, few researchers have combined information from both scientific papers and patents to identify technology opportunity by integrating SAO se-mantic mining and outlier detection method. Therefore, this paper proposes a research framework that uses scientific papers and patents as data resources, and integrates SAO semantic mining and outlier detection method to identify technology opportunity. In this framework, we first use the SAO semantic mining method to mine technical problems and solutions contained in scientific papers and patents respectively. Then we conduct comparative analysis to identify potential technology opportunity in the gaps between scientific papers and patents. Secondly, we use a outlier detection method to identify outlier points in scientific papers, and we incorporate the outlier points into the analysis scope of technology opportunity identification. Finally, we combine the results of SAO semantic mining method with outlier detection method, and use expert knowledge to identify technology opportunity. The triboelectric nanogenerator technology is selected as a case study to verify the feasibility of this framework. The results show that the framework can effectively and comprehensively identify technology opportunity from the two levels of technical problems and technical solutions. This paper contributes to technology opportunity study, and will be of interest to triboelectric nanogenerator technology R&D experts.
关键词 :
Outlier detection Outlier detection Technology forecasting Technology forecasting Triboelectric nanogenerator Triboelectric nanogenerator Text mining Text mining Subject -action -object semantic analysis Subject -action -object semantic analysis Technology opportunity Technology opportunity
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GB/T 7714 | Li, Xin , Wu, Yundi , Cheng, Haolun et al. Identifying technology opportunity using SAO semantic mining and outlier detection method: A case of triboelectric nanogenerator technology [J]. | TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE , 2023 , 189 . |
MLA | Li, Xin et al. "Identifying technology opportunity using SAO semantic mining and outlier detection method: A case of triboelectric nanogenerator technology" . | TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE 189 (2023) . |
APA | Li, Xin , Wu, Yundi , Cheng, Haolun , Xie, Qianqian , Daim, Tugrul . Identifying technology opportunity using SAO semantic mining and outlier detection method: A case of triboelectric nanogenerator technology . | TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE , 2023 , 189 . |
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摘要 :
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.
关键词 :
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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摘要 :
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.
关键词 :
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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摘要 :
本发明公开了基于数据驱动代理辅助的湿法烟气脱硫多目标优化方法,该方法包括:对湿法脱硫过程进行分析,结合大量生产过程监控数据,采用主元成分分析法对机组负荷、烟气流量、入口SO2浓度、入口O2浓度、PH值、烟气温度、粉尘含量、浆液密度和石灰石浆液流量等工艺变量进行关联分析,获取影响脱硫效率、出口SO2排放量优化目标的关键控制变量。将采集的数据进行数据归一化后采用FasterKriging模型建立脱硫效率、出口SO2排放量的预测模型,提取工艺参数。采用基于代理辅助进化的多目标进化算法求解该多目标优化问题。结合脱硫过程生产实际,采用模糊推理系统决策方法从Pareto解集中选择出最优操作参数,为生态高效的湿法烟气脱硫过程提供经验方案。
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GB/T 7714 | 李晓理 , 李欣 , 王康 . 基于数据驱动代理辅助的湿法烟气脱硫多目标优化方法 : CN202211559222.8[P]. | 2022-12-06 . |
MLA | 李晓理 et al. "基于数据驱动代理辅助的湿法烟气脱硫多目标优化方法" : CN202211559222.8. | 2022-12-06 . |
APA | 李晓理 , 李欣 , 王康 . 基于数据驱动代理辅助的湿法烟气脱硫多目标优化方法 : CN202211559222.8. | 2022-12-06 . |
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摘要 :
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.
关键词 :
New energy vehicle New energy vehicle Policy evaluation Policy evaluation Policy texts Policy texts
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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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摘要 :
本发明公开了一种湿法烟气脱硫过程的多目标优化控制方法,对湿法脱硫过程进行分析,结合大量生产过程监控数据,采用主元成分分析法对机组负荷、烟气流量、入口SO2浓度、入口O2浓度、PH值、烟气温度、粉尘含量、浆液密度和石灰石浆液流量等工艺变量进行关联分析。将采集的数据进行数据归一化后采用最小二乘支持向量机建立脱硫过程的脱硫效率和脱硫成本的预测模型,提取工艺参数等约束条件。然后采用基于小生境方法的多目标进化算法求解该多目标优化问题,实现脱硫过程实时多目标优化。根据不同的初始值分别建立不同神经网络模型和控制器,构建脱硫过程加权型多模型自适应控制器,进一步提高脱硫过程的脱硫效率和降低脱硫成本。
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GB/T 7714 | 李晓理 , 李欣 , 王康 . 一种湿法烟气脱硫过程的多目标优化控制方法 : CN202111669166.9[P]. | 2021-12-31 . |
MLA | 李晓理 et al. "一种湿法烟气脱硫过程的多目标优化控制方法" : CN202111669166.9. | 2021-12-31 . |
APA | 李晓理 , 李欣 , 王康 . 一种湿法烟气脱硫过程的多目标优化控制方法 : CN202111669166.9. | 2021-12-31 . |
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摘要 :
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.
关键词 :
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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