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Braga L, Lopes R, Alves L, Mota F. The global patent landscape of artificial intelligence applications for cancer. Nat Biotechnol 2023; 41:1679-1687. [PMID: 38082076 DOI: 10.1038/s41587-023-02051-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2023]
Affiliation(s)
- Luiza Braga
- Oswaldo Cruz Foundation, Rio de Janeiro, Brazil
| | | | - Luiz Alves
- Oswaldo Cruz Foundation, Rio de Janeiro, Brazil
| | - Fabio Mota
- Oswaldo Cruz Foundation, Rio de Janeiro, Brazil.
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Rezende JMD, Rodrigues IMDC, Resendo LC, Komati KS. Combining natural language processing techniques and algorithms LSA, word2vec and WMD for technological forecasting and similarity analysis in patent documents. TECHNOLOGY ANALYSIS & STRATEGIC MANAGEMENT 2022. [DOI: 10.1080/09537325.2022.2110054] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/15/2022]
Affiliation(s)
- João Marcos de Rezende
- Graduate Program in Applied Computing (PPComp), Federal Institute of Espírito Santo (IFES), Serra, Brazil
| | | | - Leandro Colombi Resendo
- Graduate Program in Applied Computing (PPComp), Federal Institute of Espírito Santo (IFES), Serra, Brazil
| | - Karin Satie Komati
- Graduate Program in Applied Computing (PPComp), Federal Institute of Espírito Santo (IFES), Serra, Brazil
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Pan W. Can high-interest similarity really promote the efficiency of technological collaboration? — an analysis of time and space dimensions. TECHNOLOGY ANALYSIS & STRATEGIC MANAGEMENT 2022. [DOI: 10.1080/09537325.2022.2090918] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/17/2022]
Affiliation(s)
- Wenhui Pan
- Department of Economics and Management, Xi’an University of Posts & Telecommunications, Xi'an, PRC
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Global Research Trends on Shale Gas from 2010–2020 Using a Bibliometric Approach. SUSTAINABILITY 2022. [DOI: 10.3390/su14063461] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/04/2023]
Abstract
In the last few decades, shale gas resources have attracted much global attention as potential sources for clean and affordable energy. Due to this fact, coupled with the increasing energy shortfall, shale gas has become an increasingly attractive energy prospect from both an environmental and economic perspective. This development has led to the rapid growth in the number of researchers and publications in the field of shale gas. Although there are few review articles on the state of research on shale gas, the literature lacked a bibliometric analysis. This study is intended to fill the research gap by carrying out a bibliometric analysis of 9247 shale gas articles that were published between 2010 and 2020. The Web of Science database was used to collect the data. The analysis was performed to identify the most productive authors, institutions, countries, and sources, and to visualize existing collaborations as well as provide valuable information which could form the basis for establishing future collaboration. The analysis results revealed that Li J has the highest number of publications on shale gas whereas Loucks RG is the most cited author. The top three countries with the highest number of publications in shale gas research are China, USA, and Canada, while the China University of Petroleum (Beijing), China University of Geosciences, and Southwest Petroleum University China were the three top institutions with the highest number of publications. Fuel, International Journal of Coal Geology, and Marine and Petroleum Geology are the journals with the highest number of published articles on shale gas. The keyword analysis indicated that shale gas, hydraulic fracturing, pore structure, permeability, adsorption, kinetics, pyrolysis, organic matter, thermal maturity, and numerical simulation are the predominant research topics. This showed the multi-dimensional and multi-faceted character of the shale gas field. Besides, it appeared to be an exciting topic for further study that is based on a detailed evaluation of the shale gas literature. In fact, shale gas, hydraulic fracturing (fracking), CO2 sequestration, kinetic, gas adsorption, diffusion, and simulation are becoming emerging research hotspots. The bibliometric analysis that was presented in this study has revealed valuable information about the most active institutions and countries, and the most influential authors in the field of shale gas which could form the basis for establishing future collaboration. Furthermore, it can help researchers to understand the global research trend in shale gas as well as provide references for establishing future research directions.
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Nan J, Xing L, Ming X. Measuring Technological Collaboration on Blockchain Based on Patents: A Social Network Analysis Approach. SCIENCE TECHNOLOGY AND SOCIETY 2022. [DOI: 10.1177/09717218211032902] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Blockchain has been regarded as an emerging global phenomenon in the field of new technologies. However, the existing literature still lacks descriptions of the cooperation characteristics and innovation landscape of blockchain. This study uses the social network analysis method to compare the development of blockchain technology and technological collaboration in China and in the United States based on patent data. Our analyses suggest that the number of blockchain patent applications in China is increasing rapidly due to the Chinese Government developing consistent national strategies for blockchain technology. In all, both countries have notable agglomerations in a few geographical areas or cities. However, the university or enterprise block in the United States has broader and deeper cooperation, unlike the Chinese university or enterprise block, which is more inclined to cooperate within blocks and has more isolated blocks. Lastly, there are various patent attributes-influencing factors behind the importance of node cooperation. The results show that the degree of cooperation of cooperative inventors or important patents is greater in China’s cooperation network, while in the United States, the influence of enterprises rather than universities or individuals is greater.
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Affiliation(s)
- Jiang Nan
- Nan Jiang, Shanghai International College of Intellectual Property, Tongji University, Shanghai, China
| | - Liu Xing
- Xing Liu, Shanghai International College of Intellectual Property, Tongji University, Shanghai, China
| | - Xu Ming
- Xu Ming (corresponding author), Shanghai International College of Intellectual Property, Tongji University, Shanghai, China
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