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Items where Greenwich Author is "Chen, Zhizhen"

Items where Greenwich Author is "Chen, Zhizhen"

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Number of items: 5.

Education Reform Project of Xiamen University of Technology (No. JG202226)

Zeng, Siping, Wang, Ting, Lin, Wenguang, Chen, Zhizhen (Ryan) ORCID: 0000-0001-6656-5854 and Xiao, Renbin (2024) A patent mining approach to accurately identifying Innovative Industrial Clusters based on the multivariate DBSCAN algorithm. Systems, 12:321. pp. 1-28. ISSN 2079-8954 (Online) (doi:https://doi.org/10.3390/systems12090321)

National Natural Science Foundation of China (No. 52275249), and the Social Science Foundation of Fujian Province (No. FJ2021B128)

Lin, Wenguang, Yan, Wenchao, Chen, Zhizhen ORCID: 0000-0001-6656-5854 and Xiao, Renbin (2023) Research on product appearance patent spatial shape recognition for multi-image feature fusion. Multimedia Tools and Applications. ISSN 1380-7501 (Print), 1573-7721 (Online) (doi:https://doi.org/10.1007/s11042-023-16477-5)

National Natural Science Foundation of China (No.52275249)

Zeng, Siping, Wang, Ting, Lin, Wenguang, Chen, Zhizhen (Ryan) ORCID: 0000-0001-6656-5854 and Xiao, Renbin (2024) A patent mining approach to accurately identifying Innovative Industrial Clusters based on the multivariate DBSCAN algorithm. Systems, 12:321. pp. 1-28. ISSN 2079-8954 (Online) (doi:https://doi.org/10.3390/systems12090321)

National Science and Technology Innovation 2030 Major Project of the Ministry of Science and Technology of China (No. 2018AAA0101200)

Lin, Wenguang, Yan, Wenchao, Chen, Zhizhen ORCID: 0000-0001-6656-5854 and Xiao, Renbin (2023) Research on product appearance patent spatial shape recognition for multi-image feature fusion. Multimedia Tools and Applications. ISSN 1380-7501 (Print), 1573-7721 (Online) (doi:https://doi.org/10.1007/s11042-023-16477-5)

Social Science Foundation of Fujian Province (No. FJ2021B128, FJ2023B077)

Zeng, Siping, Wang, Ting, Lin, Wenguang, Chen, Zhizhen (Ryan) ORCID: 0000-0001-6656-5854 and Xiao, Renbin (2024) A patent mining approach to accurately identifying Innovative Industrial Clusters based on the multivariate DBSCAN algorithm. Systems, 12:321. pp. 1-28. ISSN 2079-8954 (Online) (doi:https://doi.org/10.3390/systems12090321)

This list was generated on Sat Nov 23 09:28:08 2024 UTC.