Items where Author is "Wang, Ting"
accuracy
Lin, Wenguang, Wang, Ting, Chen, Zhizhen ORCID: https://orcid.org/0000-0001-6656-5854 and Xiao, Renbin (2024) Data-driven identification of industrial clusters: a patent analysis approach. IEEE Transactions on Engineering Management. ISSN 0018-9391 (Print), 1558-0040 (Online) (doi:10.1109/TEM.2024.3493627)
adaptation models
Lin, Wenguang, Wang, Ting, Chen, Zhizhen ORCID: https://orcid.org/0000-0001-6656-5854 and Xiao, Renbin (2024) Data-driven identification of industrial clusters: a patent analysis approach. IEEE Transactions on Engineering Management. ISSN 0018-9391 (Print), 1558-0040 (Online) (doi:10.1109/TEM.2024.3493627)
affiliative humor
Lu, Su, Jiang, Feng ORCID: https://orcid.org/0000-0001-9762-5821, Lan, Junmei and Wang, Ting (2023) The funnier, the happier? The interplay between interpersonal humor styles on mental health via gratitude. Current Psychology. ISSN 1046-1310 (Print), 1936-4733 (Online) (doi:10.1007/s12144-023-04665-3)
aggressive humor
Lu, Su, Jiang, Feng ORCID: https://orcid.org/0000-0001-9762-5821, Lan, Junmei and Wang, Ting (2023) The funnier, the happier? The interplay between interpersonal humor styles on mental health via gratitude. Current Psychology. ISSN 1046-1310 (Print), 1936-4733 (Online) (doi:10.1007/s12144-023-04665-3)
bipartite network
Zeng, Siping, Wang, Ting, Lin, Wenguang, Chen, Zhizhen (Ryan) ORCID: https://orcid.org/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:10.3390/systems12090321)
clustering algorithms
Lin, Wenguang, Wang, Ting, Chen, Zhizhen ORCID: https://orcid.org/0000-0001-6656-5854 and Xiao, Renbin (2024) Data-driven identification of industrial clusters: a patent analysis approach. IEEE Transactions on Engineering Management. ISSN 0018-9391 (Print), 1558-0040 (Online) (doi:10.1109/TEM.2024.3493627)
density‑based spatial clustering
Zeng, Siping, Wang, Ting, Lin, Wenguang, Chen, Zhizhen (Ryan) ORCID: https://orcid.org/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:10.3390/systems12090321)
depression
Lu, Su, Jiang, Feng ORCID: https://orcid.org/0000-0001-9762-5821, Lan, Junmei and Wang, Ting (2023) The funnier, the happier? The interplay between interpersonal humor styles on mental health via gratitude. Current Psychology. ISSN 1046-1310 (Print), 1936-4733 (Online) (doi:10.1007/s12144-023-04665-3)
economics
Lin, Wenguang, Wang, Ting, Chen, Zhizhen ORCID: https://orcid.org/0000-0001-6656-5854 and Xiao, Renbin (2024) Data-driven identification of industrial clusters: a patent analysis approach. IEEE Transactions on Engineering Management. ISSN 0018-9391 (Print), 1558-0040 (Online) (doi:10.1109/TEM.2024.3493627)
engineering management
Lin, Wenguang, Wang, Ting, Chen, Zhizhen ORCID: https://orcid.org/0000-0001-6656-5854 and Xiao, Renbin (2024) Data-driven identification of industrial clusters: a patent analysis approach. IEEE Transactions on Engineering Management. ISSN 0018-9391 (Print), 1558-0040 (Online) (doi:10.1109/TEM.2024.3493627)
flexible electronics industry
Lin, Wenguang, Wang, Ting, Chen, Zhizhen ORCID: https://orcid.org/0000-0001-6656-5854 and Xiao, Renbin (2024) Data-driven identification of industrial clusters: a patent analysis approach. IEEE Transactions on Engineering Management. ISSN 0018-9391 (Print), 1558-0040 (Online) (doi:10.1109/TEM.2024.3493627)
gratitude
Lu, Su, Jiang, Feng ORCID: https://orcid.org/0000-0001-9762-5821, Lan, Junmei and Wang, Ting (2023) The funnier, the happier? The interplay between interpersonal humor styles on mental health via gratitude. Current Psychology. ISSN 1046-1310 (Print), 1936-4733 (Online) (doi:10.1007/s12144-023-04665-3)
happiness
Lu, Su, Jiang, Feng ORCID: https://orcid.org/0000-0001-9762-5821, Lan, Junmei and Wang, Ting (2023) The funnier, the happier? The interplay between interpersonal humor styles on mental health via gratitude. Current Psychology. ISSN 1046-1310 (Print), 1936-4733 (Online) (doi:10.1007/s12144-023-04665-3)
heuristic algorithms
Lin, Wenguang, Wang, Ting, Chen, Zhizhen ORCID: https://orcid.org/0000-0001-6656-5854 and Xiao, Renbin (2024) Data-driven identification of industrial clusters: a patent analysis approach. IEEE Transactions on Engineering Management. ISSN 0018-9391 (Print), 1558-0040 (Online) (doi:10.1109/TEM.2024.3493627)
identification
Lin, Wenguang, Wang, Ting, Chen, Zhizhen ORCID: https://orcid.org/0000-0001-6656-5854 and Xiao, Renbin (2024) Data-driven identification of industrial clusters: a patent analysis approach. IEEE Transactions on Engineering Management. ISSN 0018-9391 (Print), 1558-0040 (Online) (doi:10.1109/TEM.2024.3493627)
industrial clusters
Lin, Wenguang, Wang, Ting, Chen, Zhizhen ORCID: https://orcid.org/0000-0001-6656-5854 and Xiao, Renbin (2024) Data-driven identification of industrial clusters: a patent analysis approach. IEEE Transactions on Engineering Management. ISSN 0018-9391 (Print), 1558-0040 (Online) (doi:10.1109/TEM.2024.3493627)
industries
Lin, Wenguang, Wang, Ting, Chen, Zhizhen ORCID: https://orcid.org/0000-0001-6656-5854 and Xiao, Renbin (2024) Data-driven identification of industrial clusters: a patent analysis approach. IEEE Transactions on Engineering Management. ISSN 0018-9391 (Print), 1558-0040 (Online) (doi:10.1109/TEM.2024.3493627)
innovative industrial clusters
Zeng, Siping, Wang, Ting, Lin, Wenguang, Chen, Zhizhen (Ryan) ORCID: https://orcid.org/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:10.3390/systems12090321)
latent Dirichlet allocation
Zeng, Siping, Wang, Ting, Lin, Wenguang, Chen, Zhizhen (Ryan) ORCID: https://orcid.org/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:10.3390/systems12090321)
patent analysis
Lin, Wenguang, Wang, Ting, Chen, Zhizhen ORCID: https://orcid.org/0000-0001-6656-5854 and Xiao, Renbin (2024) Data-driven identification of industrial clusters: a patent analysis approach. IEEE Transactions on Engineering Management. ISSN 0018-9391 (Print), 1558-0040 (Online) (doi:10.1109/TEM.2024.3493627)
Zeng, Siping, Wang, Ting, Lin, Wenguang, Chen, Zhizhen (Ryan) ORCID: https://orcid.org/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:10.3390/systems12090321)
patents
Lin, Wenguang, Wang, Ting, Chen, Zhizhen ORCID: https://orcid.org/0000-0001-6656-5854 and Xiao, Renbin (2024) Data-driven identification of industrial clusters: a patent analysis approach. IEEE Transactions on Engineering Management. ISSN 0018-9391 (Print), 1558-0040 (Online) (doi:10.1109/TEM.2024.3493627)
production
Lin, Wenguang, Wang, Ting, Chen, Zhizhen ORCID: https://orcid.org/0000-0001-6656-5854 and Xiao, Renbin (2024) Data-driven identification of industrial clusters: a patent analysis approach. IEEE Transactions on Engineering Management. ISSN 0018-9391 (Print), 1558-0040 (Online) (doi:10.1109/TEM.2024.3493627)
spatial distribution
Lin, Wenguang, Wang, Ting, Chen, Zhizhen ORCID: https://orcid.org/0000-0001-6656-5854 and Xiao, Renbin (2024) Data-driven identification of industrial clusters: a patent analysis approach. IEEE Transactions on Engineering Management. ISSN 0018-9391 (Print), 1558-0040 (Online) (doi:10.1109/TEM.2024.3493627)
technological innovation
Lin, Wenguang, Wang, Ting, Chen, Zhizhen ORCID: https://orcid.org/0000-0001-6656-5854 and Xiao, Renbin (2024) Data-driven identification of industrial clusters: a patent analysis approach. IEEE Transactions on Engineering Management. ISSN 0018-9391 (Print), 1558-0040 (Online) (doi:10.1109/TEM.2024.3493627)