Visualization Analysis of Online Health Care Research Based on Citespace

Yi, Siqi; Gao, Shuli

doi:10.4236/jss.2021.97022

Cited by 2 publications

(3 citation statements)

References 36 publications

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“…In addition, it provides a text mining function, which can be used to construct a co-occurrence network from key terms extracted from visual science literature (Van Eck and Waltman, 2010;Flis and van Eck, 2018;Zhao et al, 2021). Most relevant studies have used bibliometric methods to explore related topics through a document co-citation and coupling analysis (Kakouris and Georgiadis, 2016;Zhou et al, 2018;Dolhey, 2019;Hwang and Tu, 2021;Yi and Gao, 2021) with the aim of elucidating research trends in literature knowledge networks (Table 1).…”

Section: Literature Reviewmentioning

confidence: 99%

“…Energy security Yi and Gao, 2021 This study clarified and reviewed the field of online medical care, exploring the current research status, revealing research hotspots and frontiers, and providing references for other related research in this field. Online medical care Dolhey, 2019 This study used VOSviewer to explore research trends in the field of entrepreneurial intentions between 2000 and 2018 and proposed a research context to clarify the literature on entrepreneurial intentions.…”

Section: Entrepreneurial Intentionsmentioning

confidence: 99%

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RETRACTED: Integration of Neuroscience and Entrepreneurship: A Systematic Review and Bibliometric Analysis

Liu

et al. 2022

Front. Psychol.

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In this study, we investigated the integration between neuroscience and entrepreneurship. First, we explored the concept of neuroentrepreneurship and the investigation of neuroentrepreneurship using scientific research methods. Second, we constructed a road map for entrepreneurial researchers interested in conducting neuroentrepreneurship-related research. This is an emerging research area; therefore, to more clearly analyze the dynamics of the research trends, we used a bibliometric method to capture patterns in current publications on subjects related to neuroentrepreneurship, examining papers published between 1999 and 2021 using the keywords “neuroscience” and “entrepreneurship” or “neuroentrepreneurship.” To identify the keywords, we used two academic databases—the Social Science Citation Index and Science Citation Index—accessed through the Web of Science website. The three keywords were identified from studies integrating neuroscience with entrepreneurship. After carefully reviewing the research papers, we identified neuroentrepreneurship as a novel research area. The outcomes of this study provide a guide for describing the theoretical connection between neuroscience and entrepreneurship. In the future, this field of study should be empirically investigated.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Entrepreneurial Intentionsmentioning

confidence: 99%

RETRACTED: Integration of Neuroscience and Entrepreneurship: A Systematic Review and Bibliometric Analysis

Liu

et al. 2022

Front. Psychol.

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“…This study will also traverse and retrieve the hierarchical relationship of the whole building model through the BIM server and split the building model into corresponding IFC model files and JSON text files through recursive access to the IFC structure tree. IFC model files store BIM spatial and geometric information, while JSON text files store BIM attribute and type information [ 18 ]. The digital analog separation process is shown in Figure 3 .…”

Section: Visualization Design Of Big Data Mapmentioning

confidence: 99%

Research on Building Space Model Method Based on Big Data Map Visual Design

Xü

2022

Computational Intelligence and Neuroscience

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In order to explore the architectural space model of design, a visualization method based on big data map is proposed. Referring to the tile pyramid model, a multidimensional aggregation pyramid model (MAP) is proposed, which extends the 2D spatial hierarchical aggregation of tile pyramid to the multidimensional of time/space/attribute and supports the multidimensional hierarchical aggregation of time, space, and attribute. Then, taking spark cluster as the parallel preprocessing tool and HBase distributed database as the persistent storage of map model data, an open-source distributed visualization framework (MAP-Vis) is realized. Then, the BIM model is reconstructed, and a component instance hierarchical splitting strategy based on IFC structure tree is proposed to separate the digital and analog of the original IFC file. The reconstructed IFC model file is transformed into glTF format file, and the dual relationship mapping of geometric space and semantic attributes is completed in the transformation process. Finally, the visibility detection algorithm of BS-AB scene components based on the hierarchical bounding volume (BVH) structure is proposed to eliminate the visibility of building components. The experimental results show that BIMviews is slow to load the IFC file of the experimental object and obtain the model data, with an average of about 40 s, and the Caton is obvious. However, it only takes about 7 s to load glTF file into big data map visualization design by Three.js. It is verified again that glTF format is more suitable for BIM model data than IFC format. The visualization design, display, and interaction based on big data map are based on glTF format. It proves the effectiveness of big data map visualization.

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Visualization Analysis of Online Health Care Research Based on Citespace

Cited by 2 publications

References 36 publications

RETRACTED: Integration of Neuroscience and Entrepreneurship: A Systematic Review and Bibliometric Analysis

RETRACTED: Integration of Neuroscience and Entrepreneurship: A Systematic Review and Bibliometric Analysis

Research on Building Space Model Method Based on Big Data Map Visual Design

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