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3 February 2023 Bibliometric analysis and visualization of China’s pharmaceutical industry innovation research
Hong-lin Cui, Yu-fang He, Fang Xia, Shuo Zhang
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Proceedings Volume 12511, Third International Conference on Computer Vision and Data Mining (ICCVDM 2022); 125110G (2023) https://doi.org/10.1117/12.2660075
Event: Third International Conference on Computer Vision and Data Mining (ICCVDM 2022), 2022, Hulun Buir, China
Abstract
This study aims to explore the current status of pharmaceutical industry innovation(PII) research through visual analysis of the journal papers related to PII. We analyzed 405 pieces of literature that were retrieved from the China National Knowledge Infrastructure (CNKI) and the period was defined as “all years”. Citespace software is used for analysis. By analyzing the basic characteristics of 405 publications, we found that the number of publications peaked in 2020. The clustering results of keywords showed that there were 4 hotspots in PII research: “innovation ability”, “innovation system”, “innovation efficiency” and “collaborative innovation”. From the perspective of the time axis of keywords, the development of PII research has experienced three stages: germination stage, outbreak stage, and stable development stage. Moreover, “biomedicine” had received greater attention recently, indicating that innovative research on biomedicine is the current research hotspot. The findings may help the new researchers to grasp the frontier of PII research.
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Hong-lin Cui, Yu-fang He, Fang Xia, and Shuo Zhang "Bibliometric analysis and visualization of China’s pharmaceutical industry innovation research", Proc. SPIE 12511, Third International Conference on Computer Vision and Data Mining (ICCVDM 2022), 125110G (3 February 2023); https://doi.org/10.1117/12.2660075
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KEYWORDS
Analytical research
Visualization
Biological research
Medicine
Visual analytics
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