Trends of digitalization, intelligence and greening of global shipping industry based on CiteSpace Knowledge Graph

被引:7
|
作者
Chen, Jihong [1 ,2 ]
Zhang, Xitao [1 ]
Xu, Lang [1 ,3 ]
Xu, Jianghao [2 ]
机构
[1] Shanghai Maritime Univ, Coll Transport & Commun, Shanghai, Peoples R China
[2] Shenzhen Univ, Coll Management, Shenzhen, Peoples R China
[3] Nanyang Technol Univ, Sch Civil & Environm Engn, Singapore, Singapore
关键词
Global shipping industry; CiteSpace; Digitalization; Intelligence; Greening; ENERGY MANAGEMENT; SAFETY ASSESSMENT; RISK-ASSESSMENT; SHIPS; DESIGN; PORT; NAVIGATION; SYSTEM; TECHNOLOGIES; INFORMATION;
D O I
10.1016/j.ocecoaman.2024.107206
中图分类号
P7 [海洋学];
学科分类号
0707 ;
摘要
The focus topic of global shipping industry has switched in recent five years with the emergence of advanced technologies, and the methods have progressed with the appearances of machine learning, information system, and big-data mining. To investigate the current status and future trend in the eras of digitalization, intelligence and greening of shipping in recent years, this research selects 200 literature as the sample. Further, the analysis is utilized the CiteSpace Visual Knowledge Graph via four perspectives (keyword co-occurrence, keyword clustering, keyword time zone, keyword occurrence) and three aspects (research perspective, research object, research methodology) to visualize and present. Meanwhile, the utilization of new technologies such as Internet of Things and ChatGPT will be strengthened on the basis of the in-depth digitalization, intelligence and greening shipping industry.
引用
收藏
页数:12
相关论文
共 50 条
  • [31] KNOWLEDGE GRAPH BASED SEMANTIC MODELING FOR PROFILING IN INDUSTRY 4.0
    Munir, Siraj
    Jami, Syed Imran
    Wasi, Shaukat
    INTERNATIONAL JOURNAL ON INFORMATION TECHNOLOGIES AND SECURITY, 2020, 12 (01): : 37 - 50
  • [32] CiteSpace-based Visualization and Analysis of Knowledge Graph in International Supply Chain Domain
    Yang X.
    Applied Mathematics and Nonlinear Sciences, 2024, 9 (01)
  • [33] Visualization and Forecast Analysis of Science and Technology Intelligence Based on Knowledge Graph
    Ji, Rui
    Yu, Shiming
    Yan, Hongwei
    Ding, Suren
    Wang, Ben
    Zong, Hui
    Zhu, Quanyin
    2018 17TH INTERNATIONAL SYMPOSIUM ON DISTRIBUTED COMPUTING AND APPLICATIONS FOR BUSINESS ENGINEERING AND SCIENCE (DCABES), 2018, : 44 - 47
  • [34] Global trends in the application of fluorescence imaging in pancreatic diseases: a bibliometric and knowledge graph analysis
    Luo, Quanneng
    Teng, Xiong
    Dai, Manxiong
    Yang, Jun
    Cheng, Wei
    Chen, Kang
    Zhou, Lei
    FRONTIERS IN ONCOLOGY, 2024, 14
  • [35] Global Knowledge Map and Emerging Research Trends in Induced Pluripotent Stem Cells and Hereditary Diseases: A CiteSpace-based Visualization and Analysis
    Xu, Jiajun
    Gong, Weiwei
    Mo, Chune
    Hou, Xianliang
    Ou, Minglin
    STEM CELL REVIEWS AND REPORTS, 2025, 21 (01) : 126 - 146
  • [36] Knowledge domain and emerging trends in Takotsubo cardiomyopathy: a scientometric review based on CiteSpace analysis
    Shou, Xintian
    Wang, Yumeng
    Jia, Qiulei
    Shi, Jingjing
    Zhang, Xuesong
    Shi, Shuai
    Shi, Shu-Qing
    Yuan, Guozhen
    Chai, Ruoning
    Xue, Wenjing
    Yang, Yihan
    Duan, Chenglin
    Hu, Yuanhui
    ANNALS OF PALLIATIVE MEDICINE, 2022, 11 (04) : 1505 - 1517
  • [37] Knowledge domain and emerging trends in diabetic cardiomyopathy: A scientometric review based on CiteSpace analysis
    Tao, Shiyi
    Yang, Deshuang
    Zhang, Lanxin
    Yu, Lintong
    Wang, Zihan
    Li, Lingling
    Zhang, Jin
    Yao, Ruiqi
    Huang, Li
    Shao, Mingjing
    FRONTIERS IN CARDIOVASCULAR MEDICINE, 2022, 9
  • [38] Global research trends in in-stent neoatherosclerosis: A CiteSpace-based visual analysis
    Wang, Heng
    Wang, Qian
    Hu, Jie
    Zhang, Ruijing
    Gao, Tingting
    Rong, Shuling
    Dong, Honglin
    FRONTIERS IN CARDIOVASCULAR MEDICINE, 2022, 9
  • [39] Global research trends in cardiac arrest research:a visual analysis of the literature based on CiteSpace
    Shi-jiao Yan
    Mei Chen
    Jing Wen
    Wen-ning Fu
    Xing-yue Song
    Huan-jun Chen
    Ri-xing Wang
    Mei-ling Chen
    Xiao-tong Han
    Chuan-zhu Lyu
    World Journal of Emergency Medicine, 2022, 13 (04) : 290 - 296
  • [40] Hotspots and Trends in Knowledge Graph and Concept Generation Based on Bibliometric Analysis
    Shen, Tao
    Nagai, Yukari
    Zhao, Jing
    Shen, Tianshi
    2020 INTERNATIONAL CONFERENCE ON INTELLIGENT DESIGN (ICID 2020), 2020, : 124 - 127