Bibliometric analysis of hotspots and trends of global myopia research

被引:5
作者
Wu, Xing -Yang [1 ]
Fang, Hui -Hui [2 ]
Xu, Yan-Wu [2 ]
Zhang, Yan-Ling [1 ]
Zhang, Shao-Chong [1 ]
Yang, Wei-Hua [1 ]
机构
[1] Jinan Univ, Shenzhen Eye Hosp, Shenzhen Eye Inst, Shenzhen 518040, Guangdong, Peoples R China
[2] South China Univ Technol, Sch Future Technol, Guangzhou 510641, Guangdong, Peoples R China
关键词
bibliometric analysis; myopia; global trends; POSTERIOR STAPHYLOMA; PREVALENCE; MACULOPATHY; STUDENTS;
D O I
10.18240/ijo.2024.05.20
中图分类号
R77 [眼科学];
学科分类号
100212 ;
摘要
center dot AIM: To gain insights into the global research hotspots and trends of myopia. center dot METHODS: Articles were downloaded from January 1, 2013 to December 31, 2022 from the Science Core Database website and were mainly statistically analyzed by bibliometrics software. center dot RESULTS: A total of 444 institutions in 87 countries published 4124 articles. Between 2013 and 2022, China had the highest number of publications (n=1865) and the highest H-index (61). Sun Yat-sen University had the highest number of publications (n=229) and the highest H-index (33). Ophthalmology is the main category in related journals. Citations from 2020 to 2022 highlight keywords of options and reference, child health (pediatrics), myopic traction mechanism, public health, and machine learning, which represent research frontiers. center dot CONCLUSION: Myopia has become a hot research field. China and Chinese institutions have the strongest academic influence in the field from 2013 to 2022. The main driver of myopic research is still medical or ophthalmologists. This study highlights the importance of public health in addressing the global rise in myopia, especially its impact on children's health. At present, a unified theoretical system is still needed. Accurate surgical and therapeutic solutions must be proposed for people with different characteristics to manage and intervene refractive errors. In addition, the benefits of artificial intelligence (AI) models are also reflected in disease monitoring and prediction.
引用
收藏
页码:940 / 950
页数:11
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