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A Bibliometric Analysis for Low-Intensity Ultrasound Study Over the Past Three Decades
被引:4
|作者:
Chang, Huixian
[1
]
Wang, Qian
[2
]
Liu, Taotao
[2
]
Chen, Lei
[2
]
Hong, Jingshu
[2
]
Liu, Kaixi
[2
]
Li, Yitong
[1
]
Yang, Ning
[1
]
Han, Dengyang
[2
]
Mi, Xinning
[2
]
Li, Xiaoli
[3
]
Guo, Xiangyang
[2
,4
]
Li, Yingwei
[1
,5
]
Li, Zhengqian
[2
,4
,6
]
机构:
[1] Yanshan Univ, Sch Informat Sci & Engn, Qinhuangdao, Peoples R China
[2] Peking Univ Third Hosp, Dept Anesthesiol, Beijing, Peoples R China
[3] Beijing Normal Univ, State Key Lab Cognit Neurosci & Learning, Beijing, Peoples R China
[4] Beijing Ctr Qual Control & Improvement Clin Anesth, Beijing, Peoples R China
[5] Yanshan Univ, Sch Informat Sci & Engn, 438 West Hebei Ave, Qinhuangdao 066004, Hebei, Peoples R China
[6] Peking Univ Third Hosp, Dept Anesthesiol, 49 North Garden Rd, Beijing 100191, Peoples R China
基金:
中国国家自然科学基金;
北京市自然科学基金;
关键词:
bibliometric analysis;
low-intensity focused ultrasound;
low-intensity pulsed ultrasound;
low-intensity ultrasound;
neuromodulation;
VOS viewer;
web of science;
TRANSCRANIAL FOCUSED ULTRASOUND;
BLOOD-BRAIN-BARRIER;
PULSED ULTRASOUND;
TRIGGERED DRUG;
PATHWAY;
LIPUS;
STIMULATION;
EXPRESSION;
DELIVERY;
MICROBUBBLES;
D O I:
10.1002/jum.16245
中图分类号:
O42 [声学];
学科分类号:
070206 ;
082403 ;
摘要:
Low-intensity ultrasound (LI-US) is a non-invasive stimulation technique that has emerged in recent years and has been shown to have positive effects on neuromodulation, fracture healing, inflammation improvement, and metabolic regulation. This study reports the conclusions of a bibliometric analysis of LI-US. Input data for the period between 1995 and 2022, including 7209 related articles in the field of LI-US, were collected from the core library of the Web of Science (WOS) database. Using these data, a set of bibliometric indicators was obtained to gain knowledge on different aspects: global production, research areas, and sources analysis, contributions of countries and institutions, author analysis, citation analysis, and keyword analysis. This study combined the data analysis capabilities provided by the WOS database, making use of two bibliometric software tools: R software and VOS viewer to achieve analysis and data exploration visualization, and predicted the further development trends of LI-US. It turns out that the United States and China are co-leaders while Zhang ZG is the most significant author in LI-US. In the future, the hot spots of LI-US will continue to focus on parameter research, mechanism discussion, safety regulations, and neuromodulation applications.
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页码:2215 / 2232
页数:18
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