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[Purpose/Significance] "The Belt and Road" is an initiative proposed by China in recent years to cooperate and develop a community with a shared future for mankind, which has been continuously highly concerned by all circles at home and abroad. From the perspective of the citation of highly cited papers, the academic exchange of countries along the Belt and Road initiative cam provide a quantitative reference for future international academic and technological exchanges, collaborative innovation and development. [Method/Process] Based on the highly cited papers among the countries along the "The Belt and Road" in the WoS database from 2013 to 2018, this paper constructed a reference matrix and analyzed the network structure, and drew a national citation network map for cluster division. Furthermore, it explored the current state of academic exchange along the "The Belt and Road" and the direction of Chinese academic output, and further analyzed the correlation between Chinese academic exchanges and trade cooperation with other 64 countries along the route. [Results/Conclusions] The research results show that the countries along "The Belt and Road" have close academic exchange and obvious "small world" characteristics. China is the core of academic exchange and the highly cited papers in many research directions in China are cited by many countries along "The Belt and Road". Besides, academic exchange and trade cooperation between China and countries along "The Belt and Road" are strongly related. [ABSTRACT FROM AUTHOR]

Objective To understand the research hotspots and research trends about convolutional neural networks in the field of oncology imaging diagnosis by analyzing the characteristics of published literature at home and abroad over the past decade. Methods The SCI-E database was used as the data source to retrieve literature about convolutional neural networks in the field of oncology imaging diagnosis published from 2012 to 2022. The distribution characteristics of countries, institutions, journals, co-cited authors, and keywords of the studies were analyzed by CiteSpace software. Results A total of 1088 papers were eventually included, and they were mostly from China, the United States, and India. A total of 39 papers were published by Sun Yat-sen University, the research institution with the highest number of publications. Radiology Nuclear Medicine Medical Imaging was the journal with the highest number of publications. A total of 25 high-frequency keywords and 15 burst keywords were obtained. The formation of 12 author co-citation clusters such as image segmentation and lung nodule, as well as 11 keyword clusters such as automatic segmentation and breast cancer, was observed. Conclusion Current research on convolutional neural networks for oncology imaging diagnosis focuses on oncology segmentation, lung-nodule recognition, assisted diagnosis of breast cancer, and other high-frequency oncology. [ABSTRACT FROM AUTHOR]

Objective Analyze the current situation, hotspots and development trends of sarcopenia animal model to provide research direction and basic information for sarcopenia animal model research. Methods English literature of research on animal models of sarcopenia was retrieved from the Web of Science core data (WOS) set from 1900-01-01 to 2022-12-31. Chinese literature related to animal models of sarcopenia was retrieved from CNKI database between 1915 and 2022. The bibliometric analysis software VOSviewer was used to explore the countries, orgonizations, authors, hotspots and frontier directions in these studies. Results A total of 2 819 articles on animal models of sarcopenia were retrieved from WOS core database. The first paper was published in 1995. The United States has the largest number of animal model studies of sarcopenia with 1 105 articles. The institution with the most published articles is the University of Florida in the United States, with 69 articles. The University of Hong Kong has the highest number of publications in China, with 20 articles. American author Van Remmen H, with 50 publications, is the author of the most articles. The journal with the largest number of articles published on animal models of sarcopenia is the American journal called FASEB Journal, with 196 articles. In total, 423 articles on animal models of sarcopenia were retrieved from the CNKI database. Author LI Zhuyi has published 19 articles, and is the author of the most articles in China. The keyword co-occurrence clustering analysis of WOS literature search found that the research focus on animal model of sarcopenia can be summarized as the correlation between sarcopenia and metabolism, cytology and regenerative medicine of sarcopenia animal models, the study of sarcopenia animal models in bone, muscle, nerve and exercise therapy. The retrieval results of CNKI database revealed that the most extensive research was about on the model of denervated sarcopenia, and researches on the effects of Chinese medicine on sarcopenia were also widely reported. Through reading the full articles or abstracts of the literature, the animal models of sacopenia mainly include natural aging model, genetic modification model, high-fat diet induction model, disuse model, hormone induction model and complex sarcopenia models of other diseases. Conclusion In recent years, the study on animal model of sarcopenia has become a hotspot at home and abroad. The bibliometric analysis provides a basis for the research of animal models of sarcopenia in terms of research direction, hotspots, model animal selection, animal model making, and domestic and international communication and cooperation. [ABSTRACT FROM AUTHOR]

Unmanned Aerial Vehicle(UAV) application in agriculture and forestry has the unique advantages of high efficiency, water and pesticide saving, and strong adaptability to complex terrain. The application research of UAV in agriculture and forestry has shown a fast growing trend. In order to explore the research hotspots and the scientific impact of countries/regions and institutions on UAV application in agriculture and forestry, the relevant literatures in the Web of Science(WoS) core collection database (2011-2020) were collected. The bibliometrics analysis was performed on the journal articles of UAV application in agriculture and forestry based on VOSviewer, WoS analysis tools and Microsoft Excel. The analysis results showed that the number of published papers increased rapidly since 2017, the researches on UAV application in agriculture and forestry were carried out in 94 countries/regions, including1778 institutions. Due to the strong scientific research group in the application of UAV in agriculture and forestry of the United States, China and Australia, a large number of papers had been published, resulting in a great academic influence. Remote sensing was the most widely used technology field of UAV application in agriculture and forestry, mainly involving remote sensing technology, ecological environment science, image processing technology, geological science, etc. Engineering was an important technical field of UAV application in agriculture and forestry, mainly involving control technology, sensor technology and fluid computing modeling technology related to UAV aerial pesticide application.There were 1508 articles and reviews been published in 398 journals, about 1.90% of all journals included in WoS core collection database, indicating that more and more journals paid attention to the application research of UAV in agriculture and forestry. Remote Sensing sponsored by MDPI (Multidisciplinary Digital Publishing Institute) was the journal that published the most of papers, the most cited paper mainly focused on the research status of UAV system in photogrammetry and remote sensing, including sensing, navigation, positioning and general data processing, etc. In addition, the analysis of the research hotspots of UAV application in agriculture and forestry showed that UAV pesticide application, UAV remote sensing of diseases and pests, plant phenotype acquisition were the research hotspots. This study can provide references for innovation research and cooperation between research teams of UAV application in agriculture and forestry. [ABSTRACT FROM AUTHOR]

[Purpose/Significance] By analyzing the research situation of global smart agriculture, this paper aims to provide data reference and information support for scientific and technological innovation and management decision-making in the field of smart agriculture in China. [Method/Process] Based on the Web of Science database, this paper makes an in-depth analysis and visualization display of the global smart agriculture research overview, research group competitiveness, research focus and hot spots by using the methods of bibliometrics and knowledge mapping. [Results/Conclusions] Smart agriculture has drawn increasing interest among researchers both in and outside of China since 2010. The productivity and influence of China and the United States are far ahead of those of other countries in the world. The productivity and influence of China Agricultural University, Zhejiang University and the United States Department of Agriculture have obvious advantages. HE Y, JAYAS D S, and BLASCO J have higher productivity and influence, but the quality of papers of Chinese institutions and scholars is generally not rated as high. Agronomy, computer science, engineering, food science and technology, and chemistry are the key disciplines. Computers and Electronics in Agriculture is the most competitive journal. The global and China's smart agriculture can be divided into three research topics, but the research focus is different; the agricultural Internet of things as a representative of information perception, analysis and control technology is a research hotspot in recent years; agricultural sensor independent research and development, data mining analysis and sharing technology model, smart control algorithm model and system integration, smart agricultural machinery equipment and agriculture autonomous research and development of robots and smart agricultural science and technology service mode are the key research directions for further development of smart agriculture in China. [ABSTRACT FROM AUTHOR]

Plant functional traits, a bridge between plants and the environment, significantly influence the function of the ecosystem and can reflect the corresponding changes of plants to the environment. The bibliometric method which is a common research tool used in various fields for systematic analysis, which can help us understand the research progress of the relation between plant functional traits and environments and provide reference data for researchers. An effective bibliometric analysis based on the Web of Science database, was carried out to provide insights into research activities on functional traits and environment from 1992 to 2017, especially recent nine years. Thomson Data Analyzer(TDA)and Ucinet, Netdraw, Excel were used for data mining, quantitative analysis and visualization mapping. Analyzed aspects included the number of publications per year, the subject category, main countries and institutes and their comparisons, peridical distributions and highly cited papers. The results were as follows:(1)In the past 26 years, the number of papers on plant functional traits and environmental research increased steadily, especially in the last nine years, the growth accelerated.(2)Research topics mainly centered on specific leaf area, leaf area(index), photosynthesis(photosynthetic characteristics), leaf thickness, leaf shape, leaf nitrogen content, chlorophyll and chlorophyll fluorescence, specific root length, and environmental factors of light, temperature, water(water use efficiency and drought, etc.), ferti-lizer(nitrogen, phosphorus), CO2 and so on. Stoichiometry was widely used in this field.(3)During 2009-2017,European and American developed countries were the main force in this field. The number of American publications and the quality of documents led the world. China ranked the second in the number of articles in the field, ranked only the second to the United States, but the cited frequency and H index of all literatures were low. The Chinese Academy of Sciences ranked the first in the number of publications with absolute advantages, but the quality of the literature needed to be further improved.(4)Top 10 periodicals in this field were of high quality, among these publications eight were JCR division Q1, and the other two were JCR division Q2. Plant and Soil and Plant Ecology ranked the first and the second respectively in terms of article quantity.(5)Top 10 highly cited papers published in eight kinds of periodicals, and the first authors respectively from United States, Netherlands, Canada, Germany and France. [ABSTRACT FROM AUTHOR]

Biological invasions seriously threat the global biodiversity and ecosystem health, causing great losses to global environment and economy. However, rapid climate change could significantly affect the diffusion and invasion of alien species. To explore the development situation of biological invasions under climate change could be helpful for better understanding the status and hot spots in this field, and also the benefitial for understanding the invasion mechanism and making effective management measures. In our study, we studied the Web of Science(WOS)database for publications pertaining to the biological invasions under climate change between the years 1990-2016, we then used the Thomson Data Analyzer(TDA)to operate the systematic analysis. We found that there were total 1 736 published papers in recent 27 years. The number of publications increased annually, while it rapidly increased since 2009. This research area related to several subjects such as environmental science and ecology, biodiversity protection, botany, etc. Prof. Chown SL form Monash University had the largest amounts of publications. USA had the maximum total papers, highly cited and high impact factor papers. California University published the most papers among international research institutes, while the Chinese Academy of Science(CAS)ranked the 10th. Biological Invasions was the academic journal which had the largest publications. Recent studies focused primarily on topics related to species distribution models, biodiversity, global warming and risk assessment. China totally published 52 articles, Chinese Academy of Science had the largest amounts of papers, while Institute of Zoology, Wuhan Botanical Garden, Institute of Botany ranking Top 3 among the branch organizations of CAS. In the future, China should give more attentions on the high level research papers and international cooperation of biological invasions under climate change. In addition, we need to focus on prediction and risk assessment of alien species, relationships between biological invasions and biodiversity, system evolution of invaders, relationships among multiple trophic levels of invaded ecosystem, marine biological invasion, influence of invasion on human health, etc under a rapid global climate change. [ABSTRACT FROM AUTHOR]