摘要
文章以南昌大学、江西师范大学等江西30所高校为研究对象,以中国学术期刊全文数据库收录的计算机科学与技术学科领域的高被引论文(排名前10%)及科学引文索引(SCIE)收录的计算机科学与技术学科领域的论文为数据基础,对作者关键词词频及年度分布进行了统计分析。研究发现:国内外该领域持续研究30次以上的热点集中在特征提取、深度学习、卷积神经网络、粒子群优化、支持向量机、图像分割、图像处理、云计算等关键词上;近期研究前沿集中在任务分析、许可证、人工智能、能源效率等关键词上;具有发展潜力的研究方向有可能在计算建模、隐马尔科夫模型、混合有源滤波器、智能系统、分析模型、跌倒检测等关键词中产生。
This paper takes 30 colleges and universities in Jiangxi Province such as Nanchang University and Jiangxi Normal University as research objects,takes the data of highly cited papers(top 10%)in the field of the discipline of Computer Science and Technology included in the full-text database of Chinese academic journals and the papers in the field of the discipline of Computer Science and Technology included in SCIE as data foundation,and makes a statistical analysis of the word frequency and annual distribution of authors'key words.It is found that the hotspots that have been continuously studied more than 30 times in this field at home and abroad focus on key words such as feature extraction,deep learning,convolutional neural network,particle swarm optimization,support vector machines,image segmentation,image processing and cloud computing,that recent research frontiers focus on key words such as task analysis,licensing,artificial intelligence and energy efficiency,and that the research directions with development potential may be generated in key words such as computational modeling,hidden Markov models,hybrid active filters,intelligent systems,analytical models and fall detection.
作者
李玖蔚
LI Jiuwei(Library of Jinggangshan University,Ji'an,Jiangxi Province,343009 China)
出处
《科技资讯》
2023年第14期176-181,共6页
Science & Technology Information
作者简介
李玖蔚(1967—),女,本科,副研究馆员,研究方向为文献计量分析。
