从高影响论文角度探讨科技期刊质量控制  

Discussion of quality control of sci-technology journals from the view of high impact journals

作　　者：李雪莲 徐若冰 孟玮 张妍 LI Xuelian;XU Ruo-bing;MENG Wei;ZHANG Yan(Periodical Press of Journal of Harbin Engineering University,1st Building 145 Nan Tong Street,Harbin 150001,China;Editorial Department of CAAI Transactions on Intelligent Systems,1st Building 145 Nan Tong Street,Harbin 150001,China;Editorial Department of Journal of Marine Science and Application,1st Building 145 Nan Tong Street,Harbin 150001,China)

机构地区：[1]哈尔滨工程大学期刊社,黑龙江哈尔滨150001 [2]<智能系统学报>编辑部,黑龙江哈尔滨150001 [3]<船舶与海洋工程学报(英文版)>编辑部,黑龙江哈尔滨150001

出　　处：《哈尔滨师范大学社会科学学报》2019年第2期166-171,共6页Journal of Social Science of Harbin Normal University

基　　金：中国科技期刊国际影响力提升计划(PIIJ2-C-12);黑龙江省哲学社会科学研究规划项目资助(17GLE290)

摘　　要：为实现期刊质量控制,促进科技期刊高水平发展,以中国知网为统计源,以《智能系统学报》2006-2016年刊发论文中高影响论文为研究对象,分析高影响论文的分布规律,以及高影响论文的论文来源、论文类型、作者层次、研究机构、基金分布和学科分布等情况。通过数据分析可以看出:(1)高影响论文往往具有较高的下载量,但二者并不成正比例变化;(2)高影响论文中,专家特约稿件、综述文章、权威机构论文和基金支持论文占了较大比重;(3)从学科分布看,高影响论文中机器人、智能算法、机器学习和自然语言理解方向论文分别占27%、18%、13%、13%,这与CNKI中学术趋势分析中给出的学术关注度曲线相吻合。文章研究结果可以为组织优质稿源、确定热点选题、提升期刊学术影响、实现期刊质量控制提供参考和依据。In order to study the characteristics of high impact papers and improve the academic level of journals,based onthe statistics from CNKI,taking the highly impact papers published in the 2006-2016 years in the CAAI Transactions on Intelligent Systems as the research object,this paper analyzes the distribution rules of highly impact papers,and the sources,types,levels of authors,research institutions,fund distribution and subject distribution of highly impact papers.From the data analysis,we can see that:(1)highly cited papers often have higher downloads,but the two are not necessarily proportional to the change.(2)In the highly influential papers,experts contributed manuscripts,summarization articles,authoritative papers and fund supported papers accounted for a large proportion.From the perspective of subject distribution,the highly impact papers on robotics,intelligent algorithm,machine learning and natural language understanding accounted for 27%,18%,13%and 13%,respectively.This is basically consistent with the academic attention curves given in CNKI academic trend analysis,and can be used as a data support for hot spots.The research results can provide reference and basis for improving the quality of papers and enhancing the academic impact of journals.

关 键 词：智能科学 高影响论文 被引频次 下载量 学术影响 期刊发展 

分 类 号：G237.5[文化科学]