Statistical analysis on articles published in Thermal Power Generation from 2009 to 2012
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Statistical analysis on articles published in Thermal Power Generation from 2009 to 2012
Thermal Power GenerationVol. 42, Issue 6, Pages: 103-112(2013)
作者机构:
西安热工研究院有限公司
作者简介:
基金信息:
DOI:
CLC:{G353}
Published:2013
稿件说明:
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LI Yuan, MA Xinhong, LIU Yingxiong Xi'an Thermal Power Research Institute Co.. Statistical analysis on articles published in Thermal Power Generation from 2009 to 2012[J]. Thermal power generation, 2013, 42(6): 103-112.
DOI:
LI Yuan, MA Xinhong, LIU Yingxiong Xi'an Thermal Power Research Institute Co.. Statistical analysis on articles published in Thermal Power Generation from 2009 to 2012[J]. Thermal power generation, 2013, 42(6): 103-112.DOI:
Statistical analysis on articles published in Thermal Power Generation from 2009 to 2012
statistical analysis on 1 363papers published in Thermal Power Generationfrom 2009 to 2012was performed.The investigation indicated that
this journal published about 28.5articles per issue
and most of them presented the engineering technologies.However
the proportion of papers reporting thermal energy thoeries increased year by year.During the past four years
1 118 authors had written articles for Thermal Power Generation
among which 33authors had written more than 3papers.The average number of authors / affiliations signing name on one paper was 3.5 / 1.5
and the average author / affiliation collaboration rate reached 85.03% / 44.68%
respectively.More than 67% of the papers were from colleges and research institutes.Averagely
about 5.3references appeared in one article.Above 63%of the references were journal articles and dissertations
and the proportion of quoting books decreased.Most of the references were published about 3to 8years ago.The journals quoting or being quoted by Thermal Power Generation were all the ones with high quality in energy and power engineering or electrotechnology.The average number of key words per article was 5.3.Furthermore
on the basis of co-occurrence key words analysis method
the key words appeared in one paper with high co-occurrence frequency were listed.Moreover
against the problems occurred in Thermal Power Generation