Page 232 - Journal of Library Science in China, Vol.47, 2021

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Extended English abstracts of articles published in the Chinese edition of Journal of Library Science in China, Vol.47, 2021 231

content analysis method to analyze the problem statement sentences, summarize the types and
language description rules of problem knowledge units, and then the logic structure of the problem
knowledge units is further analyzed based on the description rules.
The main conclusions of this study are as follows. First, according to the solving goal of problem
knowledge units in academic papers, this study divides problem knowledge units into three
types: the problem knowledge unit of comprehension, the problem knowledge unit of problem-
solving, the problem knowledge unit of exploration. Among them, the problem knowledge unit
of comprehension is about the identification and research of the nature and state of the research
object; the problem knowledge unit of problem-solving is the study of the specific solution of
a certain problem; the problem knowledge unit of exploration is the research on the internal
mechanism and regularity of things. Second, problem knowledge units of various types have more
general language description rules and logical structures. Third, the sentences used to express the
problem knowledge units can be divided into three types: general interrogative sentences, special
interrogative sentences, and declarative sentences. Most of them are declarative sentences.
This research involves a single subject area, there are few periodicals covered, the analysis
results are not representative enough, and lack of verification of the description rules. The problem
knowledge units’description rules and logical structure are both artificially constructed, and there
is a large subjectivity. It is not known whether it is versatile in other subject areas.

Strengthened analyses of semantic features: review of full-text bibliometrics
of academic documents
LU Chao, ZHANG Chengzhi , WANG Yuzhuo & DING Ying
〇a *
Since the establishment of SCI, citation analysis, purely using bibliographic data, has been applied
to multiple research areas. However, with the growing need in reality, inherent limitations of the
citation analysis have brought obstacles to a comprehensive evaluation of examinees’ scientific
impact. The abundance of full-text data from scientific documents instead provides an opportunity
for us to deepen and widen bibliometric studies. Thus, this article seeks to understand the
influential progress of each branch of studies in full-text bibliometric analysis, analyze issues and
problems faced and signify the outlook ahead through a systematic review of studies in this area.
This paper builds search queries to access related literature from several databases. We
get 67 related research articles on Web of Science, 69 on CNKI (China National Knowledge
Infrastructure), and 29 conference proceedings on ACM digital library. These 165 articles with
necessary literature searched from Google Scholar comprise this literature survey.
After reading the collected articles, we first introduce related concepts in this area of study,

* Correspondence should be addressed to ZHANG Chengzhi, Email:zhangcz@njust.edu.cn, ORCID:0000-0001-8121-4796.