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Bibliographic records reveal trends in Chinese history scholarship: Evidence from Library of Congress metadata.

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Bibliographic Details
Title: Bibliographic records reveal trends in Chinese history scholarship: Evidence from Library of Congress metadata.
Authors: Kai Li1 kli16@utk.edu, Wenyi Shang2 wenyishang@missouri.edu, Yingying Han3 yhan25@utk.edu
Source: Information Research. 2026 Special Issue, Vol. 31, p1751-1760. 10p.
Database: Academic Search Ultimate
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Text:
  Availability: 1
Header DbId: asn
DbLabel: Academic Search Ultimate
An: 193831182
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: Bibliographic records reveal trends in Chinese history scholarship: Evidence from Library of Congress metadata.
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  Data: <searchLink fieldCode="AR" term="%22Kai+Li%22">Kai Li</searchLink><relatesTo>1</relatesTo><i> kli16@utk.edu</i><br /><searchLink fieldCode="AR" term="%22Wenyi+Shang%22">Wenyi Shang</searchLink><relatesTo>2</relatesTo><i> wenyishang@missouri.edu</i><br /><searchLink fieldCode="AR" term="%22Yingying+Han%22">Yingying Han</searchLink><relatesTo>3</relatesTo><i> yhan25@utk.edu</i>
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  Data: <searchLink fieldCode="JN" term="%22Information+Research%22">Information Research</searchLink>. 2026 Special Issue, Vol. 31, p1751-1760. 10p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=193831182
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.47989/ir31iConf64266
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 10
        StartPage: 1751
    Titles:
      – TitleFull: Bibliographic records reveal trends in Chinese history scholarship: Evidence from Library of Congress metadata.
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          Name:
            NameFull: Kai Li
      – PersonEntity:
          Name:
            NameFull: Wenyi Shang
      – PersonEntity:
          Name:
            NameFull: Yingying Han
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      – BibEntity:
          Dates:
            – D: 02
              M: 01
              Text: 2026 Special Issue
              Type: published
              Y: 2026
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              Value: 13681613
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            – Type: volume
              Value: 31
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            – TitleFull: Information Research
              Type: main
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