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Chen Zhan

Biographic Data

ID5918505
NAMEChen Zhan
GIVEN NAMESChen
FAMILY NAMEZhan
SIGNATUREZHAN C
AFFILIATIONSUniversity of South Australia
ORCID0000-0002-4794-8339
VERIFIEDYes
TOTAL WORKS4
TOTAL CITATIONS12
AUTHOR COUNT4
EDITOR COUNT0
FIRST PUBLICATION YEAR2017
LATEST PUBLICATION YEAR2026
H-INDEX1
  • Rural worlds remembered

    Open Access•Chen Zhan, Amir Karimi•ARTICLE•Rural History•2026

    This paper outlines a structured bibliometric methodology for analyzing rural history as a scholarly field from 1989 to 2025. Drawing from Scopus, a filtered dataset of 436 research articles was compiled through a multi-phase selection process focused on thematic and disciplinary relevance. Using tools such as CiteSpace, VOSviewer, and bibliometrix (R), the study explores patterns in authorship, citations, and keyword usage, offering insights int…

  • How do the existing fairness metrics and unfairness mitigation algorithms contribute to ethical learning analytics

    Open Access•Oscar Blessed Deho, Chen Zhan et al.•ARTICLE•British Journal of Educational…•2022

    With the widespread use of learning analytics (LA), ethical concerns about fairness have been raised. Research shows that LA models may be biased against students of certain demographic subgroups. Although fairness has gained significant attention in the broader machine learning (ML) community in the last decade, it is only recently that attention has been paid to fairness in LA. Furthermore, the decision on which unfairness mitigation algorithm …

  • Technological frameworks on ethical and trustworthy learning analytics

    Open Access•Djazia Ladjal, Srecko Joksimovic et al.•ARTICLE•British Journal of Educational…•2022

  • A sub-national economic complexity analysis of Australia’s states and territories

    Craig J Reynolds, Manju Agrawal et al.•ARTICLE•Regional Studies•2017•Cited by: 12•References: 1

    A sub-national economic complexity analysis of Australia’s states and territories. Regional Studies. This paper applies economic complexity analysis to the Australian sub-national economy (nine regions with 506 exported goods and services). Using a 2009 Australian multi-regional input–output table for base data, we determine the number of export goods or services in which each state and territory has a revealed comparative advantage, and visualiz…

  • A sub-national economic complexity analysis of Australia’s states and territories

    Craig J Reynolds, Manju Agrawal et al.•ARTICLE•Regional Studies•2017•Cited by: 12•References: 1

    A sub-national economic complexity analysis of Australia’s states and territories. Regional Studies. This paper applies economic complexity analysis to the Australian sub-national economy (nine regions with 506 exported goods and services). Using a 2009 Australian multi-regional input–output table for base data, we determine the number of export goods or services in which each state and territory has a revealed comparative advantage, and visualiz…

  • A sub-national economic complexity analysis of Australia’s states and territories

    Craig J Reynolds, Manju Agrawal et al.•ARTICLE•Regional Studies•2017•Cited by: 12•References: 1

    A sub-national economic complexity analysis of Australia’s states and territories. Regional Studies. This paper applies economic complexity analysis to the Australian sub-national economy (nine regions with 506 exported goods and services). Using a 2009 Australian multi-regional input–output table for base data, we determine the number of export goods or services in which each state and territory has a revealed comparative advantage, and visualiz…

  • How do the existing fairness metrics and unfairness mitigation algorithms contribute to ethical learning analytics

    Open Access•Oscar Blessed Deho, Chen Zhan et al.•ARTICLE•British Journal of Educational…•2022

    With the widespread use of learning analytics (LA), ethical concerns about fairness have been raised. Research shows that LA models may be biased against students of certain demographic subgroups. Although fairness has gained significant attention in the broader machine learning (ML) community in the last decade, it is only recently that attention has been paid to fairness in LA. Furthermore, the decision on which unfairness mitigation algorithm …

  • Technological frameworks on ethical and trustworthy learning analytics

    Open Access•Djazia Ladjal, Srecko Joksimovic et al.•ARTICLE•British Journal of Educational…•2022

  • Rural worlds remembered

    Open Access•Chen Zhan, Amir Karimi•ARTICLE•Rural History•2026

    This paper outlines a structured bibliometric methodology for analyzing rural history as a scholarly field from 1989 to 2025. Drawing from Scopus, a filtered dataset of 436 research articles was compiled through a multi-phase selection process focused on thematic and disciplinary relevance. Using tools such as CiteSpace, VOSviewer, and bibliometrix (R), the study explores patterns in authorship, citations, and keyword usage, offering insights int…

Computer Science (3 works) · Analytics (2 works) · Business (2 works) · Data science (2 works) · Ethics and Social Impacts of AI (2 works) · Agrarian society (1 work) · Agriculture, Land Use, Rural Development (1 work) · Artificial Intelligence in Healthcare and Education (1 work) · Big Data and Digital Economy (1 work) · Comparative advantage (1 work)

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