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Feiya Su

Biographic Data

ID9487446
NAMEFeiya Su
GIVEN NAMESFeiya
FAMILY NAMESu
SIGNATURESU F
AFFILIATIONSUniversity of Malaya
ORCID0009-0004-6462-8603
VERIFIEDYes
TOTAL WORKS2
TOTAL CITATIONS0
WORKS AS AUTHOR2
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2025
LATEST PUBLICATION YEAR2026
H-INDEX0
  • Efficiency or intensification? A systematic review of generative AI and academic workload in higher education

    Open Access•Feiya Su, Wen Fen Beh et al.•ARTICLE•Acta Psychologica•2026

    The rapid emergence of generative artificial intelligence (GenAI) in higher education has prompted critical discussions regarding its impact on faculty workload. Existing evidence is fragmented and lacks systematic synthesis, leaving it unclear whether GenAI alleviates or intensifies academic work. To address this gap, this study conducted a systematic review of 30 empirical studies following the Preferred Reporting Items for Systematic Reviews a…

  • Reconstructing Minyue Kingdom’s roads

    Open Access•Li Wang, Xiaowen Zhao et al.•ARTICLE•Journal of Chinese Architecture…•2025

    This study utilizes high-resolution digital elevation models (DEM) and Landsat 8 remote sensing imagery to reconstruct the ancient road networks of the Minyue Kingdom in present-day Fujian province, China, focusing on the Qin dynasty (221 – 206 BCE) and Eastern Han dynasty (25 – 220). Using 12.5 m precision DEMs for elevation and Landsat 8 for land use and environmental data, a cost surface model was developed, leveraging the region’s stable geog…

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  • Reconstructing Minyue Kingdom’s roads

    Open Access•Li Wang, Xiaowen Zhao et al.•ARTICLE•Journal of Chinese Architecture…•2025

    This study utilizes high-resolution digital elevation models (DEM) and Landsat 8 remote sensing imagery to reconstruct the ancient road networks of the Minyue Kingdom in present-day Fujian province, China, focusing on the Qin dynasty (221 – 206 BCE) and Eastern Han dynasty (25 – 220). Using 12.5 m precision DEMs for elevation and Landsat 8 for land use and environmental data, a cost surface model was developed, leveraging the region’s stable geog…

  • Efficiency or intensification? A systematic review of generative AI and academic workload in higher education

    Open Access•Feiya Su, Wen Fen Beh et al.•ARTICLE•Acta Psychologica•2026

    The rapid emergence of generative artificial intelligence (GenAI) in higher education has prompted critical discussions regarding its impact on faculty workload. Existing evidence is fragmented and lacks systematic synthesis, leaving it unclear whether GenAI alleviates or intensifies academic work. To address this gap, this study conducted a systematic review of 30 empirical studies following the Preferred Reporting Items for Systematic Reviews a…

Archaeology (1 work) · Artificial Intelligence in Healthcare and Education (1 work) · Computer network (1 work) · Computer Science (1 work) · Cultural heritage (1 work) · Cultural Heritage Management and Preservation (1 work) · Employability (1 work) · Ethics and Social Impacts of AI (1 work) · Generative grammar (1 work) · Geography (1 work)

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