# Academic generational differences in Chinese universities: Work preferences, research behaviors and research outputs

**Authors:** Yangyang Cui, Hui Guo

PMC · DOI: 10.1371/journal.pone.0339668 · PLOS One · 2025-12-31

## TL;DR

This study explores how different generations of academics in Chinese universities differ in their work preferences, research behaviors, and research outputs.

## Contribution

The study reveals generational differences in research productivity and collaboration patterns in Chinese academia.

## Key findings

- Younger academics produce more high-impact publications and spend more time on research.
- Older academics focus more on social service and collaborate more extensively.
- International cooperation boosts high-impact publications, especially for older researchers.

## Abstract

Utilizing data from the 2018 Survey of Academic Profession in the Knowledge Society in China, this study examines generational divergences in work preferences and research behaviors. It further analyzes how these factors relate to the research outputs. The findings indicate that the younger generation serves as the predominant force in research production, exhibiting pronounced research preferences, dedicating more time to research activities, collaborating less, and producing the highest volume of high-impact publications (HIPs). Conversely, the older generation acts as the ‘social service representative,’ devoting more time to social service, collaborating more extensively on research, and balancing teaching and research responsibilities. The middle generation demonstrates research behaviors exhibiting intermediate associations between the older and younger cohorts. International cooperation correlates with elevated HIPs across all generations, showing the strongest association in the older generation. Research time investment positively correlates with HIPs among the younger and middle generations, while research-oriented preferences exhibit associations with HIPs among the younger and older generations. Consequently, institutions should recalibrate evaluation systems by integrating senior academics’ expertise and fostering intergenerational networks that recognize diverse contributions.

## Full-text entities

- **Diseases:** OG (MESH:C536013), YG (MESH:D004829), COVID-19 (MESH:D000086382), MG (MESH:D010033), HIPs (MESH:D004834)
- **Chemicals:** MG (-)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

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## Figures

10 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12755742/full.md

## References

40 references — full list in the complete paper: https://tomesphere.com/paper/PMC12755742/full.md

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Source: https://tomesphere.com/paper/PMC12755742