Huzhou University

Region/Country

Asiatic Region
China
Universities and research institutions

Overall

0.459

Integrity Risk

medium

Indicators relating to the period 2020-2024

Indicator University Z-score Average country Z-score
Multi-affiliation
0.472 -0.062
Retracted Output
1.451 -0.050
Institutional Self-Citation
-0.471 0.045
Discontinued Journals Output
0.678 -0.024
Hyperauthored Output
-0.455 -0.721
Leadership Impact Gap
-1.751 -0.809
Hyperprolific Authors
-0.083 0.425
Institutional Journal Output
-0.268 -0.010
Redundant Output
0.202 -0.515
0 represents the global average
AI-generated summary report

EXECUTIVE SUMMARY AND STRATEGIC VISION

Huzhou University presents a composite integrity profile, with an overall score of 0.459 reflecting a balance of significant strengths and specific areas requiring strategic intervention. The institution demonstrates commendable control in areas of research autonomy and citation practices, particularly in its low rates of institutional self-citation, hyperprolific authorship, and a minimal gap between its overall impact and the impact of its internally-led research. These strengths provide a solid foundation for its academic mission. However, this is contrasted by notable vulnerabilities, especially a significant rate of retracted publications and medium-risk signals in multiple affiliations, redundant output, and publication in discontinued journals. According to SCImago Institutions Rankings data, the university's strongest thematic areas include Arts and Humanities (ranked 99th in China), Agricultural and Biological Sciences (ranked 529th globally), and Mathematics (ranked 552nd globally). To protect and enhance its reputation in these key fields, it is crucial to address the identified integrity risks, as practices like high retraction rates directly challenge the pursuit of academic excellence and can undermine the social responsibility inherent in a university's mission. By focusing on strengthening pre-publication quality controls and promoting best practices in authorship and journal selection, Huzhou University can ensure its operational conduct fully aligns with its strategic academic ambitions.

ANALYSIS BY INDICATOR

Rate of Multiple Affiliations

Huzhou University shows a Z-score of 0.472 in this indicator, which represents a moderate deviation from the national average of -0.062. This suggests the institution exhibits a greater sensitivity to risk factors associated with affiliation practices than its national peers. While multiple affiliations are often a legitimate result of researcher mobility or partnerships, this elevated rate signals a need for review. The data indicates that the university's patterns may be leaning towards strategic attempts to inflate institutional credit or "affiliation shopping," a practice that warrants closer examination to ensure all listed affiliations correspond to substantive collaborative work.

Rate of Retracted Output

The institution's Z-score of 1.451 for retracted output marks a severe discrepancy when compared to the national average of -0.050. This atypical level of risk activity is a critical finding that requires a deep integrity assessment. Retractions are complex events, but a rate significantly higher than the global average alerts to a vulnerability in the institution's integrity culture. This suggests that quality control mechanisms prior to publication may be failing systemically, indicating possible recurring malpractice or a lack of methodological rigor that requires immediate qualitative verification by management to safeguard its scientific reputation.

Rate of Institutional Self-Citation

With a Z-score of -0.471, Huzhou University demonstrates a low rate of institutional self-citation, performing notably better than the national average of 0.045, which sits at a medium risk level. This highlights the institution's resilience, as its internal control mechanisms appear to effectively mitigate the systemic risks of academic endogamy observed elsewhere in the country. A certain level of self-citation is natural, but the university's low rate indicates a healthy reliance on external scrutiny and global community recognition, successfully avoiding the 'echo chambers' that can inflate perceived impact through internal dynamics.

Rate of Output in Discontinued Journals

The university's Z-score of 0.678 in this area indicates a moderate deviation from the national standard (-0.024), showing a greater institutional tendency to publish in journals that cease to meet international standards. This constitutes a critical alert regarding due diligence in selecting dissemination channels. A high Z-score indicates that a significant portion of scientific production is being channeled through media that do not meet international ethical or quality standards. This exposes the institution to severe reputational risks and suggests an urgent need for information literacy to avoid wasting resources on 'predatory' or low-quality practices.

Rate of Hyper-Authored Output

Huzhou University has a Z-score of -0.455 for hyper-authored output, which is slightly higher than the national average of -0.721, though both are in the low-risk category. This subtle difference points to an incipient vulnerability, suggesting the institution shows early signals that warrant review before they escalate. While extensive author lists are legitimate in 'Big Science,' this indicator serves as a signal to distinguish between necessary massive collaboration and potential 'honorary' or political authorship practices that could dilute individual accountability and transparency in other fields.

Gap between Impact of total output and the impact of output with leadership

The institution exhibits a Z-score of -1.751, a figure that signals total operational silence in this risk area and is even more robust than the national average of -0.809. This exceptionally low score indicates that the university's scientific prestige is structural and derived from its own internal capacity. It demonstrates that, unlike institutions that may depend on external partners for impact, Huzhou University's excellence metrics are a direct result of research where it exercises clear intellectual leadership, mitigating any risk of a dependent or exogenous reputation.

Rate of Hyperprolific Authors

With a Z-score of -0.083, the university maintains a low-risk profile for hyperprolific authors, contrasting with the medium-risk national average of 0.425. This demonstrates institutional resilience, where control mechanisms appear to successfully mitigate the systemic pressures for extreme productivity seen across the country. By keeping this indicator low, the institution effectively avoids the risks associated with imbalanced quantity-over-quality dynamics, such as coercive authorship or the assignment of authorship without real participation, thereby protecting the integrity of its scientific record.

Rate of Output in Institutional Journals

Huzhou University's Z-score of -0.268 is in the very low-risk range, showing low-profile consistency with the national standard, which sits at a low-risk -0.010. The absence of risk signals in this area aligns with the national environment, indicating that the university is not overly reliant on its own journals for publication. This practice avoids potential conflicts of interest and the risk of academic endogamy, ensuring that its scientific production largely undergoes independent external peer review and is not channeled through internal 'fast tracks' that could bypass standard competitive validation.

Rate of Redundant Output

The institution's Z-score of 0.202 for redundant output creates a monitoring alert, as this medium-risk level is highly unusual when compared to the very low-risk national standard of -0.515. This disparity requires a review of its causes. A high value alerts to the practice of dividing a coherent study into minimal publishable units to artificially inflate productivity, a practice known as 'salami slicing.' This behavior distorts the available scientific evidence and overburdens the review system, suggesting a need to reinforce policies that prioritize the publication of significant new knowledge over sheer volume.

This report was automatically generated using Google Gemini to provide a brief analysis of the university scores.
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