Shenzhen University

Region/Country

Asiatic Region
China
Universities and research institutions

Overall

-0.067

Integrity Risk

low

Indicators relating to the period 2020-2024

Indicator University Z-score Average country Z-score
Multi-affiliation
0.502 -0.062
Retracted Output
-0.137 -0.050
Institutional Self-Citation
-0.546 0.045
Discontinued Journals Output
-0.240 -0.024
Hyperauthored Output
-0.606 -0.721
Leadership Impact Gap
-0.795 -0.809
Hyperprolific Authors
1.271 0.425
Institutional Journal Output
-0.268 -0.010
Redundant Output
-0.615 -0.515
0 represents the global average
AI-generated summary report

EXECUTIVE SUMMARY AND STRATEGIC VISION

Shenzhen University presents a robust and generally well-managed scientific integrity profile, with an overall risk score of -0.067 indicating alignment with expected international standards. The institution demonstrates significant strengths in maintaining low rates of institutional self-citation and output in discontinued journals, and exhibits exemplary control over redundant publications and the use of institutional journals, suggesting a culture that prioritizes external validation and substantive research. However, this strong foundation is contrasted by two areas of medium-risk exposure: a higher-than-average rate of multiple affiliations and a notable concentration of hyperprolific authors. These specific vulnerabilities require strategic attention. According to SCImago Institutions Rankings data, the university's academic prowess is particularly evident in high-impact fields such as Engineering, Computer Science, Earth and Planetary Sciences, and Chemistry, where it holds top-tier global and national rankings. While the institution's specific mission was not available for this analysis, the identified risks, particularly those related to authorship and affiliation practices, could potentially undermine core academic values of excellence and social responsibility by creating a perception that quantitative output is valued over the integrity of the scientific record. A proactive approach to reinforcing authorship guidelines and affiliation policies will be crucial to ensure that these operational risks do not compromise the institution's outstanding academic achievements and its trajectory as a leading global university.

ANALYSIS BY INDICATOR

Rate of Multiple Affiliations

The institution's Z-score of 0.502 for this indicator shows a moderate deviation from the national average of -0.062. This suggests that the university demonstrates a greater sensitivity to risk factors associated with multiple affiliations than its national peers. While multiple affiliations are often a legitimate result of researcher mobility or partnerships, the higher rate at Shenzhen University warrants a review of its causes. It is important to ensure that this trend reflects genuine, productive collaboration rather than strategic attempts to inflate institutional credit or "affiliation shopping," which could dilute the university's distinct academic identity.

Rate of Retracted Output

With a Z-score of -0.137, the institution displays a more prudent profile regarding retracted publications compared to the national average of -0.050. This demonstrates that the university manages its research processes with more rigor than the national standard. Retractions can be complex, but this lower-than-average rate suggests that the institution's quality control mechanisms prior to publication are functioning effectively. This performance points to a culture of responsible supervision and methodological soundness that successfully minimizes the incidence of errors or malpractice requiring post-publication correction.

Rate of Institutional Self-Citation

The institution exhibits considerable resilience to the risks of self-citation, with a Z-score of -0.546, in stark contrast to the national average of 0.045, which falls into a medium-risk category. This indicates that the university's control mechanisms effectively mitigate a systemic risk observed elsewhere in the country. A certain level of self-citation is natural, but the institution's low rate signals a healthy integration with the global scientific community, avoiding the "echo chambers" that can lead to endogamous impact inflation. This result suggests that the university's academic influence is robustly validated by external scrutiny rather than internal dynamics.

Rate of Output in Discontinued Journals

The institution maintains a prudent profile with a Z-score of -0.240, which is significantly lower than the national average of -0.024. This indicates that the university's researchers exercise greater due diligence in selecting dissemination channels than their national counterparts. A high proportion of publications in such journals can be a critical alert for reputational risk, but Shenzhen University's performance suggests its community is well-informed and effectively avoids predatory or low-quality publishing practices, thereby safeguarding its research investment and academic standing.

Rate of Hyper-Authored Output

With a Z-score of -0.606, the institution's rate of hyper-authored output is slightly higher than the national average of -0.721, signaling an area of incipient vulnerability. Although both scores are in a low-risk range, the university shows signals that warrant review before they escalate. Outside of "Big Science" contexts where extensive author lists are normal, a rising trend can indicate author list inflation, which dilutes individual accountability. This minor signal suggests a need to ensure that authorship practices remain transparent and are based on meaningful contributions.

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

The institution's Z-score of -0.795 shows a slight divergence from the national Z-score of -0.809, indicating the presence of minor risk signals that are largely absent in the rest of the country. This small but notable gap suggests that a portion of the institution's scientific prestige may be dependent on collaborations where it does not exercise primary intellectual leadership. While partnering is essential, this signal invites a strategic reflection on bolstering the impact of internally-led research to ensure that the university's reputation for excellence is built upon a foundation of structural, endogenous capacity.

Rate of Hyperprolific Authors

The institution shows high exposure to this risk, with a Z-score of 1.271 that is considerably higher than the national average of 0.425. This indicates that the university is more prone to hosting authors with extreme publication volumes than its peers in a national context already showing medium-risk signals. While high productivity can reflect leadership, such concentrated output challenges the perceived limits of meaningful intellectual contribution and alerts to potential imbalances between quantity and quality. This dynamic points to risks such as coercive authorship or the assignment of credit without real participation, prioritizing metrics over the integrity of the scientific record.

Rate of Output in Institutional Journals

With a Z-score of -0.268, the institution demonstrates a low-profile consistency, performing better than the national average of -0.010. The near-absence of this risk signal aligns with, and improves upon, the national standard. This performance indicates a strong commitment to external, independent peer review, as the university avoids the potential conflicts of interest and academic endogamy associated with over-reliance on in-house journals. By favoring global dissemination channels, the institution ensures its research undergoes competitive validation and achieves international visibility.

Rate of Redundant Output

The institution's Z-score of -0.615 signifies a state of total operational silence regarding this risk, performing even better than the already very low national average of -0.515. This complete absence of risk signals indicates a strong institutional culture that discourages data fragmentation or "salami slicing." It suggests that researchers are focused on producing coherent, significant studies rather than artificially inflating productivity metrics by dividing work into minimal publishable units, thereby upholding the integrity of the scientific evidence base.

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