Tiangong University

Region/Country

Asiatic Region
China
Universities and research institutions

Overall

-0.150

Integrity Risk

low

Indicators relating to the period 2020-2024

Indicator University Z-score Average country Z-score
Multi-affiliation
0.287 -0.062
Retracted Output
-0.024 -0.050
Institutional Self-Citation
0.005 0.045
Discontinued Journals Output
-0.320 -0.024
Hyperauthored Output
-1.193 -0.721
Leadership Impact Gap
-0.580 -0.809
Hyperprolific Authors
0.491 0.425
Institutional Journal Output
-0.268 -0.010
Redundant Output
-0.836 -0.515
0 represents the global average
AI-generated summary report

EXECUTIVE SUMMARY AND STRATEGIC VISION

Tiangong University demonstrates a robust and generally healthy scientific integrity profile, reflected in an overall score of -0.150. The institution exhibits notable strengths in maintaining low-risk research practices, particularly in avoiding hyper-authorship, redundant publications, and excessive reliance on institutional journals. These areas of excellence underscore a commitment to transparent and externally validated scholarship. However, areas requiring strategic attention include the management of multiple affiliations, the rate of hyperprolific authorship, and institutional self-citation, which currently present a medium level of risk. According to SCImago Institutions Rankings data, the university's strongest thematic areas include Environmental Science, Social Sciences, Mathematics, and Engineering. The identified medium-risk indicators could potentially challenge the institutional mission of being "Rigorous, Strict, Practical, Truthful," as they may suggest a focus on metric optimization over the intrinsic quality and verifiable impact of research. To fully embody its mission, the university is encouraged to proactively review its policies in these specific areas, transforming these vulnerabilities into new benchmarks of institutional integrity and reinforcing its position as a leader in responsible research.

ANALYSIS BY INDICATOR

Rate of Multiple Affiliations

With a Z-score of 0.287, Tiangong University's rate of multiple affiliations is notably higher than the national average of -0.062. This moderate deviation indicates that the institution shows a greater sensitivity to this risk factor than its national peers. While multiple affiliations are often a legitimate result of researcher mobility or partnerships, a disproportionately high rate can signal strategic attempts to inflate institutional credit or “affiliation shopping.” This divergence from the national norm suggests a need to review affiliation policies to ensure they reflect genuine collaboration and contribution, rather than practices aimed at maximizing institutional ranking.

Rate of Retracted Output

The institution's Z-score for retracted output is -0.024, which is statistically normal and in close alignment with the national average of -0.050. This indicates that the university's risk level in this area is as expected for its context and size. Retractions are complex events, and some can signify responsible supervision and the honest correction of errors. The current low and stable rate suggests that the institution's pre-publication quality control mechanisms are functioning effectively, without evidence of the systemic failures that a higher rate might imply.

Rate of Institutional Self-Citation

Tiangong University's Z-score for institutional self-citation is 0.005, placing it at a medium risk level that is consistent with the national average of 0.045. This alignment suggests the university's behavior is part of a systemic pattern, reflecting shared practices across the country. A certain level of self-citation is natural and reflects the continuity of established research lines. However, the shared medium-risk level warns of a broader trend toward 'echo chambers,' where work is validated internally without sufficient external scrutiny. This practice carries the risk of endogamous impact inflation, where academic influence is shaped more by internal dynamics than by recognition from the global scientific community.

Rate of Output in Discontinued Journals

The university demonstrates a prudent profile in its selection of publication venues, with a Z-score of -0.320, which is significantly lower and thus more rigorous than the national average of -0.024. This superior performance indicates that the institution manages its publication processes with greater diligence than the national standard. By effectively avoiding discontinued journals, the university mitigates severe reputational risks and demonstrates a strong commitment to channeling its scientific production through media that meet international ethical and quality standards, ensuring its research contributes to credible scholarly discourse.

Rate of Hyper-Authored Output

With a Z-score of -1.193, the institution shows a near-total absence of risk signals related to hyper-authorship, a performance that is even stronger than the low-risk national average of -0.721. This low-profile consistency demonstrates robust governance over authorship practices. This result suggests that the university successfully distinguishes between necessary large-scale collaboration and inappropriate author list inflation, thereby upholding individual accountability and transparency in its research contributions and avoiding practices like 'honorary' or political authorship.

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

The university's Z-score of -0.580 indicates a healthy, low-risk profile where the impact of its self-led research is strong. However, this represents a slight divergence from the national average of -0.809, which is in the very low-risk category. This suggests that while the institution's scientific prestige is largely built on its own structural capacity, it shows a minor signal of dependency on external collaborations for impact when compared to the stronger national baseline. This observation invites reflection on strategies to further bolster intellectual leadership and ensure long-term, fully autonomous scientific sustainability.

Rate of Hyperprolific Authors

The institution's Z-score of 0.491 for hyperprolific authors indicates a medium risk and a high exposure to this issue, surpassing the national average of 0.425. This shows the university is more prone to showing alert signals in this area than its environment. While high productivity can reflect leadership, extreme individual publication volumes often challenge the limits of human capacity for meaningful intellectual contribution. This elevated rate alerts to potential imbalances between quantity and quality, pointing to risks such as coercive authorship or the assignment of authorship without real participation—dynamics that prioritize metrics over the integrity of the scientific record.

Rate of Output in Institutional Journals

Tiangong University shows an exemplary commitment to external validation, with a Z-score of -0.268 for publications in its own journals, placing it in the very low-risk category and well below the national average of -0.010. This low-profile consistency demonstrates that the institution actively avoids the conflicts of interest and academic endogamy associated with excessive self-publishing. By prioritizing independent, external peer review, the university ensures its scientific production achieves global visibility and is not channeled through internal 'fast tracks' that bypass standard competitive validation.

Rate of Redundant Output

The university exhibits total operational silence regarding redundant publications, with a Z-score of -0.836. This near-absence of risk signals is significantly stronger than the already very low national average of -0.515. This outstanding result indicates a deeply embedded institutional culture that values substantive, coherent studies over artificially inflating publication counts. It confirms a commitment to preventing 'salami slicing,' a practice that fragments data into minimal units, thereby protecting the integrity of the scientific evidence base and respecting the academic review system.

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