Nanjing University of Science and Technology

Region/Country

Asiatic Region
China
Universities and research institutions

Overall

-0.023

Integrity Risk

low

Indicators relating to the period 2020-2024

Indicator University Z-score Average country Z-score
Multi-affiliation
-0.354 -0.062
Retracted Output
0.136 -0.050
Institutional Self-Citation
0.283 0.045
Discontinued Journals Output
-0.281 -0.024
Hyperauthored Output
-1.133 -0.721
Leadership Impact Gap
-0.295 -0.809
Hyperprolific Authors
1.142 0.425
Institutional Journal Output
-0.268 -0.010
Redundant Output
-0.043 -0.515
0 represents the global average
AI-generated summary report

EXECUTIVE SUMMARY AND STRATEGIC VISION

Nanjing University of Science and Technology presents a robust and generally well-managed scientific integrity profile, with an overall risk score of -0.023 indicating a balanced performance that aligns closely with expected global standards. The institution's primary strengths lie in its governance over authorship and publication channels, demonstrated by very low-risk indicators in Hyper-Authored Output and Output in Institutional Journals. However, areas requiring strategic attention have been identified, particularly in the medium-risk categories of Retracted Output, Institutional Self-Citation, and Hyperprolific Authors, which suggest a potential overemphasis on quantitative productivity. These findings are critical in the context of the university's outstanding research performance, with SCImago Institutions Rankings placing it in the global elite in key thematic areas such as Mathematics (51st), Engineering (69th), Computer Science (71st), and Earth and Planetary Sciences (75th). To fully align with its mission of training "high quality and creative personnel" and conducting "high-tech research," it is essential to address these integrity vulnerabilities. A focus on quantity over quality could undermine the credibility that underpins its role in national progress. By leveraging its strong governance foundations to mitigate these specific risks, the university can further solidify its position as a national and global leader committed to both innovation and unimpeachable scientific excellence.

ANALYSIS BY INDICATOR

Rate of Multiple Affiliations

The institution exhibits a prudent profile in its management of multiple affiliations, with a Z-score of -0.354, which is notably more rigorous than the national standard in China (Z-score: -0.062). This result suggests that the university's processes for declaring affiliations are well-controlled and transparent. While multiple affiliations are often a legitimate outcome of researcher mobility or partnerships, this controlled rate indicates the institution is effectively avoiding practices like "affiliation shopping" or strategic attempts to artificially inflate institutional credit, thereby maintaining clarity and integrity in its collaborative footprint.

Rate of Retracted Output

With a Z-score of 0.136, the institution's rate of retracted publications shows a moderate deviation from the national trend (Z-score: -0.050), signaling a greater sensitivity to this risk factor compared to its peers. Retractions are complex events, and while some reflect responsible error correction, a rate significantly above the norm suggests that pre-publication quality control mechanisms may be facing systemic challenges. This finding alerts to a vulnerability in the institution's integrity culture, indicating possible recurring malpractice or a lack of methodological rigor that warrants immediate qualitative verification by management to safeguard research quality.

Rate of Institutional Self-Citation

The university's rate of institutional self-citation (Z-score: 0.283) indicates high exposure to this risk, surpassing the already moderate national average (Z-score: 0.045). This pattern suggests that the institution is more prone than its peers to practices that could lead to scientific isolation. While a certain level of self-citation is natural, disproportionately high rates can signal 'echo chambers' where work is validated internally without sufficient external scrutiny. This trend warns of a risk of endogamous impact inflation, where the institution's academic influence might be oversized by internal dynamics rather than by recognition from the global scientific community.

Rate of Output in Discontinued Journals

The institution demonstrates a prudent approach to selecting publication venues, with a Z-score of -0.281 for output in discontinued journals, a figure that reflects more rigorous management than the national standard (Z-score: -0.024). This low rate is a positive indicator of the university's due diligence. A high proportion of publications in such journals would constitute a critical alert, but this result shows that the institution is successfully guiding its researchers away from channels that fail to meet international ethical or quality standards, thereby protecting its reputation and avoiding the waste of resources on predatory or low-quality practices.

Rate of Hyper-Authored Output

With a Z-score of -1.133, the institution shows a very low rate of hyper-authored output, a position of low-profile consistency that aligns with the national standard (Z-score: -0.721). This absence of risk signals is commendable, as it indicates that authorship practices are generally transparent and accountable. Outside of 'Big Science' contexts where large author lists are normal, hyper-authorship can dilute individual responsibility. This result reflects a healthy institutional culture regarding the assignment of credit, effectively avoiding potential issues of 'honorary' or political authorship.

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

The institution's profile shows a slight divergence from the national context regarding the impact gap, with a Z-score of -0.295 compared to the country's very low score of -0.809. This indicates the emergence of a minor signal of risk activity not prevalent elsewhere in the country. A wide positive gap can suggest that an institution's scientific prestige is dependent on external partners rather than its own structural capacity. While the current level is low, this signal invites a proactive reflection on whether the university's excellence metrics are consistently driven by its own intellectual leadership in collaborations, ensuring long-term sustainability and recognition of its internal research strength.

Rate of Hyperprolific Authors

The institution's rate of hyperprolific authors (Z-score: 1.142) indicates high exposure to this risk, significantly exceeding the national average (Z-score: 0.425). This suggests the university is more prone than its peers to hosting authors with extreme publication volumes. While high productivity can be legitimate, volumes exceeding 50 articles a year often challenge the limits of meaningful intellectual contribution. This indicator serves as an alert for potential imbalances between quantity and quality, pointing to risks such as coercive authorship, data fragmentation, or authorship assignment without real participation—dynamics that prioritize metrics over the integrity of the scientific record.

Rate of Output in Institutional Journals

The university maintains a very low rate of publication in its own journals (Z-score: -0.268), a position of low-profile consistency that aligns with the broader national environment (Z-score: -0.010). This absence of risk signals is a sign of strong academic practice. Excessive dependence on in-house journals can create conflicts of interest and academic endogamy, where research bypasses independent external peer review. By avoiding this, the institution ensures its scientific production is validated through standard competitive channels, enhancing its global visibility and credibility.

Rate of Redundant Output

The institution's rate of redundant output, or 'salami slicing,' shows a slight divergence from the national context, with a Z-score of -0.043 against a country score of -0.515. This suggests the presence of minor risk signals that are not apparent in the rest of the country. Massive bibliographic overlap between publications can indicate data fragmentation, where a single study is divided into minimal units to inflate productivity. Although the current risk level is low, this signal warrants attention to ensure that the institutional culture continues to prioritize the publication of significant new knowledge over the artificial inflation of output volume.

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