Shenzhen Institute of Information Technology

Region/Country

Asiatic Region
China
Universities and research institutions

Overall

-0.097

Integrity Risk

low

Indicators relating to the period 2020-2024

Indicator University Z-score Average country Z-score
Multi-affiliation
1.438 -0.062
Retracted Output
-0.578 -0.050
Institutional Self-Citation
-1.384 0.045
Discontinued Journals Output
0.466 -0.024
Hyperauthored Output
-1.082 -0.721
Leadership Impact Gap
0.668 -0.809
Hyperprolific Authors
-0.542 0.425
Institutional Journal Output
-0.268 -0.010
Redundant Output
0.198 -0.515
0 represents the global average
AI-generated summary report

EXECUTIVE SUMMARY AND STRATEGIC VISION

Shenzhen Institute of Information Technology presents a balanced integrity profile, with an overall score of -0.097 that reflects a combination of significant strengths and specific areas requiring strategic attention. The institution demonstrates exemplary performance in critical areas of research integrity, including exceptionally low rates of retracted output, institutional self-citation, and publication in its own journals, complemented by strong controls over hyper-prolific and hyper-authored practices. These strengths suggest a solid foundation of quality control and a commitment to external validation. However, this is contrasted by medium-risk indicators in publication strategy, such as a tendency towards journals that are later discontinued, a high rate of multiple affiliations, and a notable rate of redundant publications. Furthermore, a significant gap between the impact of its total output and that of its internally-led research points to a potential dependency on external collaborations for scientific prestige. According to SCImago Institutions Rankings data, the institution's thematic strengths are concentrated in Environmental Science, Energy, Engineering, and Computer Science. While the institution's specific mission was not available for this analysis, the identified risks—particularly those related to publication quality and impact dependency—could challenge the universal academic values of excellence and social responsibility. To fully align its practices with its research strengths, it is recommended that the institution leverage its robust internal controls to develop a more discerning and strategic publication policy that enhances its intellectual leadership and long-term reputational security.

ANALYSIS BY INDICATOR

Rate of Multiple Affiliations

The institution displays a greater sensitivity to risk factors associated with multiple affiliations than its national peers, marking a moderate deviation from the country's baseline. With a Z-score of 1.438, it stands significantly above the national average of -0.062. While multiple affiliations are often a legitimate result of researcher mobility or partnerships, this 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 collaboration and affiliation policies to ensure they are driven by substantive scientific partnership rather than metric optimization.

Rate of Retracted Output

The institution demonstrates a very low rate of retracted output, with a Z-score of -0.578 that is consistent with the low-risk profile observed nationally (Z-score: -0.050). This absence of significant risk signals indicates that the institution's quality control mechanisms and supervisory processes prior to publication are robust and effective. This performance aligns perfectly with the national standard, reflecting a strong culture of integrity and responsible research conduct.

Rate of Institutional Self-Citation

A commendable preventive isolation is observed in this indicator, where the institution actively avoids the risk dynamics present in its environment. Its exceptionally low Z-score of -1.384 contrasts sharply with the national average of 0.045, which shows a tendency toward self-citation. This result indicates that the institution's work is validated through broad external scrutiny rather than within internal 'echo chambers.' By doing so, the institution effectively mitigates any risk of endogamous impact inflation, ensuring its academic influence is a reflection of global community recognition.

Rate of Output in Discontinued Journals

A moderate deviation from the national trend is observed, with the institution's Z-score of 0.466 indicating greater exposure to this risk compared to the country's average of -0.024. This pattern constitutes a critical alert regarding the due diligence applied in selecting dissemination channels. A high proportion of scientific production being channeled through media that do not meet international ethical or quality standards exposes the institution to severe reputational risks. This suggests an urgent need for enhanced information literacy and stricter guidelines for researchers to avoid wasting resources on 'predatory' or low-quality publication practices.

Rate of Hyper-Authored Output

The institution exhibits a prudent profile in its authorship practices, managing its processes with more rigor than the national standard. Its Z-score of -1.082 is notably lower than the country's average of -0.721, indicating strong governance in this area. This suggests that the institution effectively distinguishes between necessary massive collaboration in 'Big Science' contexts and potentially problematic practices like 'honorary' or political authorship, thereby upholding individual accountability and transparency in its research outputs.

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

This indicator presents a monitoring alert, as the institution's risk level is highly unusual for the national standard and requires a review of its causes. The Z-score of 0.668 stands in stark contrast to the country's very low-risk average of -0.809. Such a wide positive gap, where overall impact is high but the impact of institution-led research is low, signals a potential sustainability risk. This suggests that the institution's scientific prestige may be dependent and exogenous, prompting a strategic reflection on whether its excellence metrics result from genuine internal capacity or from positioning in collaborations where it does not exercise intellectual leadership.

Rate of Hyperprolific Authors

The institution demonstrates notable resilience by effectively mitigating systemic risks that are more prevalent at the national level. Its low Z-score of -0.542 compares favorably to the country's medium-risk average of 0.425, suggesting that its internal control mechanisms are working well. By maintaining a low rate of hyperprolific authors, the institution avoids potential imbalances between quantity and quality and guards against risks such as coercive authorship or authorship assigned without real participation, thereby prioritizing the integrity of the scientific record over the inflation of productivity metrics.

Rate of Output in Institutional Journals

In alignment with the national standard, the institution maintains a very low-risk profile regarding publication in its own journals. The Z-score of -0.268 is consistent with the country's low-risk environment (Z-score: -0.010). This absence of risk signals indicates a healthy publication strategy that avoids potential conflicts of interest and academic endogamy. By prioritizing external, independent peer review, the institution ensures its scientific production achieves global visibility rather than relying on internal 'fast tracks' for dissemination.

Rate of Redundant Output (Salami Slicing)

A monitoring alert is triggered for this indicator due to an unusual risk level compared to the national standard. The institution's Z-score of 0.198 is significantly higher than the country's very low-risk average of -0.515, necessitating a review of the underlying causes. This value warns of the potential practice of dividing a coherent study into minimal publishable units to artificially inflate productivity. This dynamic, known as 'salami slicing,' not only distorts the available scientific evidence but also overburdens the peer-review system, prioritizing publication volume over the generation of significant new knowledge.

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