North China Electric Power University

Region/Country

Asiatic Region
China
Universities and research institutions

Overall

0.102

Integrity Risk

medium

Indicators relating to the period 2020-2024

Indicator University Z-score Average country Z-score
Multi-affiliation
-1.077 -0.062
Retracted Output
0.859 -0.050
Institutional Self-Citation
0.990 0.045
Discontinued Journals Output
-0.280 -0.024
Hyperauthored Output
-0.880 -0.721
Leadership Impact Gap
-1.082 -0.809
Hyperprolific Authors
1.039 0.425
Institutional Journal Output
-0.268 -0.010
Redundant Output
-0.411 -0.515
0 represents the global average
AI-generated summary report

EXECUTIVE SUMMARY AND STRATEGIC VISION

With an overall risk score of 0.102, North China Electric Power University demonstrates a robust and generally well-managed scientific integrity framework. The institution exhibits significant strengths in areas of governance and autonomy, reflected by very low-risk indicators for Multiple Affiliations, the Gap in Impact of led research, and Output in Institutional Journals. These results signal strong internal policies and a commitment to external validation. However, the analysis identifies vulnerabilities requiring strategic attention in three medium-risk areas: the Rate of Retracted Output, Institutional Self-Citation, and the Rate of Hyperprolific Authors. These indicators suggest potential challenges in pre-publication quality control, academic endogamy, and authorship practices. These findings are particularly relevant given the university's outstanding performance in key thematic areas, as evidenced by SCImago Institutions Rankings data, including world-leading positions in Energy (Top 5), Mathematics (Top 40), Engineering (Top 55), and Environmental Science (Top 55). The institution's mission to train "high-quality talents" and promote "scientific and technological progress" is directly supported by its thematic excellence but is potentially undermined by the identified integrity risks, which could challenge the perception of quality and rigor. To fully align its operational practices with its stated mission of excellence, it is recommended that the university focuses on developing targeted policies and training to mitigate the risks associated with retractions, self-citation, and hyperprolificity, thereby reinforcing its position as a leader in the national energy and power industry.

ANALYSIS BY INDICATOR

Rate of Multiple Affiliations

The institution presents a Z-score of -1.077, a value indicating an almost complete absence of this risk, which is significantly lower than the national average of -0.062. This result demonstrates a clear and stable affiliation policy that aligns perfectly with the secure standards observed nationally. The university's operational silence in this area is a sign of strong governance, effectively preventing any strategic attempts to inflate institutional credit or engage in “affiliation shopping,” thereby ensuring that academic contributions are transparently and accurately attributed.

Rate of Retracted Output

With a Z-score of 0.859, the institution shows a moderate risk level that deviates from the low-risk national benchmark of -0.050. This discrepancy suggests that the university is more susceptible to the factors leading to retractions than its peers across the country. A rate significantly higher than the average alerts to a potential vulnerability in the institution's integrity culture. This finding indicates that quality control mechanisms prior to publication may be failing more frequently, pointing to 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

The university's Z-score for this indicator is 0.990, which, while within the medium-risk category shared by the national average (0.045), is substantially higher. This high exposure suggests the institution is more prone to practices that can be perceived as academic insularity. A disproportionately high rate of self-citation can signal concerning scientific isolation or 'echo chambers' where the institution validates its own work without sufficient external scrutiny. This value warns of the risk of endogamous impact inflation, suggesting that the institution's academic influence may be oversized by internal dynamics rather than by recognition from the global scientific community.

Rate of Output in Discontinued Journals

The institution's Z-score of -0.280 is well within the low-risk category and is notably lower than the national average of -0.024. This prudent profile indicates that the university manages its selection of publication venues with greater rigor than the national standard. This demonstrates a commendable due diligence process in choosing dissemination channels, effectively mitigating reputational risks by avoiding 'predatory' or low-quality journals and ensuring that its research output is channeled through reputable and enduring media.

Rate of Hyper-Authored Output

With a Z-score of -0.880, the institution maintains a low-risk profile that is even more conservative than the national average of -0.721. This result points to a prudent and rigorous approach to authorship attribution. The university's low rate suggests that it effectively distinguishes between legitimate large-scale collaborations and practices of author list inflation. This commitment to transparency and accountability in authorship reinforces the integrity of its research contributions and ensures that credit is assigned appropriately.

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

The institution exhibits a Z-score of -1.082, signifying a near-total absence of risk and outperforming the already strong national average of -0.809. This exceptional result reflects total operational silence in this area, providing a powerful indicator of scientific autonomy and sustainable research capacity. It demonstrates that the university's scientific prestige is not dependent on external partners but is driven by genuine internal capabilities and intellectual leadership, ensuring that its excellence metrics are a true reflection of its own structural strengths.

Rate of Hyperprolific Authors

The university's Z-score of 1.039 places it in the medium-risk category, showing significantly higher exposure compared to the national average of 0.425. Although this may be a systemic pattern nationally, the university's heightened rate is a clear alert signal. Extreme individual publication volumes challenge the limits of meaningful intellectual contribution and can point to imbalances between quantity and quality. This indicator warns of potential risks such as coercive authorship, 'salami slicing,' or the assignment of authorship without real participation—dynamics that prioritize metrics over the integrity of the scientific record and require institutional review.

Rate of Output in Institutional Journals

With a Z-score of -0.268, the institution shows a very low risk, surpassing the already low-risk national average of -0.010. This near-absence of publications in its own journals demonstrates a strong commitment to external, independent validation. By consistently seeking review and dissemination through the global scientific community, the university effectively avoids potential conflicts of interest and the risks of academic endogamy, thereby enhancing the credibility and international visibility of its research.

Rate of Redundant Output

The institution's Z-score of -0.411 indicates a low level of risk, yet it represents a slight divergence from the national baseline, which stands at a very low-risk -0.515. This suggests the emergence of early risk signals at the university that are not prevalent in the rest of the country. While the current level is not alarming, it warrants monitoring as it may indicate a tendency toward data fragmentation or 'salami slicing'—the practice of dividing a study into minimal publishable units to artificially inflate productivity. If unchecked, this practice can distort the scientific evidence base and should be addressed proactively.

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