Academic integrity review: 'Research Progress on Anti-corrosion Coatings for Copper Alloy Surfaces' (DOI: 10.11903/1002.6495.2015.102)

Academic fraud report · Geng Detector

Summary

Verdict: No evidence of misconduct found (cleared). The paper, a review article authored by Sui Wenjie, Zhao Wenjie, Qin Liguang, Zhang Xing, Wu Xuedong, and Xue Qunji, published in Corrosion Science and Protection Technology (Vol. 28, No. 1, 2016), was examined against the standard 'Geng student six-style' forensic checks. Because the article is a literature review containing only two original schematic diagrams (thiol and silane self-assembled monolayers on Cu) and no experimental raw images, Western blots, gel images, microscopy, flow cytometry, or statistical charts, image-based duplication and splicing tests are not applicable. Reference list (58 entries) shows a consistent 2003–2015 timeline, with all citations predating the 2015-04-07 manuscript acceptance date; no temporal anomalies or fabricated catalog numbers were detected. No machine-forensic numeric outputs (copy-move, PRNU, noise variance) were applicable given the absence of source imagery. Confidence: high that no image-based fraud is present; limits: text-level plagiarism and citation accuracy were not exhaustively screened.

Verdict

No evidence of academic misconduct identified. The review article was assessed as clear of image-fabrication, image-duplication, image-splicing, and related data-integrity concerns that the standard forensic toolkit targets. Limitations of the assessment are explicitly noted below.

Key findings

Paper type limits image forensics. The manuscript is a narrative review containing only two author-drawn schematic figures (Figure 1: thiol self-assembled monolayer formation on Cu; Figure 2: silane self-assembled monolayer formation on Cu) and no experimental micrographs, blots, electrophoresis images, flow cytometry plots, or statistical charts. Image-reuse and image-splicing checks are therefore not applicable.
Reference list passes consistency check. All 58 cited works were published between 2003 and 2015, and every cited paper predates the manuscript acceptance date of 2015-04-07. Examples include reference [23] Yang Xuegeng et al., Progress in Chemistry, 2003, and references [35] Peng S et al., J. Electrochem. Soc., 2015, and [36] Karthik N et al., Ionics, 2015.
No fabricated identifiers detected. No anomalous reagent catalog numbers, equipment model numbers, or ethics approval codes were found.
No machine-forensic numeric findings. Copy-move, PRNU, and noise-variance analyses produced no reportable values because the paper contains no source imagery amenable to such tests; corresponding claims from the preliminary draft were cleared during re-verification.

Evidence highlights

DOI: 10.11903/1002.6495.2015.102 (preserved verbatim).
Figure captions as printed in the source: "图1 硫醇在Cu表面形成自组装单分子膜示意图" and "图2 硅烷在Cu表面形成自组装单分子膜示意图" — both labeled as schematic illustrations, not experimental images.
Reference span: [1]–[58], earliest 2003, latest 2015, all ≤ 2015-04-07 acceptance date.
Publication metadata: Corrosion Science and Protection Technology, Vol. 28, No. 1, January 2016; preprint source chinaXiv (202303.10505v1.pdf).

Notes

Review articles sit outside the high-risk zone for image-based fraud because they do not present original experimental imagery; this structural feature, rather than exonerating content, explains the absence of positive forensic signals.
Text-level similarity and granular citation accuracy (e.g., paraphrasing closeness to source reviews) were not exhaustively screened in this review and would require dedicated text-mining or PubPeer-style community verification.
All findings carry the inherent uncertainty of any automated screening pass; false negatives remain possible, particularly for forms of misconduct (e.g., unattributed text recycling) outside the scope of the checks applied.