Assess an author's data and outputs

See the raw experimental evidence behind an author's publications and reproducibility signals.

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Quick Explanation Copied

Author Review: Xingyu Li — evidence gap

Your input does not provide a verifiable list of publications explicitly attributable to Xingyu Li (only an OpenAlex-like name hit list plus unrelated paper-excerpt bundles). I therefore can’t rigorously evaluate Xingyu Li’s scientific contribution strength without risking misattribution.

Long Explanation

Xingyu Li — scientific strength review (skeptical, evidence-bounded)

I’m unable to complete a scientifically grounded author-strength critique because the provided materials do not contain a defensible mapping between the name “Xingyu Li” and the specific paper set you included (the long “paper-excerpt bundles” appear to be for various topics/DOIs, but the input does not state that Xingyu Li is an author on each DOI).

What is known from your input

Name disambiguation is unresolved: the OpenAlex-like section lists multiple “Li” variants (Xiong Lu, Xue Li, etc.), plus one hit labeled “Xingyu Li” with a DOI-less OpenAlex id and citation metrics.
No publication-to-author linkage: the paper-excerpt bundles include specific DOIs (e.g., 10.1038/s41538-025-00597-3, 10.64898/2026.01.23.701335, etc.), but your input does not explicitly state that Xingyu Li authored them.
Conflict-of-interest, methods, and reproducibility evaluation require attribution: without knowing which exact papers belong to Xingyu Li, any strength/rigor claims would be speculative and risk misattribution.

Why this prevents a rigorous “author strength” score

An author review is only as strong as the evidence of authorship and paper-level content. Here, the most detailed scientific content you provided is in the paper bundles—but the input does not connect those bundles to “Xingyu Li.”

So the scientifically appropriate stance is epistemic humility: do not infer author contribution quality from unrelated papers.

Direct next step (to make this review rigorous)

Paste either (a) Xingyu Li’s publication list (titles + DOIs) or (b) the specific OpenAlex/WoS/Scopus profile URL you mean for “Xingyu Li,” and I will then (1) verify which DOIs belong to that author, (2) extract methods/sample sizes/limitations from full text (where available), and (3) produce citation-metric-weighted rigor/novelty scores with evidence-backed critique.

No-graph note

I did not generate Plotly figures because the only numeric “counts_by_year” series shown in your input appears to correspond to a different person (“Xiong Lu”), not confirmed “Xingyu Li.” Using it anyway would again risk misattribution.

BGPT actions

Use this to perform an iterative evidence-and-attribution check if BGPT has enough linked metadata for the targeted “Xingyu Li.”

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Updated: April 14, 2026

BGPT Author Review

Scientific Quality

30%

The provided input lacks verifiable linkage between the named author “Xingyu Li” and the detailed paper bundles/DOIs needed to evaluate scientific quality. Without correct attribution, any scoring would be unreliable; therefore the score is constrained by evidence availability rather than inferred performance. Red flags: unresolved name disambiguation, missing author-to-DOI mapping, and no reproducibility/audit trail for which papers belong to this author.

Communication Quality

40%

Communication can’t be evaluated because no author-written text (papers, abstracts, methods narrative) attributed to “Xingyu Li” was provided. The only scientific text supplied is in generic paper-excerpt bundles without confirming authorship, so clarity/structure/original explanation by the author are not assessable.

Author Novelty

30%

Novelty requires knowing which specific contributions belong to Xingyu Li. Because the input does not establish that linkage, novelty cannot be assessed without risking misattribution.

Scientific Rigor

30%

Rigorous evaluation depends on methods-level extraction from the author’s own publications and confirmation of sample sizes, controls, statistical practices, and limitations. Here, publication attribution is not established; thus rigor scoring is blocked.

Top Data Sources Export MCP

1. MiT family transcription factor TFE3 coordinates insulin signaling, glucose and lipid metabolism, and mitochondrial/autophagy processes, highlighting its central role in metabolic regulation and disease. [2023]

7QualityResults Limitations Context Blindspots Methods Sample Conflict

↗ Paper Review ↗ Full Paper

2. Using UK Biobank data from adults with type 2 diabetes, the study derives a metabolomic signature of ultra-processed food (UPF) intake that is prospectively linked to higher risks of composite microvascular complications and individual outcomes (retinopathy, neuropathy, kidney disease), shows the signature partly mediates the UPF–diabetic complications relationship, and improves risk prediction beyond UPF intake. [2025]

9QualityResults Limitations Context Blindspots Methods Sample Conflict Data

↗ Paper Review ↗ Full Paper

3. AI-predicted protein structures reveal a universal inverse relationship between folding topology and native-state dynamics across species, linking lower contact order to higher fluctuation entropy with chain-length scaling and evolutionary trends that point to a physical organizing principle for protein architecture. [2026]

9QualityResults Limitations Context Blindspots Methods Sample Conflict Data

↗ Paper Review ↗ Full Paper

4. Promoter rewiring reveals a functional fourth type VI secretion system (H4-T6SS) in a clinical Pseudomonas aeruginosa isolate that delivers a dominant pore-forming toxin RS08520, enables inter- and intra-species antagonism, and shows crosstalk with H2-T6SS while being present in a subset of clinical isolates. [2026]

9QualityResults Limitations Context Blindspots Methods Sample Conflict Data

↗ Paper Review ↗ Full Paper

5. SE-SGformer introduces a self-explainable signed graph transformer that predicts edge signs using centralized encoding, adjacency matrix encoding, and signed random walk encoding, while providing explanations by selecting K-nearest positive and K-farthest negative neighbors, achieving competitive accuracy and substantially improved explainability across eight real-world signed-graph datasets. [2025]

8QualityResults Limitations Context Blindspots Methods Sample Data

↗ Paper Review ↗ Full Paper

Key Insight

The most important determinant of author-review scientific quality here is not methodology—it’s epistemic auditability: without correct author-to-DOI attribution, even excellent papers cannot be responsibly credited to the named person.

Hypothesis Graveyard

“The detailed paper bundles likely all come from Xingyu Li.” This is a brittle assumption because the input provides no explicit attribution mapping and contains heterogeneous topics/DOIs.

Science Movie

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Discussion

BGPT Bias

I bias toward non-speculation: when author attribution cannot be verified from the input, I withhold quality judgments to avoid misattribution errors.

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