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Check Claims Before You Publish

See how your reported results read as versioned evidence records β€” linked to experiments and limitations.Know what the science actually supports before you trust the answer.

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     Quick Explanation



    The Cheng Peng profile is severely confounded by name disambiguation: the Semantic Scholar record (h-index 2, 14 citations, 24 papers) mixes anesthesiology, orthopedics, economics and engineering, while the claim-level records instead document a coherent, high-quality structural-virology and AI-methods portfolio (e.g., cryo-ET of poxvirus and coronavirus spikes, FDR-calibrated de novo sequencing) with paper quality scores of 8–9 . Attributing a verdict requires resolving which person is intended.


     Long Explanation



    Identity Disambiguation Is the Dominant Uncertainty

    Cheng Peng is one of the most collision-prone names in bibliographic databases. The supplied Semantic Scholar profile shows an h-index of 2, 14 citations, and 24 papers spanning anesthesiology, orthopedics, MRI diagnostics, botanical polysaccharides, economics and civil engineering β€” a pattern characteristic of a merged, disambiguation-corrupted profile rather than a single scientist. By contrast, OpenAlex lists multiple distinct candidates, including one Cheng Peng (ORCID 0000-0003-3303-906X) with 1,080 works, 32,631 citations and h-index 87, and others exceeding h-index 100. These metrics are mutually incompatible, so no single citation profile can honestly describe the queried author without ORCID-level verification.

    What the Claim-Level Records Actually Show

    The evidence records describe a highly coherent research program centered on in-situ structural virology and AI methods for biology. The VACV portal study combines cryo-ET (7,979 particles, 46 cores), AlphaFold3-assisted model building, and 4KA/4KR lysine mutagenesis with three biological replicates to show a lysine-lined constriction compatible with ssRNA export . Companion cryo-ET work resolves on-virion influenza HA oligomers (dimers/pentamers/hexamers; interface-2 disruption abolishes virus rescue) and temperature/receptor-driven spike activation in HCoV-229E (S2-loose rising from 17.4% to 28.0% at 33Β°C; 53.2% Gemini S-hAPN complexes) . Parallel AI-methods papers include Counterpart Calibration Theory for de novo peptide sequencing FDR control (empirical FDR 2.6–5.3% vs 5% target across nine species) , the GDCL-NcDA framework (5CV AUC 0.94–0.98) , and LLM/agent benchmarks (CAMA, SoMe with 9.2M posts) , plus computational materials science on bilayer CrBr3 .

    Rigor, Blindspots and Confidence

    Rigor is consistently strong: multi-model validation, public data/code deposition (EMDB/PDB accessions, GitHub, PRIDE), and mutation-rescue controls are hallmarks of the structural papers. Yet important limitations recur: reliance on AlphaFold3 for component assignment, in vitro core preparations that may not recapitulate in vivo dynamics, host-dependent glycosylation on egg-derived virions, and database-label dependence in FDR calibration . The claimed corpus is also dominated by very recent preprints (2025–2026) with zero recorded incoming citations, so external validation is still pending. What would change this assessment: ORCID confirmation linking (or unlinking) these papers to the queried name; independent replication of the HA interface-2 and portal-pore mutagenesis results; or incoming citations either validating or contradicting the CCT calibration in practice.

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    Updated: September 21, 2026

     BGPT Author Review



    Scientific Quality

    60%

    Score held to 6 despite excellent paper-level quality (8–9 on records) because the queried profile is demonstrably confounded: the h-index-2/14-citation record aggregates unrelated fields, while a separate OpenAlex Cheng Peng shows h-index 87 with 32,631 citations. Without ORCID verification the genuine author's scientific strength cannot be confirmed; the attributed structural-virology/AI corpus is, on its own merits, world-class.



    Communication Quality

    70%

    Papers report quantitative results transparently (particle counts, resolutions, accessions), but several are preprints with dense methods; no author-specific communication signals (reviews, textbooks) are attributable given identity ambiguity.



    Author Novelty

    70%

    The attributed corpus is highly novel β€” first near-atomic on-virion HA oligomer lattices, first resolved poxvirus portal pore, theory-guided de novo FDR calibration β€” though novelty is tied to unverified identity and 2025–2026 preprints lacking incoming citations.



    Scientific Rigor

    80%

    Recorded rigor is high: multi-tool pipelines (RELION/Dynamo/AlphaFold3/PHENIX), n=3 mutant replicates, public EMDB/PDB/GitHub/PRIDE deposits, and explicit falsification criteria. Deductions for AlphaFold3-dependent assignments, in vitro-only preparations, and database-label-dependent calibration.

     Top Data Sources ExportMCP



     Analysis Wizard



    Parsing OpenAlex and Semantic Scholar coauthor networks to compute community-disjoint clustering, disambiguating the 'Cheng Peng' name collision and separating true citation profiles for the structural-virology and AI-methods corpora.



     Hypothesis Graveyard



    Assuming the h-index-2 record belongs to a junior researcher: it instead matches a merged-profile artifact, since a single author cannot plausibly publish on mandibular condyle fractures, earned-value management, and cryo-ET.


    Assuming the structural-virology preprints are from the same person as the AI benchmark papers: both share NSFC grant 32171195 funding, so they plausibly belong to one senior structural-virology group leader, not the disambiguated junior profile.

     Science Art


    Author Review: Cheng Peng Science Art

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