On the public citation graph

List operations on chemical graphs. 3. Development of vertex and edge models for fitting retention index data

https://doi.org/10.1021/ci00012a005
0 signed · 19 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.
Claim with ORCID
Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.
See reference health

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1002/qsar.200730097openalex-snapshot
Quantitative Structure–Retention Relationship (QSRR) Study for Predicting Gas Chromatographic Retention Times for Some Stationary Phases
inferred← citeshttps://doi.org/10.1007/bf02292946openalex-snapshot
Use of incremental models to estimate the retention indexes of aromatic compounds
inferred← citeshttps://doi.org/10.1007/bf02492318openalex-snapshot
Use of a semi-empirical topological method to predict the chromatographic retention of branched alkenes
inferred← citeshttps://doi.org/10.1007/s11696-017-0257-xopenalex-snapshot
QSRR prediction of gas chromatography retention indices of essential oil components
inferred← citeshttps://doi.org/10.1016/0003-2670(93)85300-9openalex-snapshot
Prediction of gas chromatographic retention index data by neural networks
inferred← citeshttps://doi.org/10.1016/j.aca.2005.12.058openalex-snapshot
Quantitative structure-retention relationship study of the gas chromatographic retention indices of saturated esters on different stationary phases using novel topological indices
inferred← citeshttps://doi.org/10.1016/j.aca.2007.02.027openalex-snapshot
Prediction of gas chromatography/electron capture detector retention times of chlorinated pesticides, herbicides, and organohalides by multivariate chemometrics methods
inferred← citeshttps://doi.org/10.1016/j.chroma.2026.467218openalex-snapshot
Stereo-sensitive modelling of gas chromatographic retention indices of mono-cycloalkanes in jet fuel range
inferred← citeshttps://doi.org/10.1016/s0003-2670(02)01413-7openalex-snapshot
Prediction of the chromatographic retention of saturated alcohols on stationary phases of different polarity applying the novel semi-empirical topological index
inferred← citeshttps://doi.org/10.1016/s0021-9673(99)00808-0openalex-snapshot
Modeling chromatographic parameters by a novel graph theoretical sub-structural approach
inferred← citeshttps://doi.org/10.1016/s0166-1280(01)00737-0openalex-snapshot
Semi-empirical topological method for prediction of the chromatographic retention of esters
inferred← citeshttps://doi.org/10.1016/s0166-1280(02)00062-3openalex-snapshot
Quantitative structure–property relationship study of chromatographic retention indices and normal boiling points for oxo compounds using the semi-empirical topological method
inferred← citeshttps://doi.org/10.1016/s0169-7439(03)00004-2openalex-snapshot
Atom-type-based AI topological descriptors for quantitative structure–retention index correlations of aldehydes and ketones
inferred← citeshttps://doi.org/10.1021/ci9903206openalex-snapshot
Structurally Diverse Quantitative Structure−Property Relationship Correlations of Technologically Relevant Physical Properties
inferred← citeshttps://doi.org/10.1021/cr900238dopenalex-snapshot
Quantitative Correlation of Physical and Chemical Properties with Chemical Structure: Utility for Prediction
inferred← citeshttps://doi.org/10.1023/a:1017961115124openalex-snapshot
Comparison of the Topological and Dynamic Characteristics of Molecules for Calculating Retention Indices of Organic Compounds
inferred← citeshttps://doi.org/10.1080/10629360108035362openalex-snapshot
Quantitative Structure-Retention Relationships for Gas Chromatographic Retention Indices of Alkylbenzenes with Molecular Graph Descriptors
inferred← citeshttps://doi.org/10.1365/s10337-007-0467-4openalex-snapshot
Prediction of GC Retention Times of Complex Petroleum Fractions Based on Quantitative Structure–Retention Relationships
inferred← citeshttps://doi.org/10.2174/1568026023392922openalex-snapshot
The Present Utility and Future Potential for Medicinal Chemistry of QSAR / QSPR with Whole Molecule Descriptors
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.