On the public citation graph
Development of Neural Network QSPR Models for Hansch Substituent Constants. 1. Method and Validations
0 signed · 32 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.
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known work and none has been retracted — and get a dated CiteStamped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.
What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/jmr.300050205openalex-snapshot
Quantitative structure–activity relationship studies on benzodiazepine receptor binding: Recognition of active sites in receptor and modelling of interaction
inferredcites →https://doi.org/10.1002/qsar.19970160505openalex-snapshot
Simple Quantum Chemical Parameters as an Alternative to the Hammett Sigma Constants in QSAR Studies
inferredcites →https://doi.org/10.1016/0167-4838(91)90022-ropenalex-snapshot
Separation of electronic and hydrophobic effects for the papain hydrolysis of substituted N-benzoylglycine esters
inferredcites →https://doi.org/10.1016/0968-0896(96)00185-xopenalex-snapshot
Cholecystokinin B antagonists. Synthesis and quantitative structure-activity relationships of a series of C-terminal analogues of CI-988
inferredcites →https://doi.org/10.1021/ci00053a005openalex-snapshot
Atomic physicochemical parameters for three-dimensional-structure-directed quantitative structure-activity relationships. 2. Modeling dispersive and hydrophobic interactions
inferredcites →https://doi.org/10.1021/ci00063a006openalex-snapshot
Atomic physicochemical parameters for three dimensional structure directed quantitative structure-activity relationships. 4. Additional parameters for hydrophobic and dispersive interactions and their application for an automated superposition of certain naturally occurring nucleoside antibiotics
inferredcites →https://doi.org/10.1021/ci00063a007openalex-snapshot
Review of ring perception algorithms for chemical graphs
inferredcites →https://doi.org/10.1021/ci990222kopenalex-snapshot
QSAR Treatment of Electronic Substituent Effects Using Frontier Orbital Theory and Topological Parameters
inferredcites →https://doi.org/10.1021/ci990307lopenalex-snapshot
Prediction of Physicochemical Parameters by Atomic Contributions
inferredcites →https://doi.org/10.1021/cr00002a004openalex-snapshot
A survey of Hammett substituent constants and resonance and field parameters
inferredcites →https://doi.org/10.1021/ja00057a039openalex-snapshot
Neural network classification of inductive and resonance effects of substituents
inferredcites →https://doi.org/10.1021/ja00057a040openalex-snapshot
The equilibrium conformation of ethyl isocyanate revisited
inferredcites →https://doi.org/10.1021/ja00901a033openalex-snapshot
The Correlation of Biological Activity of Plant Growth Regulators and Chloromycetin Derivatives with Hammett Constants and Partition Coefficients
inferredcites →https://doi.org/10.1021/ja00901a034openalex-snapshot
Isolation, Configuration, and Synthesis of Natural cis- and trans-3-Hydroxyprolines
inferredcites →https://doi.org/10.1021/jm9910728openalex-snapshot
Simple Linear QSAR Models Based on Quantum Similarity Measures
inferredcites →https://doi.org/10.1023/a:1008782809845openalex-snapshot
The hydrophobic fragmental constant approach forcalculating log P in octanol/water and aliphatic hydrocarbon/water systems
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1002/9783527645121.ch3openalex-snapshot
Mold2Molecular Descriptors for QSAR
inferred← citeshttps://doi.org/10.1002/aic.16678openalex-snapshot
An architecture of deep learning in QSPR modeling for the prediction of critical properties using molecular signatures
inferred← citeshttps://doi.org/10.1007/978-1-4939-3609-0_18openalex-snapshot
QSAR Models at the US FDA/NCTR
inferred← citeshttps://doi.org/10.1007/978-1-60327-101-1_8openalex-snapshot
Neural Networks in Building QSAR Models
inferred← citeshttps://doi.org/10.1007/s00044-011-9645-xopenalex-snapshot
Topological models for the prediction of antimycobacterial activity of 4-(5-substituted-1,3,4-oxadiazol-2-yl)pyridines
inferred← citeshttps://doi.org/10.1016/b978-0-12-821092-5.00012-7openalex-snapshot
Deep learning in QSPR modeling for the prediction of critical properties
inferred← citeshttps://doi.org/10.1016/j.arabjc.2012.11.021openalex-snapshot
QSAR studies of antimicrobial activity of 1,3-disubstituted-1 H -naphtho[1,2-e][1,3]oxazines using topological descriptors
inferred← citeshttps://doi.org/10.1016/j.bmcl.2006.03.019openalex-snapshot
Quantitative structure–activity relationship studies on HEPTs by supervised stochastic resonance
inferred← citeshttps://doi.org/10.1016/j.jmgm.2016.01.007openalex-snapshot
Quantitative structure–hydrophobicity relationships of molecular fragments and beyond
inferred← citeshttps://doi.org/10.1016/j.theochem.2009.05.009openalex-snapshot
Electronic and molecular structure of aminimides (1-acyl-2,2,2-trimethyl-diazan-2-ium-1-ide). 2. Substituted aminimides (R CON−N+Me3)
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/10.1093/chromsci/46.5.406openalex-snapshot
Prediction of Kovats Retention Indices of Some Aliphatic Aldehydes and Ketones on Some Stationary Phases at Different Temperatures Using Artificial Neural Network
inferred← citeshttps://doi.org/10.1111/j.1747-0285.2012.01351.xopenalex-snapshot
3D‐QSAR Studies on the Inhibitory Activity of Trimethoprim Analogues against Escherichia coli Dihydrofolate Reductase
inferred← citeshttps://doi.org/10.1134/s0012500810030067openalex-snapshot
Neural network modeling of substituent constants on the basis of fragmental descriptors
inferred← citeshttps://doi.org/10.21203/rs.3.rs-1780666/v1openalex-snapshot
Qsar, Molecular Docking, and Adme Studies of Ferulic Acid Derivatives
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.