On the public citation graph

An Accurate QSPR Study of O−H Bond Dissociation Energy in Substituted Phenols Based on Support Vector Machines

0 signed · 78 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 See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.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 this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/0-387-34239-7openalex-snapshot
Estimation of Dependences Based on Empirical Data
inferredcites →https://doi.org/10.1007/978-1-4757-2440-0openalex-snapshot
The Nature of Statistical Learning Theory
inferredcites →https://doi.org/10.1007/s007750050079openalex-snapshot
Computer calculation-based quantitative structure-activity relationships for the oxidation of phenol derivatives horseradish peroxidase compound II
inferredcites →https://doi.org/10.1016/0169-7439(87)80104-1openalex-snapshot
Quantum chemistry program exchange
inferredcites →https://doi.org/10.1016/0306-3623(91)90478-oopenalex-snapshot
Free radicals in biology and medicine
inferredcites →https://doi.org/10.1016/s0022-328x(00)89382-1openalex-snapshot
Structural effects on equilibria in organic chemistry;
inferredcites →https://doi.org/10.1016/s0097-8485(01)00094-8openalex-snapshot
Drug design by machine learning: support vector machines for pharmaceutical data analysis
inferredcites →https://doi.org/10.1016/s0169-7439(02)00017-5openalex-snapshot
Radial basis function neural network-based QSPR for the prediction of critical temperature
inferredcites →https://doi.org/10.1016/s0223-5234(99)80052-xopenalex-snapshot
Neural networks in drug discovery: have they lived up to their promise?
inferredcites →https://doi.org/10.1016/s0262-8856(02)00008-2openalex-snapshot
Composite support vector machines for detection of faces across views and pose estimation
inferredcites →https://doi.org/10.1021/ci025632eopenalex-snapshot
A QSPR Study of O−H Bond Dissociation Energy in Phenols
inferredcites →https://doi.org/10.1021/ci0256438openalex-snapshot
Diagnosing Breast Cancer Based on Support Vector Machines
inferredcites →https://doi.org/10.1021/ci0340355openalex-snapshot
QSAR Study of Ethyl 2-[(3-Methyl-2,5-dioxo(3-pyrrolinyl))amino]-4-(trifluoromethyl) pyrimidine-5-carboxylate: An Inhibitor of AP-1 and NF-κB Mediated Gene Expression Based on Support Vector Machines
inferredcites →https://doi.org/10.1021/cr00082a003openalex-snapshot
Mechanisms of action and reactivities of the free radicals of inhibitors
inferredcites →https://doi.org/10.1021/cr9601021openalex-snapshot
Comparative QSAR: Radical Reactions of Benzene Derivatives in Chemistry and Biology
inferredcites →https://doi.org/10.1021/ja00005a042openalex-snapshot
Substituent effects on the stabilities of phenoxyl radicals and the acidities of phenoxyl radical cations
inferredcites →https://doi.org/10.1021/ja00005a043openalex-snapshot
[3]Rotane: crystal structure, X-X difference electron density, and phase transition
inferredcites →https://doi.org/10.1021/ja00158a002openalex-snapshot
The one-electron reduction potential of 4-substituted phenoxyl radicals in water
inferredcites →https://doi.org/10.1021/ja963378zopenalex-snapshot
Theoretical Calculation of Substituent Effects on the O−H Bond Strength of Phenolic Antioxidants Related to Vitamin E
inferredcites →https://doi.org/10.1023/a:1009715923555openalex-snapshot
A Tutorial on Support Vector Machines for Pattern Recognition
inferredcites →https://doi.org/10.1023/b:stco.0000035301.49549.88openalex-snapshot
A tutorial on support vector regression
inferredcites →https://doi.org/10.1063/1.556020openalex-snapshot
Energetics of the O–H Bond in Phenol and Substituted Phenols: A Critical Evaluation of Literature Data
inferredcites →https://doi.org/10.1080/09553009014552071openalex-snapshot
Free Radicals in Biology and Medicine
inferredcites →https://doi.org/10.2307/2988246openalex-snapshot
Estimation of Dependences Based on Empirical Data.
inferredcites →https://doi.org/10.3390/i3040407openalex-snapshot
The O-H Bond Dissociation Energies of Substituted Phenols and Proton Affinities of Substituted Phenoxide Ions: A DFT Study
inferredcites →https://doi.org/10.5860/choice.27-0936openalex-snapshot
Genetic algorithms in search, optimization, and machine learning

What points at this work

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

inferred← citeshttps://doi.org/10.1002/cem.2508openalex-snapshot
Prediction of liquid‐crystalline property using support vector machine classification
inferred← citeshttps://doi.org/10.1002/chin.200425236openalex-snapshot
An Accurate QSPR Study of O—H Bond Dissociation Energy in Substituted Phenols Based on Support Vector Machines.
inferred← citeshttps://doi.org/10.1002/cjoc.202400049openalex-snapshot
Prediction of Bond Dissociation Energy for Organic Molecules Based on a Machine‐Learning Approach
inferred← citeshttps://doi.org/10.1002/qsar.200430890openalex-snapshot
Support Vector Machine-based QSPR for the Prediction of Van der Waals' Constants
inferred← citeshttps://doi.org/10.1002/qsar.200510166openalex-snapshot
Study on the Structure‐Activity Relationship of New Anti‐HIV Nucleoside Derivatives Based on the Support Vector Machine Method
inferred← citeshttps://doi.org/10.1002/qsar.200610078openalex-snapshot
Quantitative Structure–Activity Relationships Study on the Ah Receptor Binding Affinities of Polybrominated Diphenyl Ethers Using a Support Vector Machine
inferred← citeshttps://doi.org/10.1002/qsar.200630059openalex-snapshot
Quantitative Structure–Activity Relationship Study on a Series of Novel Ligands Binding to Central Benzodiazepine Receptor By Using the Combination of Heuristic Method and Support Vector Machines
inferred← citeshttps://doi.org/10.1007/978-1-61779-012-6_2openalex-snapshot
Computer-Aided Drug Discovery and Development
inferred← citeshttps://doi.org/10.1007/s00216-005-0085-7openalex-snapshot
QSAR study on the Ah receptor-binding affinities of polyhalogenated dibenzo-p-dioxins using net atomic-charge descriptors and a radial basis neural network
inferred← citeshttps://doi.org/10.1007/s00706-016-1794-7openalex-snapshot
Development of validated QSPR models for O–H bond dissociation energy in substituted phenols
inferred← citeshttps://doi.org/10.1007/s00894-015-2572-xopenalex-snapshot
A single theoretical descriptor for the bond-dissociation energy of substituted phenols
inferred← citeshttps://doi.org/10.1007/s10822-005-0095-8openalex-snapshot
The prediction of human oral absorption for diffusion rate-limited drugs based on heuristic method and support vector machine
inferred← citeshttps://doi.org/10.1007/s10822-005-9003-5openalex-snapshot
Prediction of the tissue/blood partition coefficients of organic compounds based on the molecular structure using least-squares support vector machines
inferred← citeshttps://doi.org/10.1007/s10822-008-9225-4openalex-snapshot
Considerations and recent advances in QSAR models for cytochrome P450-mediated drug metabolism prediction
inferred← citeshttps://doi.org/10.1007/s11224-013-0222-4openalex-snapshot
QSPR models for prediction of gas-to-heptane and gas-to-hexadecane solvation enthalpies of organic compounds from theoretical molecular descriptors
inferred← citeshttps://doi.org/10.1007/s11426-024-2072-4openalex-snapshot
AI for organic and polymer synthesis
inferred← citeshttps://doi.org/10.1016/j.aca.2005.04.006openalex-snapshot
Study of quantitative structure–mobility relationship of the peptides based on the structural descriptors and support vector machines
inferred← citeshttps://doi.org/10.1016/j.aca.2006.11.037openalex-snapshot
Prediction of T-cell epitopes based on least squares support vector machines and amino acid properties
inferred← citeshttps://doi.org/10.1016/j.bmcl.2006.03.091openalex-snapshot
The ortho hydroxy-amino group: Another choice for synthesizing novel antioxidants
inferred← citeshttps://doi.org/10.1016/j.chemolab.2009.01.004openalex-snapshot
Classification study of novel piperazines as antagonists for the melanocortin-4 receptor based on least-squares support vector machines
inferred← citeshttps://doi.org/10.1016/j.chemolab.2015.06.016openalex-snapshot
Chemometrics tools in QSAR/QSPR studies: A historical perspective
inferred← citeshttps://doi.org/10.1016/j.chemosphere.2005.08.031openalex-snapshot
The accurate QSPR models to predict the bioconcentration factors of nonionic organic compounds based on the heuristic method and support vector machine
inferred← citeshttps://doi.org/10.1016/j.chroma.2006.01.136openalex-snapshot
Quantitative structure–property relationships for pesticides in biopartitioning micellar chromatography
inferred← citeshttps://doi.org/10.1016/j.envpol.2006.08.030openalex-snapshot
Study on adsorption behavior of volatile and semivolatile organic vapors to air-dry soils based on QSPR methods
inferred← citeshttps://doi.org/10.1016/j.saa.2011.08.046openalex-snapshot
Prediction of the maximum absorption wavelength of azobenzene dyes by QSPR tools
inferred← citeshttps://doi.org/10.1016/j.theochem.2004.10.032openalex-snapshot
A theoretical study on bond dissociation energies and oxidation potentials of monolignols
inferred← citeshttps://doi.org/10.1021/acs.estlett.9b00476openalex-snapshot
A Machine Learning Approach for Predicting Defluorination of Per- and Polyfluoroalkyl Substances (PFAS) for Their Efficient Treatment and Removal
inferred← citeshttps://doi.org/10.1021/acs.iecr.8b05938openalex-snapshot
Developing Quantitative Structure–Property Relationship Models To Predict the Upper Flammability Limit Using Machine Learning
inferred← citeshttps://doi.org/10.1021/ci049820bopenalex-snapshot
QSAR Models for the Prediction of Binding Affinities to Human Serum Albumin Using the Heuristic Method and a Support Vector Machine
inferred← citeshttps://doi.org/10.1021/ci049869hopenalex-snapshot
Effect of Molecular Descriptor Feature Selection in Support Vector Machine Classification of Pharmacokinetic and Toxicological Properties of Chemical Agents
inferred← citeshttps://doi.org/10.1021/ci049891aopenalex-snapshot
Quantitative Prediction of logk of Peptides in High-Performance Liquid Chromatography Based on Molecular Descriptors by Using the Heuristic Method and Support Vector Machine
inferred← citeshttps://doi.org/10.1021/ci049934nopenalex-snapshot
Support Vector Machines-Based Quantitative Structure−Property Relationship for the Prediction of Heat Capacity
inferred← citeshttps://doi.org/10.1021/ci060132xopenalex-snapshot
A Novel Automated Lazy Learning QSAR (ALL-QSAR) Approach: Method Development, Applications, and Virtual Screening of Chemical Databases Using Validated ALL-QSAR Models
inferred← citeshttps://doi.org/10.1039/c4ra05782aopenalex-snapshot
Substituent effect on the radical scavenging activity of 6-chromanol derivatives
inferred← citeshttps://doi.org/10.1039/c5ra03522hopenalex-snapshot
Aryl tosylates as non-ionic photoacid generators (PAGs): photochemistry and applications in cationic photopolymerizations
inferred← citeshttps://doi.org/10.1039/d0sc05251eopenalex-snapshot
BonDNet: a graph neural network for the prediction of bond dissociation energies for charged molecules
inferred← citeshttps://doi.org/10.1039/d3dd00169eopenalex-snapshot
Expansion of bond dissociation prediction with machine learning to medicinally and environmentally relevant chemical space
inferred← citeshttps://doi.org/10.1039/d5sc00541hopenalex-snapshot
Computational tools for the prediction of site- and regioselectivity of organic reactions
inferred← citeshttps://doi.org/10.1080/00319104.2012.708932openalex-snapshot
Application of QSPR for the prediction of gas to 1-octanol solvation enthalpy using support vector regression
inferred← citeshttps://doi.org/10.1080/10629360600934044openalex-snapshot
Quantitative structure-property relationship studies on electrochemical degradation of substituted phenols using a support vector machine
inferred← citeshttps://doi.org/10.1080/1062936x.2015.1018939openalex-snapshot
Comparison of global and mode of action-based models for aquatic toxicity
inferred← citeshttps://doi.org/10.1080/15376510701857353openalex-snapshot
A Hierarchical Clustering Methodology for the Estimation of Toxicity
inferred← citeshttps://doi.org/10.1093/chromsci/47.5.396openalex-snapshot
Quantitative Structure-Retention Relationship Models for the Prediction of the Reversed-Phase HPLC Gradient Retention Based on the Heuristic Method and Support Vector Machine
inferred← citeshttps://doi.org/10.1111/j.1745-7254.2007.00573.xopenalex-snapshot
Support vector machine for SAR/QSAR of phenethyl-amines
inferred← citeshttps://doi.org/10.1149/1.2953588openalex-snapshot
QSPR Study of Passivation by Phenolic Compounds at Platinum and Boron-Doped Diamond Electrodes
inferred← citeshttps://doi.org/10.1186/1758-2946-5-34openalex-snapshot
A big data approach to the ultra-fast prediction of DFT-calculated bond energies
inferred← citeshttps://doi.org/10.2174/1570180820666230427151812openalex-snapshot
Insight into Quantum Computing and Deep Learning Approach for Drug Design
inferred← citeshttps://doi.org/10.2174/157340612804075089openalex-snapshot
QSAR Study On 5-Lipoxygenase Inhibitors Based on Support Vector Machine
inferred← citeshttps://doi.org/10.26434/chemrxiv-2023-d147wopenalex-snapshot
Expansion of Bond Dissociation Prediction with Machine Learning to Medicinally and Environmentally Relevant Chemical Space
inferred← citeshttps://doi.org/10.4018/978-1-60960-818-7.ch517openalex-snapshot
Application of Machine Leaning in Drug Discovery and Development
inferred← citeshttps://doi.org/10.4018/978-1-61520-911-8.ch012openalex-snapshot
Application of Machine Leaning in Drug Discovery and Development
inferred← citeshttps://doi.org/10.5281/zenodo.42342openalex-snapshot
Robust Qam Classification Using Genetic Programming And Fisher Criterion
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.