On the public citation graph
Nonlinear Multivariate Regression Outperforms Several Concisely Designed Neural Networks on Three QSPR Data Sets
0 signed · 55 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known work and none has been retracted — and get a dated CiteStamped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/10.1021/ci00005a005openalex-snapshot
Comparative study of molecular descriptors derived from the distance matrix
inferredcites →https://doi.org/10.1021/ci00005a006openalex-snapshot
Optimum graph-theoretical models for enthalpic properties of alkanes
inferredcites →https://doi.org/10.1021/ci9900175openalex-snapshot
On Topological Indices, Boiling Points, and Cycloalkanes
inferredcites →https://doi.org/10.1021/jm00061a023openalex-snapshot
Statistics using neural networks: chance effects
inferredcites →https://doi.org/10.1021/jm00113a022openalex-snapshot
Applications of neural networks in quantitative structure-activity relationships of dihydrofolate reductase inhibitors
inferredcites →https://doi.org/10.1021/jm00171a038openalex-snapshot
Cyclization-activated prodrugs. Basic esters of 5-bromo-2'-deoxyuridine
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.2415openalex-snapshot
Novel algorithm to select basis functions in spline regression: applications in quantitative structure–activity relationship studies
inferred← citeshttps://doi.org/10.1002/jps.21678openalex-snapshot
Nonlinear Quantitative Structure-Property Relationship Modeling of Skin Permeation Coefficient
inferred← citeshttps://doi.org/10.1002/jssc.200800026openalex-snapshot
QSPR study on GC relative retention time of organic pesticides on different chromatographic columns
inferred← citeshttps://doi.org/10.1002/qsar.200330860openalex-snapshot
Status of HTS Data Mining Approaches
inferred← citeshttps://doi.org/10.1002/qsar.200810202openalex-snapshot
An Optimal Self‐Pruning Neural Network and Nonlinear Descriptor Selection in QSAR
inferred← citeshttps://doi.org/10.1002/sia.1438openalex-snapshot
Classification of adsorbed protein static ToF‐SIMS spectra by principal component analysis and neural networks
inferred← citeshttps://doi.org/10.1007/978-1-60327-101-1_3openalex-snapshot
Bayesian Regularization of Neural Networks
inferred← citeshttps://doi.org/10.1007/s11030-005-9006-0openalex-snapshot
Toxicity of Aliphatic Ethers: A Comparative Study
inferred← citeshttps://doi.org/10.1016/b978-1-898563-76-1.50013-5openalex-snapshot
On the Structural Interpretation of Topological Indices
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.chemolab.2009.01.010openalex-snapshot
Development of a fast and accurate method of 13C NMR chemical shift prediction
inferred← citeshttps://doi.org/10.1016/s0097-8485(01)00111-5openalex-snapshot
Novel atom-type AI indices for QSPR studies of alcohols
inferred← citeshttps://doi.org/10.1016/s0097-8485(01)00128-0openalex-snapshot
Application of novel atom-type AI topological indices to QSPR studies of alkanes
inferred← citeshttps://doi.org/10.1016/s0097-8485(99)00059-5openalex-snapshot
A comparative QSAR study of benzamidines complement–inhibitory activity and benzene derivatives acute toxicity
inferred← citeshttps://doi.org/10.1016/s0166-1280(02)00080-5openalex-snapshot
Application of novel atom-type AI topological indices in the structure–property correlations
inferred← citeshttps://doi.org/10.1016/s0169-409x(03)00117-0openalex-snapshot
Prediction of physicochemical properties based on neural network modelling
inferred← citeshttps://doi.org/10.1016/s0968-0896(01)00375-3openalex-snapshot
QSAR study on toxicity to aqueous organisms using the PI index
inferred← citeshttps://doi.org/10.1016/s0968-0896(02)00211-0openalex-snapshot
Use of the PI Index in Predicting Toxicity of Nitrobenzene Derivatives
inferred← citeshttps://doi.org/10.1016/s1093-3263(01)00149-8openalex-snapshot
Subcellular pharmacokinetics and its potential for library focusing
inferred← citeshttps://doi.org/10.1021/acs.jcim.2c01422openalex-snapshot
The (Re)-Evolution of Quantitative Structure–Activity Relationship (QSAR) Studies Propelled by the Surge of Machine Learning Methods
inferred← citeshttps://doi.org/10.1021/ci0000777openalex-snapshot
Distance-Related Indexes in the Quantitative Structure−Property Relationship Modeling
inferred← citeshttps://doi.org/10.1021/ci000459copenalex-snapshot
Quantitative Structure−Activity Relationship Studies Using Gaussian Processes
inferred← citeshttps://doi.org/10.1021/ci020362lopenalex-snapshot
Novel Atomic-Level-Based AI Topological Descriptors: Application to QSPR/QSAR Modeling
inferred← citeshttps://doi.org/10.1021/ci025636jopenalex-snapshot
Toward Generating Simpler QSAR Models: Nonlinear Multivariate Regression versus Several Neural Network Ensembles and Some Related Methods
inferred← citeshttps://doi.org/10.1021/ci025651oopenalex-snapshot
Atom-Type-Based AI Topological Descriptors: Application in Structure-Boiling Point Correlations of Oxo Organic Compounds
inferred← citeshttps://doi.org/10.1021/ci034037popenalex-snapshot
Use of Variable Selection in Modeling the Secondary Structural Content of Proteins from Their Composition of Amino Acid Residues
inferred← citeshttps://doi.org/10.1021/ci034183vopenalex-snapshot
Boiling Points of Halogenated Aliphatic Compounds: A Quantitative Structure−Property Relationship for Prediction and Validation
inferred← citeshttps://doi.org/10.1021/ci060149fopenalex-snapshot
Melting Point Prediction Employing k -Nearest Neighbor Algorithms and Genetic Parameter Optimization
inferred← citeshttps://doi.org/10.1021/ci700256nopenalex-snapshot
Toward More Reliable 13C and 1H Chemical Shift Prediction: A Systematic Comparison of Neural-Network and Least-Squares Regression Based Approaches
inferred← citeshttps://doi.org/10.1021/cr030440jopenalex-snapshot
Modeling Kinetics of Subcellular Disposition of Chemicals
inferred← citeshttps://doi.org/10.1021/ie0604425openalex-snapshot
Kinney Revisited: An Improved Group Contribution Method for the Prediction of Boiling Points of Acyclic Alkanes
inferred← citeshttps://doi.org/10.1023/b:modi.0000047504.14261.2aopenalex-snapshot
On reformulated Zagreb indices
inferred← citeshttps://doi.org/10.1038/s41524-020-00429-wopenalex-snapshot
Machine learning property prediction for organic photovoltaic devices
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/10.1088/1674-0068/22/01/19-26openalex-snapshot
Neural Network Based on Quantum Chemistry for Predicting Melting Point of Organic Compounds
inferred← citeshttps://doi.org/10.1109/wcica.2008.4593691openalex-snapshot
The Study on Modeling and Control of Double Carbonylation Reaction Process
inferred← citeshttps://doi.org/10.1134/s0022476619050093openalex-snapshot
Prediction of 13C NMR Chemical Shifts of Quinolone Derivatives Based on DFT Calculations
inferred← citeshttps://doi.org/10.1201/9780203010822.ch1openalex-snapshot
General Introduction to QSAR
inferred← citeshttps://doi.org/10.1205/cherd.03144openalex-snapshot
Regression Models Using Pattern Search Assisted Least Square Support Vector Machines
inferred← citeshttps://doi.org/10.1897/01-363openalex-snapshot
Quantitative structure-property relationships for prediction of boiling point, vapor pressure, and melting point
inferred← citeshttps://doi.org/10.20517/jmi.2022.07openalex-snapshot
Recent progress in the data-driven discovery of novel photovoltaic materials
inferred← citeshttps://doi.org/10.3390/91201148openalex-snapshot
Self-organizing Neural Networks for Modeling Robust 3D and 4D QSAR: Application to Dihydrofolate Reductase Inhibitors
inferred← citeshttps://doi.org/10.3390/91201177openalex-snapshot
Variable Connectivity Index as a Tool for Modeling Structure-Property Relationships
inferred← citeshttps://doi.org/10.3390/91201208openalex-snapshot
On Use of the Variable Zagreb vM2 Index in QSPR: Boiling Points of Benzenoid Hydrocarbons
inferred← citeshttps://doi.org/10.3390/ma15155232openalex-snapshot
A Study on the Prediction of Compressive Strength of Self-Compacting Recycled Aggregate Concrete Utilizing Novel Computational Approaches
inferred← citeshttps://doi.org/10.3390/math10132245openalex-snapshot
Prediction of Splitting Tensile Strength of Self-Compacting Recycled Aggregate Concrete Using Novel Deep Learning Methods
inferred← citeshttps://doi.org/10.5562/cca3551openalex-snapshot
Estimation of Random Accuracy and its Use in Validation of Predictive Quality of Classification Models within Predictive Challenges
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.