On the public citation graph

Accurate Desnsity Prediction of Sesquiterpenoid HEDFs and a Multi-Property Computing Server SesquiterPre

https://doi.org/10.2139/ssrn.4659563
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.
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 See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.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/10.1002/9783527823789openalex-extracted
High‐Energy‐Density Fuels for Advanced Propulsion
inferredcites →https://doi.org/10.1002/cssc.201802588openalex-extracted
High‐Performance Jet Fuels Derived from Bio‐Based Alkenes by Iron‐Catalyzed [2+2] Cycloaddition
inferredcites →https://doi.org/10.1002/jcc.22885openalex-extracted
Multiwfn: A multifunctional wavefunction analyzer
inferredcites →https://doi.org/10.1002/prep.202000076openalex-extracted
Assessment of Recent Researches for Reliable Prediction of Density of Organic Compounds as well as Ionic Liquids and Salts Containing Energetic Groups at Room Temperature
inferredcites →https://doi.org/10.1007/978-1-4615-5529-2_4openalex-extracted
Theoretical Models of Learning to Learn
inferredcites →https://doi.org/10.1007/s11224-018-1096-2openalex-extracted
Prediction of density of energetic cocrystals based on QSPR modeling using artificial neural network
inferredcites →https://doi.org/10.1007/s13369-014-1223-3openalex-extracted
A New QSPR Model for Predicting the Densities of Ionic Liquids
inferredcites →https://doi.org/10.1016/0009-2509(72)80096-4openalex-extracted
Equilibrium constants from a modified Redlich-Kwong equation of state
inferredcites →https://doi.org/10.1016/0016-0032(49)90439-1openalex-extracted
Rocket propulsion elements
inferredcites →https://doi.org/10.1016/j.cattod.2014.02.004openalex-extracted
Oligomerization and isomerization of dicyclopentadiene over mesoporous materials produced from zeolite beta
inferredcites →https://doi.org/10.1016/j.chemolab.2009.09.002openalex-extracted
The boosting: A new idea of building models
inferredcites →https://doi.org/10.1016/j.energy.2021.121222openalex-extracted
Experimental study on atomization characteristics of high-energy-density fuels using a fuel slinger
inferredcites →https://doi.org/10.1016/j.fuel.2012.01.062openalex-extracted
Efficient conversion of pure and mixed terpene feedstocks to high density fuels
inferredcites →https://doi.org/10.1016/j.fuel.2021.121906openalex-extracted
Synthesis and performance of cyclopropanated pinanes with high density and high specific impulse
inferredcites →https://doi.org/10.1016/j.fuel.2022.123665openalex-extracted
High energy density renewable fuels based on multicyclic sesquiterpene: Synthesis and performance
inferredcites →https://doi.org/10.1016/j.fuel.2022.126157openalex-extracted
Simple and high-precision DFT-QSPR prediction of enthalpy of combustion for sesquiterpenoid high-energy–density fuels
inferredcites →https://doi.org/10.1016/j.fuproc.2021.107056openalex-extracted
Design and preparation of liquid polycyclic norbornanes as potential high performance fuels for aerospace propulsion
inferredcites →https://doi.org/10.1016/j.fuproc.2022.107179openalex-extracted
Synthesis of caged high-energy-density fuel as potential high-performance energetic additive for liquid aerospace fuel
inferredcites →https://doi.org/10.1016/j.jhazmat.2006.06.135openalex-extracted
Crystal density predictions for nitramines based on quantum chemistry
inferredcites →https://doi.org/10.1016/j.jhazmat.2020.123724openalex-extracted
Quantitative structure-toxicity relationship model for acute toxicity of organophosphates via multiple administration routes in rats and mice
inferredcites →https://doi.org/10.1016/j.tca.2012.10.022openalex-extracted
Development of an artificial neural network model for the prediction of hydrocarbon density at high-pressure, high-temperature conditions
inferredcites →https://doi.org/10.1016/s0166-1280(97)00162-0openalex-extracted
Statistical analysis of the molecular surface electrostatic potential: an approach to describing noncovalent interactions in condensed phases
inferredcites →https://doi.org/10.1021/acs.energyfuels.5b01094openalex-extracted
Assessing the Biological Stability of a Terpene-Based Advanced Biofuel and Its Relationship to the Corrosion of Carbon Steel
inferredcites →https://doi.org/10.1021/acs.energyfuels.5b01715openalex-extracted
Iron(III)-Catalyzed Dimerization of Cycloolefins: Synthesis of High-Density Fuel Candidates
inferredcites →https://doi.org/10.1021/acs.energyfuels.6b01865openalex-extracted
Molecular Design and Characterization of High-Cetane Alkyl Diamondoid Fuels
inferredcites →https://doi.org/10.1021/acs.energyfuels.8b00792openalex-extracted
High Density Alkyl Diamondoid Fuels Synthesized by Catalytic Cracking of Alkanes in the Presence of Adamantane
inferredcites →https://doi.org/10.1021/acs.jcim.0c01393openalex-extracted
Density Prediction Models for Energetic Compounds Merely Using Molecular Topology
inferredcites →https://doi.org/10.1021/acs.jcim.9b00718openalex-extracted
Systematic Modeling of log D7.4 Based on Ensemble Machine Learning, Group Contribution, and Matched Molecular Pair Analysis
inferredcites →https://doi.org/10.1021/acs.jpca.9b11193openalex-extracted
Computational Assessment of the Molecular Structure and Properties for High Energy Density Fuel
inferredcites →https://doi.org/10.1021/cr00088a005openalex-extracted
Intermolecular interactions from a natural bond orbital, donor-acceptor viewpoint
inferredcites →https://doi.org/10.1021/cr010027gopenalex-extracted
Synthesis and Properties of Oligocyclopropyl-Containing Natural Products and Model Compounds
inferredcites →https://doi.org/10.1021/cr078014bopenalex-extracted
Update 1 of: Electrophilicity Index
inferredcites →https://doi.org/10.1021/ct200142zopenalex-extracted
Application of Molecular Dynamics Simulations in Molecular Property Prediction. 1. Density and Heat of Vaporization
inferredcites →https://doi.org/10.1021/ef3001339openalex-extracted
Prediction of Density and Viscosity of Biofuel Compounds Using Machine Learning Methods
inferredcites →https://doi.org/10.1021/ef900799copenalex-extracted
High-Density Renewable Fuels Based on the Selective Dimerization of Pinenes
inferredcites →https://doi.org/10.1021/i160057a011openalex-extracted
A New Two-Constant Equation of State
inferredcites →https://doi.org/10.1021/ie020492jopenalex-extracted
Extension and Revision of the Group Contribution Method GCVOL for the Prediction of Pure Compound Liquid Densities
inferredcites →https://doi.org/10.1021/ie202134zopenalex-extracted
A New Group Contribution Method For Prediction of Density of Pure Ionic Liquids over a Wide Range of Temperature and Pressure
inferredcites →https://doi.org/10.1021/ja00260a006openalex-extracted
Properties of atoms in molecules: atomic volumes
inferredcites →https://doi.org/10.1021/jp073117jopenalex-extracted
Accurate Predictions of Crystal Densities Using Quantum Mechanical Molecular Volumes
inferredcites →https://doi.org/10.1021/jp810292nopenalex-extracted
Universal Solvation Model Based on Solute Electron Density and on a Continuum Model of the Solvent Defined by the Bulk Dielectric Constant and Atomic Surface Tensions
inferredcites →https://doi.org/10.1021/sb4001382openalex-extracted
Microbial Synthesis of Pinene
inferredcites →https://doi.org/10.1039/c3cp55349copenalex-extracted
High-density biosynthetic fuels: the intersection of heterogeneous catalysis and metabolic engineering
inferredcites →https://doi.org/10.1039/c8se00390dopenalex-extracted
Computational design of biofuels from terpenes and terpenoids
inferredcites →https://doi.org/10.1063/1.438955openalex-extracted
Self-consistent molecular orbital methods. XX. A basis set for correlated wave functions
inferredcites →https://doi.org/10.1063/1.464913openalex-extracted
Density-functional thermochemistry. III. The role of exact exchange
inferredcites →https://doi.org/10.1073/pnas.2109408118openalex-extracted
Electrochemical borylation of carboxylic acids
inferredcites →https://doi.org/10.1080/00268970903156306openalex-extracted
An electrostatic interaction correction for improved crystal density prediction
inferredcites →https://doi.org/10.1145/2939672.2939785openalex-extracted
XGBoost
inferredcites →https://doi.org/10.1145/3124791.3124792openalex-extracted
Content-based Neighbor Models for Cold Start in Recommender Systems
inferredcites →https://doi.org/10.1186/s13068-018-1272-zopenalex-extracted
Renewable production of high density jet fuel precursor sesquiterpenes from Escherichia coli
inferredcites →https://doi.org/10.2514/4.868870openalex-extracted
History of Liquid Propellant Rocket Engines
inferredcites →https://doi.org/10.3866/pku.whxb20090332openalex-extracted
Conceptual Density Functional Theory and Some Recent Developments
inferredcites →https://doi.org/10.4230/oasics.dx.2024.27openalex-extracted
On a Method to Measure Supervised Multiclass Model’s Interpretability: Application to Degradation Diagnosis (Short Paper)
inferredcites →https://doi.org/10.48550/arxiv.1705.07874openalex-extracted
A Unified Approach to Interpreting Model Predictions
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.