On the public citation graph

Investigation of Mixed Convection in Spinning Nanofluid over Rotating Cone Using Artificial Neural Networks and BVP-4C Technique

0 signed · 51 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 See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.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/zamm.202100035openalex-snapshot

Exploration of Arrhenius activation energy on hybrid nanofluid flow over a curved stretchable surface

inferredcites →https://doi.org/10.1007/s00419-022-02168-4openalex-snapshot

Artificial neural network modeling of MHD slip-flow over a permeable stretching surface

inferredcites →https://doi.org/10.1007/s13204-022-02528-0openalex-snapshot

Neural artificial networking for nonlinear Darcy–Forchheimer nanofluidic slip flow

inferredcites →https://doi.org/10.1016/b978-0-12-823140-1.00005-1openalex-snapshot

Stefan blowing effect on nanofluid flow over a stretching sheet in the presence of a magnetic dipole

inferredcites →https://doi.org/10.1016/j.aej.2020.11.023openalex-snapshot

Numerical approach of micropolar dust-particles natural convection fluid flow due to a permeable cone with nonlinear temperature

inferredcites →https://doi.org/10.1016/j.aej.2022.03.069openalex-snapshot

Thermal energy investigation of magneto-hydrodynamic nano-material liquid flow over a stretching sheet: comparison of single and composite particles

inferredcites →https://doi.org/10.1016/j.amc.2019.01.049openalex-snapshot

Aspects of homogeneous-heterogeneous reactions on natural convection flow of micropolar fluid past a permeable cone

inferredcites →https://doi.org/10.1016/j.asej.2021.101667openalex-snapshot

Heat transport investigation of hybrid nanofluid (Ag-CuO) porous medium flow: Under magnetic field and Rosseland radiation

inferredcites →https://doi.org/10.1016/j.cjph.2022.04.004openalex-snapshot

Modeling of Darcy–Forchheimer bioconvective Powell Eyring nanofluid with artificial neural network

inferredcites →https://doi.org/10.1016/j.csite.2021.101019openalex-snapshot

Influence of radially magnetic field properties in a peristaltic flow with internal heat generation: Numerical treatment

inferredcites →https://doi.org/10.1016/j.csite.2021.101244openalex-snapshot

Heat transport investigation of magneto-hydrodynamics (SWCNT-MWCNT) hybrid nanofluid under the thermal radiation regime

inferredcites →https://doi.org/10.1016/j.csite.2021.101614openalex-snapshot

Numerical simulation and thermal enhancement of multi-based nanofluid over an embrittled cone

inferredcites →https://doi.org/10.1016/j.csite.2022.102140openalex-snapshot

Heat and mass transfer analysis above an unsteady infinite porous surface with chemical reaction

inferredcites →https://doi.org/10.1016/j.csite.2022.102332openalex-snapshot

Impact of exponential form of internal heat generation on water-based ternary hybrid nanofluid flow by capitalizing non-Fourier heat flux model

inferredcites →https://doi.org/10.1016/j.enganabound.2022.05.027openalex-snapshot

Artificial neural network joined with lattice Boltzmann method to study the effects of MHD on the slip velocity of FMWNT/water nanofluid flow inside a microchannel

inferredcites →https://doi.org/10.1016/j.icheatmasstransfer.2021.105683openalex-snapshot

Ohmic heating effects and entropy generation for nanofluidic system of Ree-Eyring fluid: Intelligent computing paradigm

inferredcites →https://doi.org/10.1016/j.icheatmasstransfer.2021.105730openalex-snapshot

Intelligent backpropagated neural networks application on Darcy-Forchheimer ferrofluid slip flow system

inferredcites →https://doi.org/10.1016/j.matcom.2022.05.004openalex-snapshot

Intelligent neuro-computing for entropy generated Darcy–Forchheimer mixed convective fluid flow

inferredcites →https://doi.org/10.1016/j.molliq.2016.07.143openalex-snapshot

Unsteady magneto-nanofluid flow caused by a rotating cone with temperature dependent viscosity: A surgical implant application

inferredcites →https://doi.org/10.1016/j.molliq.2021.116215openalex-snapshot

Exploring magnetic dipole contribution on ferromagnetic nanofluid flow over a stretching sheet: An application of Stefan blowing

inferredcites →https://doi.org/10.1016/j.physa.2018.12.010openalex-snapshot

Evaluating the effect of temperature and concentration on the thermal conductivity of ZnO-TiO2/EG hybrid nanofluid using artificial neural network and curve fitting on experimental data

inferredcites →https://doi.org/10.1016/j.physa.2019.01.055openalex-snapshot

A novel nonlinear regression model of SVR as a substitute for ANN to predict conductivity of MWCNT-CuO/water hybrid nanofluid based on empirical data

inferredcites →https://doi.org/10.1016/j.physa.2019.122142openalex-snapshot

Designing an Artificial Neural Network (ANN) to predict the viscosity of Silver/Ethylene glycol nanofluid at different temperatures and volume fraction of nanoparticles

inferredcites →https://doi.org/10.1016/j.rinp.2014.03.004openalex-snapshot

Mixed convection flow of Eyring–Powell fluid along a rotating cone

inferredcites →https://doi.org/10.1016/j.rser.2010.11.035openalex-snapshot

A review on applications and challenges of nanofluids

inferredcites →https://doi.org/10.1016/j.rser.2016.11.010openalex-snapshot

Heat transfer characteristics in nanofluid—A review

inferredcites →https://doi.org/10.1016/s0096-3003(03)00799-9openalex-snapshot

Unsteady mixed convection flow on a rotating cone in a rotating fluid

inferredcites →https://doi.org/10.1016/s0142-727x(99)00067-3openalex-snapshot

Heat transfer enhancement of nanofluids

inferredcites →https://doi.org/10.1038/s41598-020-80750-yopenalex-snapshot

Hybrid nanofluid flow within the conical gap between the cone and the surface of a rotating disk

inferredcites →https://doi.org/10.1080/10407790.2019.1688056openalex-snapshot

Generalized decomposition method: Applications to nonlinear oscillator and MHD fluid flow past cone/wedge geometries

inferredcites →https://doi.org/10.1080/17455030.2022.2067375openalex-snapshot

Multi-layer artificial neural network modeling of entropy generation on MHD stagnation point flow of Cross-nanofluid

inferredcites →https://doi.org/10.1088/0253-6102/70/5/534openalex-snapshot

Convective Heat and Mass Transfer in Magneto Jeffrey Fluid Flow on a Rotating Cone with Heat Source and Chemical Reaction

inferredcites →https://doi.org/10.1108/hff-10-2015-0412openalex-snapshot

Heat and mass transfer analysis in natural convection flow of nanofluid over a vertical cone with chemical reaction

inferredcites →https://doi.org/10.1134/s2070048222030127openalex-snapshot

Mixed Convection Flow across a Vertical Cone with Heat Source/Sink and Chemical Reaction Effects

inferredcites →https://doi.org/10.1140/epjp/s13360-020-00724-xopenalex-snapshot

A novel study on time-dependent viscosity model of magneto-hybrid nanofluid flow over a permeable cone: applications in material engineering

inferredcites →https://doi.org/10.1142/s0217979222501703openalex-snapshot

Heat transfer analysis in three-dimensional unsteady magnetic fluid flow of water-based ternary hybrid nanofluid conveying three various shaped nanoparticles: A comparative study

inferredcites →https://doi.org/10.1142/s0217979223500315openalex-snapshot

Magnetohydrodynamic squeezing Casson nanofluid flow between parallel convectively heated disks

inferredcites →https://doi.org/10.1155/2010/519659openalex-snapshot

Applications of Nanofluids: Current and Future

inferredcites →https://doi.org/10.14257/ijast.2016.88.05openalex-snapshot

Opposing and Assisting Flow Characteristics of Radiative Casson Fluid due to Cone in the Presence of Induced Magnetic Field

inferredcites →https://doi.org/10.3329/jname.v12i1.21812openalex-snapshot

Prediction of unsteady mixed convection over circular cylinder in the presence of nanofluid- A comparative study of ANN and GEP

inferredcites →https://doi.org/10.3390/mi13020302openalex-snapshot

Activation Energy Impact on Flow of AA7072-AA7075/Water-Based Hybrid Nanofluid through a Cone, Wedge and Plate

inferredcites →https://doi.org/10.3390/nano12060891openalex-snapshot

Numerical and Thermal Investigation of Magneto-Hydrodynamic Hybrid Nanoparticles (SWCNT-Ag) under Rosseland Radiation: A Prescribed Wall Temperature Case

inferredcites →https://doi.org/10.3390/nano12071204openalex-snapshot

Heat Transfer Analysis of Nanostructured Material Flow over an Exponentially Stretching Surface: A Comparative Study

inferredcites →https://doi.org/10.3390/pr9040702openalex-snapshot

Impact of Binary Chemical Reaction and Activation Energy on Heat and Mass Transfer of Marangoni Driven Boundary Layer Flow of a Non-Newtonian Nanofluid

What points at this work

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

inferred← citeshttps://doi.org/10.2139/ssrn.4638637openalex-extracted

Intelligent Neural Computing to Investigate the Heat and Mass Transmission in Nanofluidic System between Two Rotating Permeable Disks

inferred← citeshttps://doi.org/10.1007/s12668-023-01171-5openalex-snapshot

Effect of Thermal Radiation on Electrically Conducting Nanofluid with Slip Conditions and Heat Source Using Artificial Neural Networks

inferred← citeshttps://doi.org/10.1007/s12668-024-01378-0openalex-snapshot

Nanoparticle’s Shape Effect on Mixed Convection Heat Transfer and Flow of Carbon Nanotubes: Numerical Approach

inferred← citeshttps://doi.org/10.1016/j.csite.2024.104531openalex-snapshot

Intelligent neural computing to investigate the heat and mass transmission in nanofluidic system between two rotating permeable disks: Supervised learning mechanism

inferred← citeshttps://doi.org/10.1063/5.0276620openalex-snapshot

Artificial neural network-based machine learning approach to analyzing the influence of variable properties on convection past a rotating cone with Soret and Dufour effects

inferred← citeshttps://doi.org/10.1080/00207160.2025.2576540openalex-snapshot

Application of Bayesian regularized neural networks for simulating blood nanofluid flow in stenotic arteries

inferred← citeshttps://doi.org/10.1080/10407782.2023.2300360openalex-snapshot

Entropy analysis of double diffusion in a Darcy medium with tangent hyperbolic fluid and slip factors over a stretching sheet: Role of viscous dissipation

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.