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Kunwar P. Singh

University of DelhiIN
ORCID0000-0001-7185-2866
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53

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Citations
15,088

via OpenAlex

Publications
21

About

Kunwar P. Singh is a researcher at the University of Delhi, with a focus on developing predictive models for various chemical properties and toxicities. Over a period of four years (2013-2016), he has published 21 papers on topics such as QSAR modeling, quantitative structure-reactivity relationships, and in silico predictions for regulatory purposes.

Research areas

  • Physics
  • Chemistry
  • Mathematics
  • Organic chemistry
  • Quantum mechanics

Publications (21)

Sorted by most cited.

  1. Predicting human intestinal absorption of diverse chemicals using ensemble learning based QSAR modeling approaches

    2016

    View DOI
    57 cites

  2. Predicting carcinogenicity of diverse chemicals using probabilistic neural network modeling approaches

    2013

    View DOI
    55 cites

  3. Predicting Toxicities of Diverse Chemical Pesticides in Multiple Avian Species Using Tree-Based QSAR Approaches for Regulatory Purposes

    2015

    View DOI
    53 cites

  4. Modeling the reactivities of hydroxyl radical and ozone towards atmospheric organic chemicals using quantitative structure-reactivity relationship approaches

    2016

    View DOI
    27 cites

  5. In silico prediction of cellular permeability of diverse chemicals using qualitative and quantitative SAR modeling approaches

    2014

    View DOI
    26 cites

  6. Qualitative and quantitative structure–activity relationship modelling for predicting blood-brain barrier permeability of structurally diverse chemicals

    2015

    View DOI
    25 cites

  7. Estimating sensory irritation potency of volatile organic chemicals using QSARs based on decision tree methods for regulatory purpose

    2015

    View DOI
    24 cites

  8. Predicting binding affinities of diverse pharmaceutical chemicals to human serum plasma proteins using QSPR modelling approaches

    2016

    View DOI
    21 cites

  9. A three-tier QSAR modeling strategy for estimating eye irritation potential of diverse chemicals in rabbit for regulatory purposes

    2016

    View DOI
    17 cites

  10. Modeling the binding affinity of structurally diverse industrial chemicals to carbon using the artificial intelligence approaches

    2015

    View DOI
    5 cites

  11. Investigation of effect of electron temperature on intensity and efficiency of terahertz generated by laser beating in inhomogeneous plasma

    Physica Scripta2020journal article

    View DOI
    0 cites

  12. Limitations of paraxial approximation to model elec-tron acceleration by a laser pulse in vacuum in the presence of an axial magnetic field

    Plasma Research Express2020journal article

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    0 cites

  13. Energy enhancement of accelerated electrons using a sharply chirped profile laser pulse in vacuum

    Plasma Physics and Controlled Fusion2020journal article

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    0 cites

  14. Effect of laser polarization and target location on acceleration of electrons generated during ionization of gases by a laser pulse

    AIP Advances2020journal article

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    0 cites

  15. Bright terahertz (THz) generation by frequency mixing of dichromatic lasers in inhomogeneous cold plasma: Scaling of THz field

    Physics of Plasmas2020journal article

    View DOI
    0 cites

  16. Efficient terahertz (THz) generation by nonlinear mixing of bicolor top-hat lasers in hot plasma

    Physics of Plasmas2020journal article

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    0 cites

  17. Modeling of intense terahertz wave generation with controlled field distribution

    Physics of Plasmas2019journal article

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    0 cites

  18. Quasimonoenergic collimated electrons from the ionization of low density gases by a chirped intense Gaussian laser pulse

    Physics of Plasmas2016journal article

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    0 cites

  19. Effect of initial phase on error in electron energy obtained using paraxial approximation for a focused laser pulse in vacuum

    Journal of Applied Physics2015journal article

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    0 cites

  20. Acceleration of electrons generated during ionization of low density gases by a focused laser pulse

    Physics of Plasmas2015journal article

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    0 cites

  21. Current–voltage characteristics influenced by the nanochannel diameter and surface charge density in a fluidic field-effect-transistor

    Physical Chemistry Chemical Physics1970journal article

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    0 cites