- h-index
- 24
- Citations
- 1,806
- Publications
- 128
via OpenAlex
via OpenAlex
About
Shikha Gupta is an academic researcher at the University of Delhi. Her research focus lies in predicting various chemical properties and toxicities using quantitative structure-activity relationship (QSAR) modeling approaches. With a span of 52 publications between 2013 and 2017, Gupta's work explores topics such as intestinal absorption, carcinogenicity, toxicity, and reactivity.
Research areas
- Computer science
- Machine learning
- Artificial intelligence
- Biology
- Mathematics
Publications (128)
Sorted by most cited.
- 232 cites
Nanoindentation of polydimethylsiloxane elastomers: Effect of crosslinking, work of adhesion, and fluid environment on elastic modulus
2005
View DOI - 148 cites
- 115 cites
Adhesive forces significantly affect elastic modulus determination of soft polymeric materials in nanoindentation
2006
View DOI - 71 cites
Multispecies QSAR Modeling for Predicting the Aquatic Toxicity of Diverse Organic Chemicals for Regulatory Toxicology
2014
View DOI - 58 cites
Predicting human intestinal absorption of diverse chemicals using ensemble learning based QSAR modeling approaches
2016
View DOI - 57 cites
A fiber reinforced poroelastic model of nanoindentation of porcine costal cartilage: A combined experimental and finite element approach
2008
View DOI - 55 cites
Predicting carcinogenicity of diverse chemicals using probabilistic neural network modeling approaches
2013
View DOI - 53 cites
Predicting Toxicities of Diverse Chemical Pesticides in Multiple Avian Species Using Tree-Based QSAR Approaches for Regulatory Purposes
2015
View DOI - 41 cites
QSTR Modeling for Qualitative and Quantitative Toxicity Predictions of Diverse Chemical Pesticides in Honey Bee for Regulatory Purposes
2014
View DOI - 38 cites
Multi-target QSTR modeling for simultaneous prediction of multiple toxicity endpoints of nano-metal oxides
2017
View DOI - 37 cites
Modeling the toxicity of chemical pesticides in multiple test species using local and global QSTR approaches
2015
View DOI - 37 cites
Predicting aquatic toxicities of chemical pesticides in multiple test species using nonlinear QSTR modeling approaches
2015
View DOI - 37 cites
Predicting acetyl cholinesterase enzyme inhibition potential of ionic liquids using machine learning approaches: An aid to green chemicals designing
2015
View DOI - 29 cites
QSAR modeling for predicting reproductive toxicity of chemicals in rats for regulatory purposes
2016
View DOI - 29 cites
In silico prediction of toxicity of non-congeneric industrial chemicals using ensemble learning based modeling approaches
2014
View DOI - 28 cites
Erratum: “Nanoindentation of polydimethylsiloxane elastomers: Effect of crosslinking, work of adhesion,and fluid environment on elastic modulus” [J. Mater.Res. 20, 2820 (2005)]
2006
View DOI - 28 cites
Parallel quantum-inspired evolutionary algorithms for community detection in social networks
Applied Soft Computing Journal1970journal article
View DOI - 27 cites
Modeling the reactivities of hydroxyl radical and ozone towards atmospheric organic chemicals using quantitative structure-reactivity relationship approaches
2016
View DOI - 27 cites
- 26 cites
- 26 cites
In silico prediction of cellular permeability of diverse chemicals using qualitative and quantitative SAR modeling approaches
2014
View DOI - 25 cites
Multi-target QSPR modeling for simultaneous prediction of multiple gas-phase kinetic rate constants of diverse chemicals
2017
View DOI - 25 cites
QSAR modeling for predicting mutagenic toxicity of diverse chemicals for regulatory purposes
2017
View DOI - 25 cites
Qualitative and quantitative structure–activity relationship modelling for predicting blood-brain barrier permeability of structurally diverse chemicals
2015
View DOI - 24 cites
Estimating sensory irritation potency of volatile organic chemicals using QSARs based on decision tree methods for regulatory purpose
2015
View DOI - 23 cites
Modeling the pH and temperature dependence of aqueousphase hydroxyl radical reaction rate constants of organic micropollutants using QSPR approach
2017
View DOI - 22 cites
Modeling uptake of nanoparticles in multiple human cells using structure–activity relationships and intercellular uptake correlations
2016
View DOI - 21 cites
Predicting binding affinities of diverse pharmaceutical chemicals to human serum plasma proteins using QSPR modelling approaches
2016
View DOI - 21 cites
Predicting toxicities of ionic liquids in multiple test species – an aid in designing green chemicals
2014
View DOI - 21 cites
- 20 cites
Modeling the aqueous phase reactivity of hydroxyl radical towards diverse organic micropollutants: An aid to water decontamination processes
2017
View DOI - 20 cites
Nonlinear QSAR modeling for predicting cytotoxicity of ionic liquids in leukemia rat cell line: an aid to green chemicals designing
2015
View DOI - 19 cites
The wide range of battery systems: From micro- to structural batteries, from biodegradable to high performance batteries
2025
View DOI - 19 cites
Automated Genre Classification of Books Using Machine Learning and Natural Language Processing
2019
View DOI - 18 cites
Predicting aquatic toxicities of benzene derivatives in multiple test species using local, global and interspecies QSTR modeling approaches
2015
View DOI - 17 cites
A three-tier QSAR modeling strategy for estimating eye irritation potential of diverse chemicals in rabbit for regulatory purposes
2016
View DOI - 15 cites
In silico prediction of the developmental toxicity of diverse organic chemicals in rodents for regulatory purposes
2016
View DOI - 15 cites
Predicting the acute neurotoxicity of diverse organic solvents using probabilistic neural networks based QSTR modeling approaches
2015
View DOI - 14 cites
Room-temperature and temperature-dependent QSRR modelling for predicting the nitrate radical reaction rate constants of organic chemicals using ensemble learning methods
2016
View DOI - 13 cites
- 13 cites
Citation metrics and evaluation of journals and conferences
Journal of Information Science1970journal article
View DOI - 12 cites
Digital assessment: impact on student motivation, peer learning, group dynamics
Journal of Education and Learning (EduLearn)2024journal article
View DOI - 12 cites
- 11 cites
- 11 cites
Quantum inspired genetic algorithm for community structure detection in social networks
GECCO 2014 - Proceedings of the 2014 Genetic and Evolutionary Computation Conference1970conference paper
View DOI - 10 cites
- 9 cites
Three-Tier Strategy for Screening High-Energy Molecules Using Structure–Property Relationship Modeling Approaches
2016
View DOI - 9 cites
Parameter tuning in quantum-inspired evolutionary algorithms for partitioning complex networks
GECCO 2014 - Companion Publication of the 2014 Genetic and Evolutionary Computation Conference1970conference paper
View DOI - 8 cites
Software maintainability prediction of open source datasets using least squares support vector machines
2020
View DOI - 8 cites
Inter-moieties reactivity correlations: an approach to estimate the reactivity endpoints of major atmospheric reactants towards organic chemicals
2016
View DOI - 8 cites
Aspherical Femoral Head with Highly Cross-Linked Ultra-High Molecular Weight Polyethylene Surface Cracking
2007
View DOI - 6 cites
Document Co-citation Analysis using Concept Lattice
Engineering, Technology & Applied Science Research2023journal article
View DOI - 6 cites
An Algorithmic Approach to Machine Learning Techniques for Fraud detection: A Comparative Analysis
2021
View DOI - 6 cites
Modelling the water–plant cuticular polymer matrix membrane partitioning of diverse chemicals in multiple plant species using the support vector machine-based QSAR approach
2018
View DOI - 5 cites
An Optimized Extreme Learning Machine Algorithm for Improving Software Maintainability Prediction
2021
View DOI - 5 cites
Modeling the binding affinity of structurally diverse industrial chemicals to carbon using the artificial intelligence approaches
2015
View DOI - 5 cites
Identifying high energy molecules and predicting their detonation potency using chemometric modelling approaches
2015
View DOI - 4 cites
- 3 cites
International Research Journal of Multidisciplinary Technovation2024journal article
View DOI - 3 cites
Deep Learning in Medical Image Classification and Object Detection: a Survey
International Journal of Image Processing and Pattern Recognition2022journal article
View DOI - 3 cites
Elucidating the moderating role of personality traits in probing the linkage between digital entrepreneurship characteristics and perceived opportunities
2022
View DOI - 3 cites
An Extensive Analysis of Machine Learning Based Boosting Algorithms for Software Maintainability Prediction.
2021
View DOI - 3 cites
Solanum violaceum ortega (Solanaceae): A new species for Rajasthan state, India
2021
- 3 cites
DWSA: A Secure Data Warehouse Architecture for Encrypting Data Using AES and OTP Encryption Technique
2018
View DOI - 3 cites
Performance Analysis of Alamouti and Orthogonal Space -Time Block Codes In MIMO System under Rayleigh Fading Scenario
2014
View DOI - 3 cites
MOEA for discovering Pareto-optimal process models: an experimental comparison
International Journal of Computational Science and Engineering1970journal article
View DOI - 2 cites
- 2 cites
The Scientific World Journal2024journal article
View DOI - 2 cites
- 2 cites
- 2 cites
- 2 cites
MUTUAL LEARNING IN TREE PARITY MACHINES USING CUCKOO SEARCH ALGORITHM FOR SECURE PUBLIC KEY EXCHANGE
2018
View DOI - 2 cites
Macro-Level Learning through Massive Open Online Courses (MOOCs): Strategies and Predictions for the Future2015book chapter
View DOI - 1 cites
- 1 cites
- 1 cites
- 1 cites
An encryption approach to improve the security and performance of data by integrating AES with a modified OTP technique
2024
View DOI - 1 cites
Learner-generated YouTube presentations for formative assessment
STEM Education2023journal article
View DOI - 1 cites
- 1 cites
- 1 cites
Advances in Educational Technologies and Instructional Design2022book chapter
View DOI - 1 cites
GA-ProM: A Genetic Algorithm for Discovery of Complete Process Models from Unbalanced Logs
2022
View DOI - 1 cites
- 1 cites
- 1 cites
Redefining the Classroom
Online Course Management: Concepts, Methodologies, Tools, and Applications2018book chapter
View DOI - 1 cites
Scholarship of Trans Disciplinary Learning (TDL) as an Innovative Pedagogy in University System
2015
View DOI - 1 cites
Predicting the hazardous dose of industrial chemicals in warm-blooded species using machine learning-based modelling approaches
2015
View DOI - 1 cites
- 1 cites
- 1 cites
- 1 cites
- 1 cites
MantaRay-ProM: An efficient process model discovery algorithm
AI Communications1970journal article
View DOI - 1 cites
Modified partition integration method for community detection in multidimensional social networks
Proceedings - International Conference on Natural Computation1970conference paper
View DOI - 1 cites
GECCO 2014 - Companion Publication of the 2014 Genetic and Evolutionary Computation Conference1970conference paper
View DOI - 0 cites
- 0 cites
Deciphering Student Dynamics with Cluster Analysis and Association Rule Mining: An Analysis of Personality, Mental Health, and Academic Performance
2025
View DOI - 0 cites
Bibliometric Study of Journals in Public Administration
Hrvatska i komparativna javna uprava2025journal article
View DOI - 0 cites
A Review of Unconventional Citation Metrics for Scientific Publications
Journal of Mathematics Instruction, Social Research and Opinion2025journal article
View DOI - 0 cites
Conservation, Phytochemical investigations and Medicinal Attributes of Gentiana kurroo Royle: A Review
2025
View DOI - 0 cites
- 0 cites
Exploring Artificial Intelligence PEAS Framework for Enhanced Decision-Making
Recent Research Reviews Journal2024journal article
View DOI - 0 cites
Unveiling the Ethical Challenges of Artificial Intelligence
International Journal of Interdisciplinary and Multidisciplinary Studies (IJIMS)2024journal article
- 0 cites
Impact of Antiretroviral Therapy on Anemia, Hepatotoxicity, and Immune Reconstitution Inflammatory Syndrome in HIV-Tuberculosis Co-Infected Patients
2024
View DOI - 0 cites
Multi-objective Binary Differential Approach with Parameter Tuning for Discovering Business Process Models: MoD-ProM
2024
View DOI - 0 cites
International Journal of Computational Science and Engineering2024journal article
View DOI - 0 cites
- 0 cites
- 0 cites
Advances in Artificial Intelligence and Machine Learning2023journal article
- 0 cites
- 0 cites
A Comprehensive Survey on Covid-19 Prediction Models
Vivekananda Journal of Research2022journal article
- 0 cites
Some important medicinal plants of Rajasthan, India
2021
- 0 cites
- 0 cites
- 0 cites
Fuzzy Page Ranking Scheme in IR System
2016
- 0 cites
Modelling Of Election Algorithm For Coordinator Selection Using NeuroFuzzy Approach In Distributed Computing Environment
2013
- 0 cites
- 0 cites
A quantum evolutionary algorithm inspired by manta ray foraging optimisation
International Journal of Computational Science and Engineering1970journal article
View DOI - 0 cites
ArXiv1970journal article
- 0 cites
Computer Science-agh1970journal article
View DOI - 0 cites
Journal of Engineering Science and Technology Review1970journal article
- 0 cites
Massive Open Online Courses: Promoting Intercultural Communication
Handbook of Research on Teaching Strategies for Culturally and Linguistically Diverse International Students1970book chapter
- 0 cites
A binary differential evolution approach to extract business process models
Soft Computing for Problem Solving1970book chapter
- 0 cites
GA-ProM: A Genetic Algorithm for Discovery of Complete Process Models from Unbalanced Logs
International Conference on Big Data Analytics1970conference paper
- 0 cites
MOEA for discovering Pareto-optimal process models: an experimental comparison
International Journal of Computational Science and Engineering1970journal article
- 0 cites
Discovering pareto-optimal process models
Genetic and Evolutionary Computation Conference1970conference paper
View DOI - 0 cites
Mining Frequent Closed Itemsets for Association Rules
Handbook of Research on Innovations in Database Technologies and Applications: Current and Future Trends1970book chapter
- 0 cites
Mining Frequent Closed Itemsets for Association Rules
Handbook of Research on Innovations in Database Technologies and Applications1970journal article
View DOI