| Relevance of machine learning techniques and various protein features in protein fold classification: a review K Patil, U Chouhan Current Bioinformatics 14 (8), 688-697, 2019 | 21 | 2019 |
| Machine learning approaches to study HIV/AIDS infection: A Review S Kumari, U Chouhan, SK Suryawanshi Biosci. Biotech. Res. Comm 10 (1), 34-43, 2017 | 15 | 2017 |
| A multicompartment mathematical model to study the dynamic behaviour of COVID-19 using vaccination as control parameter S Kurmi, U Chouhan Nonlinear Dynamics 109 (3), 2185-2201, 2022 | 14 | 2022 |
| Identification of novel inhibitors against Cyclin Dependent Kinase 9/Cyclin T1 complex as: Anti cancer agent A Hussain, CK Verma, U Chouhan Saudi Journal of Biological Sciences 24 (6), 1229-1242, 2017 | 13 | 2017 |
| Subcellular localization of proteins A Dubey, U Chouhan Archives of Applied Science Research 3 (6), 392-401, 2011 | 13 | 2011 |
| SVM model for amino acid composition based prediction of mycobacterium tuberculosis L Pillai, B Pant, U Chauhan, KR Pardasani J Comput Sci Syst Biol 4, 047-049, 2011 | 11 | 2011 |
| Machine learning model for HIV1 and HIV2 enzyme secondary structure classification A Dubey, B Pant, U Chouhan J. Comput. Method. Mol. Design 1 (2), 1-8, 2011 | 8 | 2011 |
| A maximum parsimony model to reconstruct phylogenetic network in honey bee evolution U Chouhan, KR Pardasani International Journal of Bioengineering and Life Sciences 1 (10), 129-133, 2007 | 8 | 2007 |
| Comparative study of machine learning approaches for classification and prediction of selective caspase-3 antagonist for Zika virus drugs U Ray, U Chouhan, N Verma Neural Computing and Applications 32, 11311-11328, 2020 | 7 | 2020 |
| Comparative study of machine learning techniques for genome scale discrimination of recombinant HIV-1 strains AK Dwivedi, U Chouhan Journal of Medical Imaging and Health Informatics 6 (2), 425-430, 2016 | 7 | 2016 |
| A review of various machine learning techniques for brain tumor detection from MRI images AS Bajaj, U Chouhan Current Medical Imaging 16 (8), 937-945, 2020 | 6 | 2020 |
| Computational approaches for the prediction of antimicrobial potential peptides from Ocimum tenuiflorum SK Suryawanshi, U Chouhan Asian J. Pharm. Clin. Res 11, 398-401, 2018 | 6 | 2018 |
| An application of similarity measure of fuzzy soft sets in verndor selection problem N Singhal, A Verma, U Chouhan Materials Today: Proceedings 5 (2), 3987-3993, 2018 | 6 | 2018 |
| Comparative study of artificial neural network for classification of hot and cold recombination regions in Saccharomyces cerevisiae AK Dwivedi, U Chouhan Neural Computing and Applications 29, 529-535, 2018 | 6 | 2018 |
| HIV infection: A review of their inhibitors progression D Pandey, U Chouhan, N Verma Biomedical and Pharmacology Journal 10 (2), 749-758, 2017 | 6 | 2017 |
| OJB TM A Dubey, U Chouhan Online Journal of Bioinformatics 13 (2), 274-284, 2012 | 6 | 2012 |
| An enhanced method for predicting and analysing forest fires using an attention-based CNN model S Bhatt, U Chouhan Journal of Forestry Research 35 (1), 67, 2024 | 5 | 2024 |
| A dynamic effect of infectious disease on prey predator system and harvesting policy R Soni, U Chouhan BIOSCIENCE BIOTECHNOLOGY RESEARCH COMMUNICATIONS 11 (2), 231-237, 2018 | 5 | 2018 |
| Genome-scale classification of recombinant and non-recombinant HIV-1 sequences using artificial neural network ensembles AK Dwivedi, U Chouhan Current Science, 853-860, 2016 | 5 | 2016 |
| Chemometric Modelling of PPAR-α and PPAR-γ Dual Agonists for the Treatment of Type-2 Diabetes N Verma, U Chouhan Current Science, 356-367, 2016 | 5 | 2016 |
Ashok Kumar Dwivedi, Ph.D.University of California, San FranciscoVerified email at ucsf.edu
