| Green synthesis, characterization and antimicrobial activity of zinc oxide quantum dots using Eclipta alba AK Singh, P Pal, V Gupta, TP Yadav, V Gupta, SP Singh Materials Chemistry and Physics 203, 40-48, 2018 | 149 | 2018 |
| Cross-property deep transfer learning framework for enhanced predictive analytics on small materials data V Gupta, K Choudhary, F Tavazza, C Campbell, W Liao, A Choudhary, ... Nature communications 12 (1), 6595, 2021 | 115 | 2021 |
| Enabling deeper learning on big data for materials informatics applications D Jha, V Gupta, L Ward, Z Yang, C Wolverton, I Foster, W Liao, ... Scientific reports 11 (1), 4244, 2021 | 59 | 2021 |
| Moving closer to experimental level materials property prediction using AI D Jha, V Gupta, W Liao, A Choudhary, A Agrawal Scientific reports 12 (1), 11953, 2022 | 29 | 2022 |
| BRNet: Branched Residual Network for Fast and Accurate Predictive Modeling of Materials Properties V Gupta, W Liao, A Choudhary, A Agrawal Proceedings of the 2022 SIAM International Conference on Data Mining (SDM …, 2022 | 22 | 2022 |
| Mppredictor: An artificial intelligence-driven web tool for composition-based material property prediction V Gupta, K Choudhary, Y Mao, K Wang, F Tavazza, C Campbell, W Liao, ... Journal of Chemical Information and Modeling 63 (7), 1865-1871, 2023 | 18 | 2023 |
| Structure-aware graph neural network based deep transfer learning framework for enhanced predictive analytics on diverse materials datasets V Gupta, K Choudhary, B DeCost, F Tavazza, C Campbell, W Liao, ... npj Computational Materials 10 (1), 1, 2024 | 14 | 2024 |
| Large scale benchmark of materials design methods K Choudhary, D Wines, K Li, KF Garrity, V Gupta, AH Romero, JT Krogel, ... arXiv preprint arXiv:2306.11688, 2023 | 13 | 2023 |
| Evolution of artificial intelligence for application in contemporary materials science V Gupta, W Liao, A Choudhary, A Agrawal MRS communications 13 (5), 754-763, 2023 | 11 | 2023 |
| JARVIS-Leaderboard: a large scale benchmark of materials design methods K Choudhary, D Wines, K Li, KF Garrity, V Gupta, AH Romero, JT Krogel, ... npj Computational Materials 10 (1), 93, 2024 | 10 | 2024 |
| An AI-driven microstructure optimization framework for elastic properties of titanium beyond cubic crystal systems Y Mao, M Hasan, A Paul, V Gupta, K Choudhary, F Tavazza, W Liao, ... npj Computational Materials 9 (1), 111, 2023 | 7 | 2023 |
| Improving deep learning model performance under parametric constraints for materials informatics applications V Gupta, A Peltekian, W Liao, A Choudhary, A Agrawal Scientific reports 13 (1), 9128, 2023 | 7 | 2023 |
| Efficient spoofing attack detection against unknown sample using end-to-end anomaly detection T Ohki, V Gupta, M Nishigaki 2019 Asia-Pacific Signal and Information Processing Association Annual …, 2019 | 7 | 2019 |
| Unsupervised biometric anti-spoofing using generative adversarial networks V Gupta, M Nishigaki, T Ohki International Journal of Informatics Society 11 (1), 5, 2019 | 7 | 2019 |
| Water desalination using PSO-ANN techniques: a critical review R Mahadeva, M Kumar, V Gupta, G Manik, V Gupta, J Alawatugoda, ... Digital Chemical Engineering, 100128, 2023 | 6 | 2023 |
| Simultaneously improving accuracy and computational cost under parametric constraints in materials property prediction tasks V Gupta, Y Li, A Peltekian, MNT Kilic, W Liao, A Choudhary, A Agrawal Journal of Cheminformatics 16 (1), 17, 2024 | 5 | 2024 |
| Pre-activation based representation learning to enhance predictive analytics on small materials data V Gupta, W Liao, A Choudhary, A Agrawal 2023 International Joint Conference on Neural Networks (IJCNN), 1-8, 2023 | 5 | 2023 |
| Ai for learning deformation behavior of a material: predicting stress-strain curves 4000x faster than simulations Y Mao, S Keshavarz, V Gupta, ACE Reid, W Liao, A Choudhary, ... 2023 International Joint Conference on Neural Networks (IJCNN), 1-8, 2023 | 4 | 2023 |
| To Shuffle or Not To Shuffle: Mini-Batch Shuffling Strategies for Multi-class Imbalanced Classification Y Mao, V Gupta, K Wang, W Liao, A Choudhary, A Agrawal 2022 International Conference on Computational Science and Computational …, 2022 | 3 | 2022 |
| Physics-based data-augmented deep learning for enhanced autogenous shrinkage prediction on experimental dataset V Gupta, Y Lyu, D Suarez, Y Mao, WK Liao, A Choudhary, WK Liu, ... Proceedings of the 2023 Fifteenth International Conference on Contemporary …, 2023 | 2 | 2023 |
