| Evaluating explorative prediction power of machine learning algorithms for materials discovery using k-fold forward cross-validation Z Xiong, Y Cui, Z Liu, Y Zhao, M Hu, J Hu Computational Materials Science 171, 109203, 2020 | 334 | 2020 |
| Graph convolutional neural networks with global attention for improved materials property prediction SY Louis, Y Zhao, A Nasiri, X Wang, Y Song, F Liu, J Hu Physical Chemistry Chemical Physics 22 (32), 18141-18148, 2020 | 231 | 2020 |
| Generative adversarial networks (GAN) based efficient sampling of chemical composition space for inverse design of inorganic materials Y Dan, Y Zhao, X Li, S Li, M Hu, J Hu npj Computational Materials 6 (1), 84, 2020 | 217 | 2020 |
| Deep autoencoder neural networks for short-term traffic congestion prediction of transportation networks S Zhang, Y Yao, J Hu, Y Zhao, S Li, J Hu Sensors 19 (10), 2229, 2019 | 116 | 2019 |
| High-throughput discovery of novel cubic crystal materials using deep generative neural networks Y Zhao, M Al-Fahdi, M Hu, E Siriwardane, Y Song, A Nasiri, J Hu Advanced Science, 2100566, 2021 | 114 | 2021 |
| Computational discovery of new 2D materials using deep learning generative models Y Song, EMD Siriwardane, Y Zhao, J Hu ACS Applied Materials & Interfaces 13 (45), 53303-53313, 2021 | 75 | 2021 |
| Lattice thermal conductivity prediction using symbolic regression and machine learning C Loftis, K Yuan, Y Zhao, M Hu, J Hu The Journal of Physical Chemistry A 125 (1), 435-450, 2020 | 66 | 2020 |
| Machine learning-based prediction of crystal systems and space groups from inorganic materials compositions Y Zhao, Y Cui, Z Xiong, J Jin, Z Liu, R Dong, J Hu ACS omega 5 (7), 3596-3606, 2020 | 56 | 2020 |
| Physics guided deep learning for generative design of crystal materials with symmetry constraints Y Zhao, EMD Siriwardane, Z Wu, N Fu, M Al-Fahdi, M Hu, J Hu npj Computational Materials 9 (1), 38, 2023 | 50 | 2023 |
| MaterialsAtlas. org: a materials informatics web app platform for materials discovery and survey of state-of-the-art J Hu, S Stefanov, Y Song, SS Omee, SY Louis, EMD Siriwardane, Y Zhao, ... npj Computational Materials 8 (1), 65, 2022 | 44 | 2022 |
| Predicting elastic properties of materials from electronic charge density using 3D deep convolutional neural networks Y Zhao, K Yuan, Y Liu, SY Louis, M Hu, J Hu The Journal of Physical Chemistry C 124 (31), 17262-17273, 2020 | 34 | 2020 |
| Extracting API tips from developer question and answer websites S Wang, NH Phan, Y Wang, Y Zhao 2019 IEEE/ACM 16th International Conference on Mining Software Repositories …, 2019 | 33 | 2019 |
| DeepSeqPanII: an interpretable recurrent neural network model with attention mechanism for peptide-HLA class II binding prediction Z Liu, J Jin, Y Cui, Z Xiong, A Nasiri, Y Zhao, J Hu IEEE/ACM Transactions on Computational Biology and Bioinformatics 19 (4 …, 2021 | 32 | 2021 |
| Deep learning pan‐specific model for interpretable MHC‐I peptide binding prediction with improved attention mechanism J Jin, Z Liu, A Nasiri, Y Cui, SY Louis, A Zhang, Y Zhao, J Hu Proteins: Structure, Function, and Bioinformatics 89 (7), 866-883, 2021 | 31 | 2021 |
| Active learning based generative design for the discovery of wide bandgap materials R Xin, E Siriwardane, Y Song, Y Zhao, SY Louis, A Nasiri, J Hu The Journal of Physical Chemistry C 125 (29), 16118–16128, 2021 | 25 | 2021 |
| Machine learning based prediction of noncentrosymmetric crystal materials Y Song, J Lindsay, Y Zhao, A Nasiri, SY Louis, J Ling, M Hu, J Hu Computational Materials Science 183, 109792, 2020 | 24 | 2020 |
| Generative design of stable semiconductor materials using deep learning and density functional theory EMD Siriwardane, Y Zhao, I Perera, J Hu npj Computational Materials 8 (1), 1-12, 2022 | 20 | 2022 |
| Deep learning-based prediction of contact maps and crystal structures of inorganic materials J Hu, Y Zhao, Q Li, Y Song, R Dong, W Yang, EMD Siriwardane ACS omega 8 (29), 26170-26179, 2023 | 19* | 2023 |
| DeepXRD, a deep learning model for predicting XRD spectrum from material composition R Dong, Y Zhao, Y Song, N Fu, SS Omee, S Dey, Q Li, L Wei, J Hu ACS Applied Materials & Interfaces 14 (35), 40102-40115, 2022 | 17 | 2022 |
| Million-scale data integrated deep neural network for phonon properties of heuslers spanning the periodic table A Rodriguez, C Lin, H Yang, M Al-Fahdi, C Shen, K Choudhary, Y Zhao, ... npj Computational Materials 9 (1), 20, 2023 | 15 | 2023 |
Jianjun HuProfessor of Computer Science, University of South CarolinaВерификована је имејл адреса на cse.sc.edu
