| Limitations and potentials of current motif discovery algorithms J Hu, B Li, D Kihara Nucleic acids research 33 (15), 4899-4913, 2005 | 312 | 2005 |
| Limited Data Rolling Bearing Fault Diagnosis With Few-Shot Learning A Zhang, S Li, Y Cui, W Yang, R Dong, J Hu IEEE Access 7, 110895-110904, 2019 | 299 | 2019 |
| 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 | 265 | 2020 |
| Subcellular localization of marine bacterial alkaline phosphatases H Luo, R Benner, RA Long, J Hu Proceedings of the National Academy of Sciences 106 (50), 21219-21223, 2009 | 258 | 2009 |
| An Ensemble Deep Convolutional Neural Network Model with Improved DS Evidence Fusion for Bearing Fault Diagnosis S Li, G Liu, X Tang, J Lu, J Hu Sensors 17 (8), 1729, 2017 | 206 | 2017 |
| DeepPatent: patent classification with convolutional neural networks and word embedding S Li, J Hu, Y Cui, J Hu Scientometrics 117 (2), 721-744, 2018 | 192 | 2018 |
| Transfer Learning with Deep Recurrent Neural Networks for Remaining Useful Life Estimation A Zhang, H Wang, S Li, Y Cui, Z Liu, G Yang, J Hu Applied Sciences 8 (12), 2416, 2018 | 183 | 2018 |
| Meta-learning for few-shot bearing fault diagnosis under complex working conditions C Li, S Li, A Zhang, Q He, Z Liao, J Hu Neurocomputing 439, 197-211, 2021 | 178 | 2021 |
| 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), 1-7, 2020 | 176 | 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 | 167 | 2020 |
| A deep learning algorithm for one-step contour aware nuclei segmentation of histopathology images Y Cui, G Zhang, Z Liu, Z Xiong, J Hu Medical & biological engineering & computing 57 (9), 2027-2043, 2019 | 165 | 2019 |
| SeqNLS: nuclear localization signal prediction based on frequent pattern mining and linear motif scoring J Lin, J Hu PloS one 8 (10), e76864, 2013 | 136 | 2013 |
| The hierarchical fair competition (hfc) framework for sustainable evolutionary algorithms J Hu, E Goodman, K Seo, Z Fan, R Rosenberg Evolutionary Computation 13 (2), 241-277, 2005 | 128 | 2005 |
| Toward a unified and automated design methodology for multi-domain dynamic systems using bond graphs and genetic programming K Seo, Z Fan, J Hu, ED Goodman, RC Rosenberg Mechatronics 13 (8-9), 851-885, 2003 | 127 | 2003 |
| A review of text corpus-based tourism big data mining Q Li, S Li, S Zhang, J Hu, J Hu Applied Sciences 9 (16), 3300, 2019 | 120 | 2019 |
| Patent Keyword Extraction Algorithm Based on Distributed Representation for Patent Classification J Hu, S Li, Y Yao, L Yu, G Yang, J Hu Entropy 20 (2), 104, 2018 | 115 | 2018 |
| An Ensemble Stacked Convolutional Neural Network Model for Environmental Event Sound Recognition S Li, Y Yao, J Hu, G Liu, X Yao, J Hu Applied Sciences 8 (7), 1152, 2018 | 114 | 2018 |
| The hierarchical fair competition (HFC) model for parallel evolutionary algorithms JJ Hu, ED Goodman Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat …, 2002 | 111 | 2002 |
| 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 | 104 | 2019 |
| End-to-end convolutional neural network model for gear fault diagnosis based on sound signals Y Yao, H Wang, S Li, Z Liu, G Gui, Y Dan, J Hu Applied Sciences 8 (9), 1584, 2018 | 104 | 2018 |
Yong Zhao, Ph.D.University of South Carolina在 email.sc.edu 的电子邮件经过验证
