Year |
Citation |
Score |
2020 |
Louis SY, Zhao Y, Nasiri A, Wang X, Song Y, Liu F, Hu J. Graph convolutional neural networks with global attention for improved materials property prediction. Physical Chemistry Chemical Physics : Pccp. PMID 32766627 DOI: 10.1039/D0Cp01474E |
0.325 |
|
2020 |
Li S, Dan Y, Li X, Hu T, Dong R, Cao Z, Hu J. Critical Temperature Prediction of Superconductors Based on Atomic Vectors and Deep Learning Symmetry. 12: 262. DOI: 10.3390/Sym12020262 |
0.305 |
|
2020 |
Li S, Yang W, Zhang A, Liu H, Huang J, Li C, Hu J. A Novel Method of Bearing Fault Diagnosis in Time-Frequency Graphs Using InceptionResnet and Deformable Convolution Networks Ieee Access. 8: 92743-92753. DOI: 10.1109/Access.2020.2995198 |
0.303 |
|
2020 |
Dan Y, Dong R, Cao Z, Li X, Niu C, Li S, Hu J. Computational Prediction of Critical Temperatures of Superconductors Based on Convolutional Gradient Boosting Decision Trees Ieee Access. 8: 57868-57878. DOI: 10.1109/Access.2020.2981874 |
0.308 |
|
2020 |
Dan Y, Zhao Y, Li X, Li S, Hu M, Hu J. Generative adversarial networks (GAN) based efficient sampling of chemical composition space for inverse design of inorganic materials Arxiv: Learning. 6: 1-7. DOI: 10.1038/S41524-020-00352-0 |
0.33 |
|
2020 |
Song Y, Lindsay J, Zhao Y, Nasiri A, Louis SM, Ling J, Hu M, Hu J. Machine Learning based prediction of noncentrosymmetric crystal materials Computational Materials Science. 183: 109792. DOI: 10.1016/J.Commatsci.2020.109792 |
0.324 |
|
2020 |
Xiong Z, Cui Y, Liu Z, Zhao Y, Hu M, Hu J. Evaluating explorative prediction power of machine learning algorithms for materials discovery using k-fold forward cross-validation Computational Materials Science. 171: 109203. DOI: 10.1016/J.Commatsci.2019.109203 |
0.329 |
|
2019 |
Li X, Dan Y, Dong R, Cao Z, Niu C, Song Y, Li S, Hu J. Computational Screening of New Perovskite Materials Using Transfer Learning and Deep Learning Applied Sciences. 9: 5510. DOI: 10.3390/App9245510 |
0.311 |
|
2019 |
Nasiri A, Bao J, Mccleeary D, Louis SM, Huang X, Hu J. Online Damage Monitoring of SiCf-SiCm Composite Materials Using Acoustic Emission and Deep Learning Ieee Access. 7: 140534-140541. DOI: 10.1109/Access.2019.2943210 |
0.319 |
|
2018 |
Hu J, Li S, Yao Y, Yu L, Yang G, Hu J. Patent Keyword Extraction Algorithm Based on Distributed Representation for Patent Classification. Entropy (Basel, Switzerland). 20. PMID 33265195 DOI: 10.3390/E20020104 |
0.305 |
|
2018 |
Hu J, Li S, Hu J, Yang G. A Hierarchical Feature Extraction Model for Multi-Label Mechanical Patent Classification Sustainability. 10: 1-22. DOI: 10.3390/Su10010219 |
0.316 |
|
2018 |
Li S, Wu Y, Xu Y, Hu J, Hu J. A Bayesian Network Based Adaptability Design of Product Structures for Function Evolution Applied Sciences. 8: 493. DOI: 10.3390/App8040493 |
0.306 |
|
2018 |
Li S, Zou W, Hu J. A Novel Evolutionary Algorithm for Designing Robust Analog Filters Algorithms. 11: 26. DOI: 10.3390/A11030026 |
0.353 |
|
2018 |
Li S, Xiong Z, Hu J. Inferring phase diagrams from X-ray data with background signals using graph segmentation Materials Science and Technology. 34: 315-326. DOI: 10.1080/02670836.2017.1389116 |
0.311 |
|
2018 |
Li S, Hu J, Cui Y, Hu J. DeepPatent: patent classification with convolutional neural networks and word embedding Scientometrics. 117: 721-744. DOI: 10.1007/S11192-018-2905-5 |
0.334 |
|
2017 |
Li S, Liu G, Tang X, Lu J, Hu J. An Ensemble Deep Convolutional Neural Network Model with Improved D-S Evidence Fusion for Bearing Fault Diagnosis. Sensors (Basel, Switzerland). 17. PMID 28788099 DOI: 10.3390/S17081729 |
0.311 |
|
2017 |
Xiong Z, He Y, Hattrick-Simpers J, Hu J. Automated Phase Segmentation for Large-Scale X-ray Diffraction Data Using Graph-based Phase Segmentation (GPhase) Algorithm. Acs Combinatorial Science. PMID 28125201 DOI: 10.1021/Acscombsci.6B00121 |
0.301 |
|
2013 |
Lin JR, Hu J. SeqNLS: nuclear localization signal prediction based on frequent pattern mining and linear motif scoring. Plos One. 8: e76864. PMID 24204689 DOI: 10.1371/Journal.Pone.0076864 |
0.304 |
|
2013 |
Liu R, Hu J. DNABind: a hybrid algorithm for structure-based prediction of DNA-binding residues by combining machine learning- and template-based approaches. Proteins. 81: 1885-99. PMID 23737141 DOI: 10.1002/Prot.24330 |
0.332 |
|
2012 |
Lin JR, Mondal AM, Liu R, Hu J. Minimalist ensemble algorithms for genome-wide protein localization prediction. Bmc Bioinformatics. 13: 157. PMID 22759391 DOI: 10.1186/1471-2105-13-157 |
0.302 |
|
2010 |
Hu J, Zhang F. BayesMotif: de novo protein sorting motif discovery from impure datasets. Bmc Bioinformatics. 11: S66. PMID 20122242 DOI: 10.1186/1471-2105-11-S1-S66 |
0.306 |
|
2008 |
Hu J, Goodman ED, Li S, Rosenberg R. Automated synthesis of mechanical vibration absorbers using genetic programming Artificial Intelligence For Engineering Design, Analysis and Manufacturing: Aiedam. 22: 207-217. DOI: 10.1017/S0890060408000140 |
0.543 |
|
2006 |
Hu J, Yang YD, Kihara D. EMD: an ensemble algorithm for discovering regulatory motifs in DNA sequences. Bmc Bioinformatics. 7: 342. PMID 16839417 DOI: 10.1186/1471-2105-7-342 |
0.312 |
|
2006 |
Yuan C, Tang C, Wen Y, Zuo J, Peng J, Hu J. Convergency of Genetic Regression In Data Mining Based On Gene Expression Programming and Optimized Solution International Journal of Computers and Applications. 28: 359-366. DOI: 10.1080/1206212X.2006.11441822 |
0.31 |
|
2005 |
Hu J, Li B, Kihara D. Limitations and potentials of current motif discovery algorithms. Nucleic Acids Research. 33: 4899-913. PMID 16284194 DOI: 10.1093/Nar/Gki791 |
0.329 |
|
2005 |
Hu J, Goodman E, Seo K, Fan Z, Rosenberg R. The hierarchical fair competition (HFC) framework for sustainable evolutionary algorithms. Evolutionary Computation. 13: 241-77. PMID 15969902 DOI: 10.1162/1063656054088530 |
0.633 |
|
2004 |
Fan Z, Seo K, Hu J, Goodman ED, Rosenberg RC. A novel evolutionary engineering design approach for mixed-domain systems Engineering Optimization. 36: 127-147. DOI: 10.1080/03052150410001647957 |
0.64 |
|
2003 |
Seo K, Fan Z, Hu J, Goodman ED, Rosenberg RC. Toward a unified and automated design methodology for multi-domain dynamic systems using bond graphs and genetic programming Mechatronics. 13: 851-885. DOI: 10.1016/S0957-4158(03)00006-0 |
0.636 |
|
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