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Xiaojun Yao: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Xiaojun Yao, Xiaoyun Zhang, Ruisheng Zhang, Mancang Liu, Zhide Hu, Bo Tao Fan
    Prediction of Enthalpy of Alkanes by the Use of Radial Basis Function Neural Networks. [Citation Graph (0, 0)][DBLP]
    Computers & Chemistry, 2001, v:25, n:5, pp:475-482 [Journal]
  2. Xiaojun Yao, Xiaoyun Zhang, Ruisheng Zhang, Mancang Liu, Zhide Hu, Bo Tao Fan
    Radial Basis Function Neural Network Based QSPR for the Prediction of Critical Pressures of Substituted Benzenes. [Citation Graph (0, 0)][DBLP]
    Computers & Chemistry, 2002, v:26, n:2, pp:159-169 [Journal]
  3. H. X. Liu, C. X. Xue, Ruisheng Zhang, Xiaojun Yao, Mancang Liu, Zhide Hu, Bo Tao Fan
    Quantitative Prediction of logk of Peptides in High-Performance Liquid Chromatography Based on Molecular Descriptors by Using the Heuristic Method and Support Vector Machine. [Citation Graph (0, 0)][DBLP]
    Journal of Chemical Information and Modeling, 2004, v:44, n:6, pp:1979-1986 [Journal]
  4. Igor V. Tetko, Vitaly P. Solov'ev, Alexey V. Antonov, Xiaojun Yao, Jean-Pierre Doucet, Bo Tao Fan, Frank Hoonakker, Denis Fourches, Piere Jost, Nicolas Lachiche, Alexandre Varnek
    Benchmarking of Linear and Nonlinear Approaches for Quantitative Structure-Property Relationship Studies of Metal Complexation with Ionophores. [Citation Graph (0, 0)][DBLP]
    Journal of Chemical Information and Modeling, 2006, v:46, n:2, pp:808-819 [Journal]
  5. C. X. Xue, Ruisheng Zhang, H. X. Liu, Xiaojun Yao, Mancang Liu, Zhide Hu, Bo Tao Fan
    QSAR Models for the Prediction of Binding Affinities to Human Serum Albumin Using the Heuristic Method and a Support Vector Machine. [Citation Graph (0, 0)][DBLP]
    Journal of Chemical Information and Modeling, 2004, v:44, n:5, pp:1693-1700 [Journal]
  6. Xiaojun Yao, Annick Panaye, Jean-Pierre Doucet, Ruisheng Zhang, Haifeng Chen, Mancang Liu, Zhide Hu, Bo Tao Fan
    Comparative Study of QSAR/QSPR Correlations Using Support Vector Machines, Radial Basis Function Neural Networks, and Multiple Linear Regression. [Citation Graph (0, 0)][DBLP]
    Journal of Chemical Information and Modeling, 2004, v:44, n:4, pp:1257-1266 [Journal]

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