Standout Papers

Extreme learning machine: Theory and applications 2006 2026 2012 2019 8.2k
  1. Extreme learning machine: Theory and applications (2006)
    Guang-Bin Huang, Qinyu Zhu et al. Neurocomputing
  2. Extreme Learning Machine for Regression and Multiclass Classification (2011)
    Guang-Bin Huang, Hongming Zhou et al. IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics)
  3. Universal Approximation using Incremental Constructive Feedforward Networks with Random Hidden Nodes (2006)
    Guang-Bin Huang, Lei Chen et al. IEEE Transactions on Neural Networks
  4. A Fast and Accurate Online Sequential Learning Algorithm for Feedforward Networks (2006)
    Nanying Liang, Guang-Bin Huang et al. IEEE Transactions on Neural Networks
  5. Extreme learning machines: a survey (2011)
    Guang-Bin Huang, Yuan Lan et al. International Journal of Machine Learning and Cybernetics
  6. Trends in extreme learning machines: A review (2014)
    Gao Huang, Guang-Bin Huang et al. Neural Networks
  7. Extreme Learning Machine for Multilayer Perceptron (2015)
    Jiexiong Tang, Chenwei Deng et al. IEEE Transactions on Neural Networks and Learning Systems
  8. Convex incremental extreme learning machine (2007)
    Guang-Bin Huang, Lihui Chen Neurocomputing
  9. An Insight into Extreme Learning Machines: Random Neurons, Random Features and Kernels (2014)
    Guang-Bin Huang Cognitive Computation
  10. Enhanced random search based incremental extreme learning machine (2007)
    Guang-Bin Huang, Lihui Chen Neurocomputing
  11. Optimization method based extreme learning machine for classification (2010)
    Guang-Bin Huang, Xiaojian Ding et al. Neurocomputing
  12. Evolutionary extreme learning machine (2005)
    Qinyu Zhu, A. K. Qin et al. Pattern Recognition
  13. Learning capability and storage capacity of two-hidden-layer feedforward networks (2003)
    Guang-Bin Huang IEEE Transactions on Neural Networks
  14. Weighted extreme learning machine for imbalance learning (2012)
    Weiwei Zong, Guang-Bin Huang et al. Neurocomputing
  15. Error Minimized Extreme Learning Machine With Growth of Hidden Nodes and Incremental Learning (2009)
    Guorui Feng, Guang-Bin Huang et al. IEEE Transactions on Neural Networks
  16. A Generalized Growing and Pruning RBF (GGAP-RBF) Neural Network for Function Approximation (2005)
    Guang-Bin Huang, P. Saratchandran et al. IEEE Transactions on Neural Networks
  17. Exploiting AIS Data for Intelligent Maritime Navigation: A Comprehensive Survey From Data to Methodology (2017)
    Enmei Tu, Guanghao Zhang et al. IEEE Transactions on Intelligent Transportation Systems
  18. Compressed-Domain Ship Detection on Spaceborne Optical Image Using Deep Neural Network and Extreme Learning Machine (2014)
    Jiexiong Tang, Chenwei Deng et al. IEEE Transactions on Geoscience and Remote Sensing

Immediate Impact

9 from Science/Nature 62 standout
Sub-graph 1 of 24

Citing Papers

Synaptic and neural behaviours in a standard silicon transistor
2025 StandoutNature
Self-Driving Laboratories for Chemistry and Materials Science
2024 Standout
2 intermediate papers

Works of Guang-Bin Huang being referenced

Silicon spiking neurons for hardware implementation of extreme learning machines
2012
Extreme learning machines: a survey
2011 Standout

Author Peers

Author Last Decade Papers Cites
Guang-Bin Huang 22316 5816 8045 167 32.1k
Ponnuthurai Nagaratnam Suganthan 19178 3498 6646 397 35.1k
Amir H. Gandomi 17273 3796 5900 556 39.3k
Sebastian Thrun 10704 12859 3779 164 31.5k
Andrew Lewis 11767 3147 5822 107 25.0k
Ruslan Salakhutdinov 15680 11827 2909 89 38.0k
Alex Smola 9645 4970 2226 89 25.0k
Huiling Chen 19126 5008 4612 785 38.4k
Xin‐She Yang 11525 2463 4406 270 23.7k
Marco Dorigo 15515 4314 3900 312 38.0k
Kalyanmoy Deb 26115 3022 9817 353 74.4k

All Works

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2026