Francesc X. Prenafeta-Boldu

Plant Science · 2001–2019

A researcher in the Science corpus: 5 papers; trusts 238 researchers and is trusted by 21 researchers here, as inferred from the citation graph.

Subfields

• Plant Science — 36 citations into it; #747 of 8,232 by trust here, #2,041 by citations
• Computer Vision and Pattern Recognition — 34 citations into it; #6,908 of 21,575 by trust here, #7,750 by citations
• Artificial Intelligence — 31 citations into it
• Ecology — 27 citations into it; #4,823 of 10,717 by trust here, #6,392 by citations
• Information Systems — 20 citations into it
• Media Technology — 18 citations into it
• Environmental Engineering — 15 citations into it
• Model Architectures — 14 citations into it

Whom Francesc X. Prenafeta-Boldu trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. J. Urgen Schmidhuber
2. Alex Krizhevsky
3. Yann LeCun
4. Geoffrey E. Hinton
5. Yoshua Bengio
6. Karen Simonyan
7. Ilya Sutskever
8. Jia Deng
9. Christian Szegedy
10. Suchet Bargoti

Who trusts Francesc X. Prenafeta-Boldu overall

1. Samuel C. Hassler
2. Muhammad Hammad Saleem
3. Lili Li
4. Anand Koirala
5. Dimosthenis C. Tsouros
6. J. G. Arnal Barbedo
7. T. Mandri
8. Verónica Sáiz-Rubio
9. Fulya Baysal-Gurel

Papers from Francesc X. Prenafeta-Boldu's perspective

Ordered by how strongly the researchers Francesc X. Prenafeta-Boldu trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. Long Short-Term Memory
6. ImageNet: A large-scale hierarchical image database
7. Attention is All you Need (Neural Information Processing Systems)
8. Going deeper with convolutions
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• The Rise of Blockchain Technology in Agriculture and Food Supply Chains (2019) — 992 citations
• A review of the use of convolutional neural networks in agriculture (2018) — 414 citations
• Deep learning in agriculture: A survey (2018) — 4,300 citations
• A review on the practice of big data analysis in agriculture (2017) — 949 citations
• Isolation and characterisation of fungi growing on volatile aromatic hydrocarbons as their sole carbon and energy source (2001) — 153 citations