Jianpeng Ma
Molecular Biology · 2002–2021
A researcher in the Science corpus: 3 papers; trusts 23 researchers and is trusted by 11 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 17 citations into it; #3,327 of 17,773 by trust here, #13,563 by citations
- Computational Biology & Bioinformatics — 12 citations into it
- Materials Chemistry — 10 citations into it; #1,952 of 11,513 by trust here, #9,267 by citations
- Computational Theory and Mathematics — 5 citations into it
Whom Jianpeng Ma trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alexey G. Murzin
- Steven E. Brenner
- Diederik P. Kingma
- Tim J. P. Hubbard
- Kaiming He
- Sepp Hochreiter
- Robert L. Jernigan
- Konrad Hinsen
- Guoli Wang
- Cyrus Chothia
Who trusts Jianpeng Ma overall
- Kelin Xia
- Aleksander Kuriata
- G. Wei
- Debashish Chowdhury
- Ivet Bahar
- Aleksandra Maria Gierut
- José Ramón López-Blanco
- Tymoteusz Oleniecki
- Sebastian Kmiecik
Papers from Jianpeng Ma's perspective
Ordered by how strongly the researchers Jianpeng Ma trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet classification with deep convolutional neural networks
- Gradient-based learning applied to document recognition
- Learning Multiple Layers of Features from Tiny Images
- Going deeper with convolutions
- ImageNet Large Scale Visual Recognition Challenge
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- Usefulness and limitations of normal mode analysis in modeling dynamics of biomolecular complexes. (2005) — 477 citations
- OPUS-Rota4: a gradient-based protein side-chain modeling framework assisted by deep learning-based predictors (2021) — 27 citations
- Helical ice-sheets inside carbon nanotubes in the physiological condition (2002) — 149 citations