Dashun Wang
Statistical and Nonlinear Physics · 2011–2020
A researcher in the Science corpus: 13 papers; trusts 26 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Statistical and Nonlinear Physics — 100 citations into it
- Statistics and Probability — 39 citations into it
- Economics and Econometrics — 36 citations into it
- Artificial Intelligence — 34 citations into it; #33,438 of 35,345 by trust here, #31,361 by citations
- Sociology and Political Science — 28 citations into it; #20,452 of 22,756 by trust here, #12,387 by citations
- Information Systems — 23 citations into it
- Transportation — 22 citations into it
- Molecular Biology — 16 citations into it
Whom Dashun Wang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Albert-László Barabási
- Filippo Radicchi
- Sidney Redner
- Chaoming Song
- Santo Fortunato
- Mark Newman
- Zan Huang
- C. Chatfield
- Julian McAuley
- Quoc V. Le
Who trusts Dashun Wang overall
Papers from Dashun Wang's perspective
Ordered by how strongly the researchers Dashun Wang trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- 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)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Going deeper with convolutions
- ImageNet Large Scale Visual Recognition Challenge
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
Their papers
- Toward understanding the impact of artificial intelligence on labor (2019) — 615 citations
- Quantifying Long-Term Scientific Impact (2013) — 474 citations
- A century of physics (2015) — 152 citations
- Quantifying the evolution of individual scientific impact (2016) — 604 citations
- Why Amazon's Ratings Might Mislead You: The Story of Herding Effects (2014) — 24 citations
- Unequal effects of the COVID-19 pandemic on scientists (2020) — 604 citations
- Large teams develop and small teams disrupt science and technology (2019) — 959 citations
- Science of science (2018) — 2,050 citations
- Toward link predictability of complex networks (2015) — 397 citations
- Quantifying herding effects in crowd wisdom (2014) — 41 citations
- Modeling and Predicting Popularity Dynamics via Reinforced Poisson Processes (2014) — 321 citations
- Human mobility, social ties, and link prediction (2011) — 723 citations
- Collective Response of Human Populations to Large-Scale Emergencies (2011) — 356 citations