Jiarui Ding

Molecular Biology · 2012–2020

A researcher in the Science corpus: 5 papers; trusts 17 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 127 citations into it; #6,031 of 17,773 by trust here, #4,843 by citations
• Biophysics — 20 citations into it; #373 of 1,196 by trust here, #616 by citations
• Immunology — 17 citations into it
• Artificial Intelligence — 8 citations into it; #17,012 of 35,345 by trust here, #18,186 by citations
• Representation & Self-Supervised Learning — 7 citations into it

Whom Jiarui Ding trusts overall

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

1. L. V. D. van der Maaten
2. Geoffrey E. Hinton
3. Yoav Benjamini
4. Danilo Jimenez Rezende
5. Oliver Stegle
6. Djork-Arné Clevert
7. Allon Wagner
8. Martin Ester
9. S. Picelli
10. Junjie Zhu

Who trusts Jiarui Ding overall

1. Romain Lopez
2. Malte D. Luecken
3. Jeffrey C. Regier
4. Fabian J Theis
5. Miroslav Kratochvı́l
6. Saket Kumar Choudhary
7. Michael I. Jordan
8. Nir Yosef
9. Pierre Boyeau
10. Michael Cole

Papers from Jiarui Ding's perspective

Ordered by how strongly the researchers Jiarui Ding 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. Attention is All you Need (Neural Information Processing Systems)
7. Learning Multiple Layers of Features from Tiny Images
8. ImageNet: A large-scale hierarchical image database
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• Interpretable dimensionality reduction of single cell transcriptome data with deep generative models (2017) — 339 citations
• Chromatin Potential Identified by Shared Single-Cell Profiling of RNA and Chromatin (2020) — 976 citations
• The clonal and mutational evolution spectrum of primary triple-negative breast cancers (2012) — 1,975 citations
• Systematic comparison of single-cell and single-nucleus RNA-sequencing methods (2020) — 723 citations
• TITAN: inference of copy number architectures in clonal cell populations from tumor whole-genome sequence data (2014) — 367 citations