F. Alexander Wolf

Molecular Biology · 2016–2023

A researcher in the Science corpus: 9 papers; trusts 31 researchers and is trusted by 33 researchers here, as inferred from the citation graph.

Subfields

Whom F. Alexander Wolf trusts overall

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

  1. Mark Newman
  2. Caleb Weinreb
  3. Wes McKinney
  4. Rahul Satija
  5. Philipp Angerer
  6. Gábor Csárdi
  7. Allon Wagner
  8. Aaron T. L. Lun
  9. Ronald R. Coifman
  10. Mathieu Jacomy

Who trusts F. Alexander Wolf overall

  1. Malte D. Luecken
  2. Brian L. Hie
  3. Fabian J Theis
  4. Volker Bergen
  5. Marius Lange
  6. Lukas Heumos
  7. Matthew D. Young
  8. Saket Kumar Choudhary
  9. Zixuan Cang
  10. Yuqi Tan

Papers from F. Alexander Wolf's perspective

Ordered by how strongly the researchers F. Alexander Wolf 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. Droplet barcoding for single cell transcriptomics applied to embryonic stem cells (Cell)
  4. Massively parallel single cell RNA-Seq for marker-free decomposition of tissues into cell types (Science)
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Gradient-based learning applied to document recognition
  7. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
  8. Bayesian approach to single-cell differential expression analysis (Nature Methods)
  9. Attention is All you Need (Neural Information Processing Systems)
  10. viSNE enables visualization of high dimensional single-cell data and reveals phenotypic heterogeneity of leukemia

Their papers