Wei-Jen Wang

Statistics and Probability · 2023

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Wei-Jen Wang trusts overall

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

  1. Karl J. Friston
  2. Thomas Schäfer
  3. Kai Wei
  4. Daniël Lakens
  5. C. Brydges
  6. K. Button

Papers from Wei-Jen Wang's perspective

Ordered by how strongly the researchers Wei-Jen Wang trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Power failure: why small sample size undermines the reliability of neuroscience (Nature Reviews Neuroscience)
  2. The secret lives of experiments: Methods reporting in the fMRI literature (NeuroImage)
  3. The Meaningfulness of Effect Sizes in Psychological Research: Differences Between Sub-Disciplines and the Impact of Potential Biases (Frontiers in Psychology)
  4. Calculating and reporting effect sizes to facilitate cumulative science: a practical primer for t-tests and ANOVAs (Frontiers in Psychology)
  5. Submodularity in Data Subset Selection and Active Learning
  6. Small sample sizes reduce the replicability of task-based fMRI studies (Communications Biology)
  7. The impact of the MIT-BIH Arrhythmia Database (IEEE Engineering in Medicine and Biology Magazine)
  8. Machine Learning in Medicine (Mach. Learn. under Resour. Constraints Vol. 3)
  9. No Free Lunch Theorem: A Review (Approximation and Optimization)
  10. The effect of machine learning regression algorithms and sample size on individualized behavioral prediction with functional connectivity features (NeuroImage)

Their papers