Mo Zhang

Artificial Intelligence · with Shi · 2020

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 15 citations into it

Whom Mo Zhang trusts overall

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

1. Juan José Egozcue
2. Vera Pawlowsky-Glahn
3. Eva Fiserová

Papers from Mo Zhang's perspective

Ordered by how strongly the researchers Mo Zhang trusts endorse each paper. Same corpus, a different order for every researcher.

1. Groups of Parts and Their Balances in Compositional Data Analysis
2. On the Interpretation of Orthonormal Coordinates for Compositional Data
3. Biplots of Compositional Data
4. Inferring Correlation Networks from Genomic Survey Data (PLoS Comput. Biol.)
5. Reply to “On the Harker Variation Diagrams; …” by J.A. Cortés
6. Real Analysis and Probability: Measurability: Borel Isomorphism and Analytic Sets
7. On Estimation of a Probability Density Function and Mode
8. Density Estimation for Statistics and Data Analysis
9. Remarks on Some Nonparametric Estimates of a Density Function
10. On Some Global Measures of the Deviations of Density Function Estimates

Their papers

• Systematic comparison of five machine-learning models in classification and interpolation of soil particle size fractions using different transformed data (2020) — 62 citations