Han Kheng Teoh

ORCID: 0000-0001-5965-2343

Agricultural and Biological SciencesBiochemistry, Genetics and Molecular BiologyPhysics and AstronomyMedicineComputer Science

Pilot corpus only

This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 100%percentile

0Author DataRank

Indexed papers

0in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Papers

Driven by 5 papers. Top paper: “The songbird lateral habenula projects to dopaminergic midbrain and is important for normal vocal development”.

The songbird lateral habenula projects to dopaminergic midbrain and is important for normal vocal development

(2023)10.7554/elife.90392.1

N/A

0DataRank · unranked

4 citations

Han Kheng Teoh, Ruidong Chen, Itai Cohen, Jesse H. Goldberg, Andrea Roeser

The songbird lateral habenula projects to dopaminergic midbrain and is important for normal vocal development

(2023)10.7554/elife.90392

N/A

0DataRank · unranked

3 citations

Han Kheng Teoh, Ruidong Chen, Itai Cohen, Jesse H. Goldberg, Andrea Roeser

Reviewer #2 (Public Review): The songbird lateral habenula projects to dopaminergic midbrain and is important for normal vocal development

(2023)10.7554/elife.90392.1.sa0

N/A

0DataRank · unranked

0 citations

Han Kheng Teoh, Ruidong Chen, Itai Cohen, Jesse Goldberg, Andrea Roeser

Application of a variational autoencoder for clustering and analyzing in situ articular cartilage cellular response to mechanical stimuli

PLoS ONE(2024)10.1371/journal.pone.0297947

N/A

0DataRank · unranked

4 citations

Han Kheng Teoh, Michelle L. Delco, Lawrence J. Bonassar, Itai Cohen, Jingyang Zheng

The training process of many deep networks explores the same low-dimensional manifold

Proceedings of the National Academy of Sciences(2024)10.1073/pnas.2310002121

N/A

0DataRank · unranked

11 citations

Itay Griniasty, Han Kheng Teoh, Rahul Ramesh, Rubing Yang, Mark K. Transtrum +3 more