Joon Sik Kim

Computer ScienceMedicineEngineering

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 2 papers. Top paper: “Best Practices for Interpretable Machine Learning in Computational Biology”.

Best Practices for Interpretable Machine Learning in Computational Biology

bioRxiv (Cold Spring Harbor Laboratory)(2022)10.1101/2022.10.28.513978

N/A

0DataRank · unranked

16 citations

Muyu Yang, Wenbo Cui, Joon Sik Kim, Ameet Talwalkar, Jian Ma +1 more

Applying interpretable machine learning in computational biology—pitfalls, recommendations and opportunities for new developments

Nature Methods(2024)10.1038/s41592-024-02359-7

N/A

0DataRank · unranked

96 citations

Muyu Yang, Wenbo Cui, Joon Sik Kim, Ameet Talwalkar, Jian Ma +1 more