🏆 Finalist — NIH Data Sharing Index (“S-Index”) Challenge

Ihor Liakh

ORCID: 0000-0001-5417-9403

Environmental ScienceEconomics, Econometrics and Finance

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 3 papers. Top paper: “A Hybrid Model of Cancer Diseases Diagnosis Based on Gene Expression Data with Joint Use of Data Mining Methods and Machine Learning Techniques”.

A Hybrid Model of Cancer Diseases Diagnosis Based on Gene Expression Data with Joint Use of Data Mining Methods and Machine Learning Techniques

Applied Sciences(2023)10.3390/app13106022

N/A

0DataRank · unranked

18 citations

Lyudmyla Yasinska-Damri, Ihor Liakh, Sergii Babichev

Applying the Deep Learning Techniques to Solve Classification Tasks Using Gene Expression Data

IEEE Access(2024)10.1109/access.2024.3368070

N/A

0DataRank · unranked

13 citations

Ihor Liakh, Irina Kalinina, Sergii Babichev

Integrating Data Mining, Deep Learning, and GeneOntology Analysis for Gene Expression-BasedDisease Diagnosis Systems

Research Square(2024)10.21203/rs.3.rs-3978499/v1

N/A

0DataRank · unranked

1 citations

Ihor Liakh, Jiřı́ Škvor, Sergii Babichev