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

Matee Ullah

University of Vienna

ORCID: 0009-0008-9461-6290

Also affiliated with University of Electronic Science and Technology of China, Shenzhen University, University Town of Shenzhen, Shenzhen Technology University

Biochemistry, Genetics and Molecular BiologyEarth and Planetary SciencesComputer 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 3 papers. Top paper: “PScL-HDeep: image-based prediction of protein subcellular location in human tissue using ensemble learning of handcrafted and deep learned features with two-layer feature selection”.

PScL-HDeep: image-based prediction of protein subcellular location in human tissue using ensemble learning of handcrafted and deep learned features with two-layer feature selection

Briefings in Bioinformatics(2021)10.1093/bib/bbab278

N/A

0DataRank · unranked

44 citations

Ke Han, Fazal Hadi, Jian Xu, Jiangning Song, Dong‐Jun Yu +1 more

PScL-DDCFPred: an ensemble deep learning-based approach for characterizing multiclass subcellular localization of human proteins from bioimage data

Bioinformatics(2022)10.1093/bioinformatics/btac432

N/A

0DataRank · unranked

15 citations

Fazal Hadi, Jiangning Song, Dong‐Jun Yu, Matee Ullah

PScL-2LSAESM: bioimage-based prediction of protein subcellular localization by integrating heterogeneous features with the two-level SAE-SM and mean ensemble method

Bioinformatics(2022)10.1093/bioinformatics/btac727

N/A

0DataRank · unranked

5 citations

Fazal Hadi, Jiangning Song, Dong‐Jun Yu, Matee Ullah