Jing Xu

Computer 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: “Comprehensive assessment of machine learning-based methods for predicting antimicrobial peptides”.

Comprehensive assessment of machine learning-based methods for predicting antimicrobial peptides

Briefings in Bioinformatics(2021)10.1093/bib/bbab083

N/A

0DataRank · unranked

160 citations

Fuyi Li, André Leier, Dongxu Xiang, Hsin‐Hui Shen, Tatiana T Marquez Lago +4 more

ASPIRER: a new computational approach for identifying non-classical secreted proteins based on deep learning

Briefings in Bioinformatics(2022)10.1093/bib/bbac031

N/A

0DataRank · unranked

27 citations

Fuyi Li, Jing Xu, Jia Rong, Geoffrey I. Webb, Zongyuan Ge +3 more

iAMPCN: a deep-learning approach for identifying antimicrobial peptides and their functional activities

Briefings in Bioinformatics(2023)10.1093/bib/bbad240

N/A

0DataRank · unranked

108 citations

Fuyi Li, Chen Li, Xudong Guo, Cornelia B. Landersdorfer, Hsin‐Hui Shen +7 more