Ke Wang

Also affiliated with China Power Engineering Consulting Group (China), China Electric Power Research Institute

EngineeringMaterials ScienceChemistry

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

1in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Why this DataRank?

An author's DataRank is the sum of the DataRanks of all 1 indexed paper attributed to them. A prolific author with many moderate-impact papers can outrank one with a single high-impact paper.

Author scores recompute whenever paper DataRanks are refreshed, so this number lags the underlying paper scores by at most one batch run.

Read the full methodology →

Papers

Driven by 2 papers. Top paper: “Machine Learning for Classification of Protein Helix Capping Motifs”.

Machine Learning for Classification of Protein Helix Capping Motifs

2019 Systems and Information Engineering Design Symposium (SIEDS)(2019)10.1109/sieds.2019.8735646

N/A

0.336DataRank · unranked

2 citations

Ruoyan Chen, Sri Vaishnavi Vemulapalli, Eli J. Draizen, Ke Wang, Cameron Mura +2 more

New iterative methods for dense linear systems

E3S Web of Conferences(2021)10.1051/e3sconf/202129302013

N/A

0DataRank · unranked

0 citations

Lizi Yin, Ke Wang, Jinmei Wang