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

Qinghua Song

Ningbo University

ORCID: 0000-0002-9792-9988

Also affiliated with Commercial Aircraft Corporation of China (China), Ministry of Education of the People's Republic of China, Shandong University, China Pharmaceutical University, Guizhou University, University of Jinan, Henan University of Technology, Ministry of Education, Tsinghua–Berkeley Shenzhen Institute, Yangzhou Polytechnic Institute, First Affiliated Hospital of Xi'an Jiaotong University, Anyang Institute of Technology, Ningbo University Affiliated Hospital, Ningbo No.6 Hospital, Northeast Petroleum University, Tsinghua University

EngineeringMaterials 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 1 paper. Top paper: “Artificial Intelligence-Based Hole Quality Prediction in Micro-Drilling Using Multiple Sensors”.

Artificial Intelligence-Based Hole Quality Prediction in Micro-Drilling Using Multiple Sensors

Sensors(2020)10.3390/s20030885
N/A
0DataRank · unranked
71 citations

Karali Patra, Tibor Szalay, Mozammel Mia, Munish Kumar Gupta, Qinghua Song +5 more