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

Dazhou Yu

Emory University

ORCID: 0000-0003-2082-0834
Computer ScienceSocial Sciences

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 4 papers. Top paper: “ACES-GNN: can graph neural network learn to explain activity cliffs?”.

ACES-GNN: can graph neural network learn to explain activity cliffs?

Digital Discovery(2025)10.1039/d5dd00012b
N/A
0DataRank · unranked
5 citations

Dazhou Yu, Liang Zhao, Fang Liu, Xu Chen

ACES-GNN: Can Graph Neural Network Learn to Explain Activity Cliffs?

ChemRxiv(2025)10.26434/chemrxiv-2025-11wfv
N/A
0DataRank · unranked
0 citations

Dazhou Yu, Liang Zhao, Fang Liu, Xu Chen

PolyhedronNet: Representation Learning for Polyhedra with Surface-attributed Graph

arXiv (Cornell University)(2025)10.48550/arxiv.2502.01814
N/A
0DataRank · unranked
0 citations

Ganchao Zhang, Liang Zhao, Dazhou Yu

ACES-GNN: Can Graph Neural Network Learn to Explain Activity Cliffs?

ChemRxiv(2025)10.26434/chemrxiv-2025-11wfv-v2
N/A
0DataRank · unranked
0 citations

Dazhou Yu, Liang Zhao, Fang Liu, Xu Chen