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

Fang Liu

Emory University

ORCID: 0000-0003-1322-4997

Also affiliated with University of California, Los Angeles

Materials ScienceComputer SciencePhysics and AstronomyBiochemistry, Genetics and Molecular Biology

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: “Quantum Chemistry Common Driver and Databases (QCDB) and Quantum Chemistry Engine (QCEngine): Automation and interoperability among computational chemistry programs”.

Quantum Chemistry Common Driver and Databases (QCDB) and Quantum Chemistry Engine (QCEngine): Automation and interoperability among computational chemistry programs

The Journal of Chemical Physics(2021)10.1063/5.0059356

N/A

0DataRank · unranked

45 citations

Annabelle Lolinco, Zachary L. Glick, Jiyoung Lee, Asem Alenaizan, Taylor Barnes +43 more

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

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