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

Lucas Pu

University of Pittsburgh

ORCID: 0009-0005-4506-7617

Medicine

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: “Predicting Primary Graft Dysfunction in Systemic Sclerosis Lung Transplantation Using Machine‐Learning and CT Features”.

Predicting Primary Graft Dysfunction in Systemic Sclerosis Lung Transplantation Using Machine‐Learning and CT Features

Clinical Transplantation(2025)10.1111/ctr.70217

N/A

0.104DataRank · unranked

1 citations

Xin Meng, Joseph K. Leader, John P. Ryan, Lucas Pu, Rachel L. Deitz +6 more

Predicting left/right lung volumes, thoracic cavity volume, and heart volume from subject demographics to improve lung transplant

Journal of Medical Imaging(2023)10.1117/1.jmi.10.5.051806

N/A

0DataRank · unranked

8 citations

Joseph K. Leader, Alaa Ali, Zihan Geng, David O. Wilson, Lucas Pu

Predicting post-lung transplant survival in systemic sclerosis using CT-derived features from preoperative chest CT scans

European Radiology(2024)10.1007/s00330-024-11077-9

N/A

0DataRank · unranked

4 citations

Grant Kokenberger, Lucas Pu, Ernest G. Chan, Alaa Ali, Kaveh Moghbeli +5 more

Geometric Self-Supervised Learning: A Novel AI Approach Towards Quantitative and Explainable Diabetic Retinopathy Detection

Bioengineering(2025)10.3390/bioengineering12020157

N/A

0DataRank · unranked

4 citations

Oliver Beale, Xin Meng, Lucas Pu