Ping Hu

University of Electronic Science and Technology of China

Computer ScienceBiochemistry, 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 5 papers. Top paper: “Scoping review and classification of deep learning in medical genetics”.

Scoping review and classification of deep learning in medical genetics

Genetics in Medicine(2022)10.1016/j.gim.2022.04.025

N/A

0DataRank · unranked

23 citations

Michelle C. Dwyer, Simon Liu, Ping Hu, Cedrik Tekendo‐Ngongang, Rebekah L. Waikel +3 more

Recognition of Genetic Conditions After Learning With Images Created Using Generative Artificial Intelligence

JAMA Network Open(2024)10.1001/jamanetworkopen.2024.2609

N/A

0DataRank · unranked

27 citations

Amna A. Othman, Tanviben Patel, Suzanna Ledgister Hanchard, Ping Hu, Cedrik Tekendo‐Ngongang +3 more

Evaluating large language models on medical, lay-language, and self-reported descriptions of genetic conditions

The American Journal of Human Genetics(2024)10.1016/j.ajhg.2024.07.011

N/A

0DataRank · unranked

23 citations

Ping Hu, Suzanna Ledgister Hanchard, Molly E Ripper, Dat Duong, Rebekah L. Waikel +2 more

Assessing large language model performance related to aging in genetic conditions

npj Aging(2025)10.1038/s41514-025-00226-z

N/A

0DataRank · unranked

3 citations

Kendall A. Flaharty, Suzanna E. Ledgister Hanchard, Ping Hu, Dat Duong, Rebekah L. Waikel +2 more

Assessing Large Language Model Performance Related to Aging in Genetic Conditions

medRxiv(2025)10.1101/2025.01.19.25320798

N/A

0DataRank · unranked

1 citations

Kendall A. Flaharty, Suzanna E. Ledgister Hanchard, Ping Hu, Dat Duong, Rebekah L. Waikel +2 more