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

Yanda Meng

King Abdullah University of Science and Technology

ORCID: 0000-0001-7344-2174

Computer ScienceNeuroscience

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 3 papers. Top paper: “Artificial intelligence utilising corneal confocal microscopy for the diagnosis of peripheral neuropathy in diabetes mellitus and prediabetes”.

Artificial intelligence utilising corneal confocal microscopy for the diagnosis of peripheral neuropathy in diabetes mellitus and prediabetes

Diabetologia(2021)10.1007/s00125-021-05617-x

N/A

0DataRank · unranked

69 citations

Yanda Meng, Jamie Burgess, Maryam Ferdousi, Shazli Azmi, Ioannis N. Petropoulos +5 more

Artificial Intelligence Based Analysis of Corneal Confocal Microscopy Images for Diagnosing Peripheral Neuropathy: A Binary Classification Model

Journal of Clinical Medicine(2023)10.3390/jcm12041284

N/A

0DataRank · unranked

33 citations

Frank Preston, Maryam Ferdousi, Shazli Azmi, Ioannis N. Petropoulos, Stephen B. Kaye +4 more

Enhancing diagnostic accuracy in rare and common fundus diseases with a knowledge-rich vision-language model

Nature Communications(2025)10.1038/s41467-025-60577-9

N/A

0DataRank · unranked

19 citations

Tian Lin, Aidi Lin, Kai Yu, Yuanyuan Peng, Lianyu Wang +44 more