Yu-Fang Jin

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: “Classification of Cancer Types Using Graph Convolutional Neural Networks”.

Classification of Cancer Types Using Graph Convolutional Neural Networks

Frontiers in Physics(2020)10.3389/fphy.2020.00203

N/A

0DataRank · unranked

142 citations

Yu‐Chiao Chiu, Allen Hererra, Milad Mostavi, Joshua Ramirez, Yidong Chen +3 more

Multimodal Identification of Molecular Factors Linked to Severe Diabetic Foot Ulcers Using Artificial Intelligence

International Journal of Molecular Sciences(2024)10.3390/ijms251910686

N/A

0DataRank · unranked

5 citations

Yu-Fang Jin, Mahmoud ElHefnawi, Yidong Chen, Mario Flores, Anita Omo-Okhuasuyi

Transformer and graph variational autoencoder to identify microenvironments: A deep learning protocol for spatial transcriptomics

STAR Protocols(2025)10.1016/j.xpro.2025.104206

N/A

0DataRank · unranked

1 citations

Yufei Huang, Shou‐Jiang Gao, Yidong Chen, Yu-Fang Jin, Mario Flores +1 more

Cell type prediction with neighborhood-enhanced cellular embedding using deep learning on hematoxylin and eosin-stained images

Computational and Structural Biotechnology Journal(2025)10.1016/j.csbj.2025.07.026

N/A

0DataRank · unranked

0 citations

Hanzhou Wang, Tapsya Nayak, Zhenqing Ye, Yu‐Chiao Chiu, Yu-Fang Jin +3 more