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

Aidong Zhang

University of Virginia

ORCID: 0000-0001-9723-3246
Biochemistry, Genetics and Molecular BiologyComputer Science

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 13 papers. Top paper: “DARDN: A Deep-Learning Approach for CTCF Binding Sequence Classification and Oncogenic Regulatory Feature Discovery”.

DARDN: A Deep-Learning Approach for CTCF Binding Sequence Classification and Oncogenic Regulatory Feature Discovery

Genes(2024)10.3390/genes15020144
N/A
0.241DataRank · unranked
4 citations

Zhenjia Wang, Yidan Cong, Stefan Bekiranov, Aidong Zhang, Chongzhi Zang +1 more

DeepGSEA: explainable deep gene set enrichment analysis for single-cell transcriptomic data

Bioinformatics(2024)10.1093/bioinformatics/btae434
N/A
0DataRank · unranked
4 citations

Nathan J. LeRoy, Stefan Bekiranov, Nathan C. Sheffield, Aidong Zhang, Guangzhi Xiong

Methods for constructing and evaluating consensus genomic interval sets

Nucleic Acids Research(2024)10.1093/nar/gkae685
N/A
0DataRank · unranked
4 citations

Yuchen Sun, Guangtao Zheng, Nathan J. LeRoy, Maria Murach, Neil Phan +3 more

Benchmarking Retrieval-Augmented Generation for Medicine

(2024)10.18653/v1/2024.findings-acl.372
N/A
0DataRank · unranked
229 citations

Qiao Jin, ZHIYONG LU, Aidong Zhang, Guangzhi Xiong

Benchmarking Retrieval-Augmented Generation for Medicine

arXiv (Cornell University)(2024)10.48550/arxiv.2402.13178
N/A
0DataRank · unranked
23 citations

Qiao Jin, ZHIYONG LU, Aidong Zhang, Guangzhi Xiong

Uncovering Important Diagnostic Features for Alzheimer’s, Parkinson’s and Other Dementias Using Interpretable Association Mining Methods

PubMed(2024)10.1142/9789819807024_0045
N/A
0DataRank · unranked
3 citations

Mary Regina Boland, Bojian Hou, Victoria Lu, Carol Manning, Li Shen +2 more

Ensuring Safety and Trust: Analyzing the Risks of Large Language Models in Medicine

arXiv (Cornell University)(2024)10.48550/arxiv.2411.14487
N/A
0DataRank · unranked
3 citations

Qiao Jin, Robert Leaman, Xiaoyu Liu, Guangzhi Xiong, Maame Sarfo-Gyamfi +13 more

Entry-level guide to the use of large language models for medical research

PubMed(2024)10.48550/arxiv.2410.18856
N/A
0DataRank · unranked
2 citations

Nicholas Wan, Robert Leaman, Shubo Tian, Zhizheng Wang, Yifan Yang +18 more

Embracing Foundation Models for Advancing Scientific Discovery

PubMed(2024)10.1109/bigdata62323.2024.10825618
N/A
0DataRank · unranked
1 citations

Amir Hassan Shariatmadari, Guangzhi Xiong, Aidong Zhang, Sikun Guo

ConceptDrift: leveraging spatial, temporal and semantic evolution of biomedical concepts for hypothesis generation

Bioinformatics(2025)10.1093/bioinformatics/btaf563
N/A
0DataRank · unranked
0 citations

Alireza Jafari, Sikun Guo, S. Srinivasan, Nathan C. Sheffield, Aidong Zhang +2 more

InfAL: Inference Time Adversarial Learning for Improving Research Ideation

(2025)10.18653/v1/2025.findings-emnlp.667
N/A
0DataRank · unranked
0 citations

Amir Hassan Shariatmadari, Peng Wang, Albert Huang, Aidong Zhang, Sikun Guo

Embeddings of genomic region sets capture rich biological associations in lower dimensions

Bioinformatics(2021)10.1093/bioinformatics/btab439
N/A
0DataRank · unranked
33 citations

Aaron Gu, Guangtao Zheng, Jason P. Smith, Hyun Jae Cho, Aidong Zhang +3 more

COCO-Tree: Compositional Hierarchical Concept Trees for Enhanced Reasoning in Vision-Language Models

(2025)10.18653/v1/2025.emnlp-main.135
N/A
0DataRank · unranked
0 citations

Guangzhi Xiong, Aidong Zhang, Sanchit Sinha