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

Lifang He

Lehigh University

ORCID: 0000-0001-7810-9071
Computer ScienceNeurosciencePhysics and Astronomy

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 4%percentile
0.750Author DataRank

Indexed papers

1in pilot corpus
datarank_citation_only_1hop_v6· scope data_onlyMethodology
Why this DataRank?

An author's DataRank is the sum of the DataRanks of all 1 indexed paper attributed to them. A prolific author with many moderate-impact papers can outrank one with a single high-impact paper.

Author scores recompute whenever paper DataRanks are refreshed, so this number lags the underlying paper scores by at most one batch run.

Read the full methodology →

Top data-sharing exemplar

The highest-impact dataset this researcher has shared, ranked by DataRank — the single contribution doing the most to lift their data-sharing standing.

Risk of Persistent Opioid Use following Major Surgery in Matched Samples of Patients with and without Cancer

Cancer Epidemiology Biomarkers & Prevention(2020)10.1158/1055-9965.epi-20-0628
Top 27%
0.750DataRank
Top 27%12 citations

Chongliang Luo, Yong Chen, David Birtwell, Martin D. Cheatle, Rui Duan +13 more

Papers

Driven by 24 papers — median percentile 73. Top paper: “Risk of Persistent Opioid Use following Major Surgery in Matched Samples of Patients with and without Cancer”.

Risk of Persistent Opioid Use following Major Surgery in Matched Samples of Patients with and without Cancer

Cancer Epidemiology Biomarkers & Prevention(2020)10.1158/1055-9965.epi-20-0628
Top 27%
0.750DataRank
Top 27%12 citations

Chongliang Luo, Yong Chen, David Birtwell, Martin D. Cheatle, Rui Duan +13 more

Tensor-based Multi-Modality Feature Selection and Regression for Alzheimer’s Disease Diagnosis

PubMed(2022)10.5121/csit.2022.121812
N/A
0.310DataRank · unranked
3 citations

Zhaoming Kong, Liang Zhan, Li Shen, Lifang He, Jun Ye Yu

BrainGB: A Benchmark for Brain Network Analysis With Graph Neural Networks

IEEE Transactions on Medical Imaging(2022)10.1109/tmi.2022.3218745
N/A
0DataRank · unranked
196 citations

Wei Dai, Yanqiao Zhu, Xuan Kan, Antonio Aodong Chen Gu, Joshua Lukemire +5 more

Federated Multi-view Learning for Private Medical Data Integration and Analysis

ACM Transactions on Intelligent Systems and Technology(2022)10.1145/3501816
N/A
0DataRank · unranked
41 citations

Zhaoming Kong, Hao Peng, Lichao Sun, Alex Leow, Yong Chen +2 more

HBcompare: Classifying Ligand Binding Preferences with Hydrogen Bond Topology

Biomolecules(2022)10.3390/biom12111589
N/A
0DataRank · unranked
1 citations

Zhaoming Kong, Omar Ahmed, Lifang He, Brian Y. Chen, Justin Z. Tam

Deep learning for drug repurposing: methods, databases, and applications

arXiv (Cornell University)(2022)10.48550/arxiv.2202.05145
N/A
0DataRank · unranked
11 citations

Xuan Lin, Dongsheng Cao, Xiangxiang Zeng, Philip S. Yu, Lifang He +3 more

Variational Graph Generator for Multi-View Graph Clustering

arXiv (Cornell University)(2022)10.48550/arxiv.2210.07011
N/A
0DataRank · unranked
4 citations

Yawen Ling, Jie Xu, Yazhou Ren, Shudong Huang, Xiaorong Pu +4 more

A generalist vision–language foundation model for diverse biomedical tasks

Nature Medicine(2024)10.1038/s41591-024-03185-2
N/A
0DataRank · unranked
217 citations

Rong Zhou, Eashan Adhikarla, Zhiling Yan, Yixin Liu, Jun Yu +18 more

Multi-Modal Diagnosis of Alzheimer’s Disease Using Interpretable Graph Convolutional Networks

IEEE Transactions on Medical Imaging(2024)10.1109/tmi.2024.3432531
N/A
0DataRank · unranked
38 citations

Lifang He, Brian Y. Chen, Li Shen, Yu Zhang, Houliang Zhou

CRISPR-GEM: A Novel Machine Learning Model for CRISPR Genetic Target Discovery and Evaluation

ACS Synthetic Biology(2024)10.1021/acssynbio.4c00473
N/A
0DataRank · unranked
6 citations

Yu Zhang, Lifang He, Tomas Gonzalez‐Fernandez, Joshua P. Graham

TGNet: tensor-based graph convolutional networks for multimodal brain network analysis

BioData Mining(2024)10.1186/s13040-024-00409-6
N/A
0DataRank · unranked
3 citations

Rong Zhou, Xinwei Luo, Songlin Zhao, Ann Ragin, Alex Leow +2 more

Adaptive Feature Imputation with Latent Graph for Deep Incomplete Multi-View Clustering

Proceedings of the AAAI Conference on Artificial Intelligence(2024)10.1609/aaai.v38i13.29380
N/A
0DataRank · unranked
29 citations

Chenhang Cui, Xinyue Chen, Yazhou Ren, Xiaorong Pu, Zhifeng Hao +3 more

Homophily-Related: Adaptive Hybrid Graph Filter for Multi-View Graph Clustering

Proceedings of the AAAI Conference on Artificial Intelligence(2024)10.1609/aaai.v38i14.29514
N/A
0DataRank · unranked
20 citations

Yawen Ling, Yazhou Ren, Tianyi Wu, Jianpeng Chen, Xiaorong Pu +3 more

Dual-Optimized Adaptive Graph Reconstruction for Multi-View Graph Clustering

arXiv (Cornell University)(2024)10.1145/3664647.3680677
N/A
0DataRank · unranked
6 citations

Tianyi Wu, Yazhou Ren, Yawen Ling, Chenhang Cui, Xiaorong Pu +2 more

Interpretable Spatio-Temporal Embedding for Brain Structural-Effective Network with Ordinary Differential Equation

Lecture notes in computer science(2024)10.1007/978-3-031-72069-7_22
N/A
0DataRank · unranked
5 citations

Guodong Liu, Siyuan Dai, Kai Ye, Kun Zhao, Wenlu Wang +7 more

VGG-ST: A VGG-Swin Transformer-Based Model for ROP Disease Diagnosis

(2024)10.1109/bibm62325.2024.10822551
N/A
0DataRank · unranked
1 citations

Songlin Zhao, Yong Chen, Gui-Shuang Ying, Lifang He, Xinwei Luo

Homophily-Related: Adaptive Hybrid Graph Filter for Multi-View Graph Clustering

arXiv (Cornell University)(2024)10.48550/arxiv.2401.02682
N/A
0DataRank · unranked
0 citations

Yawen Ling, Yazhou Ren, Tianyi Wu, Jianpeng Chen, Xiaorong Pu +3 more

CRISPR-GEM: A Novel Machine Learning Model for CRISPR Genetic Target Discovery and Evaluation

bioRxiv (Cold Spring Harbor Laboratory)(2024)10.1101/2024.07.01.601587
N/A
0DataRank · unranked
0 citations

Yu Zhang, Lifang He, Tomas Gonzalez‐Fernandez, Josh P. Graham

Normative Modeling for AD Diagnosis and Biomarker Identification

arXiv (Cornell University)(2024)10.48550/arxiv.2411.10570
N/A
0DataRank · unranked
0 citations

Rong Zhou, Yu Zhang, Yong Chen, Lifang He, Songlin Zhao

BrainODE: Dynamic Brain Signal Analysis via Graph-Aided Neural Ordinary Differential Equations

(2024)10.1109/bhi62660.2024.10913768
N/A
0DataRank · unranked
0 citations

Yi Yang, Zijie Huang, Xuan Kan, Ying‐Qing Guo, Yang Yang +6 more

Machine Learning Models for Predicting Treatment-Requiring Retinopathy of Prematurity in the e-ROP Study

Translational Vision Science & Technology(2025)10.1167/tvst.14.8.14
N/A
0DataRank · unranked
2 citations

Xinwei Luo, Bowen Ying, Graham E. Quinn, Agnieshka Baumritter, Yong Chen +3 more

A functional system-informed graph neural network framework to quantify interpretable brain dysfunction in ASD

Neural Networks(2025)10.1016/j.neunet.2025.108295
N/A
0DataRank · unranked
1 citations

Xinxu Wei, Lifang He, Yu Zhang, Yong Jiao

SegImgNet: Segmentation-Guided Dual-Branch Network for Retinal Disease Diagnoses

Proceedings of the AAAI Symposium Series(2025)10.1609/aaaiss.v5i1.35547
N/A
0DataRank · unranked
0 citations

Songlin Zhao, Yun Zong, Yong Chen, Gui‐Shuang Ying, Lifang He +1 more

DeepVASP-E: A Flexible Analysis of Electrostatic Isopotentials for Finding and Explaining Mechanisms that Control Binding Specificity

bioRxiv (Cold Spring Harbor Laboratory)(2021)10.1101/2021.08.22.456843
N/A
0DataRank · unranked
2 citations

Zhaoming Kong, Lifang He, Brian Y. Chen, Felix M. Quintana