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

Yu Zhang

Neurosciences Institute

ORCID: 0000-0003-4087-6544

Also affiliated with University of South Florida, Nanjing University of Science and Technology, Space Engineering University, Artificial Intelligence in Medicine (Canada), Stanford University

NeuroscienceComputer SciencePsychology

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 2%percentile
2.4Author 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.

A toolbox for brain network construction and classification (BrainNetClass)

Human Brain Mapping(2020)10.1002/hbm.24979
Top 9%
2.4DataRank
Top 9%72 citations

Xiaobo Chen, Yu Zhang, Dan Hu, Lishan Qiao, Renping Yu +5 more

Papers

Driven by 17 papers — median percentile 91. Top paper: “A toolbox for brain network construction and classification (BrainNetClass)”.

A toolbox for brain network construction and classification (BrainNetClass)

Human Brain Mapping(2020)10.1002/hbm.24979
Top 9%
2.4DataRank
Top 9%72 citations

Xiaobo Chen, Yu Zhang, Dan Hu, Lishan Qiao, Renping Yu +5 more

Individual deviations from normative electroencephalographic connectivity predict antidepressant response

Journal of Affective Disorders(2024)10.1016/j.jad.2024.01.177
N/A
0.659DataRank · unranked
18 citations

Hua Xie, Wei Wu, Corey J. Keller, Gregory A. Fonzo, Matthieu Chidharom +4 more

Modern views of machine learning for precision psychiatry

Patterns(2022)10.1016/j.patter.2022.100602
N/A
0DataRank · unranked
176 citations

Prathamesh Kulkarni, Isaac R. Galatzer‐Levy, Benedetta Bigio, Carla Nasca, Yu Zhang +1 more

Cerebral cortex layer segmentation using diffusion magnetic resonance imaging in vivo with applications to laminar connections and working memory analysis

Human Brain Mapping(2022)10.1002/hbm.25998
N/A
0DataRank · unranked
6 citations

Zhe Sun, Feng Duan, Liang Shi, Yu Zhang, Jordi Solé‐Casals +2 more

A generalizable functional connectivity signature characterizes brain dysfunction and links to rTMS treatment response in cocaine use disorder

medRxiv(2023)10.1101/2023.04.21.23288948
N/A
0DataRank · unranked
6 citations

Gregory A. Fonzo, Hua Xie, Desmond J. Oathes, Corey J. Keller, Nancy B. Carlisle +4 more

Individual Deviations from Normative Electroencephalographic Connectivity Predict Antidepressant Response

medRxiv(2023)10.1101/2023.05.24.23290434
N/A
0DataRank · unranked
4 citations

Hua Xie, Wei Wu, Corey J. Keller, Gregory A. Fonzo, Matthieu Chidharom +4 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

Symptom dimensions of resting-state electroencephalographic functional connectivity in autism

Nature Mental Health(2024)10.1038/s44220-023-00195-w
N/A
0DataRank · unranked
26 citations

Hua Xie, Gregory A. Fonzo, Kanhao Zhao, Theodore D. Satterthwaite, Nancy B. Carlisle +2 more

Discriminative functional connectivity signature of cocaine use disorder links to rTMS treatment response

Nature Mental Health(2024)10.1038/s44220-024-00209-1
N/A
0DataRank · unranked
19 citations

Gregory A. Fonzo, Hua Xie, Desmond J. Oathes, Corey J. Keller, Nancy B. Carlisle +4 more

Delineating Transdiagnostic Subtypes in Neurodevelopmental Disorders via Contrastive Graph Machine Learning of Brain Connectivity Patterns

bioRxiv (Cold Spring Harbor Laboratory)(2024)10.1101/2024.02.29.582790
N/A
0DataRank · unranked
3 citations

Kanhao Zhao, Lina Yao, Gregory A. Fonzo, Theodore D. Satterthwaite, Islem Rekik +2 more

Deep graph learning of multimodal brain networks defines treatment-predictive signatures in major depression

Molecular Psychiatry(2025)10.1038/s41380-025-02974-6
N/A
0DataRank · unranked
35 citations

Kanhao Zhao, Xinxu Wei, Nancy B. Carlisle, Corey J. Keller, Desmond J. Oathes +3 more

Contrastive functional connectivity defines neurophysiology-informed symptom dimensions in major depression

Cell Reports Medicine(2025)10.1016/j.xcrm.2025.102151
N/A
0DataRank · unranked
7 citations

Xiaoyu Tong, Nancy B. Carlisle, Hua Xie, Corey J. Keller, Desmond J. Oathes +5 more

Multiband EEG signatures decoded using machine learning for predicting rTMS treatment response in MDD

Journal of Affective Disorders(2025)10.1016/j.jad.2025.119483
N/A
0DataRank · unranked
4 citations

Xiaoyu Tong, Kanhao Zhao, Nancy B. Carlisle, Desmond J. Oathes, Gregory A. Fonzo +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

Identification of psychiatric disorder subtypes from functional connectivity patterns in resting-state electroencephalography

Nature Biomedical Engineering(2020)10.1038/s41551-020-00614-8
N/A
0DataRank · unranked
235 citations

Wei Wu, Russell Toll, Sharon Naparstek, Adi Maron‐Katz, Mallissa Watts +16 more

Deep Learning of Brain-Behavior Dimensions Identifies Transdiagnostic Biotypes in Youth with ADHD and Anxiety Disorders

bioRxiv (Cold Spring Harbor Laboratory)(2025)10.1101/2025.10.13.682243
N/A
0DataRank · unranked
0 citations

Xiaoyu Tong, Gregory A. Fonzo, Ian H. Gotlib, Kilian M. Pohl, Theodore D. Satterthwaite +3 more

A dynamic graph convolutional neural network framework reveals new insights into connectome dysfunctions in ADHD

NeuroImage(2021)10.1016/j.neuroimage.2021.118774
N/A
0DataRank · unranked
144 citations

Boris Duka, Hua Xie, Desmond J. Oathes, Vince D. Calhoun, Yu Zhang +1 more