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

Chaoyi Zhang

Sichuan University

ORCID: 0000-0001-8492-9711
MedicineBiochemistry, 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

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 →

Papers

Driven by 14 papers. Top paper: “Superficial white matter analysis: An efficient point-cloud-based deep learning framework with supervised contrastive learning for consistent tractography parcellation across populations and dMRI acquisitions”.

Superficial white matter analysis: An efficient point-cloud-based deep learning framework with supervised contrastive learning for consistent tractography parcellation across populations and dMRI acquisitions

Medical Image Analysis(2023)10.1016/j.media.2023.102759
N/A
0.923DataRank · unranked
55 citations

Chaoyi Zhang, Yuqian Chen, Yang Song, Alexandra J. Golby, Nikos Makris +4 more

TractCloud: Registration-Free Tractography Parcellation with a Novel Local-Global Streamline Point Cloud Representation

Lecture Notes in Computer Science(2023)10.1007/978-3-031-43993-3_40
N/A
0.385DataRank · unranked
12 citations

Yuqian Chen, Chaoyi Zhang, Alexandra J. Golby, Nikos Makris, Yogesh Rathi +4 more

SupWMA: Consistent and Efficient Tractography Parcellation of Superficial White Matter with Deep Learning

arXiv (Cornell University)(2022)10.48550/arxiv.2201.12528
N/A
0DataRank · unranked
0 citations

Fan Zhang, Chaoyi Zhang, Yuqian Chen, Yang Song, Nikos Makris +4 more

Deep fiber clustering: Anatomically informed fiber clustering with self-supervised deep learning for fast and effective tractography parcellation

NeuroImage(2023)10.1016/j.neuroimage.2023.120086
N/A
0DataRank · unranked
32 citations

Chaoyi Zhang, Tengfei Xue, Yang Song, Nikos Makris, Yogesh Rathi +4 more

Self-Supervised Deep Unrolled Reconstruction Using Regularization by Denoising

IEEE Transactions on Medical Imaging(2023)10.1109/tmi.2023.3332614
N/A
0DataRank · unranked
27 citations

Chaoyi Zhang, Xiaoliang Zhang, Xiaojuan Li, Dong Liang, Leslie Ying +1 more

TractGeoNet: A geometric deep learning framework for pointwise analysis of tract microstructure to predict language assessment performance

arXiv (Cornell University)(2023)10.48550/arxiv.2307.03982
N/A
0DataRank · unranked
1 citations

Leo Zekelman, Chaoyi Zhang, Tengfei Xue, Yang Song, Nikos Makris +6 more

Acceleration of three-dimensional diffusion magnetic resonance imaging using a kernel low-rank compressed sensing method

NeuroImage(2020)10.1016/j.neuroimage.2020.116584
N/A
0DataRank · unranked
21 citations

Tanzil Mahmud Arefin, Ukash Nakarmi, Choong H. Lee, Hongyu Li, Dong Liang +3 more

TractCloud: Registration-free tractography parcellation with a novel local-global streamline point cloud representation

arXiv (Cornell University)(2023)10.48550/arxiv.2307.09000
N/A
0DataRank · unranked
0 citations

Yuqian Chen, Chaoyi Zhang, Alexandra J. Golby, Nikos Makris, Yogesh Rathi +4 more

TractGeoNet: A geometric deep learning framework for pointwise analysis of tract microstructure to predict language assessment performance

Medical Image Analysis(2024)10.1016/j.media.2024.103120
N/A
0DataRank · unranked
13 citations

Leo Zekelman, Chaoyi Zhang, Tengfei Xue, Yang Song, Nikos Makris +6 more

TractoSCR: a novel supervised contrastive regression framework for prediction of neurocognitive measures using multi-site harmonized diffusion MRI tractography

Frontiers in Neuroscience(2024)10.3389/fnins.2024.1411797
N/A
0DataRank · unranked
8 citations

Fan Zhang, Leo Zekelman, Chaoyi Zhang, Yuqian Chen, Suheyla Cetin‐Karayumak +7 more

TractGraphFormer: Anatomically Informed Hybrid Graph CNN-Transformer Network for Interpretable Sex and Age Prediction from Diffusion MRI Tractography

arXiv (Cornell University)(2024)10.48550/arxiv.2407.08883
N/A
0DataRank · unranked
0 citations

Fan Zhang, Meng Wang, Leo Zekelman, Suheyla Cetin‐Karayumak, Tengfei Xue +8 more

TractGraphFormer: Anatomically informed hybrid graph CNN-transformer network for interpretable sex and age prediction from diffusion MRI tractography

Medical Image Analysis(2025)10.1016/j.media.2025.103476
N/A
0DataRank · unranked
11 citations

Fan Zhang, Meng Wang, Leo Zekelman, Suheyla Cetin‐Karayumak, Tengfei Xue +8 more

TractGraphCNN: anatomically informed graph CNN for classification using diffusion MRI tractography

arXiv (Cornell University)(2023)10.48550/arxiv.2301.01911
N/A
0DataRank · unranked
0 citations

Fan Zhang, Leo Zekelman, Tengfei Xue, Chaoyi Zhang, Yang Song +5 more

Diagnostic interchangeability of deep convolutional neural networks reconstructed knee MR images: preliminary experience

Quantitative Imaging in Medicine and Surgery(2020)10.21037/qims-20-664
N/A
0DataRank · unranked
27 citations

Hongyu Li, Mingrui Yang, Carl S. Winalski, Joshua M. Polster, Nancy A. Obuchowski +10 more