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

Weidong Cai

The University of Sydney

ORCID: 0000-0003-3706-8896
Computer SciencePsychologyEngineering

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 3%percentile
1.3Author DataRank

Indexed papers

2in 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 2 indexed papers 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.

BigNeuron: a resource to benchmark and predict performance of algorithms for automated tracing of neurons in light microscopy datasets

Nature Methods(2023)10.1038/s41592-023-01848-5
Top 21%
0.988DataRank
Top 21%55 citations

Zhi Zhou, Hanbo Chen, Arvind Ramanathan, Xiaoxiao Liu, Yufeng Liu +60 more

Papers

Driven by 20 papers — median percentile 61. Top paper: “BigNeuron: a resource to benchmark and predict performance of algorithms for automated tracing of neurons in light microscopy datasets”.

BigNeuron: a resource to benchmark and predict performance of algorithms for automated tracing of neurons in light microscopy datasets

Nature Methods(2023)10.1038/s41592-023-01848-5
Top 21%
0.988DataRank
Top 21%55 citations

Zhi Zhou, Hanbo Chen, Arvind Ramanathan, Xiaoxiao Liu, Yufeng Liu +60 more

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

Fiber Tract Shape Measures Inform Prediction of Non-Imaging Phenotypes

arXiv (Cornell University)(2023)10.48550/arxiv.2303.09124
N/A
0.328DataRank · unranked
5 citations

Yuqian Chen, Chuyang Ye, Nikos Makris, Yogesh Rathi, Weidong Cai +3 more

BigNeuron : A resource to benchmark and predict best-performing algorithms for automated reconstruction of neuronal morphology

bioRxiv (Cold Spring Harbor Laboratory)(2022)10.1101/2022.05.10.491406
Top 57%
0.279DataRank
Top 57%4 citations

Zhi Zhou, Hanbo Chen, Arvind Ramanathan, Xiaoxiao Liu, Yufeng Liu +60 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

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

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

TractCloud‐FOV: Deep Learning‐Based Robust Tractography Parcellation in Diffusion MRI With Incomplete Field of View

Human Brain Mapping(2025)10.1002/hbm.70201
N/A
0DataRank · unranked
7 citations

Leo Zekelman, Yui Lo, Suheyla Cetin‐Karayumak, Tengfei Xue, Yogesh Rathi +5 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

TractShapeNet: Efficient Multi-Shape Learning with 3D Tractography Point Clouds

arXiv (Cornell University)(2024)10.48550/arxiv.2410.22099
N/A
0DataRank · unranked
0 citations

Yuqian Chen, Dongnan Liu, Jon Haitz Legarreta, Leo Zekelman, Fan Zhang +7 more

White Matter Geometry-Guided Score-Based Diffusion Model for Tissue Microstructure Imputation in Tractography Imaging

arXiv (Cornell University)(2024)10.48550/arxiv.2407.19460
N/A
0DataRank · unranked
0 citations

Yuqian Chen, Fan Zhang, Dongnan Liu, Leo Zekelman, Suheyla Cetin‐Karayumak +4 more

The Shape of the Brain's Connections Is Predictive of Cognitive Performance: An Explainable Machine Learning Study

Human Brain Mapping(2025)10.1002/hbm.70166
N/A
0DataRank · unranked
14 citations

Yuqian Chen, Dongnan Liu, Wan Liu, Leo Zekelman, Jarrett Rushmore +7 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

TractShapeNet: Efficient Multi-Shape Learning with 3D Tractography Point Clouds

(2025)10.1109/isbi60581.2025.10981095
N/A
0DataRank · unranked
4 citations

Yuqian Chen, Dongnan Liu, Jon Haitz Legarreta, Leo Zekelman, Fan Zhang +7 more

Study of Sex Differences in the Whole Brain White Matter Using Diffusion MRI Tractography and Suprathreshold Fiber Cluster Statistics

bioRxiv (Cold Spring Harbor Laboratory)(2025)10.1101/2025.09.27.679006
N/A
0DataRank · unranked
1 citations

R. Jarrett Rushmore, Yijie Li, Suheyla Cetin‐Karayumak, Yang Song, Weidong Cai +6 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

High angular diffusion tensor imaging estimation from minimal evenly distributed diffusion gradient directions

Frontiers in Radiology(2023)10.3389/fradi.2023.1238566
N/A
0DataRank · unranked
6 citations

Sheng Chen, Arkiev D’Souza, Dongnan Liu, Fernando Calamante, Michael Barnett +4 more