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

Rongguang Wang

ORCID: 0000-0001-8783-9252
Computer ScienceMedicine

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 5%percentile
0.379Author 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.

Generative models of MRI-derived neuroimaging features and associated dataset of 18,000 samples

Scientific Data(2024)10.1038/s41597-024-04157-4
Top 48%
0.379DataRank
Top 48%7 citations

Rongguang Wang, Zhijian Yang, Vasiliki Tassopoulou, Fanyang Yu, Vishnu Bashyam +5 more

Papers

Driven by 7 papers — median percentile 52. Top paper: “Applications of generative adversarial networks in neuroimaging and clinical neuroscience”.

Applications of generative adversarial networks in neuroimaging and clinical neuroscience

NeuroImage(2023)10.1016/j.neuroimage.2023.119898
N/A
0.691DataRank · unranked
99 citations

Vishnu Bashyam, Zhijian Yang, Fanyang Yu, Vasiliki Tassopoulou, Sai Spandana Chintapalli +8 more

Dimensional Neuroimaging Endophenotypes: Neurobiological Representations of Disease Heterogeneity Through Machine Learning

Biological Psychiatry(2024)10.1016/j.biopsych.2024.04.017
N/A
0.515DataRank · unranked
30 citations

Mathilde Antoniades, Zhijian Yang, Gyujoon Hwang, Ioanna Skampardoni, Rongguang Wang +2 more

Generative models of MRI-derived neuroimaging features and associated dataset of 18,000 samples

Scientific Data(2024)10.1038/s41597-024-04157-4
Top 48%
0.379DataRank
Top 48%7 citations

Rongguang Wang, Zhijian Yang, Vasiliki Tassopoulou, Fanyang Yu, Vishnu Bashyam +5 more

Generative models of MRI-derived neuroimaging features and associated dataset of 18,000 samples

arXiv (Cornell University)(2024)10.48550/arxiv.2407.12897
N/A
0DataRank · unranked
0 citations

Rongguang Wang, Zhijian Yang, Vasiliki Tassopoulou, Fanyang Yu, Vishnu Bashyam +5 more

Bias in machine learning models can be significantly mitigated by careful training: Evidence from neuroimaging studies

Proceedings of the National Academy of Sciences(2023)10.1073/pnas.2211613120
N/A
0DataRank · unranked
77 citations

Pratik Chaudhari, Christos Davatzikos, Rongguang Wang

Editorial for “Non‐Invasive Evaluation of the Notch Signaling Pathway via Radiomic Signatures Based on Multiparametric MRI in Association With Biological Functions of Patients With Glioma: A Multi‐Institutional Study”

Journal of Magnetic Resonance Imaging(2022)10.1002/jmri.28377
N/A
0DataRank · unranked
0 citations

Pratik Chaudhari, Christos Davatzikos, Rongguang Wang

Embracing the disharmony in medical imaging: A Simple and effective framework for domain adaptation

Medical Image Analysis(2021)10.1016/j.media.2021.102309
N/A
0DataRank · unranked
2 citations

Pratik Chaudhari, Christos Davatzikos, Rongguang Wang