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

Chen Qiao

North China Electric Power University

ORCID: 0000-0003-0023-175X

Also affiliated with State Grid Corporation of China (China), Xi'an Jiaotong University

NeuroscienceComputer 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 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 →

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.

The global trends and distribution in tumor-infiltrating lymphocytes over the past 49 years: bibliometric and visualized analysis

Frontiers in Immunology(2025)10.3389/fimmu.2024.1511866
Top 100%
0DataRank
Top 100%0 citations

Ding Luo, Xuejie Wang, Chen Qiao, Rui Li, Jian Liu +1 more

Papers

Driven by 7 papers — median percentile 0. Top paper: “Explainable spatio-temporal graph evolution learning with applications to dynamic brain network analysis during development”.

Explainable spatio-temporal graph evolution learning with applications to dynamic brain network analysis during development

NeuroImage(2024)10.1016/j.neuroimage.2024.120771
N/A
0.373DataRank · unranked
11 citations

Chen Qiao, Jiancheng Li, Gang Qu, Vince D. Calhoun, Julia M. Stephen +3 more

Tensor dictionary-based heterogeneous transfer learning to study emotion-related gender differences in brain

Neural Networks(2024)10.1016/j.neunet.2024.106974
N/A
0.165DataRank · unranked
2 citations

Chen Qiao, Takafumi Kanamori, Vince D. Calhoun, Julia M. Stephen, Tony W. Wilson +2 more

Deep Learning in Neuroimaging: Promises and challenges

IEEE Signal Processing Magazine(2022)10.1109/msp.2021.3128348
N/A
0DataRank · unranked
78 citations

Gang Qu, Wenxing Hu, Anees Abrol, Biao Cai, Chen Qiao +5 more

An explainable autoencoder with multi-paradigm fMRI fusion for identifying differences in dynamic functional connectivity during brain development

Neural Networks(2022)10.1016/j.neunet.2022.12.007
N/A
0DataRank · unranked
10 citations

Chen Qiao, Huiyu Zhou, Vince D. Calhoun, Julia M. Stephen, Tony W. Wilson +2 more

Sparse deep dictionary learning identifies differences of time-varying functional connectivity in brain neuro-developmental study

Neural Networks(2020)10.1016/j.neunet.2020.12.007
N/A
0DataRank · unranked
13 citations

Yang Lan, Vince D. Calhoun, Zong-Ben Xu, Yu‐Ping Wang, Chen Qiao

A Deep Spatio-Temporal Architecture for Dynamic Effective Connectivity Network Analysis Based on Dynamic Causal Discovery

arXiv (Cornell University)(2025)10.48550/arxiv.2501.18859
N/A
0DataRank · unranked
1 citations

Yiding Wang, Chen Qiao, Gang Qu, Vince D. Calhoun, Julia M. Stephen +3 more

The global trends and distribution in tumor-infiltrating lymphocytes over the past 49 years: bibliometric and visualized analysis

Frontiers in Immunology(2025)10.3389/fimmu.2024.1511866
Top 100%
0DataRank
Top 100%0 citations

Ding Luo, Xuejie Wang, Chen Qiao, Rui Li, Jian Liu +1 more