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

Jiehui Jiang

Shanghai University

ORCID: 0000-0003-4948-3683
MedicineNeuroscience

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 6%percentile
0.273Author 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.

Temporo‐frontoparietal hypoconnectivity as a biomarker for isolated language impairment in mild cognitive impairment: A cross‐cohort comparison

Alzheimer s & Dementia(2024)10.1002/alz.14155
Top 58%
0.273DataRank
Top 58%4 citations

Wenjing Hu, Liang Cui, Zhen Zhang, Yao Lu, Qinjie Li +6 more

Papers

Driven by 19 papers — median percentile 42. Top paper: “A novel spatiotemporal graph convolutional network framework for functional connectivity biomarkers identification of Alzheimer’s disease”.

A novel spatiotemporal graph convolutional network framework for functional connectivity biomarkers identification of Alzheimer’s disease

Alzheimer s Research & Therapy(2024)10.1186/s13195-024-01425-8
N/A
0.690DataRank · unranked
20 citations

Le Xue, Shuoyan Zhang, Jiacheng Yang, Qi Zhang, Min Wang +95 more

Individual brain metabolic connectome indicator based on Kullback-Leibler Divergence Similarity Estimation predicts progression from mild cognitive impairment to Alzheimer’s dementia

European Journal of Nuclear Medicine and Molecular Imaging(2020)10.1007/s00259-020-04814-x
N/A
0.688DataRank · unranked
97 citations

Jiehui Jiang, Zhuangzhi Yan, Ian Alberts, Jingjie Ge, Huiwei Zhang +6 more

Staging tau pathology with tau PET in Alzheimer’s disease: a longitudinal study

Translational Psychiatry(2021)10.1038/s41398-021-01602-5
N/A
0.637DataRank · unranked
69 citations

Jiaying Lu, Hong‐Qi Li, Yuxiang Yang, Jiehui Jiang, Mei Cui +94 more

Glucose metabolism in posterior cingulate cortex has supplementary value to predict the progression of cognitively unimpaired to dementia due to Alzheimer’s disease: an exploratory study of 18F-FDG-PET

GeroScience(2023)10.1007/s11357-023-00897-0
N/A
0.635DataRank · unranked
13 citations

Chunqiu Fan, Luyao Wang, Taoran Li, Min Wang, Ying Han +95 more

Parametric estimation of reference signal intensity in the quantification of amyloid-beta deposition: an 18F-AV-45 study

Quantitative Imaging in Medicine and Surgery(2020)10.21037/qims-20-110
N/A
0.360DataRank · unranked
10 citations

Min Wang, Zhuangzhi Yan, Huiwei Zhang, Jiaying Lu, Ling Li +6 more

Temporo‐frontoparietal hypoconnectivity as a biomarker for isolated language impairment in mild cognitive impairment: A cross‐cohort comparison

Alzheimer s & Dementia(2024)10.1002/alz.14155
Top 58%
0.273DataRank
Top 58%4 citations

Wenjing Hu, Liang Cui, Zhen Zhang, Yao Lu, Qinjie Li +6 more

Tau Protein Accumulation Trajectory-Based Brain Age Prediction in the Alzheimer’s Disease Continuum

Brain Sciences(2024)10.3390/brainsci14060575
N/A
0.241DataRank · unranked
4 citations

Min Wei, Luyao Wang, Jun Song, Axel Rominger, Kuangyu Shi +2 more

Combining PET with MRI to improve predictions of progression from mild cognitive impairment to Alzheimer’s disease: an exploratory radiomic analysis study

Annals of Translational Medicine(2022)10.21037/atm-21-4349
N/A
0DataRank · unranked
17 citations

Fan Yang, Jiehui Jiang, Ian Alberts, Min Wang, Taoran Li +5 more

A Novel Deep Learning Radiomics Model to Discriminate AD, MCI and NC: An Exploratory Study Based on Tau PET Scans from ADNI

Brain Sciences(2022)10.3390/brainsci12081067
N/A
0DataRank · unranked
13 citations

Jieming Zhang, Yue Chen, Jiehui Jiang, Yan Zhao

Using Deep Learning Radiomics to Distinguish Cognitively Normal Adults at Risk of Alzheimer’s Disease From Normal Control: An Exploratory Study Based on Structural MRI

Frontiers in Medicine(2022)10.3389/fmed.2022.894726
N/A
0DataRank · unranked
11 citations

Jieming Zhang, Zhuoyuan Li, Lanlan Li, Bingcang Huang, Alzheimer’s Disease Neuroimaging Initiative +1 more

Individual Proportion Loss of Functional Connectivity Strength: A Novel Individual Functional Connectivity Biomarker for Subjective Cognitive Decline Populations

Biology(2023)10.3390/biology12040564
N/A
0DataRank · unranked
0 citations

Hua Lin, Qi Zhang, Rong Shi, Huanyu Xu, Fan Yang +5 more

Perception-Enhanced Generative Adversarial Network for Synthesizing Tau Positron Emission Tomography images from Structural Magnetic Resonance Images: a cross-center and cross-tracer study

Research Square(2023)10.21203/rs.3.rs-3399187/v1
N/A
0DataRank · unranked
0 citations

Jie Sun, Le Xue, Jiaying Lu, Qi Zhang, Shuoyan Zhang +5 more

Prediction of Cognitive Progression Due to Alzheimer's Disease in Normal Participants Based on Individual Default Mode Network Metabolic Connectivity Strength

Biological Psychiatry Cognitive Neuroscience and Neuroimaging(2024)10.1016/j.bpsc.2024.04.004
N/A
0DataRank · unranked
1 citations

Fangjie Li, Min Wei, Min Wang, Luyao Wang, Ying Han +2 more

A Novel Metabolic Connectome Method to Predict Progression to Mild Cognitive Impairment

Behavioural Neurology(2020)10.1155/2020/2825037
N/A
0DataRank · unranked
10 citations

Zhuangzhi Yan, Shuyun Xiao, Chuantao Zuo, Jiehui Jiang, Min Wang

Radiomics analysis of magnetic resonance imaging helps to identify preclinical Alzheimer’s disease: an exploratory study

Research Square(2020)10.21203/rs.3.rs-49621/v1
N/A
0DataRank · unranked
1 citations

Yue Wu, Juanjuan Jiang, Jiehui Jiang, Ying Han, Taoran Li

Use of Deep-Learning Genomics to Discriminate Healthy Individuals from Those with Alzheimer’s Disease or Mild Cognitive Impairment

Behavioural Neurology(2021)10.1155/2021/3359103
N/A
0DataRank · unranked
18 citations

Yeying Yang, Qi Zhang, Jiao Wang, Jiehui Jiang, Alzheimer’s Disease Neuroimaging Initiative +1 more

Parametric Estimation of Reference Signal Intensity for Semi-Quantification of Tau Deposition: A Flortaucipir and [18F]-APN-1607 Study

Frontiers in Neuroscience(2021)10.3389/fnins.2021.598234
N/A
0DataRank · unranked
14 citations

Min Wang, Jiaying Lu, Weiqi Bao, Ling Li, Jiehui Jiang +3 more

Exploring the Pattern Associated With Longitudinal Changes of β-Amyloid Deposition During Cognitively Normal Healthy Aging

Frontiers in Medicine(2021)10.3389/fmed.2020.617173
N/A
0DataRank · unranked
13 citations

Qin Yang, Chunhua Liu, Qi Zhang, Jiehui Jiang, Ying Han +2 more

Generative adversarial network constrained multiple loss autoencoder: A deep learning‐based individual atrophy detection for Alzheimer's disease and mild cognitive impairment

Human Brain Mapping(2022)10.1002/hbm.26146
N/A
0DataRank · unranked
37 citations

Can Sheng, Shichen Jin, Qi Zhang, Shuoyan Zhang, Liang Zhang +6 more