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

Nan Mu

Kyushu University

ORCID: 0000-0003-0476-7500

Also affiliated with DigitalSpace (United States), Sichuan Normal University

Computer ScienceNeuroscienceMedicine

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.

Predicting Amyloid-β Positivity in Alzheimer’s Disease: Comprehensive Analysis of Feature Selection and Machine Learning Models for Accurate Identification

International Journal of Online and Biomedical Engineering (iJOE)(2023)10.3991/ijoe.v19i17.44173
Top 100%
0DataRank
Top 100%0 citations

Na Gao, Mengru Xu, Mostafa Rezaeitalesh, Nan Mu, Zonghan Lyu +4 more

Papers

Driven by 12 papers — median percentile 0. Top paper: “Progressive global perception and local polishing network for lung infection segmentation of COVID-19 CT images”.

Progressive global perception and local polishing network for lung infection segmentation of COVID-19 CT images

Pattern Recognition(2021)10.1016/j.patcog.2021.108168
N/A
0DataRank · unranked
61 citations

Hongyu Wang, Yu Zhang, Jingfeng Jiang, Jinshan Tang, Nan Mu

An attention residual u-net with differential preprocessing and geometric postprocessing: Learning how to segment vasculature including intracranial aneurysms

Medical Image Analysis(2022)10.1016/j.media.2022.102697
N/A
0DataRank · unranked
93 citations

Zonghan Lyu, Mostafa Rezaeitaleshmahalleh, Jinshan Tang, Jingfeng Jiang, Nan Mu

Characterization of small abdominal aortic aneurysms' growth status using spatial pattern analysis of aneurismal hemodynamics

Scientific Reports(2023)10.1038/s41598-023-40139-z
N/A
0DataRank · unranked
28 citations

Zonghan Lyu, Nan Mu, Xiaoming Zhang, Todd E. Rasmussen, Robert D. McBane +2 more

Radiomic-based Textural Analysis of Intraluminal Thrombus in Aortic Abdominal Aneurysms: A Demonstration of Automated Workflow

Journal of Cardiovascular Translational Research(2023)10.1007/s12265-023-10404-7
N/A
0DataRank · unranked
27 citations

Nan Mu, Zonghan Lyu, Weihua Zhou, Xiaoming Zhang, Todd E. Rasmussen +3 more

Automatic segmentation of abdominal aortic aneurysms from CT angiography using a context-aware cascaded U-Net

Computers in Biology and Medicine(2023)10.1016/j.compbiomed.2023.106569
N/A
0DataRank · unranked
28 citations

Zonghan Lyu, Mostafa Rezaeitaleshmahalleh, Xiaoming Zhang, Todd E. Rasmussen, Robert D. McBane +2 more

Exploring a frequency-domain attention-guided cascade U-Net: Towards spatially tunable segmentation of vasculature

Computers in Biology and Medicine(2023)10.1016/j.compbiomed.2023.107648
N/A
0DataRank · unranked
14 citations

Zonghan Lyu, Xiaoming Zhang, Robert D. McBane, Aditya S. Pandey, Jingfeng Jiang +1 more

USING CONVOLUTIONAL NEURAL NETWORK-BASED SEGMENTATION FOR IMAGE-BASED COMPUTATIONAL FLUID DYNAMICS SIMULATIONS OF BRAIN ANEURYSMS: INITIAL EXPERIENCE IN AUTOMATED MODEL CREATION

Journal of Mechanics in Medicine and Biology(2023)10.1142/s0219519423400559
N/A
0DataRank · unranked
12 citations

Zonghan Lyu, Nan Mu, Jingfeng Jiang, Mostafa Rezaeitaleshmahalleh

S-Net: a multiple cross aggregation convolutional architecture for automatic segmentation of small/thin structures for cardiovascular applications

Frontiers in Physiology(2023)10.3389/fphys.2023.1209659
N/A
0DataRank · unranked
5 citations

Zonghan Lyu, Mostafa Rezaeitaleshmahalleh, Cassie Bonifas, Jordan Gosnell, Marcus P. Haw +3 more

Predicting Amyloid-β Positivity in Alzheimer’s Disease: Comprehensive Analysis of Feature Selection and Machine Learning Models for Accurate Identification

International Journal of Online and Biomedical Engineering (iJOE)(2023)10.3991/ijoe.v19i17.44173
Top 100%
0DataRank
Top 100%0 citations

Na Gao, Mengru Xu, Mostafa Rezaeitalesh, Nan Mu, Zonghan Lyu +4 more

Computational Hemodynamics-Based Growth Prediction for Small Abdominal Aortic Aneurysms: Laminar Simulations Versus Large Eddy Simulations

Annals of Biomedical Engineering(2024)10.1007/s10439-024-03572-3
N/A
0DataRank · unranked
9 citations

Zonghan Lyu, Nan Mu, Min Wang, Xiaoming Zhang, Todd E. Rasmussen +3 more

Developing a nearly automated open-source pipeline for conducting computational fluid dynamics simulations in anterior brain vasculature: a feasibility study

Scientific Reports(2024)10.1038/s41598-024-80891-4
N/A
0DataRank · unranked
4 citations

Nan Mu, Zonghan Lyu, Joseph J. Gemmete, Aditya S. Pandey, Jingfeng Jiang +1 more

Improving Prediction of Intracranial Aneurysm Rupture Status Using Temporal Velocity-Informatics

Annals of Biomedical Engineering(2025)10.1007/s10439-025-03686-2
N/A
0DataRank · unranked
7 citations

Z. Lyu, Nan Mu, Varatharajan Nainamalai, Jinshan Tang, Joseph J. Gemmete +3 more