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

Mingrui Yang

Cleveland Clinic

ORCID: 0000-0002-8902-6316

Also affiliated with Cleveland Clinic Lerner College of Medicine, Numerical Method (China)

MedicineEngineering

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 1%percentile
6.2Author DataRank

Indexed papers

3in 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 3 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.

The International Workshop on Osteoarthritis Imaging Knee MRI Segmentation Challenge: A Multi-Institute Evaluation and Analysis Framework on a Standardized Dataset

Research at the University of Copenhagen (University of Copenhagen)(2021)10.1148/ryai.2021200078
Top 6%
3.6DataRank
Top 6%78 citations

Francesco Calivá, Claudia Iriondo, Aliasghar Mortazi, Sachin Jambawalikar, Ulaş Bağcı +25 more

Papers

Driven by 9 papers — median percentile 91. Top paper: “The International Workshop on Osteoarthritis Imaging Knee MRI Segmentation Challenge: A Multi-Institute Evaluation and Analysis Framework on a Standardized Dataset”.

The International Workshop on Osteoarthritis Imaging Knee MRI Segmentation Challenge: A Multi-Institute Evaluation and Analysis Framework on a Standardized Dataset

Research at the University of Copenhagen (University of Copenhagen)(2021)10.1148/ryai.2021200078
Top 6%
3.6DataRank
Top 6%78 citations

Francesco Calivá, Claudia Iriondo, Aliasghar Mortazi, Sachin Jambawalikar, Ulaş Bağcı +25 more

The KNee OsteoArthritis Prediction (KNOAP2020) challenge: An image analysis challenge to predict incident symptomatic radiographic knee osteoarthritis from MRI and X-ray images

Osteoarthritis and Cartilage(2022)10.1016/j.joca.2022.10.001
Top 9%
2.3DataRank
Top 9%60 citations

J. Runhaar, Rianne A. van der Heijden, Maryam Zokaeinikoo, Mingrui Yang, X. Li +27 more

Towards automatic cartilage quantification in clinical trials – Continuing from the 2019 IWOAI knee segmentation challenge

Osteoarthritis Imaging(2023)10.1016/j.ostima.2023.100087
Top 48%
0.370DataRank
Top 48%7 citations

Arjun Desai, Cem M. Deniz, Haresh Rengaraj Rajamohan, Ravinder R. Regatte, Claudia Iriondo +17 more

Deep learning‐based automatic pipeline for quantitative assessment of thigh muscle morphology and fatty infiltration

Magnetic Resonance in Medicine(2023)10.1002/mrm.29599
N/A
0DataRank · unranked
16 citations

Brendan Eck, Dongxing Xie, Richard Lartey, Charlotte Lo, William Zaylor +6 more

Differences in Systemic Pulse Waveform Between Individuals With Glaucoma, Glaucoma Suspects, and Healthy Controls

Investigative Ophthalmology & Visual Science(2024)10.1167/iovs.65.8.20
N/A
0DataRank · unranked
2 citations

Grant Cull, Mingrui Yang, Lin Wang, Brad Fortune, Stuart K. Gardiner +1 more

Prediction of local fixed charge density loss in cartilage following ACL injury and reconstruction: A computational proof‐of‐concept study with MRI follow‐up

Journal of Orthopaedic Research®(2020)10.1002/jor.24797
N/A
0DataRank · unranked
43 citations

Paul O. Bolcos, Ali Mohammadi, Matthew S. Tanaka, Mingrui Yang, Thomas M. Link +5 more

Automated 3D segmentation of rotator cuff muscle and fat from longitudinal CT for shoulder arthroplasty evaluation

Skeletal Radiology(2025)10.1007/s00256-025-04991-6
N/A
0DataRank · unranked
1 citations

Bong Jae Jun, Tammy M. Owings, Nikhil Subhas, Joshua M. Polster, Carl S. Winalski +6 more

Diagnostic interchangeability of deep convolutional neural networks reconstructed knee MR images: preliminary experience

Quantitative Imaging in Medicine and Surgery(2020)10.21037/qims-20-664
N/A
0DataRank · unranked
27 citations

Hongyu Li, Mingrui Yang, Carl S. Winalski, Joshua M. Polster, Nancy A. Obuchowski +10 more

SuperMAP: Deep ultrafast MR relaxometry with joint spatiotemporal undersampling

Magnetic Resonance in Medicine(2022)10.1002/mrm.29411
N/A
0DataRank · unranked
28 citations

Mingrui Yang, J. Kim, Chaoyi Zhang, Ruiying Liu, Peizhou Huang +5 more