Mingrui Yang

1.2k citations
47 papers · 787 · h-index 18

Impact in

Papers in

Mingrui Yang

42 papers receiving 777 citations

Peers

Mingrui Yang
Comparison fields: 5 of 108
  • Rheumatology 139
  • Computer Vision and Pattern Recognition 160
  • Signal Processing 79
  • Rehabilitation 40
  • Acoustics and Ultrasonics 5
Replace Susana K. Lai-Yuen with:
Susana K. Lai-Yuen United States
Xinglong Liu China
Philippe Delachartre France
Tomasz Woloszynski Australia
P. S. Hiremath India
Francesco Calivá United States
Jiakai Wang China
Zhijun Cai United States
Jianming Wang China
Zedong Nie China
Mingrui Yang relative to Susana K. Lai-Yuen United States Susana K. Lai-Yuen's profile →
Citations per field
00.5×10×15.8×
Susana K. Lai-Yuen · 1×
Citations per year

Countries citing papers authored by Mingrui Yang

Since Specialization
Citations

This map shows the geographic impact of Mingrui Yang's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Mingrui Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mingrui Yang more than expected).

Fields of papers citing papers by Mingrui Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mingrui Yang. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Mingrui Yang. The network helps show where Mingrui Yang may publish in the future.

Co-authors

The 25 scholars most cited alongside Mingrui Yang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mingrui Yang Line = papers co-authored together Mingrui Yang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202388
2 201983
3 201565
4 201752
5 201245
6 201543
7 201529
8 202028
9 201428
10 201427
11 202226
12 201925
13 201325
14 202223
15 202022
16 201222
17 201919
18 202218
19 201616
20 202113

About Mingrui Yang

Mingrui Yang is a scholar working on Computational Mechanics, Electrical and Electronic Engineering, Biomedical Engineering, Computer Vision and Pattern Recognition and Surgery, having authored 47 papers that have together received 787 indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (12 papers), Indoor and Outdoor Localization Technologies (10 papers), Osteoarthritis Treatment and Mechanisms (8 papers), Knee injuries and reconstruction techniques (5 papers), Lower Extremity Biomechanics and Pathologies (5 papers), Total Knee Arthroplasty Outcomes (5 papers), Speech and Audio Processing (5 papers) and Advanced MRI Techniques and Applications (3 papers). The work is most often cited by research in Rheumatology (139 citations), Computer Vision and Pattern Recognition (160 citations), Signal Processing (79 citations), Rehabilitation (40 citations) and Acoustics and Ultrasonics (5 citations). Mingrui Yang has collaborated with scholars based in United States, Australia and China. Frequent co-authors include Wen Hu, Chun Tung Chou, Bo Wei, Xiaojuan Li, Yan Wang, Zheng Zhao, Yiran Shen, Frank de Hoog, Sibaji Gaj and Kunio Nakamura. Their work appears in journals such as Magnetic Resonance in Medicine, IEEE Transactions on Mobile Computing, Osteoarthritis and Cartilage, Journal of Orthopaedic Research® and Cartilage.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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