Mingrui Yang

1.2k total citations
47 papers, 787 citations indexed

About

Mingrui Yang is a scholar working on Computational Mechanics, Electrical and Electronic Engineering and Biomedical Engineering. According to data from OpenAlex, Mingrui Yang has authored 47 papers receiving a total of 787 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computational Mechanics, 11 papers in Electrical and Electronic Engineering and 10 papers in Biomedical Engineering. Recurrent topics in Mingrui Yang's work include Sparse and Compressive Sensing Techniques (12 papers), Indoor and Outdoor Localization Technologies (10 papers) and Osteoarthritis Treatment and Mechanisms (8 papers). Mingrui Yang is often cited by papers focused on Sparse and Compressive Sensing Techniques (12 papers), Indoor and Outdoor Localization Technologies (10 papers) and Osteoarthritis Treatment and Mechanisms (8 papers). Mingrui Yang collaborates with scholars based in United States, Australia and China. Mingrui Yang's co-authors include Wen Hu, Chun Tung Chou, Bo Wei, Xiaojuan Li, Yan Wang, Zheng Zhao, Yiran Shen, Sibaji Gaj, Frank de Hoog and Kunio Nakamura and has published in prestigious journals such as IEEE Transactions on Signal Processing, Carbohydrate Polymers and The American Journal of Sports Medicine.

In The Last Decade

Mingrui Yang

42 papers receiving 777 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Mingrui Yang United States 18 203 172 160 139 134 47 787
Susana K. Lai-Yuen United States 13 88 0.4× 98 0.6× 214 1.3× 44 0.3× 53 0.4× 43 759
Sheheryar Khan Hong Kong 13 69 0.3× 88 0.5× 110 0.7× 17 0.1× 12 0.1× 50 559
Zhijun Cai United States 13 72 0.4× 137 0.8× 46 0.3× 18 0.1× 33 0.2× 58 822
Pengzhi Li China 11 46 0.2× 127 0.7× 50 0.3× 17 0.1× 73 0.5× 23 524
Tomasz Woloszynski Australia 12 71 0.3× 16 0.1× 79 0.5× 103 0.7× 39 0.3× 23 641
Asif Mehmood South Korea 16 163 0.8× 140 0.8× 166 1.0× 3 0.0× 23 0.2× 92 782
Zedong Nie China 19 604 3.0× 358 2.1× 55 0.3× 19 0.1× 24 0.2× 79 1.1k
Philippe Delachartre France 14 407 2.0× 46 0.3× 132 0.8× 8 0.1× 88 0.7× 66 831
Xuejun Zhang China 12 119 0.6× 73 0.4× 217 1.4× 4 0.0× 26 0.2× 95 567
P. S. Hiremath India 20 577 2.8× 8 0.0× 395 2.5× 41 0.3× 13 0.1× 105 1.3k

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-authorship network of co-authors of Mingrui Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Mingrui Yang. A scholar is included among the top collaborators of Mingrui Yang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mingrui Yang. Mingrui Yang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Wang, Xinxin, et al.. (2025). CalDiff: Calibrating Uncertainty and Accessing Reliability of Diffusion Models for Trustworthy Lesion Segmentation. IEEE Journal of Biomedical and Health Informatics. 30(2). 1555–1567.
2.
Hu, Peng, Jun‐Jie Zeng, Yuxiao Xue, et al.. (2025). Phase-transition mechanism of vanadium titanomagnetite sintering with varing TiO2 ratio from 2.00 wt% to 6.00 wt%. Journal of Materials Research and Technology. 36. 6522–6533.
3.
Yang, Mingrui, et al.. (2025). Artificial intelligence in central-peripheral interaction organ crosstalk: the future of drug discovery and clinical trials. Pharmacological Research. 215. 107734–107734. 2 indexed citations
4.
Peng, Fei, Linlin Liang, Mingrui Yang, et al.. (2025). Assessment of the distribution of pancreatic iron deposition in non-transfusion dependent thalassemia. Abdominal Radiology. 51(1). 118–126. 1 indexed citations
5.
6.
Li, Xiaojuan, Mingrui Yang, Štefan Zbýň, et al.. (2024). Cartilage compositional MRI—a narrative review of technical development and clinical applications over the past three decades. Skeletal Radiology. 53(9). 1761–1781. 5 indexed citations
7.
Guo, Weihong, et al.. (2024). Assembling a Learnable Mumford–Shah Type Model with Multigrid Technique for Image Segmentation. SIAM Journal on Imaging Sciences. 17(2). 1007–1039. 2 indexed citations
8.
Yang, Mingrui, et al.. (2024). Facile Solvent-Free Fabrication of All-Small-Molecule Supramolecular Photothermal Bioadhesive for Sutureless Wound Closure. ACS Biomaterials Science & Engineering. 10(6). 3935–3945. 4 indexed citations
9.
Yang, Mingrui, et al.. (2024). Fuzzy Pricing of European Options Based on Constant Elasticity of Variance Process. 1(2). 199–205. 1 indexed citations
10.
Wang, Yan, Mingrui Yang, & Zheng Zhao. (2023). Facile fabrication of self-healing, injectable and antimicrobial cationic guar gum hydrogel dressings driven by hydrogen bonds. Carbohydrate Polymers. 310. 120723–120723. 88 indexed citations
11.
Gaj, Sibaji, Brendan Eck, Mingrui Yang, et al.. (2023). Deep learning‐based automatic pipeline for quantitative assessment of thigh muscle morphology and fatty infiltration. Magnetic Resonance in Medicine. 89(6). 2441–2455. 10 indexed citations
12.
Yang, Mingrui, Sibaji Gaj, Morgan H. Jones, et al.. (2022). Automated knee cartilage segmentation for heterogeneous clinical MRI using generative adversarial networks with transfer learning. Quantitative Imaging in Medicine and Surgery. 12(5). 2620–2633. 23 indexed citations
13.
Elias, John J., et al.. (2022). Elevated Patellofemoral and Tibiofemoral T1ρ Relaxation Times Following a First Time Patellar Dislocation. Cartilage. 13(2). 3506216938–3506216938. 4 indexed citations
14.
Orozco, Gustavo A., Matthew S. Tanaka, Mingrui Yang, et al.. (2021). Shear strain and inflammation‐induced fixed charge density loss in the knee joint cartilage following ACL injury and reconstruction: A computational study. Journal of Orthopaedic Research®. 40(7). 1505–1522. 13 indexed citations
15.
Orozco, Gustavo A., Ali Mohammadi, Matthew S. Tanaka, et al.. (2020). 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®. 39(5). 1064–1081. 28 indexed citations
16.
Yang, Mingrui, et al.. (2020). 3D patella and femur bone shape modeling for patella instability patients. Osteoarthritis and Cartilage. 28. S279–S280. 1 indexed citations
17.
Elias, John J., et al.. (2019). Anatomical characteristics of recurrent patellar instability. Osteoarthritis and Cartilage. 27. S363–S364.
18.
Mononen, Mika E., Matthew S. Tanaka, Mingrui Yang, et al.. (2019). Identification of locations susceptible to osteoarthritis in patients with anterior cruciate ligament reconstruction: Combining knee joint computational modelling with follow-up T1ρ and T2 imaging. Clinical Biomechanics. 79. 104844–104844. 19 indexed citations
19.
Wei, Bo, Wen Hu, Mingrui Yang, & Chun Tung Chou. (2019). From Real to Complex. ACM Transactions on Sensor Networks. 15(3). 1–32. 25 indexed citations
20.
Temlyakov, Vladimir, et al.. (2011). Lebesgue-type inequalities for greedy approximation with respect to quasi-greedy bases. East journal on approximations. 17(2). 203–214. 11 indexed citations

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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