Minglang Yin

2.6k total citations · 2 hit papers
14 papers, 1.6k citations indexed

About

Minglang Yin is a scholar working on Statistical and Nonlinear Physics, Computational Mechanics and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Minglang Yin has authored 14 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Statistical and Nonlinear Physics, 5 papers in Computational Mechanics and 4 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Minglang Yin's work include Model Reduction and Neural Networks (10 papers), Fluid Dynamics and Turbulent Flows (4 papers) and Elasticity and Material Modeling (2 papers). Minglang Yin is often cited by papers focused on Model Reduction and Neural Networks (10 papers), Fluid Dynamics and Turbulent Flows (4 papers) and Elasticity and Material Modeling (2 papers). Minglang Yin collaborates with scholars based in United States and China. Minglang Yin's co-authors include George Em Karniadakis, Zhicheng Wang, Zhiping Mao, Shengze Cai, Somdatta Goswami, Yue Yu, Jay D. Humphrey, Xiaoning Zheng, Enrui Zhang and Yue Yu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Computer Methods in Applied Mechanics and Engineering and Journal of the Mechanics and Physics of Solids.

In The Last Decade

Minglang Yin

14 papers receiving 1.6k citations

Hit Papers

Physics-informed neural networks (PINNs) for fluid mechan... 2021 2026 2022 2024 2021 2022 250 500 750 1000
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Physics-informed neural networks (PINNs) for fluid mechanics: a review
    2021 1.0k citations Shengze Cai, Zhiping Mao et al. Acta Mechanica Sinica profile →
  2. A physics-informed variational DeepONet for predicting crack path in quasi-brittle materials
    2022 249 citations Somdatta Goswami, Minglang Yin et al. Computer Methods in Applied Mechanics and Engineering profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Minglang Yin United States 9 947 483 262 246 232 14 1.6k
Zhicheng Wang China 9 1.1k 1.1× 533 1.1× 318 1.2× 300 1.2× 301 1.3× 25 2.0k
Ehsan Kharazmi United States 10 1.0k 1.1× 461 1.0× 203 0.8× 210 0.9× 153 0.7× 15 1.4k
Han Gao United States 6 884 0.9× 479 1.0× 221 0.8× 181 0.7× 206 0.9× 6 1.3k
Dunhui Xiao China 29 1.1k 1.2× 773 1.6× 338 1.3× 147 0.6× 202 0.9× 68 2.2k
Zhiping Mao United States 18 1.6k 1.7× 927 1.9× 436 1.7× 354 1.4× 306 1.3× 37 3.1k
Yinhao Zhu United States 8 591 0.6× 299 0.6× 109 0.4× 207 0.8× 197 0.8× 17 1.4k
Ehsan Haghighat United States 19 1.0k 1.1× 400 0.8× 208 0.8× 226 0.9× 426 1.8× 41 2.1k
Yibo Yang United States 11 646 0.7× 280 0.6× 145 0.6× 217 0.9× 97 0.4× 23 1.2k
Tan Bui–Thanh United States 20 965 1.0× 806 1.7× 197 0.8× 239 1.0× 166 0.7× 58 2.0k
Xuhui Meng China 18 1.7k 1.8× 862 1.8× 462 1.8× 506 2.1× 315 1.4× 35 2.8k

Countries citing papers authored by Minglang Yin

Since Specialization
Citations

This map shows the geographic impact of Minglang Yin'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 Minglang Yin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Minglang Yin more than expected).

Fields of papers citing papers by Minglang Yin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Minglang Yin. 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 Minglang Yin. The network helps show where Minglang Yin may publish in the future.

Co-authorship network of co-authors of Minglang Yin

This figure shows the co-authorship network connecting the top 25 collaborators of Minglang Yin. A scholar is included among the top collaborators of Minglang Yin 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 Minglang Yin. Minglang Yin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
1.
Yin, Minglang, Eugene Kholmovski, Dan M. Popescu, et al.. (2025). Multimodal AI to forecast arrhythmic death in hypertrophic cardiomyopathy. Nature Cardiovascular Research. 4(7). 891–903. 5 indexed citations
2.
Yin, Minglang, et al.. (2024). A scalable framework for learning the geometry-dependent solution operators of partial differential equations. Nature Computational Science. 4(12). 928–940. 7 indexed citations
3.
Yin, Minglang, Dan M. Popescu, Dai‐Yin Lu, et al.. (2024). PO-02-095 MAARS-HCM: MULTI-MODAL ARTIFICIAL INTELLIGENCE (AI) FOR VENTRICULAR ARRHYTHMIA (VA) RISK STRATIFICATION IN HYPERTROPHIC CARDIOMYOPATHY (HCM) PATIENTS. Heart Rhythm. 21(5). S300–S300. 1 indexed citations
4.
Yin, Minglang, et al.. (2024). Peripheral arterial pathology and osteoarthritis of the knee: US examination of arterial wall stiffness, thickness, and flow characteristics. SHILAP Revista de lepidopterología. 6(4). 100537–100537. 1 indexed citations
5.
Yin, Minglang, Zongren Zou, Enrui Zhang, et al.. (2023). A generative modeling framework for inferring families of biomechanical constitutive laws in data-sparse regimes. Journal of the Mechanics and Physics of Solids. 181. 105424–105424. 11 indexed citations
6.
Yin, Minglang, Ehsan Ban, Bruno V. Rego, et al.. (2022). Simulating progressive intramural damage leading to aortic dissection using DeepONet: an operator–regression neural network. Journal of The Royal Society Interface. 19(187). 20210670–20210670. 38 indexed citations
7.
Goswami, Somdatta, Minglang Yin, Yue Yu, & George Em Karniadakis. (2022). A physics-informed variational DeepONet for predicting crack path in quasi-brittle materials. Computer Methods in Applied Mechanics and Engineering. 391. 114587–114587. 249 indexed citations breakdown →
8.
Yin, Minglang, Enrui Zhang, Yue Yu, & George Em Karniadakis. (2022). Interfacing finite elements with deep neural operators for fast multiscale modeling of mechanics problems. Computer Methods in Applied Mechanics and Engineering. 402. 115027–115027. 71 indexed citations
9.
Cai, Shengze, Zhiping Mao, Zhicheng Wang, Minglang Yin, & George Em Karniadakis. (2021). Physics-informed neural networks (PINNs) for fluid mechanics: A review. arXiv (Cornell University). 26 indexed citations
10.
Cai, Shengze, Zhiping Mao, Zhicheng Wang, Minglang Yin, & George Em Karniadakis. (2021). Physics-informed neural networks (PINNs) for fluid mechanics: a review. Acta Mechanica Sinica. 37(12). 1727–1738. 1027 indexed citations breakdown →
11.
Yin, Minglang, Xiaoning Zheng, Jay D. Humphrey, & George Em Karniadakis. (2020). Non-invasive inference of thrombus material properties with physics-informed neural networks. Computer Methods in Applied Mechanics and Engineering. 375. 113603–113603. 130 indexed citations
12.
Yin, Minglang, Xiaoning Zheng, Jay D. Humphrey, & George Em Karniadakis. (2020). Non-invasive Inference of Thrombus Material Properties with Physics-informed Neural Networks. arXiv (Cornell University). 2 indexed citations
13.
Yin, Minglang, Alireza Yazdani, & George Em Karniadakis. (2019). One-dimensional modeling of fractional flow reserve in coronary artery disease: Uncertainty quantification and Bayesian optimization. Computer Methods in Applied Mechanics and Engineering. 353. 66–85. 38 indexed citations
14.
Kou, Jiaqing, Weiwei Zhang, & Minglang Yin. (2016). Novel Wiener models with a time-delayed nonlinear block and their identification. Nonlinear Dynamics. 85(4). 2389–2404. 44 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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