Minglang Yin
Impact in
- Statistical and Nonlinear Physics top 0.5%
- Model Reduction and Neural Networks
- Computational Mechanics top 2%
- Fluid Dynamics and Turbulent Flows
- Fluid Dynamics and Vibration Analysis
- Lattice Boltzmann Simulation Studies
Papers in
-
- Model Reduction and Neural Networks 10
-
- Fluid Dynamics and Turbulent Flows 4
- Co-authors
- George Em Karniadakis (10 shared papers)Zhiping Mao (2 shared papers)Zhicheng Wang (2 shared papers)Shengze Cai (2 shared papers)Yue Yu (1 shared paper)Somdatta Goswami (1 shared paper)Jay D. Humphrey (4 shared papers)Xiaoning Zheng (2 shared papers)
- Journals
- Computer Methods in Applied Mechanics and Engineering (4 papers)Heart Rhythm (2 papers)Nature Computational Science (1 paper)JACC. Clinical electrophysiology (1 paper)Journal of The Royal Society Interface (1 paper)
- Partner nations
- United StatesChina
In The Last Decade
Minglang Yin
14 papers receiving 1.8k citations
Minglang Yin's Hit Papers
Peers
Comparison fields: 5 of 99
- Statistical and Nonlinear Physics 1.0k
- Computational Mechanics 501
- Statistics, Probability and Uncertainty 141
- Aerospace Engineering 276
- Mechanics of Materials 211
Countries citing papers authored by Minglang Yin
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
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-authors
The 25 scholars most cited alongside Minglang Yin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Physics-informed neural networks (PINNs) for fluid mechanics: a review Hit paper breakdown → | 2021 | 1156 |
| 2 | A physics-informed variational DeepONet for predicting crack path in quasi-brittle materials Hit paper breakdown → | 2022 | 274 |
| 3 | 2020 | 139 | |
| 4 | 2022 | 77 | |
| 5 | 2016 | 44 | |
| 6 | 2019 | 41 | |
| 7 | 2022 | 40 | |
| 8 | 2021 | 27 | |
| 9 | 2024 | 15 | |
| 10 | 2023 | 12 | |
| 11 | 2025 | 9 | |
| 12 | 2020 | 2 | |
| 13 | 2024 | 1 | |
| 14 | 2024 | 1 | |
| 15 | 2025 | 0 | |
| 16 | 2025 | 0 |
About Minglang Yin
Minglang Yin is a scholar working on Statistical and Nonlinear Physics, Computational Mechanics, Cardiology and Cardiovascular Medicine, Surgery and Mechanics of Materials, having authored 16 papers that have together received 1.8k indexed citations. Recurring topics across this work include Model Reduction and Neural Networks (10 papers), Fluid Dynamics and Turbulent Flows (4 papers), Advanced Mathematical Modeling in Engineering (2 papers), Coronary Interventions and Diagnostics (2 papers), Cardiovascular Function and Risk Factors (2 papers), Elasticity and Material Modeling (2 papers), Cardiomyopathy and Myosin Studies (2 papers) and Nuclear Engineering Thermal-Hydraulics (2 papers). The work is most often cited by research in Statistical and Nonlinear Physics (1.0k citations), Computational Mechanics (501 citations), Statistics, Probability and Uncertainty (141 citations), Aerospace Engineering (276 citations) and Mechanics of Materials (211 citations). Minglang Yin has collaborated with scholars based in United States and China. Frequent co-authors include George Em Karniadakis, Zhiping Mao, Zhicheng Wang, Shengze Cai, Yue Yu, Somdatta Goswami, Jay D. Humphrey, Xiaoning Zheng, Enrui Zhang and Yue Yu. Their work appears in journals such as Computer Methods in Applied Mechanics and Engineering, Heart Rhythm, Nature Computational Science, JACC. Clinical electrophysiology and Journal of The Royal Society Interface.
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.