Lu Lu
Impact in
- Statistical and Nonlinear Physics top 0.1%
- Model Reduction and Neural Networks
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- Probabilistic and Robust Engineering Design
Papers in
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- Model Reduction and Neural Networks 28
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- Neural Networks and Applications 8
- Co-authors
- George Em Karniadakis (23 shared papers)Paris Perdikaris (3 shared papers)Sifan Wang (3 shared papers)Liu Yang (1 shared paper)Ioannis G. Kevrekidis (1 shared paper)Min Zhu (8 shared papers)Xuhui Meng (1 shared paper)Dongkun Zhang (1 shared paper)
- Journals
- Computer Methods in Applied Mechanics and Engineering (6 papers)Journal of Computational Physics (5 papers)Biophysical Journal (4 papers)Cell stem cell (2 papers)SIAM Journal on Scientific Computing (2 papers)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Lu Lu
89 papers receiving 8.1k citations
Lu Lu's Hit Papers
Peers
Comparison fields: 5 of 191
- Statistical and Nonlinear Physics 3.5k
- Statistics, Probability and Uncertainty 595
- Computational Mechanics 1.3k
- Artificial Intelligence 1.3k
- Aerospace Engineering 788
Countries citing papers authored by Lu Lu
This map shows the geographic impact of Lu Lu'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 Lu Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lu Lu more than expected).
Fields of papers citing papers by Lu Lu
This network shows the impact of papers produced by Lu Lu. 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 Lu Lu. The network helps show where Lu Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Lu Lu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 98 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Physics-informed machine learning Hit paper breakdown → | 2021 | 4264 |
| 2 | Gradient-enhanced physics-informed neural networks for forward and inverse PDE problems Hit paper breakdown → | 2022 | 433 |
| 3 | A comprehensive study of non-adaptive and residual-based adaptive sampling for physics-informed neural networks Hit paper breakdown → | 2022 | 377 |
| 4 | Quantifying total uncertainty in physics-informed neural networks for solving forward and inverse stochastic problems Hit paper breakdown → | 2019 | 342 |
| 5 | A comprehensive and fair comparison of two neural operators (with practical extensions) based on FAIR data Hit paper breakdown → | 2021 | 330 |
| 6 | Extraction of mechanical properties of materials through deep learning from instrumented indentation Hit paper breakdown → | 2020 | 254 |
| 7 | 2020 | 208 | |
| 8 | 2021 | 158 | |
| 9 | MIONet: Learning Multiple-Input Operators via Tensor Product Hit paper breakdown → | 2022 | 130 |
| 10 | 2021 | 123 | |
| 11 | 2022 | 111 | |
| 12 | 2021 | 109 | |
| 13 | 2018 | 108 | |
| 14 | 2021 | 96 | |
| 15 | Reliable extrapolation of deep neural operators informed by physics or sparse observations Hit paper breakdown → | 2023 | 85 |
| 16 | 2023 | 66 | |
| 17 | 2003 | 64 | |
| 18 | 2022 | 57 | |
| 19 | 2023 | 56 | |
| 20 | 2022 | 55 |
About Lu Lu
Lu Lu is a scholar working on Statistical and Nonlinear Physics, Artificial Intelligence, Electrical and Electronic Engineering, Computational Mechanics and Physiology, having authored 98 papers that have together received 8.3k indexed citations. Recurring topics across this work include Model Reduction and Neural Networks (28 papers), Erythrocyte Function and Pathophysiology (9 papers), Blood properties and coagulation (9 papers), Electrocatalysts for Energy Conversion (8 papers), Neural Networks and Applications (8 papers), Fuel Cells and Related Materials (8 papers), Probabilistic and Robust Engineering Design (7 papers) and Fluid Dynamics and Turbulent Flows (7 papers). The work is most often cited by research in Statistical and Nonlinear Physics (3.5k citations), Statistics, Probability and Uncertainty (595 citations), Computational Mechanics (1.3k citations), Artificial Intelligence (1.3k citations) and Aerospace Engineering (788 citations). Lu Lu has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include George Em Karniadakis, Paris Perdikaris, Sifan Wang, Liu Yang, Ioannis G. Kevrekidis, Min Zhu, Xuhui Meng, Dongkun Zhang, Ling Guo and Chenxi Wu. Their work appears in journals such as Computer Methods in Applied Mechanics and Engineering, Journal of Computational Physics, Biophysical Journal, Cell stem cell and SIAM Journal on Scientific Computing.
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.