Lili Ju
- Numerical Analysis top 0.5%
- Differential Equations and Numerical Methods 30
- Numerical methods for differential equations 27
- Computational Mechanics top 0.5%
- Advanced Numerical Methods in Computational Mathematics 46
- Computational Fluid Dynamics and Aerodynamics 16
- Modeling and Simulation top 1%
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- Solidification and crystal growth phenomena 29
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- Advanced Mathematical Modeling in Engineering 21
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- Numerical methods in engineering 18
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- Model Reduction and Neural Networks 11
- Co-authors
- Qiang DuMax GunzburgerZhonghua QiaoXiaofeng YangSong WangMaria EmelianenkoZhenyao WuThomas A. Waldmann
- Journals
- Journal of Computational Physics (21 papers)Computer Methods in Applied Mechanics and Engineering (15 papers)Journal of Scientific Computing (12 papers)
- Partner nations
- United StatesChinaHong Kong
In The Last Decade
Lili Ju
160 papers receiving 4.7k citations
Hit Papers
Peers
Comparison fields: 5 of 149
- Numerical Analysis 1.1k
- Computer Graphics and Computer-Aided Design 315
- Computational Mechanics 1.7k
- Computer Vision and Pattern Recognition 923
- Modeling and Simulation 205
Countries citing papers authored by Lili Ju
This map shows the geographic impact of Lili Ju'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 Lili Ju with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lili Ju more than expected).
Fields of papers citing papers by Lili Ju
This network shows the impact of papers produced by Lili Ju. 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 Lili Ju. The network helps show where Lili Ju may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Lili Ju, 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 | 2025 | 0 | |
| 2 | 2025 | 2 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 4 | |
| 6 | 2024 | 0 | |
| 7 | 2024 | 1 | |
| 8 | 2023 | 9 | |
| 9 | 2023 | 6 | |
| 10 | 2023 | 9 | |
| 11 | 2023 | 1 | |
| 12 | 2023 | 4 | |
| 13 | 2023 | 3 | |
| 14 | 2023 | 2 | |
| 15 | 2022 | 6 | |
| 16 | 2022 | 50 | |
| 17 | 2022 | 57 | |
| 18 | 2021 | 26 | |
| 19 | 2021 | 18 | |
| 20 | 2005 | 1 |
About Lili Ju
Lili Ju is a scholar working on Numerical Analysis, Computer Graphics and Computer-Aided Design and Computational Mechanics, having authored 172 papers that have together received 4.9k indexed citations. Recurring topics across this work include Advanced Numerical Methods in Computational Mathematics (46 papers), Differential Equations and Numerical Methods (30 papers), Solidification and crystal growth phenomena (29 papers), Numerical methods for differential equations (27 papers), Advanced Mathematical Modeling in Engineering (21 papers), Numerical methods in engineering (18 papers), Computational Fluid Dynamics and Aerodynamics (16 papers) and Model Reduction and Neural Networks (11 papers). The work is most often cited by research in Numerical Analysis (1.1k citations), Computer Graphics and Computer-Aided Design (315 citations) and Computational Mechanics (1.7k citations). Lili Ju has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Qiang Du, Max Gunzburger, Zhonghua Qiao, Xiaofeng Yang, Song Wang, Maria Emelianenko, Zhenyao Wu, Thomas A. Waldmann, Xinyi Wu and Meili Zhang. Their work appears in journals such as Journal of Computational Physics, Computer Methods in Applied Mechanics and Engineering, Journal of Scientific Computing, SIAM Journal on Scientific Computing and SIAM Journal on Numerical Analysis.
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.