Lili Ju

7.2k total citations · 1 hit paper
172 papers, 4.9k citations indexed

About

Lili Ju is a scholar working on Computational Mechanics, Numerical Analysis and Computer Vision and Pattern Recognition. According to data from OpenAlex, Lili Ju has authored 172 papers receiving a total of 4.9k indexed citations (citations by other indexed papers that have themselves been cited), including 68 papers in Computational Mechanics, 46 papers in Numerical Analysis and 32 papers in Computer Vision and Pattern Recognition. Recurrent topics in Lili Ju's work include Advanced Numerical Methods in Computational Mathematics (46 papers), Differential Equations and Numerical Methods (30 papers) and Solidification and crystal growth phenomena (29 papers). Lili Ju is often cited by papers focused on Advanced Numerical Methods in Computational Mathematics (46 papers), Differential Equations and Numerical Methods (30 papers) and Solidification and crystal growth phenomena (29 papers). Lili Ju collaborates with scholars based in United States, China and Hong Kong. Lili Ju's 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 and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Geophysical Research Atmospheres and Nano Letters.

In The Last Decade

Lili Ju

160 papers receiving 4.7k citations

Hit Papers

align trajectories

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.

Maximum Bound Principles for a Class of Semilinear Parabolic Equations and Exponential Time-Differencing Schemes

2021 171 citations Qiang Du, Lili Ju et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Lili Ju United States	39	1.7k	1.1k	1.1k	923	606	172	4.9k
Qiang Du United States	58	4.9k 2.9×	2.2k 2.0×	2.4k 2.3×	793 0.9×	2.2k 3.7×	351	13.3k
Dirk Roose Belgium	40	806 0.5×	595 0.5×	358 0.3×	451 0.5×	582 1.0×	237	5.2k
Jean Charles Gilbert France	19	893 0.5×	1.2k 1.1×	118 0.1×	404 0.4×	1.0k 1.7×	54	4.7k
Lu Lu United States	30	1.3k 0.8×	131 0.1×	601 0.6×	301 0.3×	218 0.4×	93	7.4k
Hongkai Zhao United States	31	1.9k 1.1×	360 0.3×	203 0.2×	579 0.6×	306 0.5×	87	4.5k
Héctor Gómez United States	34	2.1k 1.3×	293 0.3×	858 0.8×	54 0.1×	605 1.0×	137	4.4k
Sigurd Angenent United States	33	682 0.4×	216 0.2×	170 0.2×	514 0.6×	897 1.5×	69	4.0k
Andrew M. Stuart United Kingdom	49	1.7k 1.0×	1.2k 1.1×	565 0.5×	241 0.3×	1.4k 2.3×	208	9.7k
Myungjoo Kang South Korea	25	2.6k 1.5×	192 0.2×	373 0.4×	719 0.8×	242 0.4×	99	4.3k
Carlo Cattani Italy	47	254 0.2×	1.7k 1.5×	245 0.2×	640 0.7×	232 0.4×	316	6.9k

Countries citing papers authored by Lili Ju

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Lili Ju

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Ju, Lili, et al.. (2025). Dynamically Regularized Lagrange Multiplier Method for the Cahn‐Hilliard‐Navier‐Stokes System. International Journal for Numerical Methods in Engineering. 126(13).

Ju, Lili, et al.. (2025). An end-to-end deep learning method for solving nonlocal Allen–Cahn and Cahn–Hilliard phase-field models. Computer Methods in Applied Mechanics and Engineering. 436. 117721–117721. 2 indexed citations

Ju, Lili, et al.. (2024). Dynamically regularized Lagrange multiplier schemes with energy dissipation for the incompressible Navier-Stokes equations. Journal of Computational Physics. 521. 113550–113550. 1 indexed citations

Liu, Chenguang, Jie Sun, Hao Tian, Wai Sun Don, & Lili Ju. (2024). A high-order multi-time-step scheme for bond-based peridynamics. Journal of Computational and Applied Mathematics. 449. 115968–115968. 1 indexed citations

Ju, Lili, et al.. (2024). Gradient preserving Operator Inference: Data-driven reduced-order models for equations with gradient structure. Computer Methods in Applied Mechanics and Engineering. 427. 117033–117033. 4 indexed citations

Huang, Jianguo, et al.. (2024). A parareal exponential integrator finite element method for semilinear parabolic equations. Numerical Methods for Partial Differential Equations. 40(6).

Ju, Lili, et al.. (2024). Energy-Dissipative Spectral Renormalization Exponential Integrator Method for Gradient Flow Problems. SIAM Journal on Scientific Computing. 46(6). A3477–A3502. 1 indexed citations

Ju, Lili, et al.. (2023). Experimental study of sandstone stress sensitivity under different fluids: Characteristics and mechanisms. Geoenergy Science and Engineering. 223. 211537–211537. 9 indexed citations

Gunzburger, Max, et al.. (2023). Multifidelity Monte Carlo estimation for efficient uncertainty quantification in climate-related modeling. Geoscientific model development. 16(4). 1213–1229. 6 indexed citations

10.

Wang, Zhu, et al.. (2023). A deep learning method for the dynamics of classic and conservative Allen-Cahn equations based on fully-discrete operators. Journal of Computational Physics. 496. 112589–112589. 9 indexed citations

11.

Ju, Lili, et al.. (2023). Fully discrete error analysis of first‐order low regularity integrators for the Allen‐Cahn equation. Numerical Methods for Partial Differential Equations. 39(5). 3594–3608. 1 indexed citations

12.

Huang, Jianguo, et al.. (2023). Efficient Exponential Integrator Finite Element Method for Semilinear Parabolic Equations. SIAM Journal on Scientific Computing. 45(4). A1545–A1570. 4 indexed citations

13.

Li, Jingwei, et al.. (2023). Second-Order Semi-Lagrangian Exponential Time Differencing Method with Enhanced Error Estimate for the Convective Allen–Cahn Equation. Journal of Scientific Computing. 97(1). 3 indexed citations

14.

Xie, Jun, Xuemei Wang, Lili Ju, et al.. (2023). IQ domain-containing protein ZmIQD27 modulates water transport in maize. PLANT PHYSIOLOGY. 193(3). 1834–1848. 2 indexed citations

15.

Gunzburger, Max, et al.. (2022). Energetically consistent model reduction for metriplectic systems. Computer Methods in Applied Mechanics and Engineering. 404. 115709–115709. 6 indexed citations

16.

Zhang, Xiaoping, et al.. (2022). GW-PINN: A deep learning algorithm for solving groundwater flow equations. Advances in Water Resources. 165. 104243–104243. 50 indexed citations

17.

Ju, Lili, et al.. (2022). Generalized SAV-Exponential Integrator Schemes for Allen--Cahn Type Gradient Flows. SIAM Journal on Numerical Analysis. 60(4). 1905–1931. 57 indexed citations

18.

Li, Jingwei, Lili Ju, Yongyong Cai, & Xinlong Feng. (2021). Unconditionally Maximum Bound Principle Preserving Linear Schemes for the Conservative Allen–Cahn Equation with Nonlocal Constraint. Journal of Scientific Computing. 87(3). 26 indexed citations

19.

Jiang, Kun, Lili Ju, Jingwei Li, & Xiao Li. (2021). Unconditionally stable exponential time differencing schemes for the mass‐conserving Allen–Cahn equation with nonlocal and local effects. Numerical Methods for Partial Differential Equations. 38(6). 1636–1657. 18 indexed citations

20.

Du, Qiang, et al.. (2005). Centroidal Voronoi Tessellation Algorithms for Image Processing. Acta Biotheoretica. 46(2). 161–6. 1 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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