Ye Lu

8.9k total citations · 4 hit papers
57 papers, 7.1k citations indexed

About

Ye Lu is a scholar working on Mechanics of Materials, Mechanical Engineering and Computational Mechanics. According to data from OpenAlex, Ye Lu has authored 57 papers receiving a total of 7.1k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Mechanics of Materials, 15 papers in Mechanical Engineering and 13 papers in Computational Mechanics. Recurrent topics in Ye Lu's work include Numerical methods in engineering (22 papers), Model Reduction and Neural Networks (12 papers) and Advanced Numerical Methods in Computational Mathematics (9 papers). Ye Lu is often cited by papers focused on Numerical methods in engineering (22 papers), Model Reduction and Neural Networks (12 papers) and Advanced Numerical Methods in Computational Mathematics (9 papers). Ye Lu collaborates with scholars based in United States, China and France. Ye Lu's co-authors include Ted Belytschko, Linxia Gu, Mazen Tabbara, Wing Kam Liu, Anthony Gravouil, Zhengtao Gan, Sourav Saha, Xiaoyu Xie, Jian Cao and Satyajit Mojumder and has published in prestigious journals such as Cancer Research, Biochemical and Biophysical Research Communications and Computer Methods in Applied Mechanics and Engineering.

In The Last Decade

Ye Lu

51 papers receiving 6.7k citations

Hit Papers

Element‐free Galerkin methods 1994 2026 2004 2015 1994 1994 1995 1994 1000 2.0k 3.0k 4.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ye Lu United States 21 6.0k 3.1k 2.8k 914 784 57 7.1k
Jiun‐Shyan Chen United States 36 4.4k 0.7× 2.7k 0.9× 1.7k 0.6× 711 0.8× 567 0.7× 130 5.3k
Chongmin Song Australia 55 7.3k 1.2× 2.6k 0.8× 4.3k 1.5× 1.7k 1.8× 1.1k 1.4× 257 9.8k
C. Armando Duarte United States 37 5.1k 0.9× 2.7k 0.9× 1.6k 0.6× 837 0.9× 669 0.9× 114 5.8k
Yumin Cheng China 52 5.3k 0.9× 2.9k 0.9× 2.5k 0.9× 1.6k 1.7× 374 0.5× 152 6.2k
Gang Liu China 39 4.1k 0.7× 2.4k 0.8× 1.3k 0.4× 1.6k 1.8× 543 0.7× 142 5.7k
Anthony Gravouil France 35 3.7k 0.6× 1.4k 0.5× 1.1k 0.4× 464 0.5× 1.1k 1.4× 125 4.8k
G. R. Liu Singapore 32 3.4k 0.6× 2.2k 0.7× 935 0.3× 782 0.9× 339 0.4× 58 4.3k
Vinh Phu Nguyen Australia 39 5.1k 0.8× 2.4k 0.8× 1.5k 0.5× 314 0.3× 1.1k 1.4× 77 6.1k
Cosmin Anitescu Germany 28 2.4k 0.4× 1.6k 0.5× 1.3k 0.5× 318 0.3× 835 1.1× 62 4.5k
Jens Markus Melenk Austria 25 5.1k 0.8× 3.5k 1.1× 1.2k 0.4× 1.7k 1.9× 449 0.6× 112 6.6k

Countries citing papers authored by Ye Lu

Since Specialization
Citations

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

Fields of papers citing papers by Ye Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ye Lu

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

All Works

20 of 20 papers shown
1.
Lu, Ye, et al.. (2025). Aggressive Infection by K1/ST1265 Klebsiella pneumoniae Leading to Multiple Abscesses: Case Report and Literature Review. Infection and Drug Resistance. Volume 18. 43–49. 1 indexed citations
3.
Lu, Ye, et al.. (2025). Predictive value of NT-pro BNP on outcomes of children with ventricular septal defect surgery. Frontiers in Cardiovascular Medicine. 11. 1454371–1454371.
4.
Guo, Jiachen, Chanwook Park, Hantao Zhang, et al.. (2025). Tensor-decomposition-based A Priori Surrogate (TAPS) modeling for ultra large-scale simulations. Computer Methods in Applied Mechanics and Engineering. 444. 118101–118101. 4 indexed citations
5.
Lu, Ye, et al.. (2024). Convolution tensor decomposition for efficient high-resolution solutions to the Allen–Cahn equation. Computer Methods in Applied Mechanics and Engineering. 433. 117507–117507. 1 indexed citations
6.
Mojumder, Satyajit, Ye Lu, Abdullah Al Amin, et al.. (2024). Statistical parameterized physics-based machine learning digital shadow models for laser powder bed fusion process. Additive manufacturing. 87. 104214–104214. 10 indexed citations
7.
Lu, Ye, Hengyang Li, Lei Zhang, et al.. (2023). Convolution Hierarchical Deep-learning Neural Networks (C-HiDeNN): finite elements, isogeometric analysis, tensor decomposition, and beyond. Computational Mechanics. 72(2). 333–362. 25 indexed citations
8.
Lu, Ye & Weidong Zhu. (2023). Convolution finite element based digital image correlation for displacement and strain measurements. Computer Methods in Applied Mechanics and Engineering. 419. 116597–116597. 6 indexed citations
9.
Park, Chanwook, Ye Lu, Sourav Saha, et al.. (2023). Convolution hierarchical deep-learning neural network (C-HiDeNN) with graphics processing unit (GPU) acceleration. Computational Mechanics. 72(2). 383–409. 23 indexed citations
10.
Saha, Sourav, Orion L. Kafka, Ye Lu, Cheng Yu, & Wing Kam Liu. (2021). Macroscale Property Prediction for Additively Manufactured IN625 from Microstructure Through Advanced Homogenization. Integrating materials and manufacturing innovation. 10(3). 360–372. 7 indexed citations
11.
Zhang, Lei, Ye Lu, Shaoqiang Tang, & Wing Kam Liu. (2021). HiDeNN-TD: Reduced-order hierarchical deep learning neural networks. Computer Methods in Applied Mechanics and Engineering. 389. 114414–114414. 36 indexed citations
12.
Saha, Sourav, Orion L. Kafka, Ye Lu, Cheng Yu, & Wing Kam Liu. (2021). Microscale Structure to Property Prediction for Additively Manufactured IN625 through Advanced Material Model Parameter Identification. Integrating materials and manufacturing innovation. 10(2). 142–156. 13 indexed citations
13.
Zhou, Yushan, et al.. (2021). Research on reliability Evaluation system of distribution network based on Knowledge Graph. 2021 IEEE Sustainable Power and Energy Conference (iSPEC). 43. 1808–1813. 1 indexed citations
14.
Lu, Ye, et al.. (2020). Adaptive hyper reduction for additive manufacturing thermal fluid analysis. Computer Methods in Applied Mechanics and Engineering. 372. 113312–113312. 21 indexed citations
15.
16.
Lu, Ye, et al.. (2018). Conduit Route Selection for Total Cavopulmonary Connection in Patients With Apicocaval Juxtaposition. Seminars in Thoracic and Cardiovascular Surgery. 31(1). 104–109. 5 indexed citations
17.
Lu, Ye, et al.. (2016). Microstructure and tribological properties of WS x /a-C multilayer films with various layer thickness ratios in different environments. Surface and Coatings Technology. 309. 187–194. 10 indexed citations
18.
Belytschko, Ted, Ye Lu, & Linxia Gu. (1995). Crack propagation by element-free Galerkin methods. Engineering Fracture Mechanics. 51(2). 295–315. 440 indexed citations breakdown →
19.
Belytschko, Ted, Ye Lu, & Linxia Gu. (1994). Element‐free Galerkin methods. International Journal for Numerical Methods in Engineering. 37(2). 229–256. 4471 indexed citations breakdown →
20.
Belytschko, Ted & Ye Lu. (1990). Global-local finite element-spectral-boundary element techniques for failure analysis. Computers & Structures. 37(2). 133–140. 3 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026