Jia Lu

2.2k total citations
82 papers, 1.7k citations indexed

About

Jia Lu is a scholar working on Biomedical Engineering, Mechanics of Materials and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Jia Lu has authored 82 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Biomedical Engineering, 24 papers in Mechanics of Materials and 17 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Jia Lu's work include Elasticity and Material Modeling (51 papers), Aortic aneurysm repair treatments (14 papers) and Advanced Numerical Analysis Techniques (11 papers). Jia Lu is often cited by papers focused on Elasticity and Material Modeling (51 papers), Aortic aneurysm repair treatments (14 papers) and Advanced Numerical Analysis Techniques (11 papers). Jia Lu collaborates with scholars based in United States, China and France. Jia Lu's co-authors include Panayiotis Papadopoulos, Xianlian Zhou, Madhavan L. Raghavan, K. B. Chandran, Hyunggun Kim, Stéphane Avril, Michael S. Sacks, Xuefeng Zhao, Liang Zhang and Karol Miller and has published in prestigious journals such as The Journal of Physiology, Computer Methods in Applied Mechanics and Engineering and Journal of Biomechanics.

In The Last Decade

Jia Lu

79 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jia Lu United States	25	873	475	369	350	318	82	1.7k
Grand Roman Joldes Australia	23	757 0.9×	383 0.8×	312 0.8×	98 0.3×	509 1.6×	67	1.6k
Chung‐Hao Lee United States	23	583 0.7×	159 0.3×	139 0.4×	707 2.0×	103 0.3×	90	1.4k
Daniel Balzani Germany	23	1.1k 1.3×	173 0.4×	801 2.2×	132 0.4×	258 0.8×	139	1.9k
Simone Morganti Italy	24	305 0.3×	471 1.0×	209 0.6×	718 2.1×	334 1.1×	78	1.9k
Manuel K. Rausch United States	25	767 0.9×	275 0.6×	158 0.4×	591 1.7×	74 0.2×	99	1.6k
B. R. Simon United States	25	730 0.8×	258 0.5×	270 0.7×	232 0.7×	125 0.4×	52	2.0k
Michael S. Sacks United States	28	668 0.8×	329 0.7×	216 0.6×	1.2k 3.5×	875 2.8×	54	2.6k
David Frakes United States	28	554 0.6×	503 1.1×	53 0.1×	407 1.2×	164 0.5×	98	2.1k
John C. Criscione United States	19	692 0.8×	105 0.2×	241 0.7×	500 1.4×	31 0.1×	56	1.3k
Kevin M. Moerman Ireland	20	647 0.7×	171 0.4×	83 0.2×	82 0.2×	50 0.2×	54	1.3k

Countries citing papers authored by Jia Lu

Since Specialization

Citations

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

Fields of papers citing papers by Jia Lu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jia Lu

This figure shows the co-authorship network connecting the top 25 collaborators of Jia Lu. A scholar is included among the top collaborators of Jia 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 Jia Lu. Jia Lu 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

Lu, Jia & Ferdinando Auricchio. (2025). What does the slope of stress–stretch curves tell us about vascular tissue response?. Journal of the mechanical behavior of biomedical materials. 164. 106906–106906.

Lu, Jia, et al.. (2025). A waviness-centered damage model for collagenous soft tissues. Acta Biomaterialia. 195. 134–143.

Lu, Jia, et al.. (2025). Identifying hyperelastic material parameters using force balance and partial displacement data. International Journal of Solids and Structures. 313. 113283–113283.

Lu, Jia, et al.. (2024). Performance enhancement with geometrically shaped 4/8D-SP-50QAM for DDO-OFDM system. Optics Communications. 568. 130740–130740. 2 indexed citations

Qi, Xiaoyu, Ming Yang, Huan Luo, et al.. (2024). Regional Stiffness and Hardening Indices: New Indicators Derived from Multidimensional Dynamic CTA for Aneurysm Risk Assessment. Advanced Science. 11(47). e2400653–e2400653. 1 indexed citations

Wong, Karen K., Jia Lu, Jasen Kunz, et al.. (2024). Automated cooling tower detection through deep learning for Legionnaires’ disease outbreak investigations: a model development and validation study. The Lancet Digital Health. 6(7). e500–e506. 1 indexed citations

Lu, Jia, et al.. (2024). Performance analysis of geometrically shaped 16/32/64/128QAM based on swarm intelligence algorithm. Optical Fiber Technology. 90. 104111–104111. 1 indexed citations

Lu, Jia, et al.. (2023). Performance analysis of spectrally shaped DDO-OFDM based on nonlinear differential coding and real-valued precoding. Optics Communications. 542. 129597–129597. 1 indexed citations

Li, Jingjing, et al.. (2023). Modulation Format Identification and OSNR Monitoring Based on Multi-Feature Fusion Network. Photonics. 10(4). 373–373. 5 indexed citations

10.

Ma, Jie, et al.. (2023). Quadrant Multiplexing-based Geometrically Shaped Four-Dimensional Modulation Format for Polarization Multiplexed Coherent Optical Communication System. Optical Fiber Technology. 77. 103274–103274. 4 indexed citations

11.

Lu, Jia, et al.. (2022). On strain-based rupture criterion for ascending aortic aneurysm: The role of fiber waviness. Acta Biomaterialia. 149. 51–59. 2 indexed citations

12.

Auricchio, Ferdinando, et al.. (2021). Uniaxial properties of ascending aortic aneurysms in light of effective stretch. Acta Biomaterialia. 136. 306–313. 10 indexed citations

13.

Kaiser, Tobias, Jia Lu, Andreas Menzel, & Panayiotis Papadopoulos. (2019). A covariant formulation of finite plasticity with plasticity-induced evolution of anisotropy: Modeling, algorithmics, simulation, and comparison to experiments. International Journal of Solids and Structures. 185-186. 116–142. 8 indexed citations

14.

Lu, Jia, et al.. (2018). Parameter Optimization and Prediction Model of Induction Heating for Large-Diameter Pipe. Mathematical Problems in Engineering. 2018. 1–12. 7 indexed citations

15.

Davis, Frances M., et al.. (2015). Pointwise characterization of the elastic properties of planar soft tissues: application to ascending thoracic aneurysms. Biomechanics and Modeling in Mechanobiology. 14(5). 967–978. 36 indexed citations

16.

Lu, Jia, et al.. (2013). A Shell-Based Inverse Approach of Stress Analysis in Intracranial Aneurysms. Annals of Biomedical Engineering. 41(7). 1505–1515. 21 indexed citations

17.

Zhao, Xuefeng, Madhavan L. Raghavan, & Jia Lu. (2010). Identifying heterogeneous anisotropic properties in cerebral aneurysms: a pointwise approach. Biomechanics and Modeling in Mechanobiology. 10(2). 177–189. 24 indexed citations

18.

Zhou, Xianlian, Madhavan L. Raghavan, Robert E. Harbaugh, & Jia Lu. (2009). Patient-Specific Wall Stress Analysis in Cerebral Aneurysms Using Inverse Shell Model. Annals of Biomedical Engineering. 38(2). 478–489. 33 indexed citations

19.

Kim, Hyunggun, Jia Lu, Michael S. Sacks, & K. B. Chandran. (2007). Dynamic Simulation of Bioprosthetic Heart Valves Using a Stress Resultant Shell Model. Annals of Biomedical Engineering. 36(2). 262–275. 93 indexed citations

20.

Lu, Jia, Xianlian Zhou, & Madhavan L. Raghavan. (2006). Inverse elastostatic stress analysis in pre-deformed biological structures: Demonstration using abdominal aortic aneurysms. Journal of Biomechanics. 40(3). 693–696. 123 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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