Jim Lua

1.5k total citations
83 papers, 955 citations indexed

About

Jim Lua is a scholar working on Mechanics of Materials, Mechanical Engineering and Civil and Structural Engineering. According to data from OpenAlex, Jim Lua has authored 83 papers receiving a total of 955 indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Mechanics of Materials, 34 papers in Mechanical Engineering and 20 papers in Civil and Structural Engineering. Recurrent topics in Jim Lua's work include Mechanical Behavior of Composites (43 papers), Fatigue and fracture mechanics (33 papers) and Numerical methods in engineering (18 papers). Jim Lua is often cited by papers focused on Mechanical Behavior of Composites (43 papers), Fatigue and fracture mechanics (33 papers) and Numerical methods in engineering (18 papers). Jim Lua collaborates with scholars based in United States, China and Australia. Jim Lua's co-authors include Xiaodong Cui, Chunyu Li, David L. Chopp, Ted Belytschko, N. Sukumar, Jianxu Shi, Eugene Fang, Ling Liu, Nam Phan and Xiang Ren and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied Physics Letters and Journal of Applied Physics.

In The Last Decade

Jim Lua

74 papers receiving 888 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jim Lua United States 16 672 305 279 143 112 83 955
Mostafa Rassaian United States 14 697 1.0× 411 1.3× 409 1.5× 137 1.0× 58 0.5× 60 912
Yao Koutsawa Luxembourg 23 975 1.5× 367 1.2× 481 1.7× 197 1.4× 67 0.6× 71 1.4k
David Mollenhauer United States 18 953 1.4× 294 1.0× 345 1.2× 118 0.8× 35 0.3× 81 1.2k
Jalil Rezaeepazhand Iran 21 734 1.1× 292 1.0× 825 3.0× 137 1.0× 118 1.1× 73 1.3k
Iman Dayyani United Kingdom 20 474 0.7× 490 1.6× 553 2.0× 284 2.0× 112 1.0× 38 1.3k
Mehran� Kadkhodayan Iran 19 1.0k 1.5× 528 1.7× 545 2.0× 325 2.3× 104 0.9× 85 1.3k
Anita Catapano France 21 828 1.2× 402 1.3× 661 2.4× 68 0.5× 85 0.8× 46 1.2k
Andrew J. Gunnion Australia 13 673 1.0× 344 1.1× 259 0.9× 160 1.1× 66 0.6× 25 837
Frédéric Dau France 15 396 0.6× 240 0.8× 198 0.7× 59 0.4× 72 0.6× 34 613
Francesco Di Caprio Italy 19 443 0.7× 481 1.6× 334 1.2× 227 1.6× 73 0.7× 63 872

Countries citing papers authored by Jim Lua

Since Specialization
Citations

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

Fields of papers citing papers by Jim Lua

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jim Lua

This figure shows the co-authorship network connecting the top 25 collaborators of Jim Lua. A scholar is included among the top collaborators of Jim Lua 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 Jim Lua. Jim Lua 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.
Zhang, Xiao-kun, et al.. (2025). Enhancing Textual Personality Detection Toward Social Media: Integrating Long-Term and Short-Term Perspectives. IEEE Transactions on Audio Speech and Language Processing. 33. 4563–4573. 1 indexed citations
2.
3.
Lua, Jim, et al.. (2024). Multi-stage precipitation modeling for AA 7050 hole repairs in additive friction stir deposition. Journal of Applied Physics. 136(16). 3 indexed citations
4.
Griffiths, R. Joey, et al.. (2024). A non-melting additive approach to structural repair of aluminum aircraft fastener holes. SHILAP Revista de lepidopterología. 11. 100249–100249. 6 indexed citations
5.
Liu, Ning, Edward W. Reutzel, Prahalada Rao, et al.. (2024). Deep neural operator enabled digital twin modeling for additive manufacturing. 2(3). 174–201. 11 indexed citations
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Zhao, Ze, et al.. (2022). Full-field temperature recovery during water quenching processes via physics-informed machine learning. Journal of Materials Processing Technology. 303. 117534–117534. 22 indexed citations
9.
Chang, Paul, Matthew Ibrahim, Chris Wright, et al.. (2022). Post-Impact Fatigue Durability Assessment of Composite Laminates for Enhanced Aircraft Sustainment. AIAA Journal. 60(2). 938–950. 2 indexed citations
10.
Sadeghirad, Alireza, Kasra Momeni, Yanzhou Ji, et al.. (2019). Multiscale crystal-plasticity phase field and extended finite element methods for fatigue crack initiation and propagation modeling. International Journal of Fracture. 216(1). 41–57. 14 indexed citations
11.
Sadeghirad, Alireza, et al.. (2019). A Continuum Damage Mechanics (CDM) Modeling Approach for Prediction of Fatigue Failure of Metallic Bolted Joints. AIAA Scitech 2019 Forum. 11 indexed citations
12.
Cui, Xiaodong, et al.. (2019). A Progressive Fatigue Model for Bolted Composite Components. AIAA Scitech 2019 Forum. 4 indexed citations
13.
Jones, R., A. J. Kinloch, John G. Michopoulos, et al.. (2019). Assessing failure and delamination growth in composites and bonded joints under variable amplitude loads. 3 indexed citations
14.
Pham, D.C. & Jim Lua. (2018). A 3D progressive damage model for fatigue analysis of woven fabric composites. 2018 AIAA/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference. 1 indexed citations
15.
Lua, Jim, et al.. (2018). A Progressive Damage Model for Fatigue Analysis of Woven Fabric Composites. 1–8. 2 indexed citations
16.
Lua, Jim, Tingting Zhang, Eugene Fang, & Jeong‐Hoon Song. (2015). Explicit phantom paired shell element approach for crack branching and impact damage prediction of aluminum structures. International Journal of Impact Engineering. 87. 28–43. 13 indexed citations
17.
Lua, Jim, Ling Liu, Jack Chessa, & Sheng Peng. (2012). Crack Growth and Residual Strength Prediction of Thin-Walled Aluminum Structures Using XSHELL. 1 indexed citations
18.
Qiao, Huiyun, Weiqiu Chen, Qingda Yang, & Jim Lua. (2011). Augmented Cohesive Elements for Efficient Delamination Analyses of Composite Laminates. Journal of Engineering Materials and Technology. 133(4). 7 indexed citations
19.
Yang, Qingda, et al.. (2010). An improved cohesive element for shell delamination analyses. International Journal for Numerical Methods in Engineering. 83(5). 611–641. 40 indexed citations
20.
Lua, Jim, et al.. (2009). XFEM Toolkit for Delamination Failure Prediction of Composite Bonded Pi Joints. 50th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference. 6 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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