Tri Le‐Quang

851 total citations
14 papers, 681 citations indexed

About

Tri Le‐Quang is a scholar working on Mechanical Engineering, Biomedical Engineering and Automotive Engineering. According to data from OpenAlex, Tri Le‐Quang has authored 14 papers receiving a total of 681 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Mechanical Engineering, 4 papers in Biomedical Engineering and 3 papers in Automotive Engineering. Recurrent topics in Tri Le‐Quang's work include Welding Techniques and Residual Stresses (10 papers), Additive Manufacturing Materials and Processes (6 papers) and Additive Manufacturing and 3D Printing Technologies (3 papers). Tri Le‐Quang is often cited by papers focused on Welding Techniques and Residual Stresses (10 papers), Additive Manufacturing Materials and Processes (6 papers) and Additive Manufacturing and 3D Printing Technologies (3 papers). Tri Le‐Quang collaborates with scholars based in Switzerland and France. Tri Le‐Quang's co-authors include Kilian Wasmer, Sergey Shevchik, Bastian Meylan, Giulio Masinelli, Vigneashwara Pandiyan, Roland E. Logé, Margie P. Olbinado, Alexander Rack, Farzad Vakili-Farahani and Christian Leinenbach and has published in prestigious journals such as Journal of Cleaner Production, Scientific Reports and IEEE Access.

In The Last Decade

Tri Le‐Quang

14 papers receiving 659 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Tri Le‐Quang Switzerland	11	585	220	162	109	109	14	681
Sa’id Golabi Iran	12	487 0.8×	254 1.2×	74 0.5×	168 1.5×	90 0.8×	32	664
Ebot Ndip-Agbor United States	10	320 0.5×	124 0.6×	84 0.5×	149 1.4×	109 1.0×	13	383
Ziyad Smoqi United States	12	586 1.0×	334 1.5×	144 0.9×	64 0.6×	40 0.4×	15	646
Haley Doude United States	12	744 1.3×	422 1.9×	188 1.2×	102 0.9×	28 0.3×	23	827
Hongming Gao China	12	489 0.8×	122 0.6×	75 0.5×	77 0.7×	34 0.3×	35	549
John C. Steuben United States	11	383 0.7×	322 1.5×	149 0.9×	63 0.6×	82 0.8×	73	592
Kuntal Maji India	13	453 0.8×	108 0.5×	49 0.3×	116 1.1×	232 2.1×	36	548
Emre Biyikli United States	9	258 0.4×	174 0.8×	69 0.4×	205 1.9×	39 0.4×	12	585
Tianju Xue United States	13	322 0.6×	109 0.5×	42 0.3×	126 1.2×	60 0.6×	25	534

Countries citing papers authored by Tri Le‐Quang

Since Specialization

Citations

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

Fields of papers citing papers by Tri Le‐Quang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tri Le‐Quang. 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 Tri Le‐Quang. The network helps show where Tri Le‐Quang may publish in the future.

Co-authorship network of co-authors of Tri Le‐Quang

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

All Works

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14 of 14 papers shown

Pandiyan, Vigneashwara, Giulio Masinelli, Tri Le‐Quang, et al.. (2022). Deep learning-based monitoring of laser powder bed fusion process on variable time-scales using heterogeneous sensing and operando X-ray radiography guidance. Additive manufacturing. 58. 103007–103007. 62 indexed citations

Masinelli, Giulio, Tri Le‐Quang, Milad Hamidi Nasab, et al.. (2022). Deep Learning-Based Monitoring of Laser Powder Bed Fusion Process on Variable Time-Scales Using Heterogeneous Sensing and Operando X-Ray Radiography Guidance. SSRN Electronic Journal. 5 indexed citations

Pandiyan, Vigneashwara, et al.. (2022). In situ quality monitoring in direct energy deposition process using co-axial process zone imaging and deep contrastive learning. Journal of Manufacturing Processes. 81. 1064–1075. 27 indexed citations

Pandiyan, Vigneashwara, Sergey Shevchik, Giulio Masinelli, et al.. (2022). Deep transfer learning of additive manufacturing mechanisms across materials in metal-based laser powder bed fusion process. Journal of Materials Processing Technology. 303. 117531–117531. 94 indexed citations

Le‐Quang, Tri, et al.. (2021). Energy-efficient laser welding with beam oscillating technique – A parametric study. Journal of Cleaner Production. 313. 127796–127796. 11 indexed citations

Pandiyan, Vigneashwara, Sergey Shevchik, Giulio Masinelli, et al.. (2021). Semi-supervised Monitoring of Laser powder bed fusion process based on acoustic emissions. Virtual and Physical Prototyping. 16(4). 481–497. 73 indexed citations

Shevchik, Sergey, Tri Le‐Quang, Bastian Meylan, et al.. (2020). Supervised deep learning for real-time quality monitoring of laser welding with X-ray radiographic guidance. Scientific Reports. 10(1). 3389–3389. 97 indexed citations

Shevchik, Sergey, Tri Le‐Quang, Bastian Meylan, et al.. (2020). Machine learning monitoring for laser osteotomy. Journal of Biophotonics. 14(4). e202000352–e202000352. 2 indexed citations

Masinelli, Giulio, et al.. (2020). Adaptive Laser Welding Control: A Reinforcement Learning Approach. IEEE Access. 8. 103803–103814. 47 indexed citations

10.

Meylan, Bastian, Tri Le‐Quang, Margie P. Olbinado, et al.. (2019). Re-solidification dynamics and microstructural analysis of laser welded aluminium. International Journal of Materials Research (formerly Zeitschrift fuer Metallkunde). 111(1). 17–22. 4 indexed citations

11.

Shevchik, Sergey, et al.. (2019). Laser Welding Quality Monitoring via Graph Support Vector Machine With Data Adaptive Kernel. IEEE Access. 7. 93108–93122. 46 indexed citations

12.

Le‐Quang, Tri, Sergey Shevchik, Bastian Meylan, et al.. (2018). Why is in situ quality control of laser keyhole welding a real challenge?. Procedia CIRP. 74. 649–653. 30 indexed citations

13.

Wasmer, Kilian, Tri Le‐Quang, Bastian Meylan, et al.. (2018). Laser processing quality monitoring by combining acoustic emission and machine learning: a high-speed X-ray imaging approach. Procedia CIRP. 74. 654–658. 58 indexed citations

14.

Wasmer, Kilian, Tri Le‐Quang, Bastian Meylan, & Sergey Shevchik. (2018). In Situ Quality Monitoring in AM Using Acoustic Emission: A Reinforcement Learning Approach. Journal of Materials Engineering and Performance. 28(2). 666–672. 125 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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