Amèvi Tongne

572 total citations
27 papers, 397 citations indexed

About

Amèvi Tongne is a scholar working on Mechanical Engineering, Mechanics of Materials and Materials Chemistry. According to data from OpenAlex, Amèvi Tongne has authored 27 papers receiving a total of 397 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Mechanical Engineering, 8 papers in Mechanics of Materials and 6 papers in Materials Chemistry. Recurrent topics in Amèvi Tongne's work include Advanced Welding Techniques Analysis (9 papers), Metal Forming Simulation Techniques (8 papers) and Aluminum Alloys Composites Properties (7 papers). Amèvi Tongne is often cited by papers focused on Advanced Welding Techniques Analysis (9 papers), Metal Forming Simulation Techniques (8 papers) and Aluminum Alloys Composites Properties (7 papers). Amèvi Tongne collaborates with scholars based in France, Canada and Brazil. Amèvi Tongne's co-authors include Éric Feulvarch, Christophe Desrayaud, Bernard Kamsu-Foguem, Raymond Houé Ngouna, Mohammad Jahazi, Gilles Dessein, Olivier Cahuc, Vincent Wagner, Olivier Pantalé and Lionel Arnaud and has published in prestigious journals such as Nano Energy, Sensors and Actuators B Chemical and Journal of Materials Processing Technology.

In The Last Decade

Amèvi Tongne

25 papers receiving 372 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Amèvi Tongne France 10 271 72 58 58 35 27 397
Yipeng Wang China 12 285 1.1× 61 0.8× 59 1.0× 61 1.1× 23 0.7× 47 431
Fusheng Zhang China 12 263 1.0× 72 1.0× 66 1.1× 56 1.0× 83 2.4× 42 427
Nathi Ram Chauhan India 11 260 1.0× 24 0.3× 66 1.1× 44 0.8× 37 1.1× 58 383
Yongbiao Hu China 10 212 0.8× 57 0.8× 30 0.5× 58 1.0× 26 0.7× 30 400
Mehmet Ali Güvenç Türkiye 8 169 0.6× 38 0.5× 49 0.8× 31 0.5× 65 1.9× 15 301
I.S. Kim South Korea 11 434 1.6× 48 0.7× 86 1.5× 51 0.9× 15 0.4× 15 504
Cem C. Tutum Denmark 14 376 1.4× 84 1.2× 110 1.9× 28 0.5× 10 0.3× 26 474
Abdelhakim Dorbane Algeria 10 298 1.1× 110 1.5× 52 0.9× 55 0.9× 8 0.2× 21 393
Dongdong You China 9 216 0.8× 46 0.6× 54 0.9× 62 1.1× 56 1.6× 32 314

Countries citing papers authored by Amèvi Tongne

Since Specialization
Citations

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

Fields of papers citing papers by Amèvi Tongne

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amèvi Tongne

This figure shows the co-authorship network connecting the top 25 collaborators of Amèvi Tongne. A scholar is included among the top collaborators of Amèvi Tongne 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 Amèvi Tongne. Amèvi Tongne 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.
Wang, Mingchuan, et al.. (2025). Improved self-sensing harsh-impact absorber merging compression-torsion metamaterial with active magnetorheological effects. Nano Energy. 139. 110921–110921. 1 indexed citations
2.
Keller, Clément, et al.. (2025). Corrective capabilities of laser rescanning for lack-of-fusion pores and property restoration in initially porous 316L PBF-LB parts. Journal of Manufacturing Processes. 154. 480–503.
3.
Chen, Cai, Mingchuan Wang, Zhonghua Du, et al.. (2025). Reduction of compression-tension yield asymmetry in binary Mg Gd alloys via mastering their crystallographic textures. Materials Characterization. 225. 115180–115180. 2 indexed citations
4.
Chen, Sicheng, et al.. (2025). A Kresling origami-enabled soft robot toward autonomous obstacle avoidance and wall-climbing. Sensors and Actuators B Chemical. 438. 137792–137792. 2 indexed citations
5.
Jahazi, Mohammad, et al.. (2023). Artificial Neural Network-Based Critical Conditions for the Dynamic Recrystallization of Medium Carbon Steel and Application. Metals. 13(10). 1746–1746. 5 indexed citations
6.
Bresson, Y., Amèvi Tongne, Maher Baili, & Lionel Arnaud. (2023). Global-to-local simulation of the thermal history in the laser powder bed fusion process based on a multiscale finite element approach. The International Journal of Advanced Manufacturing Technology. 127(9-10). 4727–4744. 9 indexed citations
7.
8.
Bresson, Y., Amèvi Tongne, Maher Baili, & Lionel Arnaud. (2023). Identifying main contamination factors of laser powder bed fusion oxidation-sensitive powders. The International Journal of Advanced Manufacturing Technology. 127(5-6). 2687–2706. 2 indexed citations
9.
Wagner, Vincent, et al.. (2023). Orthogonal cutting to develop a damage law for severe plastic deformation processes: application to friction stir welding. The International Journal of Advanced Manufacturing Technology. 131(2). 719–737. 2 indexed citations
10.
Kamsu-Foguem, Bernard, et al.. (2022). Health condition monitoring of a complex hydraulic system using Deep Neural Network and DeepSHAP explainable XAI. Advances in Engineering Software. 175. 103339–103339. 56 indexed citations
11.
Bresson, Y., et al.. (2022). Numerical modelling of parts distortion and beam supports breakage during selective laser melting (SLM) additive manufacturing. The International Journal of Advanced Manufacturing Technology. 119(9-10). 5727–5742. 9 indexed citations
12.
Wagner, Vincent, et al.. (2022). Power-based Model for Temperature Prediction in FSW. Journal of Physics Conference Series. 2287(1). 12025–12025. 2 indexed citations
13.
14.
Welemane, Hélène, et al.. (2020). Steady-state heat transfer in microcracked media. Mechanics & Industry. 21(5). 519–519. 3 indexed citations
15.
Wagner, Vincent, Christian Garnier, Amèvi Tongne, et al.. (2020). Influence of welding parameters on the microstructure, thermal fields and defect formation in AA7075-T6 friction stir welds. Welding in the World. 64(5). 773–784. 14 indexed citations
16.
Dalverny, Olivier, et al.. (2019). Numerical simulation of interfacial delamination between SiO2 thin film and polymeric substrate. AIP conference proceedings. 2196. 20014–20014.
17.
Welemane, Hélène, et al.. (2019). Thermal conduction properties of microcracked media: Accounting for the unilateral effect. Comptes Rendus Mécanique. 347(12). 944–952. 2 indexed citations
18.
Feulvarch, Éric, et al.. (2016). Two 3D thermomechanical numerical models of friction stir welding processes with a trigonal pin. Numerical Heat Transfer Part A Applications. 70(9). 995–1008. 7 indexed citations
19.
Tongne, Amèvi, et al.. (2016). Two dimensional Coupled Eulerian Lagrangian (CEL) model for banded structure prediction in friction stir welding with trigonal tool. AIP conference proceedings. 1769. 100007–100007. 2 indexed citations
20.
Tongne, Amèvi, Christophe Desrayaud, Mohammad Jahazi, & Éric Feulvarch. (2015). Analytical modeling of material flow in friction stir welding. Espace ÉTS (ETS). 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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