Jenn-Terng Gau

30 total papers · 807 total citations
29 papers, 670 citations indexed

About

Jenn-Terng Gau is a scholar working on Mechanical Engineering, Mechanics of Materials and Computational Mechanics. According to data from OpenAlex, Jenn-Terng Gau has authored 29 papers receiving a total of 670 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Mechanical Engineering, 18 papers in Mechanics of Materials and 11 papers in Computational Mechanics. Recurrent topics in Jenn-Terng Gau's work include Metal Forming Simulation Techniques (20 papers), Metallurgy and Material Forming (13 papers) and Laser and Thermal Forming Techniques (10 papers). Jenn-Terng Gau is often cited by papers focused on Metal Forming Simulation Techniques (20 papers), Metallurgy and Material Forming (13 papers) and Laser and Thermal Forming Techniques (10 papers). Jenn-Terng Gau collaborates with scholars based in United States, Taiwan and China. Jenn-Terng Gau's co-authors include Gary L. Kinzel, Jyhwen Wang, Miao Yu, Richard M. Alexander, Huixia Liu, Hao Gu, Xiao Wang, Youjuan Ma, Zongbao Shen and Po‐Han Chen and has published in prestigious journals such as Journal of Materials Processing Technology, The International Journal of Advanced Manufacturing Technology and Applied Sciences.

In The Last Decade

Jenn-Terng Gau

27 papers receiving 634 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Jenn-Terng Gau 601 461 232 143 133 29 670
Wilko C. Emmens 737 1.2× 542 1.2× 187 0.8× 177 1.2× 290 2.2× 23 770
Dongliang Ge 525 0.9× 387 0.8× 173 0.7× 132 0.9× 51 0.4× 25 649
S. Thiruvarudchelvan 638 1.1× 504 1.1× 181 0.8× 104 0.7× 187 1.4× 54 693
K. Siegert 689 1.1× 552 1.2× 160 0.7× 145 1.0× 149 1.1× 53 778
Abdeljalil Jourani 500 0.8× 370 0.8× 265 1.1× 136 1.0× 28 0.2× 36 631
Jun Zhao 484 0.8× 338 0.7× 139 0.6× 114 0.8× 101 0.8× 55 586
Hédi Belhadjsalah 493 0.8× 439 1.0× 126 0.5× 92 0.6× 160 1.2× 35 718
Zifa Xu 580 1.0× 288 0.6× 120 0.5× 112 0.8× 158 1.2× 31 727
Daw-Kwei Leu 645 1.1× 523 1.1× 155 0.7× 83 0.6× 162 1.2× 32 724
J. Danckert 584 1.0× 530 1.1× 168 0.7× 100 0.7× 124 0.9× 31 620

Countries citing papers authored by Jenn-Terng Gau

Since Specialization
Citations

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

Fields of papers citing papers by Jenn-Terng Gau

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jenn-Terng Gau. 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 Jenn-Terng Gau. The network helps show where Jenn-Terng Gau may publish in the future.

Co-authorship network of co-authors of Jenn-Terng Gau

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

All Works

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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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