Y.S. Tarng

6.2k total citations · 1 hit paper
114 papers, 4.9k citations indexed

About

Y.S. Tarng is a scholar working on Mechanical Engineering, Industrial and Manufacturing Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Y.S. Tarng has authored 114 papers receiving a total of 4.9k indexed citations (citations by other indexed papers that have themselves been cited), including 98 papers in Mechanical Engineering, 41 papers in Industrial and Manufacturing Engineering and 30 papers in Electrical and Electronic Engineering. Recurrent topics in Y.S. Tarng's work include Advanced machining processes and optimization (75 papers), Advanced Machining and Optimization Techniques (28 papers) and Advanced Surface Polishing Techniques (27 papers). Y.S. Tarng is often cited by papers focused on Advanced machining processes and optimization (75 papers), Advanced Machining and Optimization Techniques (28 papers) and Advanced Surface Polishing Techniques (27 papers). Y.S. Tarng collaborates with scholars based in Taiwan, Indonesia and United States. Y.S. Tarng's co-authors include Weihong Yang, Shu-Han Juang, J. Y. Kao, C.Y. Nian, Ching‐Kao Chang, Siwei Ma, Jiying Su, Jiang Lin, B.H. Yan and K.S. Wang and has published in prestigious journals such as Expert Systems with Applications, IEEE Transactions on Industry Applications and Journal of Materials Processing Technology.

In The Last Decade

Y.S. Tarng

112 papers receiving 4.4k citations

Hit Papers

Design optimization of cutting parameters for turning ope... 1998 2026 2007 2016 1998 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Y.S. Tarng Taiwan 31 4.0k 2.0k 1.6k 1.1k 445 114 4.9k
Dinghua Zhang China 38 3.5k 0.9× 1.2k 0.6× 1.5k 1.0× 1.0k 1.0× 215 0.5× 267 4.5k
Ichiro INASAKI Japan 33 4.6k 1.2× 2.1k 1.0× 3.1k 2.0× 822 0.8× 221 0.5× 153 5.1k
Thomas Bergs Germany 22 2.0k 0.5× 921 0.5× 984 0.6× 807 0.8× 418 0.9× 444 3.3k
Surjya K. Pal India 49 5.2k 1.3× 1.5k 0.7× 1.5k 0.9× 808 0.8× 216 0.5× 237 7.0k
Marek Balazinski Canada 32 1.9k 0.5× 945 0.5× 707 0.4× 447 0.4× 261 0.6× 132 2.7k
Ming Luo China 31 2.3k 0.6× 907 0.5× 1.1k 0.7× 892 0.8× 140 0.3× 154 2.8k
Garret E. O’Donnell Ireland 26 2.4k 0.6× 886 0.4× 882 0.6× 717 0.7× 185 0.4× 75 3.2k
George-Christopher Vosniakos Greece 23 1.9k 0.5× 836 0.4× 762 0.5× 1.1k 1.1× 353 0.8× 139 3.2k
Zhongqin Lin China 34 2.7k 0.7× 603 0.3× 752 0.5× 496 0.5× 542 1.2× 210 4.1k
Robert G. Landers United States 35 2.4k 0.6× 1.3k 0.7× 768 0.5× 952 0.9× 871 2.0× 216 4.5k

Countries citing papers authored by Y.S. Tarng

Since Specialization
Citations

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

Fields of papers citing papers by Y.S. Tarng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Y.S. Tarng. 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 Y.S. Tarng. The network helps show where Y.S. Tarng may publish in the future.

Co-authorship network of co-authors of Y.S. Tarng

This figure shows the co-authorship network connecting the top 25 collaborators of Y.S. Tarng. A scholar is included among the top collaborators of Y.S. Tarng 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 Y.S. Tarng. Y.S. Tarng 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.
Tarng, Y.S., et al.. (2014). A self–organising neural network for chatter identification in milling. 1 indexed citations
2.
Tarng, Y.S., et al.. (2010). Two-stage rule-based precision positioning control of a piezoelectrically actuated table. International Journal of Systems Science. 41(5). 521–536. 1 indexed citations
3.
Tarng, Y.S., et al.. (2007). Application of grey-based Taguchi methods on determining process parameter of linear motion guide with multiple performance characteristics. International Conference on Applied Mathematics. 72–79. 1 indexed citations
4.
Lin, Jia‐Hua, et al.. (2007). Development of an auto-painting technology for dental burs. International Journal of Computer Applications in Technology. 30(1/2). 137–137.
5.
Su, Jiying, et al.. (2007). Application of the structured illumination method for automated visual inspection of the loudspeaker cones. Journal of Materials Processing Technology. 200(1-3). 59–70. 1 indexed citations
6.
Kao, J. Y. & Y.S. Tarng. (2006). The registration of CT image to the patient head by using an automated laser surface scanning system—a phantom study. Computer Methods and Programs in Biomedicine. 83(1). 1–11. 3 indexed citations
7.
Tarng, Y.S., et al.. (2002). An optimization approach for the fuzzy control of turning operations. 145–148. 3 indexed citations
8.
Tarng, Y.S., et al.. (2000). Chatter suppression in turning operations with a tuned vibration absorber. Journal of Materials Processing Technology. 105(1-2). 55–60. 127 indexed citations
9.
Lin, Jiang, K.S. Wang, B.H. Yan, & Y.S. Tarng. (2000). Optimization of the electrical discharge machining process based on the Taguchi method with fuzzy logics. Journal of Materials Processing Technology. 102(1-3). 48–55. 219 indexed citations
10.
Tarng, Y.S., et al.. (1999). An abductive network for predicting tool life in drilling. IEEE Transactions on Industry Applications. 35(1). 190–195. 15 indexed citations
11.
Tarng, Y.S., et al.. (1999). Intelligent modelling and optimization of the gas tungsten arc welding process. Journal of Intelligent Manufacturing. 10(1). 73–79. 14 indexed citations
12.
Tarng, Y.S., et al.. (1999). Intelligent cross-coupled fuzzy feedrate controller design for CNC machine tools based on genetic algorithms. International Journal of Machine Tools and Manufacture. 39(10). 1673–1692. 41 indexed citations
13.
Juang, Shu-Han, et al.. (1998). A comparison between the back-propagation and counter-propagation networks in the modeling of the TIG welding process. Journal of Materials Processing Technology. 75(1-3). 54–62. 89 indexed citations
14.
Tarng, Y.S., et al.. (1996). Genetic synthesis of fuzzy logic controllers in turning. Fuzzy Sets and Systems. 83(3). 301–310. 20 indexed citations
15.
Tarng, Y.S., Chih-Chang Lin, & C.Y. Nian. (1996). Automatic generation of a fuzzy rule base for constant turning force. Journal of Intelligent Manufacturing. 7(1). 77–84. 12 indexed citations
16.
Tarng, Y.S., et al.. (1996). Automatic selection of spindle speed for suppression of regenerative chatter in turning. The International Journal of Advanced Manufacturing Technology. 11(1). 12–17. 27 indexed citations
17.
Tarng, Y.S., et al.. (1995). A self-organizing neural fuzzy logic controller for turning operations. International Journal of Machine Tools and Manufacture. 35(10). 1363–1374. 14 indexed citations
18.
Tarng, Y.S., et al.. (1994). An analytical model of chatter vibration in metal cutting. International Journal of Machine Tools and Manufacture. 34(2). 183–197. 39 indexed citations
19.
Tarng, Y.S., et al.. (1994). A neural network controller for constant turning force. International Journal of Machine Tools and Manufacture. 34(4). 453–460. 27 indexed citations
20.
Tarng, Y.S., et al.. (1992). Dynamic response of a workpiece in turning with continuously varying speed. Computers & Structures. 45(5-6). 901–909. 2 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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