Yu-Fu Lin

676 total citations
18 papers, 554 citations indexed

About

Yu-Fu Lin is a scholar working on Mechanical Engineering, Biomedical Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Yu-Fu Lin has authored 18 papers receiving a total of 554 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Mechanical Engineering, 13 papers in Biomedical Engineering and 10 papers in Electrical and Electronic Engineering. Recurrent topics in Yu-Fu Lin's work include Advanced machining processes and optimization (17 papers), Advanced Surface Polishing Techniques (13 papers) and Advanced Machining and Optimization Techniques (10 papers). Yu-Fu Lin is often cited by papers focused on Advanced machining processes and optimization (17 papers), Advanced Surface Polishing Techniques (13 papers) and Advanced Machining and Optimization Techniques (10 papers). Yu-Fu Lin collaborates with scholars based in Taiwan, United States and China. Yu-Fu Lin's co-authors include Yu-Ting Lu, Fu-Chuan Hsu, Steven Y. Liang, Yixuan Feng, Chiu‐Feng Lin, Yingcheng Lu, Tsung-Pin Hung, Zhipeng Pan, Xiaohong Lü and Zhi‐Ren Liu and has published in prestigious journals such as SHILAP Revista de lepidopterología, The International Journal of Advanced Manufacturing Technology and Ultrasonics.

In The Last Decade

Yu-Fu Lin

18 papers receiving 540 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yu-Fu Lin Taiwan	14	525	318	311	75	58	18	554
Fu-Chuan Hsu Taiwan	16	713 1.4×	485 1.5×	465 1.5×	79 1.1×	68 1.2×	27	752
Tsung-Pin Hung Taiwan	12	424 0.8×	220 0.7×	219 0.7×	52 0.7×	54 0.9×	28	469
Xiang Cheng China	14	388 0.7×	260 0.8×	191 0.6×	70 0.9×	54 0.9×	38	470
Lieh-Dai Yang Taiwan	9	465 0.9×	426 1.3×	427 1.4×	32 0.4×	49 0.8×	11	546
Márton Takács Hungary	8	408 0.8×	285 0.9×	253 0.8×	94 1.3×	29 0.5×	24	477
Marcin Matuszak Poland	5	340 0.6×	171 0.5×	157 0.5×	80 1.1×	52 0.9×	15	385
Gaurav Bartarya India	7	485 0.9×	302 0.9×	270 0.9×	66 0.9×	80 1.4×	20	503
Ersan Aslan Türkiye	9	578 1.1×	352 1.1×	328 1.1×	111 1.5×	79 1.4×	14	651
Wassila Bouzid Tunisia	14	614 1.2×	180 0.6×	276 0.9×	183 2.4×	85 1.5×	52	667
Amir Daneshi Germany	10	642 1.2×	362 1.1×	401 1.3×	61 0.8×	61 1.1×	31	679

Countries citing papers authored by Yu-Fu Lin

Since Specialization

Citations

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

Fields of papers citing papers by Yu-Fu Lin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yu-Fu Lin. 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 Yu-Fu Lin. The network helps show where Yu-Fu Lin may publish in the future.

Co-authorship network of co-authors of Yu-Fu Lin

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

All Works

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18 of 18 papers shown

Feng, Yixuan, Yu-Ting Lu, Yu-Fu Lin, et al.. (2022). Analytical Model for Temperature Prediction in Milling AISI D2 with Minimum Quantity Lubrication. Metals. 12(4). 697–697. 10 indexed citations

Feng, Yixuan, Fu-Chuan Hsu, Yu-Ting Lu, et al.. (2020). Temperature prediction of ultrasonic vibration-assisted milling. Ultrasonics. 108. 106212–106212. 41 indexed citations

Feng, Yixuan, Fu-Chuan Hsu, Yu-Ting Lu, et al.. (2020). Surface roughness prediction in ultrasonic vibration-assisted milling. Journal of Advanced Mechanical Design Systems and Manufacturing. 14(4). JAMDSM0063–JAMDSM0063. 55 indexed citations

Feng, Yixuan, Fu-Chuan Hsu, Yu-Ting Lu, et al.. (2020). Force prediction in ultrasonic vibration-assisted milling. Machining Science and Technology. 25(2). 307–330. 53 indexed citations

Feng, Yixuan, Fu-Chuan Hsu, Yu-Ting Lu, et al.. (2020). Tool wear rate prediction in ultrasonic vibration-assisted milling. Machining Science and Technology. 24(5). 758–780. 45 indexed citations

Feng, Yixuan, Tsung-Pin Hung, Yu-Ting Lu, et al.. (2019). Flank tool wear prediction of laser-assisted milling. Journal of Manufacturing Processes. 43. 292–299. 41 indexed citations

Feng, Yixuan, Tsung-Pin Hung, Yu-Ting Lu, et al.. (2019). Inverse analysis of the tool life in laser-assisted milling. The International Journal of Advanced Manufacturing Technology. 103(5-8). 1947–1958. 9 indexed citations

Feng, Yixuan, Tsung-Pin Hung, Yu-Ting Lu, et al.. (2019). Surface roughness modeling in Laser-assisted End Milling of Inconel 718. Machining Science and Technology. 23(4). 650–668. 34 indexed citations

Feng, Yixuan, Tsung-Pin Hung, Yu-Ting Lu, et al.. (2019). Inverse analysis of the residual stress in laser-assisted milling. The International Journal of Advanced Manufacturing Technology. 106(5-6). 2463–2475. 13 indexed citations

10.

Feng, Yixuan, Fu-Chuan Hsu, Yu-Ting Lu, et al.. (2019). Residual stress prediction in ultrasonic vibration–assisted milling. The International Journal of Advanced Manufacturing Technology. 104(5-8). 2579–2592. 29 indexed citations

11.

Feng, Yixuan, Tsung-Pin Hung, Yu-Ting Lu, et al.. (2019). Residual stress prediction in laser-assisted milling considering recrystallization effects. The International Journal of Advanced Manufacturing Technology. 102(1-4). 393–402. 27 indexed citations

12.

Feng, Yixuan, Tsung-Pin Hung, Yu-Ting Lu, et al.. (2018). Inverse Analysis of Inconel 718 Laser-Assisted Milling to Achieve Machined Surface Roughness. International Journal of Precision Engineering and Manufacturing. 19(11). 1611–1618. 15 indexed citations

13.

Feng, Yixuan, Tsung-Pin Hung, Yu-Ting Lu, et al.. (2018). Analytical prediction of temperature in laser-assisted milling with laser preheating and machining effects. The International Journal of Advanced Manufacturing Technology. 100(9-12). 3185–3195. 43 indexed citations

14.

Feng, Yixuan, Yu-Ting Lu, Yu-Fu Lin, et al.. (2018). Inverse analysis of the cutting force in laser-assisted milling on Inconel 718. The International Journal of Advanced Manufacturing Technology. 96(1-4). 905–914. 28 indexed citations

15.

Kao, Yung‐Chou, et al.. (2017). Case study of virtual reality in CNC machine tool exhibition. SHILAP Revista de lepidopterología. 123. 4–4. 9 indexed citations

16.

Pan, Zhipeng, Yixuan Feng, Yu-Ting Lu, et al.. (2017). Force modeling of Inconel 718 laser-assisted end milling under recrystallization effects. The International Journal of Advanced Manufacturing Technology. 92(5-8). 2965–2974. 62 indexed citations

17.

Pan, Zhipeng, Yixuan Feng, Yu-Ting Lu, et al.. (2017). Microstructure-sensitive flow stress modeling for force prediction in laser assisted milling of Inconel 718. Manufacturing Review. 4. 6–6. 21 indexed citations

18.

Pan, Zhipeng, Yu-Ting Lu, Yu-Fu Lin, et al.. (2016). Analytical model for force prediction in laser-assisted milling of IN718. The International Journal of Advanced Manufacturing Technology. 90(9-12). 2935–2942. 19 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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