Jui‐Pin Hung

887 total citations
51 papers, 665 citations indexed

About

Jui‐Pin Hung is a scholar working on Mechanical Engineering, Biomedical Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Jui‐Pin Hung has authored 51 papers receiving a total of 665 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Mechanical Engineering, 13 papers in Biomedical Engineering and 11 papers in Electrical and Electronic Engineering. Recurrent topics in Jui‐Pin Hung's work include Advanced machining processes and optimization (20 papers), Advanced Measurement and Metrology Techniques (10 papers) and Advanced Machining and Optimization Techniques (9 papers). Jui‐Pin Hung is often cited by papers focused on Advanced machining processes and optimization (20 papers), Advanced Measurement and Metrology Techniques (10 papers) and Advanced Machining and Optimization Techniques (9 papers). Jui‐Pin Hung collaborates with scholars based in Taiwan, Indonesia and United Kingdom. Jui‐Pin Hung's co-authors include James S. Wu, Yuan-Lung Lai, Yung‐Chih Lin, Yin‐Yu Chang, Min‐Yeh Tsai, Cheng‐Chi Wang, Yongjun Chen, Chia‐Jung Chang, Chun‐Yuan Lin and Yu-Sheng Lai and has published in prestigious journals such as SHILAP Revista de lepidopterología, Science Advances and International Journal of Production Research.

In The Last Decade

Jui‐Pin Hung

49 papers receiving 641 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jui‐Pin Hung Taiwan 14 477 128 119 117 115 51 665
Tawfik El-Midany Egypt 12 142 0.3× 143 1.1× 63 0.5× 86 0.7× 27 0.2× 30 433
Ahmad Ghasempoor Canada 8 254 0.5× 64 0.5× 35 0.3× 139 1.2× 56 0.5× 24 413
Ronglei Sun China 14 531 1.1× 37 0.3× 107 0.9× 304 2.6× 309 2.7× 39 672
Mikel Armendia Spain 9 706 1.5× 124 1.0× 159 1.3× 243 2.1× 359 3.1× 19 889
Weidong Zhu China 13 285 0.6× 65 0.5× 106 0.9× 123 1.1× 44 0.4× 36 484
Richard Burguete United Kingdom 14 310 0.6× 239 1.9× 47 0.4× 106 0.9× 48 0.4× 45 772
Tomasz Szolc Poland 13 239 0.5× 68 0.5× 24 0.2× 80 0.7× 42 0.4× 45 464
Haizea González Spain 17 793 1.7× 87 0.7× 193 1.6× 238 2.0× 179 1.6× 56 906
A. Fernández-Valdivielso Spain 15 808 1.7× 139 1.1× 158 1.3× 241 2.1× 408 3.5× 20 901
Mark Noakes United States 15 739 1.5× 50 0.4× 102 0.9× 90 0.8× 18 0.2× 40 930

Countries citing papers authored by Jui‐Pin Hung

Since Specialization
Citations

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

Fields of papers citing papers by Jui‐Pin Hung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jui‐Pin Hung. 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 Jui‐Pin Hung. The network helps show where Jui‐Pin Hung may publish in the future.

Co-authorship network of co-authors of Jui‐Pin Hung

This figure shows the co-authorship network connecting the top 25 collaborators of Jui‐Pin Hung. A scholar is included among the top collaborators of Jui‐Pin Hung 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 Jui‐Pin Hung. Jui‐Pin Hung 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.
Chang, Jinke, Daqian Shi, Lei Wu, et al.. (2025). Piezoelectric nanofiber–based intelligent hearing system. Science Advances. 11(19). eadl2741–eadl2741. 4 indexed citations
2.
Hung, Jui‐Pin, et al.. (2024). Development of Low-cost Wireless Monitoring System and Its Implementation on Computer Numerical Control Machine Tool. Sensors and Materials. 36(3). 957–957. 1 indexed citations
3.
Lai, Yu-Sheng, et al.. (2024). Development of Surface Roughness Prediction and Monitoring System in Milling Process. Engineering Technology & Applied Science Research. 14(1). 12797–12805. 8 indexed citations
4.
5.
Lin, Chien-Yu, et al.. (2022). Modeling the Static and Dynamic Behaviors of a Large Heavy-Duty Lathe Machine under Rated Loads. Computation. 10(12). 207–207. 3 indexed citations
6.
Hung, Jui‐Pin, et al.. (2021). Design of an Affordable IoT-Based Monitoring System for Versatile Application in Machine Tool. v. 76–80. 1 indexed citations
7.
Lin, Yung‐Chih, et al.. (2020). Prediction of Surface Roughness Based on the Machining Conditions with the Effect of Machining Stability. SHILAP Revista de lepidopterología. 14(2). 171–183. 4 indexed citations
8.
Lin, Yung‐Chih, et al.. (2019). Evaluation of the Optimum Machining Stability of a Milling Tool with Different Flutes and Overhangs. SHILAP Revista de lepidopterología. 13(2). 56–64. 1 indexed citations
9.
Hung, Jui‐Pin, et al.. (2019). Investigation of the Dynamic Characteristics and Machining Stability of a Bi-rotary Milling Tool. SHILAP Revista de lepidopterología. 13(1). 14–22. 6 indexed citations
10.
Hung, Jui‐Pin, et al.. (2019). Biomechanical Performance of the Cemented Hip Stem with Different Surface Finish. Applied Sciences. 9(19). 4082–4082. 6 indexed citations
11.
Hung, Jui‐Pin, et al.. (2018). Prediction of the Frequency Response Function of a Tool Holder-Tool Assembly Based on Receptance Coupling Method. Engineering Technology & Applied Science Research. 8(6). 3556–3560. 5 indexed citations
12.
Hung, Jui‐Pin, et al.. (2016). Investigation of the Machining Stability of a Milling Machine with Hybrid Guideway Systems. Applied Sciences. 6(3). 76–76. 6 indexed citations
13.
Tsai, Min‐Yeh, et al.. (2015). Investigation of milling cutting forces and cutting coefficient for aluminum 6060-T6. Computers & Electrical Engineering. 51. 320–330. 38 indexed citations
14.
Hung, Jui‐Pin, et al.. (2014). Analytical and Finite Element Modeling of the Dynamic Characteristics of a Linear Feeding Stage with Different Arrangements of Rolling Guides. Mathematical Problems in Engineering. 2014(1). 5 indexed citations
15.
Hung, Jui‐Pin, et al.. (2014). Variation Of The Dynamic Characteristics Of A Spindle With The Change Of Bearing Preload. Zenodo (CERN European Organization for Nuclear Research). 8(10). 1680–1683. 1 indexed citations
16.
Hung, Jui‐Pin, et al.. (2011). Modeling the machining stability of a vertical milling machine under the influence of the preloaded linear guide. International Journal of Machine Tools and Manufacture. 51(9). 731–739. 75 indexed citations
17.
Lin, Chun‐Yuan, et al.. (2008). Failure Analysis of Reverse Shaft in the Transmission System of All-Terrain Vehicles. Journal of Failure Analysis and Prevention. 8(1). 75–80. 12 indexed citations
18.
Wu, James S., et al.. (2006). Effects of Bone Mineral Fraction and Volume Fraction on the Mechanical Properties of Cortical Bone. Journal of Medical and Biological Engineering. 26(1). 1–7. 7 indexed citations
19.
Hung, Jui‐Pin, et al.. (2004). Computer simulation on fatigue behavior of cemented hip prostheses: a physiological model. Computer Methods and Programs in Biomedicine. 76(2). 103–113. 23 indexed citations
20.
Wu, James S., et al.. (2002). The computer simulation of wear behavior appearing in total hip prosthesis. Computer Methods and Programs in Biomedicine. 70(1). 81–91. 56 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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2026