Chong-Nam Chu

1.9k total citations · 1 hit paper
26 papers, 1.4k citations indexed

About

Chong-Nam Chu is a scholar working on Mechanical Engineering, Electrical and Electronic Engineering and Biomedical Engineering. According to data from OpenAlex, Chong-Nam Chu has authored 26 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Mechanical Engineering, 13 papers in Electrical and Electronic Engineering and 13 papers in Biomedical Engineering. Recurrent topics in Chong-Nam Chu's work include Advanced machining processes and optimization (13 papers), Advanced Machining and Optimization Techniques (12 papers) and Advanced Surface Polishing Techniques (9 papers). Chong-Nam Chu is often cited by papers focused on Advanced machining processes and optimization (13 papers), Advanced Machining and Optimization Techniques (12 papers) and Advanced Surface Polishing Techniques (9 papers). Chong-Nam Chu collaborates with scholars based in United States and South Korea. Chong-Nam Chu's co-authors include R.L. Kashyap, Gwang-Pil Jung, Kyu‐Jin Cho, Victor B. Kreng, C. R. Liu, Bo‐Hyun Kim, Minsoo Park, Dong-Woo Seo, Kyo-in Koo and Sungho Jeong and has published in prestigious journals such as IEEE Transactions on Robotics, CIRP Annals and The International Journal of Advanced Manufacturing Technology.

In The Last Decade

Chong-Nam Chu

20 papers receiving 1.3k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Building Skeleton Models via 3-D Medial Surface Axis Thinning Algorithms

1994 1.1k citations R.L. Kashyap, Chong-Nam Chu et al. profile →

Peers

Chong-Nam Chu

BE

CVPR

ME

RNMI

PRM

Lianghao Han United Kingdom

Guokai Zhang China

Qiao Hu China

Tait S. Smith United States

Leanne Bischof Australia

Paul F. Whelan Ireland

Andrew Harrison United Kingdom

Xiufen Ye China

Kari Saarinen Finland

Franco Docchio Italy

Lianghao Han United Kingdom

Chong-Nam Chu

304 ×0.9

BE

164 ×0.5

CVPR

280 ×1.1

ME

285 ×1.5

RNMI

85 ×0.7

PRM

Citations per year, relative to Chong-Nam Chu Chong-Nam Chu (= 1×) peers Lianghao Han

Countries citing papers authored by Chong-Nam Chu

Since Specialization

Citations

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

Fields of papers citing papers by Chong-Nam Chu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chong-Nam Chu. 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 Chong-Nam Chu. The network helps show where Chong-Nam Chu may publish in the future.

Co-authorship network of co-authors of Chong-Nam Chu

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Shin, Minchul, et al.. (2019). Performance of a TR-iso-pulse generator in micro ED-drilling. Precision Engineering. 56. 438–446. 5 indexed citations

2.

Chu, Chong-Nam, et al.. (2018). Machining Characteristics of an RC-type Generator Circuit With an N-channel MOSFET in Micro EDM. Procedia CIRP. 68. 631–636. 6 indexed citations

3.

Chu, Chong-Nam, et al.. (2018). The Effects of Graphite Powder on Tool Wear in Micro Electrical Discharge Machining. Procedia CIRP. 68. 553–558. 18 indexed citations

4.

Jung, Gwang-Pil, et al.. (2014). Wheel Transformer: A Wheel-Leg Hybrid Robot With Passive Transformable Wheels. IEEE Transactions on Robotics. 30(6). 1487–1498. 152 indexed citations

5.

Kim, Bo‐Hyun, et al.. (2011). Fabrication of PCD Micro Tool and its Hybrid Micro Machining. Journal of the Korean Society for Precision Engineering. 28(6). 694–700. 2 indexed citations

6.

Kim, Bo‐Hyun, et al.. (2009). Micromachining Using Hybrid of Laser Beam and Electrical Discharge Machining. Journal of the Korean Society for Precision Engineering. 26(10). 108–115. 3 indexed citations

7.

Song, Ki‐Young, et al.. (2009). ED-drilling of WC-Co to Minimize Electrolytic Corrosion on a Workpiece Surface. Journal of the Korean Society for Precision Engineering. 26(8). 47–54. 2 indexed citations

8.

Lee, Kang-In, et al.. (2009). Comparison between CFD Analysis and Experiments According to Various PEMFC Flow-field Designs. Journal of the Korean Electrochemical Society. 12(1). 61–67. 2 indexed citations

9.

Seo, Dong-Woo, et al.. (2007). Machining Characteristics of Micro-EDMed Holes According to Dielectric Fluid, Capacitance and Ultrasonic Vibrations. Journal of the Korean Society for Precision Engineering. 24(12). 42–49. 6 indexed citations

10.

Koo, Kyo-in, et al.. (2007). A Novel Micro-Biopsy Actuator for Capsular Endoscope using LIGA Process. TRANSDUCERS 2007 - 2007 International Solid-State Sensors, Actuators and Microsystems Conference. 209–212. 5 indexed citations

11.

Kim, Duck-Hwan, et al.. (2007). Roundness Improvement and Exit Crack Prevention in Micro-USM of Soda-Lime Glass. Transactions of the Korean Society of Mechanical Engineers A. 31(10). 1039–1045. 1 indexed citations

12.

Chu, Chong-Nam, et al.. (2006). Micro Machining by EDM and ECM. Journal of the Korean Society for Precision Engineering. 23(10). 52–59. 4 indexed citations

13.

Chu, Chong-Nam, et al.. (2003). CAD/CAM integration via skeleton-based modeling. 7–12. 2 indexed citations

14.

Chu, Chong-Nam, et al.. (2002). Three-dimensional net shape analysis for manufacturability evaluation. 17. 715–720.

15.

Kim, Bo‐Hyun, et al.. (1999). Machining Rate and Electrode Wear Characteristics in Micro-EDM of Micro-Holes. Journal of the Korean Society for Precision Engineering. 16(10). 94–100. 4 indexed citations

16.

Kreng, Victor B., C. R. Liu, & Chong-Nam Chu. (1994). A kinematic model for machine tool accuracy characterisation. The International Journal of Advanced Manufacturing Technology. 9(2). 79–86. 29 indexed citations

17.

Chu, Chong-Nam, et al.. (1991). Symbolic representation of three-dimensional objects to aid local and global shape analysis for defect prediction of casting design. Applied Intelligence. 1(2). 99–120. 3 indexed citations

18.

Chu, Chong-Nam, et al.. (1989). Expert system for castability evaluation: Using a fixed-features based design approach. Robotics and Computer-Integrated Manufacturing. 6(3). 181–189. 10 indexed citations

19.

Johnson, W., Srinivasan Chandrasekar, & Chong-Nam Chu. (1988). Plastic torsion of prismatic metal bars—mainly in respect of length changes: A review. Journal of Mechanical Working Technology. 16(1). 79–92. 2 indexed citations

20.

Chu, Chong-Nam, Nannaji Saka, & Nam P. Suh. (1987). IMPINGEMENT CASTING PROCESS: TURBULENT MIXING IN AN IMPINGEMENT MIXER. 2(3-4). 233–258.

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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