C.N. Chu

1.2k citations
24 papers · 1.0k · h-index 16

Impact in

Papers in

C.N. Chu

24 papers receiving 955 citations

Peers

C.N. Chu
Comparison fields: 5 of 44
  • Industrial and Manufacturing Engineering 245
  • Mechanical Engineering 851
  • Biomedical Engineering 610
  • Electrical and Electronic Engineering 516
  • Computational Mechanics 179
Replace Brian S. Dutterer with:
Brian S. Dutterer United States
D. Dornfeld United States
Süleyman Yaldız Türkiye
S. G. Kapoor United States
J. Y. Kao Taiwan
Tobias Surmann Germany
Mohammad Malekian Canada
Zhou-Long Li China
G. Barrow United Kingdom
Mahdi Eynian Sweden
C.N. Chu relative to Brian S. Dutterer United States Brian S. Dutterer's profile →
Citations per field
00.5×2.8×
Brian S. Dutterer · 1×
Citations per year

Countries citing papers authored by C.N. Chu

Since Specialization
Citations

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

Fields of papers citing papers by C.N. Chu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by C.N. 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 C.N. Chu. The network helps show where C.N. Chu may publish in the future.

Co-authors

The 22 scholars most cited alongside C.N. Chu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with C.N. Chu Line = papers co-authored together C.N. Chu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005154
2 2000142
3 2003119
4 200698
5 199579
6 199955
7 200653
8 199450
9 199940
10 199734
11 200230
12 201029
13 199925
14 200117
15 199416
16 199415
17 200513
18
Indirect Cutting Force Measurement and Cutting Force Regulation Using Spindle Motor Current
199710
19 200710
20 20136

About C.N. Chu

C.N. Chu is a scholar working on Mechanical Engineering, Electrical and Electronic Engineering, Biomedical Engineering, Materials Chemistry and Mechanics of Materials, having authored 24 papers that have together received 1.0k indexed citations. Recurring topics across this work include Advanced machining processes and optimization (17 papers), Advanced Surface Polishing Techniques (13 papers), Advanced Machining and Optimization Techniques (12 papers), Manufacturing Process and Optimization (3 papers), Metallurgy and Material Forming (2 papers), Thermal Expansion and Ionic Conductivity (1 paper), Microstructure and Mechanical Properties of Steels (1 paper) and Magnetic Bearings and Levitation Dynamics (1 paper). The work is most often cited by research in Industrial and Manufacturing Engineering (245 citations), Mechanical Engineering (851 citations), Biomedical Engineering (610 citations), Electrical and Electronic Engineering (516 citations) and Computational Mechanics (179 citations). C.N. Chu has collaborated with scholars based in South Korea, United States and Indonesia. Frequent co-authors include B.H. Kim, Duck K. Choi, Y.S. Lee, J.M. Lee, Jihye Kim, Won Tae Kwon, Sung Hun Ryu, Hyung-Seop Shin, Sang Youn Kim and S.J. Lee. Their work appears in journals such as CIRP Annals, The International Journal of Advanced Manufacturing Technology, Journal of Engineering Materials and Technology, Computer-Aided Design and International Journal of Machine Tools and Manufacture.

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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