M.C. Kong

24 papers receiving 867 citations

Peers

M.C. Kong
Comparison fields: 5 of 37
  • Ecological Modeling 449
  • Mechanical Engineering 471
  • Biomedical Engineering 481
  • Ocean Engineering 125
  • Computational Mechanics 152
Replace Thai Nguyen with:
Thai Nguyen Australia
A. Alberdi Spain
Frank Pude Germany
Lai Ting Ho Hong Kong
Anupam Agrawal India
Teresa Artaza Spain
Madhulika Srivastava India
Hakan Gürün Türkiye
Anders Wretland Sweden
V.C. Venkatesh Singapore
M.C. Kong relative to Thai Nguyen Australia Thai Nguyen's profile →
Citations per field
00.5×1.5×
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Citations per year

Countries citing papers authored by M.C. Kong

Since Specialization
Citations

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

Fields of papers citing papers by M.C. Kong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside M.C. Kong, 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 M.C. Kong Line = papers co-authored together M.C. Kong links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201090
2 201478
3 200677
4 200970
5 200969
6 201161
7 200857
8 201357
9 201250
10 200850
11 201343
12 200939
13 201132
14 200930
15 201425
16 201219
17 201416
18 20117
19 20164
20 20123

About M.C. Kong

M.C. Kong is a scholar working on Biomedical Engineering, Mechanical Engineering, Ecological Modeling, Computational Mechanics and Civil and Structural Engineering, having authored 25 papers that have together received 883 indexed citations. Recurring topics across this work include Advanced Surface Polishing Techniques (14 papers), Erosion and Abrasive Machining (11 papers), Advanced machining processes and optimization (10 papers), Laser Material Processing Techniques (5 papers), Tunneling and Rock Mechanics (5 papers), Laser-induced spectroscopy and plasma (4 papers), Diamond and Carbon-based Materials Research (3 papers) and Advanced Measurement and Metrology Techniques (3 papers). The work is most often cited by research in Ecological Modeling (449 citations), Mechanical Engineering (471 citations), Biomedical Engineering (481 citations), Ocean Engineering (125 citations) and Computational Mechanics (152 citations). M.C. Kong has collaborated with scholars based in United Kingdom, Hong Kong and Switzerland. Frequent co-authors include Dragoş Axinte, W. Voice, J. Billingham, James Kwong, Saqib Anwar, Paul Butler‐Smith, Suet To, Chi Fai Cheung, Wing Bun Lee and D.S. Srinivasu. Their work appears in journals such as CIRP Annals, International Journal of Machine Tools and Manufacture, Journal of Materials Processing Technology, Proceedings of the Institution of Mechanical Engineers Part B Journal of Engineering Manufacture and Nanomanufacturing and Metrology.

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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