Chan-Hee Won

40 papers receiving 437 citations

Peers

Chan-Hee Won
Comparison fields: 5 of 78
  • Water Science and Technology 146
  • Industrial and Manufacturing Engineering 53
  • Mechanical Engineering 157
  • Mechanics of Materials 98
  • Health, Toxicology and Mutagenesis 50
Replace Amir Mansouri with:
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Sunel Kumar China
Alireza Azimi Iran
Xianyang Qiu China
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Chan-Hee Won relative to Amir Mansouri United States Amir Mansouri's profile →
Citations per field
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Amir Mansouri · 1×
Citations per year

Countries citing papers authored by Chan-Hee Won

Since Specialization
Citations

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

Fields of papers citing papers by Chan-Hee Won

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chan-Hee Won. 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 Chan-Hee Won. The network helps show where Chan-Hee Won may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200143
2 201134
3 201232
4 201926
5 201823
6 202018
7 201918
8 200916
9 202115
10 200214
11 201713
12 201013
13 202012
14 202212
15 202011
16 202411
17 202010
18 201710
19 20149
20 20188

About Chan-Hee Won

Chan-Hee Won is a scholar working on Water Science and Technology, Mechanics of Materials, Mechanical Engineering, Fluid Flow and Transfer Processes and Industrial and Manufacturing Engineering, having authored 42 papers that have together received 454 indexed citations. Recurring topics across this work include Metallurgy and Material Forming (10 papers), Microstructure and Mechanical Properties of Steels (6 papers), Metal Forming Simulation Techniques (6 papers), Advanced oxidation water treatment (6 papers), Plasma Applications and Diagnostics (4 papers), Minerals Flotation and Separation Techniques (4 papers), Advanced machining processes and optimization (3 papers) and Welding Techniques and Residual Stresses (3 papers). The work is most often cited by research in Water Science and Technology (146 citations), Industrial and Manufacturing Engineering (53 citations), Mechanical Engineering (157 citations), Mechanics of Materials (98 citations) and Health, Toxicology and Mutagenesis (50 citations). Chan-Hee Won has collaborated with scholars based in South Korea, China and United States. Frequent co-authors include Hee‐Jun Kim, Jinwook Chung, Jeong‐Yun Choi, Jonghun Yoon, Hyun‐Woo Kim, Jonghun Yoon, Jong-Guk Kim, Bill Batchelor, Dong-Heui Kwak and Guiping Wu. Their work appears in journals such as The International Journal of Advanced Manufacturing Technology, Materials, Journal of Advanced Joining Processes, International Journal of Precision Engineering and Manufacturing and Korean Journal of Chemical Engineering.

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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