Ki-Hoon Shin

900 citations
65 papers · 678 indexed · h-index 13
Topics
Manufacturing Process and Optimization (15 papers)Additive Manufacturing and 3D Printing Technologies (11 papers)Innovations in Concrete and Construction Materials (6 papers)

In The Last Decade

Ki-Hoon Shin

58 papers receiving 633 citations

Peers

Ki-Hoon Shin
Comparison fields: 5 of 74
  • Mechanical Engineering 194
  • Automotive Engineering 183
  • Industrial and Manufacturing Engineering 166
  • Biomedical Engineering 160
  • Electrical and Electronic Engineering 133
Replace Muhammad A. Ali with:
Muhammad A. Ali United Arab Emirates
Taik‐Min Lee South Korea
Jan Ryś Poland
Liane Makatura United States
Zhaoyu Li China
Chao Gao Norway
T.G. Clapp United States
Xuesen Zeng Australia
Ce Shang China
Ki-Hoon Shin relative to Muhammad A. Ali United Arab Emirates Muhammad A. Ali's profile →
Citations per field
00.5×4.3×
Muhammad A. Ali · 1×
Citations per year

Countries citing papers authored by Ki-Hoon Shin

Since Specialization
Citations

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

Fields of papers citing papers by Ki-Hoon Shin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ki-Hoon Shin. 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 Ki-Hoon Shin. The network helps show where Ki-Hoon Shin may publish in the future.

Co-authorship network of co-authors of Ki-Hoon Shin

This figure shows the co-authorship network connecting the top 25 collaborators of Ki-Hoon Shin. A scholar is included among the top collaborators of Ki-Hoon Shin 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 Ki-Hoon Shin. Ki-Hoon Shin 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
#WorkIndexed citations
1 7
2 1
3 7
4 1
5 4
6 13
7 0
8 9
9 6
10 29
11 6
12 1
13 2
14 21
15 9
16 3
17 2
18 1
19
Modeling of non-individualized head-related transfer functions for nearby sources
1
20
Representation and process planning for layered manufacturing of heterogeneous objects.
18

About Ki-Hoon Shin

Ki-Hoon Shin is a scholar working on Industrial and Manufacturing Engineering, Automotive Engineering and Polymers and Plastics, having authored 65 papers that have together received 678 indexed citations. Recurring topics across this work include Manufacturing Process and Optimization (15 papers), Additive Manufacturing and 3D Printing Technologies (11 papers) and Innovations in Concrete and Construction Materials (6 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (166 citations), Automotive Engineering (183 citations) and Computer Graphics and Computer-Aided Design (37 citations). Ki-Hoon Shin has collaborated with scholars based in South Korea, United States and Pakistan. Frequent co-authors include Debasish Dutta, Jung Inn Sohn, Harshad Natu, Jyotirmoy Mazumder, Puran Pandey, Hong Seok Kim, Gunendra Prasad Ojha, Sang‐Woo Kim, Woong‐Ki Hong and Keshav Thapa. Their work appears in journals such as Advanced Materials, Advanced Functional Materials and Advanced Energy Materials.

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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