Do Hyoung Shin

1.1k citations
43 papers · 802 indexed · h-index 16
Topics
Structural Health Monitoring Techniques (11 papers)Infrastructure Maintenance and Monitoring (10 papers)BIM and Construction Integration (9 papers)
Partner nations
South KoreaUnited States

In The Last Decade

Do Hyoung Shin

42 papers receiving 763 citations

Peers

Do Hyoung Shin
Comparison fields: 5 of 91
  • Civil and Structural Engineering 250
  • Building and Construction 223
  • Computer Vision and Pattern Recognition 221
  • Geology 148
  • Management Science and Operations Research 84
Replace Vahid Balali with:
Vahid Balali United States
Meng‐Han Tsai Taiwan
Ali Motamedi Canada
Faridaddin Vahdatikhaki Netherlands
Min Hu China
Cheng Zhang China
Zhigang Shen United States
Benachir Medjdoub United Kingdom
Seongdeok Bang South Korea
Chenxi Yuan United States
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Citations per field
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Countries citing papers authored by Do Hyoung Shin

Since Specialization
Citations

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

Fields of papers citing papers by Do Hyoung Shin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Do Hyoung 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 Do Hyoung Shin. The network helps show where Do Hyoung Shin may publish in the future.

Co-authorship network of co-authors of Do Hyoung Shin

This figure shows the co-authorship network connecting the top 25 collaborators of Do Hyoung Shin. A scholar is included among the top collaborators of Do Hyoung 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 Do Hyoung Shin. Do Hyoung 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 9
2 2
3 39
4 36
5
Generative Model of Acceleration Data for Deep Learning-based Damage Detection for Bridges Using Generative Adversarial Network
5
6 7
7 23
8 8
9 4
10 3
11 2
12 54
13 1
14
The Integrated Management System (Fims) for the Four Major Rivers Restoration Project in South Korea
1
15
CAMERA CONSTRAINT ON MULTI-RANGE CALIBRATION OF AUGMENTED REALITY SYSTEMS FOR CONSTRUCTION SITES
4
16 80
17 122
18 1
19 13
20 8

About Do Hyoung Shin

Do Hyoung Shin is a scholar working on Geology, Building and Construction and Civil and Structural Engineering, having authored 43 papers that have together received 802 indexed citations. Recurring topics across this work include Structural Health Monitoring Techniques (11 papers), Infrastructure Maintenance and Monitoring (10 papers) and BIM and Construction Integration (9 papers). The work is most often cited by research in Geology (148 citations), Building and Construction (223 citations) and Human-Computer Interaction (71 citations). Do Hyoung Shin has collaborated with scholars based in South Korea and United States. Frequent co-authors include Phillip S. Dunston, Seunghoo Jeong, Seungjun Kim, Sung‐Han Sim, Won‐Suk Jang, Sangwook Lee, Sangyoub Lee, Han‐Soo Kim, Xiangyu Wang and Hung Soo Kim. Their work appears in journals such as Sensors, Automation in Construction and Human Genetics.

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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