Chul‐Woo Kim

2.7k citations
113 papers · 2.0k indexed · h-index 29
Topics
Structural Health Monitoring Techniques (85 papers)Infrastructure Maintenance and Monitoring (60 papers)Railway Engineering and Dynamics (35 papers)
Partner nations
JapanUnited KingdomChina

In The Last Decade

Chul‐Woo Kim

103 papers receiving 1.9k citations

Peers

Chul‐Woo Kim
Comparison fields: 5 of 89
  • Civil and Structural Engineering 1.6k
  • Mechanical Engineering 706
  • Mechanics of Materials 337
  • Control and Systems Engineering 124
  • Statistics, Probability and Uncertainty 122
Replace Charalampos Baniotopoulos with:
Charalampos Baniotopoulos United Kingdom
Aiqun Li China
Patrick Paultre Canada
Hosein Naderpour Iran
Yiannis Tsompanakis Greece
Pennung Warnitchai Thailand
A. Emin Aktan United States
You‐Wu Wang Hong Kong
Anastasios Sextos United Kingdom
Nicholas A Alexander United Kingdom
Chul‐Woo Kim relative to Charalampos Baniotopoulos United Kingdom Charalampos Baniotopoulos's profile →
Citations per field
00.5×1.7×
Charalampos Baniotopoulos · 1×
Citations per year

Countries citing papers authored by Chul‐Woo Kim

Since Specialization
Citations

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

Fields of papers citing papers by Chul‐Woo Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chul‐Woo Kim. 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 Chul‐Woo Kim. The network helps show where Chul‐Woo Kim may publish in the future.

Co-authorship network of co-authors of Chul‐Woo Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Chul‐Woo Kim. A scholar is included among the top collaborators of Chul‐Woo Kim 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 Chul‐Woo Kim. Chul‐Woo Kim 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 1
2 2
3 1
4 0
5 6
6 5
7 0
8 6
9 2
10 2
11 38
12 12
13 48
14 14
15 5
16
Utilizing Moving Vehicles as Sensors for Bridge Condition Screening – A Laboratory Verification
30
17 1
18 1
19 0
20 2

About Chul‐Woo Kim

Chul‐Woo Kim is a scholar working on Civil and Structural Engineering, Mechanical Engineering and Statistics, Probability and Uncertainty, having authored 113 papers that have together received 2.0k indexed citations. Recurring topics across this work include Structural Health Monitoring Techniques (85 papers), Infrastructure Maintenance and Monitoring (60 papers) and Railway Engineering and Dynamics (35 papers). The work is most often cited by research in Civil and Structural Engineering (1.6k citations), General Engineering (26 citations) and Mechanical Engineering (706 citations). Chul‐Woo Kim has collaborated with scholars based in Japan, United Kingdom and China. Frequent co-authors include K. C. Chang, Mitsuo Kawatani, Patrick McGetrick, Eugene J. OBrien, Yi Zhang, Feng‐Liang Zhang, Kong Fah Tee, Mehrisadat Makki Alamdari, Chengjun Tan and Nasim Uddin. Their work appears in journals such as Journal of Cleaner Production, Scientific Reports and Computer Methods in Applied Mechanics and 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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