Wooram Choi

5.5k citations
6 papers · 4.4k indexed · 3 hit papers · h-index 5
Topics
Infrastructure Maintenance and Monitoring (4 papers)Structural Health Monitoring Techniques (2 papers)Non-Destructive Testing Techniques (2 papers)

In The Last Decade

Wooram Choi

6 papers receiving 4.3k citations

Hit Papers

Deep Learning‐Based Crack Damage Detection Using Convolut...201720262020202320172017201950010001.5k2.0k

Peers

Wooram Choi
Comparison fields: 5 of 107
  • Civil and Structural Engineering 3.6k
  • Mechanical Engineering 1.2k
  • Industrial and Manufacturing Engineering 709
  • Computer Vision and Pattern Recognition 487
  • Ocean Engineering 475
Replace Mohammad R. Jahanshahi with:
Mohammad R. Jahanshahi United States
Kelvin C. P. Wang United States
Young‐Jin Cha Canada
Allen Zhang China
F. Necati Çatbaş United States
Hyung‐Jo Jung South Korea
Christian Koch Germany
Sung‐Han Sim South Korea
Ayan Sadhu Canada
Wooram Choi relative to Mohammad R. Jahanshahi United States Mohammad R. Jahanshahi's profile →
Citations per field
00.5×1.7×
Mohammad R. Jahanshahi · 1×
Citations per year

Countries citing papers authored by Wooram Choi

Since Specialization
Citations

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

Fields of papers citing papers by Wooram Choi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wooram Choi. 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 Wooram Choi. The network helps show where Wooram Choi may publish in the future.

Co-authorship network of co-authors of Wooram Choi

This figure shows the co-authorship network connecting the top 25 collaborators of Wooram Choi. A scholar is included among the top collaborators of Wooram Choi 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 Wooram Choi. Wooram Choi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

6 of 6 papers shown
#WorkIndexed citations
1
SDDNet: Real-Time Crack Segmentationbreakdown →
343
2 139
3
Deep Learning‐Based Crack Damage Detection Using Convolutional Neural Networksbreakdown →
2429
4
Autonomous Structural Visual Inspection Using Region‐Based Deep Learning for Detecting Multiple Damage Typesbreakdown →
1224
5 252
6
STR-906: COMPUTER-IMAGE-BASED LOOSENED BOLT DETECTION USING SUPPORT VECTOR MACHINES
1

About Wooram Choi

Wooram Choi is a scholar working on Media Technology, Civil and Structural Engineering and Computer Vision and Pattern Recognition, having authored 6 papers that have together received 4.4k indexed citations. Recurring topics across this work include Infrastructure Maintenance and Monitoring (4 papers), Structural Health Monitoring Techniques (2 papers) and Non-Destructive Testing Techniques (2 papers). The work is most often cited by research in Civil and Structural Engineering (3.6k citations), Geology (424 citations) and Industrial and Manufacturing Engineering (709 citations). Wooram Choi has collaborated with scholars based in Canada, United States and South Korea. Frequent co-authors include Young‐Jin Cha, Oral Büyüköztürk and Kisung You. Their work appears in journals such as IEEE Transactions on Industrial Electronics, Automation in Construction and Computer-Aided Civil and Infrastructure 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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