Soojin Cho

4.2k citations
103 papers · 3.2k indexed · 2 hit papers · h-index 30

Soojin Cho

92 papers receiving 3.1k citations

Hit Papers

Image‐based concrete crack assessment using mask and regi...230201820262020202350100150200

Peers

Soojin Cho
Comparison fields: 5 of 123
  • Civil and Structural Engineering 2.4k
  • Geology 340
  • Developmental and Educational Psychology 237
  • Cognitive Neuroscience 356
  • Discrete Mathematics and Combinatorics 57
Replace Eugene J. OBrien with:
Eugene J. OBrien Ireland
Alfonso García-Cerezo Spain
Miha Boltežar Slovenia
Yun Liu China
Tiziana D’Orazio Italy
Ye Xia China
Guijin Wang China
Pier Luigi Mazzeo Italy
Alberto Ortiz Spain
Juan P. Amézquita-Sánchez Mexico
Soojin Cho relative to Eugene J. OBrien Ireland Eugene J. OBrien's profile →
Citations per field
00.5×4.5×
Eugene J. OBrien · 1×
Citations per year

Countries citing papers authored by Soojin Cho

Since Specialization
Citations

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

Fields of papers citing papers by Soojin Cho

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20252
3 20244
4 20230
5 20228
6 202066
7 20191
8
Image‐based concrete crack assessment using mask and region‐based convolutional neural networkbreakdown →
2019230
9 20191
10 20190
11
Automated Vision-Based Detection of Cracks on Concrete Surfaces Using a Deep Learning Techniquebreakdown →
2018244
12 20188
13 201634
14 201413
15 20126
16 20102
17 200759
18 20076
19
Major Index for Standard Young Tableaux.
20040
20 19985

About Soojin Cho

Soojin Cho is a scholar working on Discrete Mathematics and Combinatorics, Civil and Structural Engineering and Algebra and Number Theory, having authored 103 papers that have together received 3.2k indexed citations. Recurring topics across this work include Structural Health Monitoring Techniques (41 papers), Infrastructure Maintenance and Monitoring (28 papers), Advanced Combinatorial Mathematics (17 papers), Structural Engineering and Vibration Analysis (16 papers), Concrete Corrosion and Durability (15 papers), Algebraic structures and combinatorial models (12 papers), Advanced Fiber Optic Sensors (9 papers) and Ultrasonics and Acoustic Wave Propagation (8 papers). The work is most often cited by research in Civil and Structural Engineering (2.4k citations), Geology (340 citations) and Developmental and Educational Psychology (237 citations). Soojin Cho has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Byunghyun Kim, Sung‐Han Sim, Chung‐Bang Yun, Billie F. Spencer, Hyung‐Jo Jung, Hyunjun Kim, Junhwa Lee, Hongki Jo, B. F. Spencer and Eunjong Ahn. Their work appears in journals such as SHILAP Revista de lepidopterología, Cement and Concrete Research and Expert Systems with Applications.

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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