Bubryur Kim

1.5k citations
47 papers · 1.1k · 1 hit paper · h-index 22

Impact in

Papers in

Bubryur Kim

44 papers receiving 1.0k citations

Bubryur Kim's Hit Papers

Surface crack detection using deep learning with shallow CNN architecture for enhanced computation 2021 · 158 citations
1580+1+3Years since publication50100150

Peers

Bubryur Kim
Comparison fields: 5 of 91
  • Environmental Engineering 335
  • Civil and Structural Engineering 421
  • Computational Mechanics 280
  • Building and Construction 98
  • Aerospace Engineering 168
Replace Jianxiao Mao with:
Jianxiao Mao China
Jihao Shi China
Damodar Maity India
Ricky Chan Australia
Wenjie Zhou China
Weijun Wang China
Ning Li China
Hui Qin China
Shin Yee Khoo Malaysia
Bubryur Kim relative to Jianxiao Mao China Jianxiao Mao's profile →
Citations per field
00.5×1.5×1.9×
Jianxiao Mao · 1×
Citations per year

Countries citing papers authored by Bubryur Kim

Since Specialization
Citations

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

Fields of papers citing papers by Bubryur Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Surface crack detection using deep learning with shallow CNN architecture for enhanced computation
Hit paper breakdown →
2021158
2 202470
3 202156
4 202250
5 202148
6 202144
7 202140
8 202140
9 202239
10 202237
11 201836
12 201835
13 201931
14 201930
15 202328
16 202027
17 202125
18 202324
19 202123
20 202121

About Bubryur Kim

Bubryur Kim is a scholar working on Environmental Engineering, Computational Mechanics, Civil and Structural Engineering, Aerospace Engineering and Control and Systems Engineering, having authored 47 papers that have together received 1.1k indexed citations. Recurring topics across this work include Wind and Air Flow Studies (23 papers), Fluid Dynamics and Vibration Analysis (19 papers), Infrastructure Maintenance and Monitoring (12 papers), Structural Health Monitoring Techniques (12 papers), Aerodynamics and Fluid Dynamics Research (9 papers), Concrete Corrosion and Durability (8 papers), Vibration and Dynamic Analysis (6 papers) and Fluid Dynamics and Turbulent Flows (4 papers). The work is most often cited by research in Environmental Engineering (335 citations), Civil and Structural Engineering (421 citations), Computational Mechanics (280 citations), Building and Construction (98 citations) and Aerospace Engineering (168 citations). Bubryur Kim has collaborated with scholars based in South Korea, China and Hong Kong. Frequent co-authors include K. R. Sri Preethaa, Dong‐Eun Lee, N. Yuvaraj, K.T. Tse, Zengshun Chen, Gang Hu, Yuvaraj Natarajan, K.C.S. Kwok, Hyo Seon Park and K.T. Tse. Their work appears in journals such as Journal of Wind Engineering and Industrial Aerodynamics, Sensors, Engineering Structures, Artificial Intelligence Review and Applied Sciences.

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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