Jung-Ho Yu

1.9k total citations
82 papers, 1.5k citations indexed

About

Jung-Ho Yu is a scholar working on Building and Construction, Management Science and Operations Research and Civil and Structural Engineering. According to data from OpenAlex, Jung-Ho Yu has authored 82 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Building and Construction, 27 papers in Management Science and Operations Research and 12 papers in Civil and Structural Engineering. Recurrent topics in Jung-Ho Yu's work include BIM and Construction Integration (46 papers), Construction Project Management and Performance (23 papers) and Technology Adoption and User Behaviour (11 papers). Jung-Ho Yu is often cited by papers focused on BIM and Construction Integration (46 papers), Construction Project Management and Performance (23 papers) and Technology Adoption and User Behaviour (11 papers). Jung-Ho Yu collaborates with scholars based in South Korea, Hong Kong and United States. Jung-Ho Yu's co-authors include Seulki Lee, Seulki Lee, Seulki Lee, H. David Jeong, Karam Kim, Chang Deok Kim, Hyunsoo Lee, Inhan Kim, Hyunjoo Kim and Wooyoung Kim and has published in prestigious journals such as Journal of the Operational Research Society, Sustainability and Automation in Construction.

In The Last Decade

Jung-Ho Yu

71 papers receiving 1.4k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jung-Ho Yu South Korea 19 1.0k 651 254 244 193 82 1.5k
Mustafa Alshawi United Kingdom 17 917 0.9× 582 0.9× 137 0.5× 186 0.8× 156 0.8× 57 1.3k
Kirti Ruikar United Kingdom 21 802 0.8× 603 0.9× 164 0.6× 134 0.5× 152 0.8× 78 1.3k
Eleni Papadonikolaki United Kingdom 23 1.3k 1.3× 1.0k 1.6× 237 0.9× 173 0.7× 248 1.3× 81 2.2k
Pardis Pishdad-Bozorgi United States 18 1.2k 1.2× 502 0.8× 334 1.3× 406 1.7× 233 1.2× 42 1.7k
H. Ping Tserng Taiwan 22 755 0.7× 694 1.1× 199 0.8× 92 0.4× 76 0.4× 90 1.7k
Arto Kiviniemi United Kingdom 21 1.1k 1.1× 600 0.9× 300 1.2× 315 1.3× 188 1.0× 46 1.4k
Sheryl Staub‐French Canada 26 1.6k 1.5× 770 1.2× 364 1.4× 438 1.8× 269 1.4× 75 1.9k
Bhargav Dave Finland 18 1.3k 1.2× 878 1.3× 161 0.6× 225 0.9× 160 0.8× 42 1.7k
Tayyab Maqsood Australia 23 1.3k 1.2× 805 1.2× 258 1.0× 195 0.8× 141 0.7× 100 1.9k
Idris Othman Malaysia 31 1.6k 1.5× 1.2k 1.8× 352 1.4× 165 0.7× 262 1.4× 104 2.6k

Countries citing papers authored by Jung-Ho Yu

Since Specialization
Citations

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

Fields of papers citing papers by Jung-Ho Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jung-Ho Yu. 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 Jung-Ho Yu. The network helps show where Jung-Ho Yu may publish in the future.

Co-authorship network of co-authors of Jung-Ho Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Jung-Ho Yu. A scholar is included among the top collaborators of Jung-Ho Yu 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 Jung-Ho Yu. Jung-Ho Yu 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
1.
Lee, Seulki & Jung-Ho Yu. (2023). Ontological inference process using AI-based object recognition for hazard awareness in construction sites. Automation in Construction. 153. 104961–104961. 19 indexed citations
2.
Yu, Jung-Ho, et al.. (2023). Comparative Study on BIM Acceptance Model by Adoption Period. Buildings. 13(6). 1450–1450. 3 indexed citations
3.
Lee, Kangwook, et al.. (2019). Preliminary Analysis of the Bid Success Ratio according to the Characteristics of Overseas Construction Projects. Korean Journal of Construction Engineering and Management. 20(3). 122–133.
4.
Lee, Seulki, et al.. (2019). A Method for Detecting Concrete Cracks using Deep-Learning and Image Processing. Journal of the Architectural Institute of Korea Structure & Construction. 35(11). 163–170. 6 indexed citations
5.
Lee, Seulki, et al.. (2019). Acceptance Model for Mobile Building Information Modeling (BIM). Applied Sciences. 9(18). 3668–3668. 10 indexed citations
6.
Yu, Jung-Ho, et al.. (2017). Analysis of Factors Affecting Job Competency of Quality Management for a Construction Manager. Korean Journal of Construction Engineering and Management. 18(1). 65–73.
7.
Yu, Jung-Ho, et al.. (2017). Improvement Plan of Fugitive Dust Regulations in Construction Site. Korean Journal of Construction Engineering and Management. 18(5). 68–76.
8.
Yu, Jung-Ho, et al.. (2012). Forecasting Methods for Monthly Expenditures by Monte-Carlo Simulation - Focused on Apartment Housing Project -. Journal of the Architectural Institute of Korea Structure & Construction. 28(11). 149–156. 1 indexed citations
9.
Lee, Seulki, et al.. (2012). Information Requirements Analysis for BIM-based Facility Management Systems. Journal of the architectural institute of Korea planning & design. 28(11). 133–142. 2 indexed citations
10.
Yu, Jung-Ho, et al.. (2012). A Method for Extracting Geometry Data from IFC File for Building Energy Load Analysis. Journal of the architectural institute of Korea planning & design. 28(5). 241–248. 1 indexed citations
11.
Yu, Jung-Ho, et al.. (2012). Concurrent Data Collection Method for Building Energy Analysis Using Project Temporary Database. Construction Research Congress 2012. 668–677. 2 indexed citations
12.
Lee, Seulki & Jung-Ho Yu. (2012). Success model of project management information system in construction. Automation in Construction. 25. 82–93. 83 indexed citations
13.
Yu, Jung-Ho, et al.. (2009). Work Condition Analysis Process for Improving Reliability of Work Plan. Korean Journal of Construction Engineering and Management. 10(1). 36–44.
14.
Lee, Seulki, et al.. (2009). Analysis of Conflict Cases in Urban Regeneration Projects. Korean Journal of Construction Engineering and Management. 10(6). 78–87. 3 indexed citations
15.
Yu, Jung-Ho, et al.. (2009). Key Management Factors Considering Characteristic of Urban Regeneration Project. Journal of the Architectural Institute of Korea. 25(7). 219–228. 1 indexed citations
16.
Kim, Chang Deok, et al.. (2008). Efficiency Analysis for RFID-based Curtain Wall of Unit Type Construction. Korean Journal of Construction Engineering and Management. 9(3). 206–213. 1 indexed citations
17.
Yu, Jung-Ho, et al.. (2008). Construction Safety Management Using FMEA Technique for Selecting Priority order. Korean Journal of Construction Engineering and Management. 9(6). 185–193. 5 indexed citations
18.
Yu, Jung-Ho, et al.. (2007). An Analysis on Work Delay Factors in Apartment House Construction. Korean Journal of Construction Engineering and Management. 8(6). 159–166. 1 indexed citations
19.
Jung, Jaehun, et al.. (2006). Calculation of Non-Working Days due to Weather Factors during Structural Steel Works. Korean Journal of Construction Engineering and Management. 7(4). 137–145. 1 indexed citations
20.
Yu, Jung-Ho, et al.. (2006). The Schema of Work Delay Analysis by Input Factor in Construction. Journal of the Architectural Institute of Korea Structure & Construction. 22(11). 181–188. 1 indexed citations

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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