Hyojoo Son

3.7k total citations
66 papers, 2.9k citations indexed

About

Hyojoo Son is a scholar working on Geology, Building and Construction and Civil and Structural Engineering. According to data from OpenAlex, Hyojoo Son has authored 66 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Geology, 21 papers in Building and Construction and 19 papers in Civil and Structural Engineering. Recurrent topics in Hyojoo Son's work include 3D Surveying and Cultural Heritage (29 papers), Infrastructure Maintenance and Monitoring (19 papers) and Remote Sensing and LiDAR Applications (16 papers). Hyojoo Son is often cited by papers focused on 3D Surveying and Cultural Heritage (29 papers), Infrastructure Maintenance and Monitoring (19 papers) and Remote Sensing and LiDAR Applications (16 papers). Hyojoo Son collaborates with scholars based in South Korea, United States and Taiwan. Hyojoo Son's co-authors include Changwan Kim, Changmin Kim, Jui‐Sheng Chou, Hyun‐Chul Choi, Sungwook Lee, Frédéric Bosché, Wai K. Chong, Youngcheol Kang, Yong K. Cho and Hyoungkwan Kim and has published in prestigious journals such as Renewable and Sustainable Energy Reviews, Journal of Cleaner Production and Expert Systems with Applications.

In The Last Decade

Hyojoo Son

65 papers receiving 2.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hyojoo Son South Korea 30 1.2k 1.1k 906 585 522 66 2.9k
Changwan Kim South Korea 38 1.4k 1.1× 1.3k 1.2× 1.0k 1.2× 710 1.2× 594 1.1× 81 3.6k
Lúcio Soibelman United States 36 1.7k 1.4× 595 0.5× 1.0k 1.1× 266 0.5× 571 1.1× 144 4.0k
Juan Manuel Dávila Delgado United Kingdom 24 1.6k 1.3× 392 0.4× 458 0.5× 210 0.4× 446 0.9× 35 3.1k
Chimay Anumba United States 37 2.4k 2.0× 508 0.5× 423 0.5× 228 0.4× 1.2k 2.3× 193 4.4k
Raja R. A. Issa United States 36 3.2k 2.7× 746 0.7× 834 0.9× 235 0.4× 1.9k 3.6× 230 4.5k
Javier Irizarry United States 29 1.8k 1.5× 983 0.9× 515 0.6× 253 0.4× 620 1.2× 100 3.6k
Fan Xue Hong Kong 39 3.0k 2.5× 666 0.6× 616 0.7× 589 1.0× 1.3k 2.5× 133 5.2k
Fernanda Leite United States 29 2.1k 1.8× 795 0.7× 674 0.7× 405 0.7× 792 1.5× 140 3.2k
Muhammad Bilal United Kingdom 31 3.0k 2.6× 333 0.3× 601 0.7× 297 0.5× 1.2k 2.3× 52 4.8k
Feniosky Peña‐Mora United States 39 2.5k 2.1× 1.3k 1.2× 1.2k 1.4× 431 0.7× 1.7k 3.3× 147 5.5k

Countries citing papers authored by Hyojoo Son

Since Specialization
Citations

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

Fields of papers citing papers by Hyojoo Son

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hyojoo Son

This figure shows the co-authorship network connecting the top 25 collaborators of Hyojoo Son. A scholar is included among the top collaborators of Hyojoo Son 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 Hyojoo Son. Hyojoo Son 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
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Son, Hyojoo & Changwan Kim. (2021). Integrated worker detection and tracking for the safe operation of construction machinery. Automation in Construction. 126. 103670–103670. 61 indexed citations
3.
Son, Hyojoo & Changwan Kim. (2018). Evolutionary many-objective optimization for retrofit planning in public buildings: A comparative study. Journal of Cleaner Production. 190. 403–410. 57 indexed citations
4.
Choi, Hyun‐Chul, et al.. (2018). Image-based 3D Building Reconstruction Using A-KAZE Feature Extraction Algorithm. Proceedings of the ... ISARC. 4 indexed citations
5.
Son, Hyojoo, et al.. (2018). A Comparative Study of Machine Learning Classification for Color-based Safety Vest Detection on Construction-Site Images. KSCE Journal of Civil Engineering. 22(11). 4254–4262. 29 indexed citations
6.
Son, Hyojoo, Sungwook Lee, & Changwan Kim. (2016). Automated 3D Model Reconstruction to Support Energy-efficiency. Procedia Engineering. 145. 571–578. 6 indexed citations
7.
Son, Hyojoo & Changwan Kim. (2016). Evolutionary Multi-objective Optimization in Building Retrofit Planning Problem. Procedia Engineering. 145. 565–570. 22 indexed citations
8.
Chou, Jui‐Sheng, et al.. (2015). Cross-country review of smart grid adoption in residential buildings. Renewable and Sustainable Energy Reviews. 48. 192–213. 40 indexed citations
9.
Son, Hyojoo, et al.. (2014). 3D reconstruction of as-built industrial instrumentation models from laser-scan data and a 3D CAD database based on prior knowledge. Automation in Construction. 49. 193–200. 78 indexed citations
10.
Son, Hyojoo & Changwan Kim. (2014). Early prediction of the performance of green building projects using pre-project planning variables: data mining approaches. Journal of Cleaner Production. 109. 144–151. 43 indexed citations
11.
Son, Hyojoo, Sungwook Lee, & Changwan Kim. (2014). What drives the adoption of building information modeling in design organizations? An empirical investigation of the antecedents affecting architects' behavioral intentions. Automation in Construction. 49. 92–99. 180 indexed citations
12.
Kim, Changmin, Hyojoo Son, & Changwan Kim. (2013). Fully automated registration of 3D data to a 3D CAD model for project progress monitoring. Automation in Construction. 35. 587–594. 107 indexed citations
13.
Son, Hyojoo, et al.. (2013). Skeleton-based 3D reconstruction of as-built pipelines from laser-scan data. Automation in Construction. 35. 199–207. 106 indexed citations
14.
Son, Hyojoo, et al.. (2013). Knowledge-Based Approach for 3D Reconstruction of As-Built Industrial Plant Models from Laser-Scan Data. Proceedings of the ... ISARC. 8 indexed citations
15.
Kim, Changmin, et al.. (2012). Automated construction progress measurement using a 4D building information model and 3D data. Automation in Construction. 31. 75–82. 235 indexed citations
16.
Son, Hyojoo, et al.. (2012). Skeleton-Based 3D Reconstruction of As-Built Pipelines from Laser-Scanned Data. 245–252. 9 indexed citations
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Son, Hyojoo, et al.. (2009). Rapid 3D Object Modeling Using 3D Data from Flash LADAR for Automated Construction Equipment Operations. Proceedings of the ... ISARC. 2 indexed citations
20.
Son, Hyojoo, et al.. (2007). Optimization of Heavy Equipment Operations on a Construction Site Using Simulation. Journal of the Korean Society of Civil Engineers. 27. 579–588. 4 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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