Youngcheol Kang

1.3k total citations
51 papers, 961 citations indexed

About

Youngcheol Kang is a scholar working on Management Science and Operations Research, Building and Construction and Radiological and Ultrasound Technology. According to data from OpenAlex, Youngcheol Kang has authored 51 papers receiving a total of 961 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Management Science and Operations Research, 16 papers in Building and Construction and 13 papers in Radiological and Ultrasound Technology. Recurrent topics in Youngcheol Kang's work include Construction Project Management and Performance (24 papers), Occupational Health and Safety Research (13 papers) and BIM and Construction Integration (12 papers). Youngcheol Kang is often cited by papers focused on Construction Project Management and Performance (24 papers), Occupational Health and Safety Research (13 papers) and BIM and Construction Integration (12 papers). Youngcheol Kang collaborates with scholars based in South Korea, United States and Australia. Youngcheol Kang's co-authors include Changwan Kim, William J. O’Brien, Irtishad Ahmad, Sung Joon Suk, Seokho Chi, Stephen P. Mulva, Hyojoo Son, Changmin Kim, James T. O’Connor and Robert E. Chapman and has published in prestigious journals such as Automation in Construction, International Journal of Project Management and Safety Science.

In The Last Decade

Youngcheol Kang

48 papers receiving 935 citations

Peers

Youngcheol Kang

MSOR

RUT

SPU

Ren‐Jye Dzeng Taiwan

Yehiel Rosenfeld Israel

Seungjun Ahn South Korea

Sevilay Demirkesen Türkiye

Stuart D. Anderson United States

Timothy M. Rose Australia

Ali A. Karakhan United States

Ronen Barak Israel

Paul M. Goodrum United States

Saad H.S. Al-Jibouri Netherlands

Ren‐Jye Dzeng Taiwan

Youngcheol Kang

320 ×0.8

MSOR

400 ×1.0

328 ×1.1

RUT

188 ×1.3

98 ×0.7

SPU

Citations per year, relative to Youngcheol Kang Youngcheol Kang (= 1×) peers Ren‐Jye Dzeng

Countries citing papers authored by Youngcheol Kang

Since Specialization

Citations

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

Fields of papers citing papers by Youngcheol Kang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Youngcheol Kang

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

All Works

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20 of 20 papers shown

Kang, Youngcheol, et al.. (2025). Auto-summarization of the texts of construction dispute precedents. Advanced Engineering Informatics. 65. 103381–103381. 1 indexed citations

Xu, Min, Youngcheol Kang, Ying Wang, et al.. (2025). Characterization of Key Aroma Compounds in Dongpo Pork Dish and Their Dynamic Changes During Storage. Foods. 14(7). 1084–1084.

Hwang, Sungjoo, et al.. (2024). Measuring Habituation to Auditory Warnings Using Behavioral and Physiological Data. Journal of Construction Engineering and Management. 150(7). 6 indexed citations

Hwang, Sungjoo, et al.. (2024). Effectiveness of alarm sounds in preventing operator habituation to auditory warnings in construction equipment. Automation in Construction. 168. 105784–105784. 2 indexed citations

Kang, Youngcheol, et al.. (2024). AI model for analyzing construction litigation precedents to support decision-making. Automation in Construction. 168. 105824–105824. 2 indexed citations

Kim, Taeeun, et al.. (2024). Assessing human emotional experience in pedestrian environments using wearable sensing and machine learning with anomaly detection. Transportation Research Part F Traffic Psychology and Behaviour. 109. 540–555. 3 indexed citations

Kang, Sanghyeok, et al.. (2023). Long-term Trends in Construction Engineering and Management Research in Korea. KSCE Journal of Civil Engineering. 27(5). 1883–1897. 4 indexed citations

Han, SangUk, et al.. (2021). Affinity Analysis Between Factors of Fatal Occupational Accidents in Construction Using Data Mining Techniques. Korean Journal of Construction Engineering and Management. 22(5). 29–38. 3 indexed citations

Hwang, Sungjoo, et al.. (2021). Relationship between rework of engineering drawing tasks and stress level measured from physiological signals. Automation in Construction. 124. 103560–103560. 33 indexed citations

10.

Jeong, Hae‐Kwon, et al.. (2020). Evaluating Contractors’ Production Performance in Highway Projects Using Historical Daily Work Report Data. Journal of Management in Engineering. 36(3). 18 indexed citations

11.

Song, Hayeon, et al.. (2020). Effectiveness of VR crane training with head-mounted display: Double mediation of presence and perceived usefulness. Automation in Construction. 122. 103506–103506. 65 indexed citations

12.

Kang, Youngcheol, et al.. (2018). Construction Management Functions for Developing Countries: Case of Cambodia. Journal of Management in Engineering. 34(3). 26 indexed citations

13.

Son, Hyojoo, Changmin Kim, Changwan Kim, & Youngcheol Kang. (2015). PREDICTION OF GOVERNMENT-OWNED BUILDING ENERGY CONSUMPTION BASED ON AN RRELIEFF AND SUPPORT VECTOR MACHINE MODEL. Journal of Civil Engineering and Management. 21(6). 748–760. 17 indexed citations

14.

Yun, Sungmin, et al.. (2015). A multi-perspective assessment method for measuring leading indicatiors in capital project benchmarking. Open Collections. 2 indexed citations

15.

Kang, Youngcheol, et al.. (2014). The 10-10 Performance Assessment Campaign: New Theories Regarding the Benchmarking of Capital Project Performance. 2335–2344. 6 indexed citations

16.

Kang, Youngcheol, et al.. (2014). Factors Influencing Integrated Project Delivery in Publicly Owned Construction Projects: An Information Modelling Perspective. Procedia Engineering. 77. 213–221. 74 indexed citations

17.

Kang, Youngcheol, et al.. (2014). The 10-10 Performance Assessment Campaign: New Theories Regarding the Benchmarking of Capital Project Performance. Construction Research Congress 2014. 2335–2344. 4 indexed citations

18.

Kang, Youngcheol, William J. O’Brien, & Stephen P. Mulva. (2013). Value of IT: Indirect impact of IT on construction project performance via Best Practices. Automation in Construction. 35. 383–396. 26 indexed citations

19.

Chi, Seokho, et al.. (2012). Development of a data mining-based analysis framework for multi-attribute construction project information. Advanced Engineering Informatics. 26(3). 574–581.

20.

Kang, Youngcheol, William J. O’Brien, Stephen P. Thomas, & Robert E. Chapman. (2008). Impact of Information Technologies on Performance: Cross Study Comparison. Journal of Construction Engineering and Management. 134(11). 852–863. 42 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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