Choongwan Koo

4.8k total citations · 1 hit paper
131 papers, 4.0k citations indexed

About

Choongwan Koo is a scholar working on Building and Construction, Environmental Engineering and Renewable Energy, Sustainability and the Environment. According to data from OpenAlex, Choongwan Koo has authored 131 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 88 papers in Building and Construction, 33 papers in Environmental Engineering and 28 papers in Renewable Energy, Sustainability and the Environment. Recurrent topics in Choongwan Koo's work include Building Energy and Comfort Optimization (61 papers), Solar Radiation and Photovoltaics (26 papers) and Sustainable Building Design and Assessment (23 papers). Choongwan Koo is often cited by papers focused on Building Energy and Comfort Optimization (61 papers), Solar Radiation and Photovoltaics (26 papers) and Sustainable Building Design and Assessment (23 papers). Choongwan Koo collaborates with scholars based in South Korea, Hong Kong and United States. Choongwan Koo's co-authors include Taehoon Hong, Jimin Kim, Kwangbok Jeong, Minhyun Lee, Hyo Seon Park, Seung Hyun, Jeongyoon Oh, Tae Wan Kim, Chang-Taek Hyun and Jaemin Jeong and has published in prestigious journals such as Environmental Science & Technology, Renewable and Sustainable Energy Reviews and The Science of The Total Environment.

In The Last Decade

Choongwan Koo

127 papers receiving 3.9k citations

Hit Papers

Energy consumption predic... 2024 2026 2024 20 40 60

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Choongwan Koo South Korea 39 2.3k 1.1k 860 723 629 131 4.0k
Monjur Mourshed United Kingdom 33 2.1k 0.9× 866 0.8× 755 0.9× 560 0.8× 1.9k 3.0× 107 5.0k
Jimin Kim South Korea 34 1.6k 0.7× 831 0.7× 609 0.7× 339 0.5× 345 0.5× 147 3.1k
Minhyun Lee South Korea 31 1.4k 0.6× 658 0.6× 590 0.7× 410 0.6× 637 1.0× 85 2.6k
Kwangbok Jeong South Korea 31 1.3k 0.6× 666 0.6× 425 0.5× 352 0.5× 361 0.6× 75 2.2k
Somayeh Asadi United States 38 1.5k 0.7× 1.1k 1.0× 534 0.6× 279 0.4× 1.7k 2.6× 175 4.4k
Bing Dong United States 40 3.8k 1.6× 1.5k 1.3× 844 1.0× 427 0.6× 2.0k 3.1× 118 5.5k
Zhihua Zhou China 34 1.4k 0.6× 1.1k 1.0× 539 0.6× 378 0.5× 492 0.8× 106 3.7k
Jeong Tai Kim South Korea 38 2.5k 1.1× 1.6k 1.4× 458 0.5× 226 0.3× 317 0.5× 172 4.7k
Xin Zhou China 34 1.9k 0.8× 1.1k 1.0× 406 0.5× 128 0.2× 562 0.9× 196 3.7k
Siew Eang Lee Singapore 24 2.1k 0.9× 1.1k 1.0× 647 0.8× 354 0.5× 1.5k 2.5× 46 3.5k

Countries citing papers authored by Choongwan Koo

Since Specialization
Citations

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

Fields of papers citing papers by Choongwan Koo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Choongwan Koo

This figure shows the co-authorship network connecting the top 25 collaborators of Choongwan Koo. A scholar is included among the top collaborators of Choongwan Koo 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 Choongwan Koo. Choongwan Koo 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.
Kim, Sohyun, Changsoon Choi, Kwangbok Jeong, et al.. (2025). Framework for the automated generation of 2-dimensional architectural drawings from building information models using deep learning. Expert Systems with Applications. 275. 127018–127018. 1 indexed citations
2.
Oh, Jeongyoon, et al.. (2024). Empirical adaption of Work/Rest schedules to physiological variability in heat response. Safety Science. 177. 106574–106574. 2 indexed citations
3.
Koo, Choongwan, et al.. (2024). A simplified machine learning model to forecast individual thermal comfort in older adults’ residential spaces without relying on wearable devices. Sustainable Cities and Society. 119. 106085–106085. 3 indexed citations
4.
Choi, Juyeong, et al.. (2024). Assessment of Estimation Methods for Demolition Waste Volume and Cost. 318–327. 2 indexed citations
5.
Hyun, Seung, et al.. (2024). A living lab to develop smart home services for the residential welfare of older adults. Technology in Society. 77. 102577–102577. 10 indexed citations
6.
Cui, Xuerong, Minhyun Lee, Choongwan Koo, & Taehoon Hong. (2024). Energy consumption prediction and household feature analysis for different residential building types using machine learning and SHAP: Toward energy-efficient buildings. Energy and Buildings. 309. 113997–113997. 68 indexed citations breakdown →
7.
Hong, Taehoon, et al.. (2024). A Classification Model Using Personal Biometric Characteristics to Identify Individuals Vulnerable to an Extremely Hot Environment. Journal of Management in Engineering. 40(2). 3 indexed citations
8.
Kim, Tae‐Wan, et al.. (2023). A machine learning-based forecasting model for personal maximum allowable exposure time under extremely hot environments. Sustainable Cities and Society. 101. 105140–105140. 6 indexed citations
9.
Oh, Jeongyoon, et al.. (2023). Indoor environmental quality improvement in green building: Occupant perception and behavioral impact. Journal of Building Engineering. 69. 106314–106314. 18 indexed citations
10.
Jang, Hyounseung, et al.. (2023). Development of a multi-node monitoring system for analyzing plant growth and indoor environment interactions: An empirical study on a plant factory. Computers and Electronics in Agriculture. 214. 108311–108311. 4 indexed citations
11.
12.
Kang, Kyungsu, Choongwan Koo, & Han-Guk Ryu. (2022). An interpretable machine learning approach for evaluating the feature importance affecting lost workdays at construction sites. Journal of Building Engineering. 53. 104534–104534. 18 indexed citations
13.
Li, Wenzhuo, Shengwei Wang, & Choongwan Koo. (2021). A real-time optimal control strategy for multi-zone VAV air-conditioning systems adopting a multi-agent based distributed optimization method. Applied Energy. 287. 116605–116605. 57 indexed citations
14.
Koo, Choongwan, Ruoyu Jin, Bo Li, Seung Hyun, & Dariusz Wanatowski. (2017). Case-based reasoning approach to estimating the strength of sustainable concrete. Computers and Concrete, an International Journal. 20(6). 645–654. 4 indexed citations
15.
Kim, Jimin, Taehoon Hong, Jaemin Jeong, et al.. (2016). An integrated multi-objective optimization model for determining the optimal solution in the solar thermal energy system. Energy. 102. 416–426. 22 indexed citations
16.
Koo, Choongwan, Taehoon Hong, Minhyun Lee, & Jimin Kim. (2016). An integrated multi-objective optimization model for determining the optimal solution in implementing the rooftop photovoltaic system. Renewable and Sustainable Energy Reviews. 57. 822–837. 58 indexed citations
18.
Koo, Choongwan, Sung‐Ki Park, Taehoon Hong, & Hyo Seon Park. (2013). An estimation model for the heating and cooling demand of a residential building with a different envelope design using the finite element method. Applied Energy. 115. 205–215. 79 indexed citations
19.
Hong, Taehoon, et al.. (2012). Framework for the implementation of a new renewable energy system in an educational facility. Applied Energy. 103. 539–551. 46 indexed citations
20.
Hong, Taehoon, Choongwan Koo, & Sung‐Ki Park. (2012). A decision support model for improving a multi-family housing complex based on CO2 emission from gas energy consumption. Building and Environment. 52. 142–151. 53 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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