Hyeun Jun Moon

1.8k total citations
68 papers, 1.4k citations indexed

About

Hyeun Jun Moon is a scholar working on Building and Construction, Environmental Engineering and Speech and Hearing. According to data from OpenAlex, Hyeun Jun Moon has authored 68 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Building and Construction, 15 papers in Environmental Engineering and 10 papers in Speech and Hearing. Recurrent topics in Hyeun Jun Moon's work include Building Energy and Comfort Optimization (30 papers), Noise Effects and Management (10 papers) and Urban Heat Island Mitigation (9 papers). Hyeun Jun Moon is often cited by papers focused on Building Energy and Comfort Optimization (30 papers), Noise Effects and Management (10 papers) and Urban Heat Island Mitigation (9 papers). Hyeun Jun Moon collaborates with scholars based in South Korea and United States. Hyeun Jun Moon's co-authors include Wonyoung Yang, Seungho Ryu, Young Yoon, Gi-Wook Cha, Sun Ho Kim, Jeong Tai Kim, Young-Chan Kim, Won‐Hwa Hong, Godfried Augenbroe and Myung-Jun Kim and has published in prestigious journals such as Journal of Cleaner Production, Applied Energy and The Journal of the Acoustical Society of America.

In The Last Decade

Hyeun Jun Moon

60 papers receiving 1.3k citations

Peers

Hyeun Jun Moon

HTM

EEE

Xiang Zhou China

Xing Jin China

Manoj Kumar Singh India

Ricardo Forgiarini Rupp Brazil

Siu‐Kit Lau Singapore

Cristina Piselli Italy

Esam Elsarrag Qatar

Jens Pfafferott Germany

Giacomo Salvadori Italy

Thomas Auer Germany

Xiang Zhou China

Hyeun Jun Moon

1.5k ×1.6

1.1k ×2.5

197 ×0.7

447 ×2.6

HTM

113 ×0.7

EEE

Citations per year, relative to Hyeun Jun Moon Hyeun Jun Moon (= 1×) peers Xiang Zhou

Countries citing papers authored by Hyeun Jun Moon

Since Specialization

Citations

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

Fields of papers citing papers by Hyeun Jun Moon

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hyeun Jun Moon. 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 Hyeun Jun Moon. The network helps show where Hyeun Jun Moon may publish in the future.

Co-authorship network of co-authors of Hyeun Jun Moon

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Kim, Jeong Won, Sun Ho Kim, & Hyeun Jun Moon. (2025). Improving sleep comfort by using a thermoregulation mat with a floor heating system. Energy and Buildings. 330. 115316–115316. 1 indexed citations

Ham, Sang woo, et al.. (2025). Designing reinforcement learning algorithms for building HVAC control: From experimental observation to simulation comparisons. Applied Thermal Engineering. 270. 126106–126106. 2 indexed citations

Kim, Sun Ho & Hyeun Jun Moon. (2024). A detailed occupant activity classification model in a residential environment using building monitoring data: Considering occupant characteristics. Energy and Buildings. 305. 113867–113867. 3 indexed citations

Ham, Sang woo, et al.. (2024). Deep reinforcement learning control for co-optimizing energy consumption, thermal comfort, and indoor air quality in an office building. Applied Energy. 377. 124467–124467. 20 indexed citations

Moon, Hyeun Jun, et al.. (2023). Anomaly Detection Based on LSTM Learning in IoT-Based Dormitory for Indoor Environment Control. Buildings. 13(11). 2886–2886. 1 indexed citations

Kim, Sun Ho & Hyeun Jun Moon. (2023). The Performance of Reinforcement Learning for Indoor Climate Control Devices according to the Level of Outdoor Air Particulate Matters. Buildings. 13(12). 3062–3062. 1 indexed citations

Cha, Gi-Wook, et al.. (2023). Predicting Generation of Different Demolition Waste Types Using Simple Artificial Neural Networks. Sustainability. 15(23). 16245–16245. 1 indexed citations

Yoon, Young, Yerin Lee, Sun Ho Kim, Jeong Won Kim, & Hyeun Jun Moon. (2021). A non-intrusive data-driven model for detailed occupants’ activities classification in residential buildings using environmental and energy usage data. Energy and Buildings. 256. 111699–111699. 24 indexed citations

Cha, Gi-Wook, Hyeun Jun Moon, Young‐Min Kim, et al.. (2020). Development of a Prediction Model for Demolition Waste Generation Using a Random Forest Algorithm Based on Small DataSets. International Journal of Environmental Research and Public Health. 17(19). 6997–6997. 65 indexed citations

10.

Yoon, Young & Hyeun Jun Moon. (2019). Performance based thermal comfort control (PTCC) using deep reinforcement learning for space cooling. Energy and Buildings. 203. 109420–109420. 60 indexed citations

11.

Yang, Wonyoung & Hyeun Jun Moon. (2018). Cross-modal effects of noise and thermal conditions on indoor environmental perception and speech recognition. Applied Acoustics. 141. 1–8. 62 indexed citations

12.

Cha, Gi-Wook, Young-Chan Kim, Hyeun Jun Moon, & Won‐Hwa Hong. (2017). New approach for forecasting demolition waste generation using chi-squared automatic interaction detection (CHAID) method. Journal of Cleaner Production. 168. 375–385. 41 indexed citations

13.

Cha, Gi-Wook, et al.. (2017). Analysis on the Reduction of Cooling Load and Improvement of Visual Environment by applying a Kinetic Shading Device in Summer. Journal of The Korean Society of Living Environmental System. 24(6). 810–823. 1 indexed citations

14.

Moon, Hyeun Jun & Jeong Won Kim. (2015). An Experimental Study on the Performance of a VRF Air Conditioning System with a Thermal Comfort Control Algorithm. 9(3). 247–252. 1 indexed citations

15.

Ryu, Seungho, Hyeun Jun Moon, & Jeong Tai Kim. (2014). Evaluation of the influence of hygric properties of wallpapers on mould growth rates using hygrothermal simulation. Energy and Buildings. 98. 113–118. 14 indexed citations

16.

Kim, Sang‐Min, et al.. (2011). Improvement of Indoor Living Environment by Occupants’ Preferences for Heat Recovery Ventilators in High-Rise Residential Buildings. Indoor and Built Environment. 21(4). 486–502. 14 indexed citations

17.

Moon, Hyeun Jun, et al.. (2010). Evaluation on the Control Performance of Temperature and Humidity in a Cavity Wall with Hanji and Hwangto. 17(1). 39–46. 2 indexed citations

18.

Moon, Hyeun Jun, et al.. (2009). An Experimental Study on Mold Germination and Growth on Wallpapers at Different Environmental Conditions. Journal of the Architectural Institute of Korea. 25(6). 237–244. 3 indexed citations

19.

Moon, Hyeun Jun & Godfried Augenbroe. (2008). Empowerment of decision-makers in mould remediation. Building Research & Information. 36(5). 486–498. 10 indexed citations

20.

Moon, Hyeun Jun. (2006). Evaluation of a Fungal Spore Transportation in a Building under Uncertainty. 8(1). 37–45. 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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