Jin Woo Moon

1.9k total citations
98 papers, 1.5k citations indexed

About

Jin Woo Moon is a scholar working on Building and Construction, Environmental Engineering and Mechanical Engineering. According to data from OpenAlex, Jin Woo Moon has authored 98 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 66 papers in Building and Construction, 36 papers in Environmental Engineering and 20 papers in Mechanical Engineering. Recurrent topics in Jin Woo Moon's work include Building Energy and Comfort Optimization (65 papers), Urban Heat Island Mitigation (27 papers) and Refrigeration and Air Conditioning Technologies (12 papers). Jin Woo Moon is often cited by papers focused on Building Energy and Comfort Optimization (65 papers), Urban Heat Island Mitigation (27 papers) and Refrigeration and Air Conditioning Technologies (12 papers). Jin Woo Moon collaborates with scholars based in South Korea, United States and Jordan. Jin Woo Moon's co-authors include Seung-Hoon Han, Bo Rang Park, Jong-Jin Kim, Young Jae Choi, Sooyoung Kim, Kwang Ho Lee, Min Hee Chung, Young‐Chul Kim, Je Hyeon Lee and Sooyoung Kim and has published in prestigious journals such as Journal of Cleaner Production, Energy and Solar Energy.

In The Last Decade

Jin Woo Moon

84 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jin Woo Moon South Korea	22	1.1k	567	371	315	219	98	1.5k
Sebastian Herkel Germany	21	1.5k 1.3×	766 1.4×	316 0.9×	364 1.2×	393 1.8×	76	1.8k
Jon Hand United Kingdom	11	1.5k 1.4×	741 1.3×	238 0.6×	302 1.0×	434 2.0×	31	1.9k
G. Stavrakakis Greece	17	889 0.8×	553 1.0×	132 0.4×	228 0.7×	215 1.0×	54	1.4k
Jan-Olof Dalenbäck Sweden	20	899 0.8×	265 0.5×	446 1.2×	539 1.7×	714 3.3×	89	1.5k
Holly Samuelson United States	18	889 0.8×	584 1.0×	128 0.3×	200 0.6×	119 0.5×	49	1.3k
Panagiota Karava United States	28	1.6k 1.5×	1.3k 2.2×	396 1.1×	216 0.7×	380 1.7×	69	2.2k
Forrest Meggers United States	24	1.4k 1.3×	960 1.7×	446 1.2×	337 1.1×	445 2.0×	98	2.1k
Ludovico Danza Italy	17	770 0.7×	449 0.8×	334 0.9×	165 0.5×	325 1.5×	49	1.3k
Vishal Garg India	22	1.1k 1.0×	771 1.4×	163 0.4×	333 1.1×	155 0.7×	87	1.6k
Chuang Wang China	19	820 0.7×	289 0.5×	524 1.4×	353 1.1×	223 1.0×	107	1.7k

Countries citing papers authored by Jin Woo Moon

Since Specialization

Citations

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

Fields of papers citing papers by Jin Woo Moon

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jin Woo Moon

This figure shows the co-authorship network connecting the top 25 collaborators of Jin Woo Moon. A scholar is included among the top collaborators of Jin Woo 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 Jin Woo Moon. Jin Woo 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

Raj, Sarath, et al.. (2025). Adaptive neural temporal hybridization for missing data imputation in building energy use datasets: An integrated LNN-LSTM weighted model. Journal of Building Engineering. 112. 113774–113774. 1 indexed citations

Jun, Yongseok, et al.. (2025). Evaluation of the energy and environmental performance of a novel BIPV window system for net-zero energy buildings. Energy and Buildings. 348. 116453–116453.

Choi, Young Jae, et al.. (2025). Real-time ventilation control for indoor CO2 management using occupant information. Building and Environment. 285. 113568–113568. 1 indexed citations

Kim, Chul‐Ho, et al.. (2024). Optimizing active chilled beam systems in the South Korean Climate: Comparative analysis of cooling energy and thermal comfort by set-point temperature. Energy and Buildings. 325. 114958–114958. 1 indexed citations

Kim, Chul‐Ho, et al.. (2024). A new integrated framework to fault detection and diagnosis of air handling unit: Emphasizing the impact of symptoms. Energy and Buildings. 319. 114474–114474. 7 indexed citations

Chung, Min Hee, et al.. (2024). Performance evaluation of an occupant metabolic rate estimation algorithm using activity classification and object detection models. Building and Environment. 252. 111299–111299. 7 indexed citations

Chung, Min Hee, et al.. (2024). Development and performance evaluation of an indoor thermal environment control algorithm incorporating MET estimation model with object detection. Building and Environment. 267. 112217–112217. 2 indexed citations

Moon, Jin Woo, et al.. (2024). Developing a Control Strategy for Minimum Airflow Setting Considering CO2 Level and Energy Consumption in a Variable Air Volume System. International Journal of Thermophysics. 45(12). 1 indexed citations

Yun, Ji Young, et al.. (2024). Impact of thermal control by real-time PMV using estimated occupants personal factors of metabolic rate and clothing insulation. Energy and Buildings. 307. 113976–113976. 15 indexed citations

10.

Choi, Young Jae, et al.. (2023). Seasonal effects of thermal comfort control considering real-time clothing insulation with vision-based model. Building and Environment. 235. 110255–110255. 17 indexed citations

11.

Heo, Yeonsook, et al.. (2023). An intelligent HVAC control strategy for supplying comfortable and energy-efficient school environment. Advanced Engineering Informatics. 55. 101895–101895. 20 indexed citations

12.

Park, Bo Rang, et al.. (2022). Adaptive control algorithm with a retraining technique to predict the optimal amount of chilled water in a data center cooling system. Journal of Building Engineering. 50. 104167–104167. 29 indexed citations

13.

Park, Bo Rang, et al.. (2022). Energy Performance Analysis of Office Building with Semi-transparent Solar Cell Windows for Solar Signage by Climate Zone. KIEAE Journal. 22(2). 39–46. 1 indexed citations

14.

Bae, Sangmu, et al.. (2021). Development of Performance Prediction Model for Water Source Heat Pump System based on Artificial Neural Network. KIEAE Journal. 21(4). 99–104. 3 indexed citations

15.

Choi, Young Jae, et al.. (2020). Development of Supply Air Temperature Prediction Model for Optimal Control Algorithm of Containment Data Center. KIEAE Journal. 20(5). 159–164. 5 indexed citations

16.

Kim, Young‐Chul, et al.. (2020). Performance Evaluation of Control Methods for PV-Integrated Shading Devices. Energies. 13(12). 3171–3171. 9 indexed citations

17.

Choi, Yoon Kyung, et al.. (2020). Development of a Prediction Model and an Adaptive Control Algorithm for the Data Center Thermal Environment. KIEAE Journal. 20(6). 107–112. 1 indexed citations

18.

Moon, Jin Woo. (2019). ANN-Based VRF (variable refrigerant flow) system control. 10(3). 9–16. 1 indexed citations

19.

Park, Bo Rang, et al.. (2019). Development of Occupant Pose Classification Model Using Deep Neural Network for Personalized Thermal Conditioning. Energies. 13(1). 45–45. 16 indexed citations

20.

Moon, Jin Woo, Jin Chul Park, & Sooyoung Kim. (2018). Development of control algorithms for optimal thermal environment of double skin envelope buildings in summer. Building and Environment. 144. 657–672. 7 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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