Moon Keun Kim

2.2k total citations · 1 hit paper
67 papers, 1.6k citations indexed

About

Moon Keun Kim is a scholar working on Building and Construction, Environmental Engineering and Mechanical Engineering. According to data from OpenAlex, Moon Keun Kim has authored 67 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Building and Construction, 33 papers in Environmental Engineering and 14 papers in Mechanical Engineering. Recurrent topics in Moon Keun Kim's work include Building Energy and Comfort Optimization (45 papers), Wind and Air Flow Studies (27 papers) and Urban Heat Island Mitigation (13 papers). Moon Keun Kim is often cited by papers focused on Building Energy and Comfort Optimization (45 papers), Wind and Air Flow Studies (27 papers) and Urban Heat Island Mitigation (13 papers). Moon Keun Kim collaborates with scholars based in China, Norway and United States. Moon Keun Kim's co-authors include Jiying Liu, Jelena Srebric, Hansjürg Leibundgut, Yang‐Seon Kim, Zhaoyang Ye, Luca Baldini, Joon-Ho Choi, Shengwei Zhu, Shi‐Jie Cao and Junqi Wang and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Environmental Pollution.

In The Last Decade

Moon Keun Kim

64 papers receiving 1.5k citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Investigating the impact of data normalization methods on predicting electricity consumption in a building using different artificial neural network models

2024 74 citations Yang‐Seon Kim, Moon Keun Kim et al. Sustainable Cities and Society profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Moon Keun Kim China	25	849	580	364	285	254	67	1.6k
Marco Dell’Isola Italy	28	1.0k 1.2×	696 1.2×	234 0.6×	266 0.9×	177 0.7×	104	2.2k
Yujiao Chen China	16	1.1k 1.3×	990 1.7×	192 0.5×	258 0.9×	155 0.6×	35	1.8k
Giorgio Ficco Italy	26	720 0.8×	409 0.7×	156 0.4×	207 0.7×	136 0.5×	80	1.6k
Tiberiu Cătălina Romania	15	923 1.1×	536 0.9×	200 0.5×	230 0.8×	64 0.3×	57	1.3k
Xing Lu China	28	817 1.0×	404 0.7×	652 1.8×	449 1.6×	82 0.3×	73	2.3k
Dominique Marchio France	20	821 1.0×	606 1.0×	446 1.2×	120 0.4×	184 0.7×	60	1.4k
Wandong Zheng China	35	766 0.9×	568 1.0×	1.0k 2.8×	451 1.6×	122 0.5×	117	2.7k
Jianli Chen United States	20	1.0k 1.2×	518 0.9×	147 0.4×	560 2.0×	54 0.2×	62	1.7k
Forrest Meggers United States	24	1.4k 1.6×	960 1.7×	446 1.2×	337 1.2×	82 0.3×	98	2.1k

Countries citing papers authored by Moon Keun Kim

Since Specialization

Citations

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

Fields of papers citing papers by Moon Keun Kim

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Moon Keun Kim

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

Mao, Yudong, et al.. (2025). Multi-objective optimization of integrated energy systems in natural gas industrial zones: Enhancing performance through variable hydrogen blending ratios. Applied Thermal Engineering. 268. 125942–125942. 7 indexed citations

Kim, Moon Keun, Yang‐Seon Kim, Jiying Liu, et al.. (2025). Advanced techniques for electricity consumption prediction in buildings using comparative correlation analysis, data normalization, and Long Short-Term Memory (LSTM) networks: A case study of a U.S. commercial building. Energy Reports. 14. 56–65. 3 indexed citations

Tian, Zhe, et al.. (2025). A Systematic Review of Building Energy Consumption Prediction: From Perspectives of Load Classification, Data-Driven Frameworks, and Future Directions. Applied Sciences. 15(6). 3086–3086. 8 indexed citations

Kim, Yang‐Seon, et al.. (2024). Investigating the impact of data normalization methods on predicting electricity consumption in a building using different artificial neural network models. Sustainable Cities and Society. 118. 105570–105570. 74 indexed citations breakdown →

Li, Kaiyue, et al.. (2024). Optimizing long-term park-level integrated energy system through multi-stage planning: A study incorporating the ladder-type carbon trading mechanism. Results in Engineering. 22. 102107–102107. 16 indexed citations

Zhou, Shiyu, Yan Ding, Moon Keun Kim, et al.. (2024). Exploring the comprehensive integration of artificial intelligence in optimizing HVAC system operations: A review and future outlook. Results in Engineering. 25. 103765–103765. 22 indexed citations

Kim, Moon Keun, et al.. (2024). Predictive and correlational analysis of heating energy consumption in four residential apartments with sensitivity analysis using long Short-Term memory and Generalized regression neural network models. Sustainable Energy Technologies and Assessments. 71. 103976–103976. 8 indexed citations

Kim, Moon Keun, Jiying Liu, & Luca Baldini. (2024). Numerical analysis, design and application of a decentralized ventilation system with a heat recovery unit adapting to Nordic climates: A case study in Norway. Energy Reports. 11. 3863–3875. 4 indexed citations

Ning, Baisong, Xiaozhou Wu, Moon Keun Kim, et al.. (2024). The development of radiant floor cooling system (RFCS): System type, control strategy, and application. Results in Engineering. 23. 102544–102544. 9 indexed citations

10.

Liu, Jiying, et al.. (2023). A Numerical Study on the Exergy Performance of a Hybrid Radiant Cooling System in an Office Building: Comparative Case Study and Analysis. Buildings. 13(2). 465–465. 3 indexed citations

11.

Kim, Moon Keun, et al.. (2023). A review of the control optimization and application potential of the radiant floor cooling system. Building Simulation Conference proceedings. 18. 1 indexed citations

12.

Liu, Jiying, et al.. (2023). Application potential analysis of different control strategies for radiant floor cooling systems in office buildings in different climate zones of China. Energy and Buildings. 282. 112772–112772. 25 indexed citations

13.

Liu, Jiying, et al.. (2023). Developing simplified numerical calculation and BP neural network modeling for the cooling capacity in a radiant floor cooling system. Journal of Asian Architecture and Building Engineering. 23(2). 754–772. 5 indexed citations

14.

Gao, Bo, et al.. (2023). Multi-objective optimization of energy-saving measures and operation parameters for a newly retrofitted building in future climate conditions: A case study of an office building in Chengdu. Energy Reports. 9. 2269–2285. 36 indexed citations

15.

Strand, Anders & Moon Keun Kim. (2022). Comparative Numerical Energy Analysis of Decentralized Ventilation Adapting to Local Norway Climates. SHILAP Revista de lepidopterología. 362. 11005–11005. 2 indexed citations

16.

Liu, Jiying, et al.. (2022). Dynamic prediction of the pre-dehumidification of a radiant floor cooling and displacement ventilation system based on computational fluid dynamics and a back-propagation neural network: A case study of an office room. Indoor and Built Environment. 31(10). 2386–2410. 15 indexed citations

17.

Ren, Jing, et al.. (2022). Developing a collaborative control strategy of a combined radiant floor cooling and ventilation system: A PMV-based model. Journal of Building Engineering. 54. 104648–104648. 26 indexed citations

18.

Liu, Jiying, Shengwei Zhu, Moon Keun Kim, & Jelena Srebric. (2019). A Review of CFD Analysis Methods for Personalized Ventilation (PV) in Indoor Built Environments. Sustainability. 11(15). 4166–4166. 71 indexed citations

19.

Kim, Moon Keun, Jiying Liu, & Shi‐Jie Cao. (2018). Energy analysis of a hybrid radiant cooling system under hot and humid climates: A case study at Shanghai in China. Building and Environment. 137. 208–214. 61 indexed citations

20.

Wakefield, Jonathan & Moon Keun Kim. (2013). A Bayesian model for cluster detection. Biostatistics. 14(4). 752–765. 40 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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