Soolyeon Cho

1.4k total citations · 1 hit paper
48 papers, 1.0k citations indexed

About

Soolyeon Cho is a scholar working on Building and Construction, Environmental Engineering and Renewable Energy, Sustainability and the Environment. According to data from OpenAlex, Soolyeon Cho has authored 48 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Building and Construction, 14 papers in Environmental Engineering and 13 papers in Renewable Energy, Sustainability and the Environment. Recurrent topics in Soolyeon Cho's work include Building Energy and Comfort Optimization (35 papers), Urban Heat Island Mitigation (10 papers) and Refrigeration and Air Conditioning Technologies (8 papers). Soolyeon Cho is often cited by papers focused on Building Energy and Comfort Optimization (35 papers), Urban Heat Island Mitigation (10 papers) and Refrigeration and Air Conditioning Technologies (8 papers). Soolyeon Cho collaborates with scholars based in United States, South Korea and China. Soolyeon Cho's co-authors include Jonghoon Ahn, Yuan Fang, Antonio Martínez-Molina, José‐Luis Vivancos, Isabel Tort-Ausina, Yeobeom Yoon, Byeongmo Seo, Kwang Ho Lee, Sung Y. Park and Kwang Ho Lee and has published in prestigious journals such as SHILAP Revista de lepidopterología, Renewable and Sustainable Energy Reviews and Applied Energy.

In The Last Decade

Soolyeon Cho

47 papers receiving 973 citations

Hit Papers

Energy efficiency and thermal comfort in historic buildin... 2016 2026 2019 2022 2016 100 200 300
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.

  1. Energy efficiency and thermal comfort in historic buildings: A review
    2016 326 citations Soolyeon Cho et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Soolyeon Cho United States 15 798 381 170 154 126 48 1.0k
Tullio de Rubeis Italy 21 732 0.9× 295 0.8× 155 0.9× 208 1.4× 222 1.8× 56 1.2k
Iole Nardi Italy 20 587 0.7× 344 0.9× 254 1.5× 138 0.9× 98 0.8× 38 1.1k
Aimilios Michael Cyprus 19 925 1.2× 634 1.7× 82 0.5× 84 0.5× 44 0.3× 51 1.3k
Mark Luther Australia 15 655 0.8× 461 1.2× 44 0.3× 208 1.4× 114 0.9× 83 1.1k
Massimiliano Scarpa Italy 18 596 0.7× 301 0.8× 62 0.4× 390 2.5× 145 1.2× 50 959
R.S. Adhikari Italy 23 537 0.7× 180 0.5× 156 0.9× 811 5.3× 401 3.2× 85 1.7k
Anna Magrini Italy 16 368 0.5× 138 0.4× 84 0.5× 309 2.0× 101 0.8× 56 849
Francesco Minichiello Italy 28 1.5k 1.8× 571 1.5× 170 1.0× 727 4.7× 191 1.5× 74 2.3k
Alessandra Galatioto Italy 15 557 0.7× 220 0.6× 100 0.6× 128 0.8× 162 1.3× 26 781
Cihan Turhan Türkiye 15 445 0.6× 300 0.8× 66 0.4× 40 0.3× 81 0.6× 49 653

Countries citing papers authored by Soolyeon Cho

Since Specialization
Citations

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

Fields of papers citing papers by Soolyeon Cho

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Soolyeon Cho

This figure shows the co-authorship network connecting the top 25 collaborators of Soolyeon Cho. A scholar is included among the top collaborators of Soolyeon Cho 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 Soolyeon Cho. Soolyeon Cho 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.
Wang, Daoru, et al.. (2023). Unfolding 3D Space into Binary Images for Daylight Simulation via Neural Network. SHILAP Revista de lepidopterología. 10(2). 204–213. 1 indexed citations
2.
3.
Seo, Byeongmo, Yeobeom Yoon, Kwang Ho Lee, & Soolyeon Cho. (2023). Comparative Analysis of ANN and LSTM Prediction Accuracy and Cooling Energy Savings through AHU-DAT Control in an Office Building. Buildings. 13(6). 1434–1434. 17 indexed citations
4.
Fang, Yuan, et al.. (2023). Sensitivity Analysis and Multi-Objective Optimization of Skylight Design in the Early Design Stage. Energies. 17(1). 219–219. 2 indexed citations
5.
6.
Cho, Soolyeon, et al.. (2020). Annual Energy Consumption Cut-Off with Cooling System Design Parameter Changes in Large Office Buildings. Energies. 13(8). 2034–2034. 8 indexed citations
7.
Fang, Yuan & Soolyeon Cho. (2019). Design optimization of building geometry and fenestration for daylighting and energy performance. Solar Energy. 191. 7–18. 183 indexed citations
8.
Yoon, Yeobeom, et al.. (2019). Performance analysis of a double-skin façade system installed at different floor levels of high-rise apartment building. Journal of Building Engineering. 26. 100900–100900. 14 indexed citations
9.
Seo, Byeongmo, et al.. (2019). Application of Artificial Neural Network for the Optimum Control of HVAC Systems in Double-Skinned Office Buildings. Energies. 12(24). 4754–4754. 20 indexed citations
10.
11.
Ahn, Jonghoon, et al.. (2017). Performance analysis of space heating smart control models for energy and control effectiveness in five different climate zones. Building and Environment. 115. 316–331. 23 indexed citations
12.
13.
Ahn, Jonghoon, et al.. (2017). Network-based energy supply optimal system in the condition where both heating and cooling are required simultaneously in a swing season. Intelligent Buildings International. 10(1). 42–57. 5 indexed citations
14.
Cho, Soolyeon, et al.. (2017). Building Geometry Optimization with Integrated Daylighting and Energy Simulation. Building Simulation Conference proceedings. 1 indexed citations
15.
Haberl, J. S., et al.. (2016). Methodology to Develop the Airport Terminal Building Energy Use Intensity (ATB-EUI) Benchmarking Tool. Transportation Research Board eBooks. 2 indexed citations
16.
Ahn, Jonghoon, et al.. (2016). Development of a statistical analysis model to benchmark the energy use intensity of subway stations. Applied Energy. 179. 488–496. 45 indexed citations
17.
Cho, Soolyeon, et al.. (2013). Simulation Modeling Of Ground Source Heat Pump Systems For The Performance Analysis Of Residential Buildings. Building Simulation Conference proceedings. 13. 6 indexed citations
18.
Cho, Soolyeon, et al.. (2011). ENERGY SIMULATION MODELING AND SAVINGS ANALYSIS OF A LOAD-SHARING SYSTEM FOR TWO BUILDING TYPES. 162–162. 1 indexed citations
19.
Cho, Soolyeon & J. S. Haberl. (2010). INTEGRATING SOLAR THERMAL AND PHOTOVOLTAIC SYSTEMS IN WHOLE BUILDING ENERGY SIMULATION. OAKTRUST (Texas A&M University). 4(1). 344–351. 2 indexed citations
20.
Cho, Soolyeon & J. S. Haberl. (2008). Validation of the eCALC Commercial Code-Compliant Simulation Versus Measured Data from an Office Building in a Hot and Humid Climate. OakTrust (Texas A&M University Libraries). 3 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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