Yonghan Ahn

3.1k total citations · 1 hit paper
159 papers, 2.2k citations indexed

About

Yonghan Ahn is a scholar working on Building and Construction, Civil and Structural Engineering and Management Science and Operations Research. According to data from OpenAlex, Yonghan Ahn has authored 159 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 76 papers in Building and Construction, 38 papers in Civil and Structural Engineering and 32 papers in Management Science and Operations Research. Recurrent topics in Yonghan Ahn's work include BIM and Construction Integration (40 papers), Sustainable Building Design and Assessment (30 papers) and Construction Project Management and Performance (28 papers). Yonghan Ahn is often cited by papers focused on BIM and Construction Integration (40 papers), Sustainable Building Design and Assessment (30 papers) and Construction Project Management and Performance (28 papers). Yonghan Ahn collaborates with scholars based in South Korea, United States and Australia. Yonghan Ahn's co-authors include Annie R. Pearce, Yuhong Wang, George Wang, Sanghyo Lee, Youjin Jang, Nahyun Kwon, Joosung Lee, Sung Joon Suk, Ha Young Kim and Young Hoon Kwak and has published in prestigious journals such as Construction and Building Materials, Expert Systems with Applications and Renewable Energy.

In The Last Decade

Yonghan Ahn

154 papers receiving 2.1k citations

Hit Papers

Conversion of waste into sustainable construction materia... 2024 2026 2025 2024 10 20 30 40 50

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yonghan Ahn South Korea 24 1.3k 568 456 340 178 159 2.2k
Zhikun Ding China 28 1.8k 1.4× 613 1.1× 253 0.6× 180 0.5× 369 2.1× 82 2.7k
Daniel Castro‐Lacouture United States 26 1.3k 1.0× 617 1.1× 244 0.5× 217 0.6× 177 1.0× 91 2.1k
Xiaoxiao Xu China 29 1.3k 1.0× 579 1.0× 151 0.3× 184 0.5× 208 1.2× 58 2.2k
John Tookey New Zealand 25 1.8k 1.4× 866 1.5× 308 0.7× 446 1.3× 388 2.2× 86 2.6k
Timothy O. Olawumi Hong Kong 25 1.8k 1.4× 1.2k 2.1× 377 0.8× 321 0.9× 508 2.9× 55 2.6k
Charles J. Kibert United States 23 2.1k 1.6× 657 1.2× 239 0.5× 318 0.9× 358 2.0× 70 3.0k
Joseph H.K. Lai Hong Kong 29 1.3k 1.0× 508 0.9× 131 0.3× 738 2.2× 205 1.2× 120 2.5k
Núria Forcada Spain 31 1.6k 1.3× 577 1.0× 249 0.5× 503 1.5× 203 1.1× 82 2.5k
Saeed Banihashemi Australia 29 1.7k 1.3× 972 1.7× 350 0.8× 262 0.8× 383 2.2× 118 2.7k
Mohammad A. Hassanain Saudi Arabia 26 1.1k 0.9× 616 1.1× 197 0.4× 714 2.1× 195 1.1× 137 2.2k

Countries citing papers authored by Yonghan Ahn

Since Specialization
Citations

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

Fields of papers citing papers by Yonghan Ahn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yonghan Ahn

This figure shows the co-authorship network connecting the top 25 collaborators of Yonghan Ahn. A scholar is included among the top collaborators of Yonghan Ahn 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 Yonghan Ahn. Yonghan Ahn 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.
Lê, Anh Tuấn, et al.. (2025). Transfer learning framework for modelling the compressive strength of ultra-high performance geopolymer concrete. Construction and Building Materials. 459. 139746–139746. 12 indexed citations
2.
Ahn, Yonghan, et al.. (2025). Machine learning and sustainable geopolymer materials: A systematic review. Materials Today Sustainability. 30. 101095–101095. 2 indexed citations
3.
Oo, Bee Lan, Anh Tuan Nguyen, Yonghan Ahn, & Benson Teck Heng Lim. (2025). Predicting the number of bidders in construction competitive bidding using explainable machine learning models. Construction Innovation. 25(7). 158–188. 2 indexed citations
5.
Kwon, Nahyun, et al.. (2024). Sensing perceived urban stress using space syntactical and urban building density data: A machine learning-based approach. Building and Environment. 266. 112054–112054. 8 indexed citations
6.
Ahn, Yonghan, et al.. (2024). Advancing modular construction through circular economy: Insights from semi-automated PRISMA analysis and topic modeling. Journal of Building Engineering. 98. 111232–111232. 10 indexed citations
7.
Santamouris, M., et al.. (2024). Modelling building HVAC control strategies using a deep reinforcement learning approach. Energy and Buildings. 310. 114065–114065. 52 indexed citations
8.
Ahn, Yonghan, et al.. (2024). Attention-based image captioning for structural health assessment of apartment buildings. Automation in Construction. 167. 105677–105677. 3 indexed citations
9.
Ahn, Yonghan, et al.. (2024). From seeing to hearing: A feasibility study on utilizing regenerated sounds from street view images to assess place perceptions. Building and Environment. 269. 112468–112468. 4 indexed citations
10.
Kim, Seong-Yong, Seung‐Woo Kim, Sehoon Ha, et al.. (2024). Understanding human-robot proxemic norms in construction: How do humans navigate around robots?. Automation in Construction. 164. 105455–105455. 3 indexed citations
11.
Ahn, Yonghan, et al.. (2024). Meta learning regression framework for energy consumption prediction in retrofitted buildings: A case study of South Korea. Journal of Building Engineering. 96. 110403–110403. 7 indexed citations
12.
Ahn, Yonghan, et al.. (2024). The Personalized Thermal Comfort Prediction Using an MH‐LSTM Neural Network Method. Advances in Civil Engineering. 2024(1). 5 indexed citations
13.
Lee, Jae Ho, et al.. (2024). Disparities in Urban Park Visitation Patterns among Socioeconomically Vulnerable Communities during the COVID-19 Pandemic. Sustainability. 16(3). 1070–1070. 1 indexed citations
14.
Ahn, Yonghan, et al.. (2023). An innovative approach to temporary educational facilities: A case study of relocatable modular school in South Korea. Journal of Building Engineering. 76. 107097–107097. 12 indexed citations
15.
Kim, Tae Soo, et al.. (2023). Experimental and numerical investigation of austenitic stainless steel (304 type) slit damper structural behavior. Thin-Walled Structures. 196. 111551–111551. 7 indexed citations
16.
Ahn, Yonghan, et al.. (2023). Visualization for Explanation of Deep Learning-Based Defect Detection Model Using Class Activation Map. Computers, materials & continua/Computers, materials & continua (Print). 75(3). 4753–4766. 2 indexed citations
17.
Lee, Joosung, et al.. (2020). Developing risk breakdown structure for nuclear power plant decommissioning projects in Korea focusing on radioactive concrete dismantle. International Journal of Sustainable Building Technology and Urban Development. 11(4). 269–280. 2 indexed citations
18.
Ahn, Yonghan, Hyuksoo Kwon, Annie R. Pearce, & John G. Wells. (2020). Integrated Sustainable Construction: A Course In Construction For Students In The U.S.A.. 13.757.1–13.757.14.
19.
Lee, Joosung, et al.. (2020). A study on the prediction of thermal comfort for residuals using LSTM deep learning model. International Journal of Sustainable Building Technology and Urban Development. 11(4). 222–230. 2 indexed citations
20.
Tae, Sungho, et al.. (2019). A study on the environmental impact prediction method of bridge life cycle maintenance using bridge maintenance database. International Journal of Sustainable Building Technology and Urban Development. 10(4). 194–204. 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026