Yun-Hao Dong

467 total citations
16 papers, 329 citations indexed

About

Yun-Hao Dong is a scholar working on Building and Construction, Civil and Structural Engineering and Ocean Engineering. According to data from OpenAlex, Yun-Hao Dong has authored 16 papers receiving a total of 329 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Building and Construction, 11 papers in Civil and Structural Engineering and 7 papers in Ocean Engineering. Recurrent topics in Yun-Hao Dong's work include Underground infrastructure and sustainability (16 papers), Infrastructure Maintenance and Monitoring (9 papers) and Evacuation and Crowd Dynamics (7 papers). Yun-Hao Dong is often cited by papers focused on Underground infrastructure and sustainability (16 papers), Infrastructure Maintenance and Monitoring (9 papers) and Evacuation and Crowd Dynamics (7 papers). Yun-Hao Dong collaborates with scholars based in China and Hong Kong. Yun-Hao Dong's co-authors include Fang‐Le Peng, Yong-Kang Qiao, Tengfei Guo, Hu Li, Chunfang Lu, Junbo Zhang, Yaoliang Li, Yang Du, Cheng Peng and Qi Pan and has published in prestigious journals such as Energy and Buildings, Sustainability and Automation in Construction.

In The Last Decade

Yun-Hao Dong

14 papers receiving 304 citations

Peers

Yun-Hao Dong
Han Admiraal United Kingdom
Sandra Santa‐Cruz Peru
Yisha Pan China
Syed E. Hasan United States
Tryfon Daras Greece
Daniel Souto Rodrigues Portugal
Behrouz Behnam Iran
R. Anthony Hodge Canada
Vojko Kilar Slovenia
David Koren Slovenia
Han Admiraal United Kingdom
Yun-Hao Dong
Citations per year, relative to Yun-Hao Dong Yun-Hao Dong (= 1×) peers Han Admiraal

Countries citing papers authored by Yun-Hao Dong

Since Specialization
Citations

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

Fields of papers citing papers by Yun-Hao Dong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yun-Hao Dong. 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 Yun-Hao Dong. The network helps show where Yun-Hao Dong may publish in the future.

Co-authorship network of co-authors of Yun-Hao Dong

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

All Works

16 of 16 papers shown
1.
Pan, Qi, Simon S.M. Ng, Fang‐Le Peng, & Yun-Hao Dong. (2025). A bottom-up approach of knowledge graph modelling for urban underground public spaces: Insights into public cognition. Tunnelling and Underground Space Technology. 163. 106710–106710. 1 indexed citations
2.
Qiao, Yong-Kang, et al.. (2025). Review on data-informed planning for underground space. Underground Space. 26. 257–281.
3.
Peng, Fang‐Le, et al.. (2024). Identifying implementation-oriented models of urban underground space development in China based on fuzzy-set qualitative comparative analysis (fsQCA). Tunnelling and Underground Space Technology. 153. 106007–106007. 4 indexed citations
4.
Peng, Fang‐Le, et al.. (2024). Quantitative evaluation of the contribution of underground space to urban resilience: A case study in China. Underground Space. 17. 1–24. 21 indexed citations
5.
6.
Peng, Cheng, et al.. (2023). Unravelling the Formation Mechanism of Sustainable Underground Pedestrian Systems: Two Case Studies in Shanghai. Sustainability. 15(15). 11819–11819. 3 indexed citations
7.
Dong, Yun-Hao, et al.. (2023). Spatiotemporal characteristics of Chinese metro-led underground space development: A multiscale analysis driven by big data. Tunnelling and Underground Space Technology. 139. 105209–105209. 13 indexed citations
8.
9.
Qiao, Yong-Kang, Fang‐Le Peng, Yun-Hao Dong, & Chunfang Lu. (2023). Planning an adaptive reuse development of underutilized urban underground infrastructures: A case study of Qingdao, China. Underground Space. 14. 18–33. 21 indexed citations
10.
Dong, Yun-Hao, et al.. (2022). Automatic identification and feature recognition of the metro-led underground space in China based on point of interest data. Underground Space. 9. 186–199. 11 indexed citations
11.
Dong, Yun-Hao, et al.. (2022). An intelligent layout planning model for underground space surrounding metro stations based on NSGA-II. Tunnelling and Underground Space Technology. 128. 104648–104648. 23 indexed citations
12.
13.
Dong, Yun-Hao, Fang‐Le Peng, & Tengfei Guo. (2021). Quantitative assessment method on urban vitality of metro-led underground space based on multi-source data: A case study of Shanghai Inner Ring area. Tunnelling and Underground Space Technology. 116. 104108–104108. 66 indexed citations
14.
Dong, Yun-Hao, et al.. (2021). Spatial accessibility and functional layout impacts on urban underground space development: a case study of Shanghai. IOP Conference Series Earth and Environmental Science. 703(1). 12014–12014. 8 indexed citations
15.
16.
Peng, Fang‐Le, et al.. (2019). Remote-control technology performance for excavation with pneumatic caisson in soft ground. Automation in Construction. 105. 102834–102834. 22 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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2026