Dihao Ai

542 total citations · 1 hit paper
10 papers, 384 citations indexed

About

Dihao Ai is a scholar working on Civil and Structural Engineering, Ocean Engineering and Aerospace Engineering. According to data from OpenAlex, Dihao Ai has authored 10 papers receiving a total of 384 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Civil and Structural Engineering, 3 papers in Ocean Engineering and 3 papers in Aerospace Engineering. Recurrent topics in Dihao Ai's work include Infrastructure Maintenance and Monitoring (5 papers), Concrete Corrosion and Durability (4 papers) and Asphalt Pavement Performance Evaluation (3 papers). Dihao Ai is often cited by papers focused on Infrastructure Maintenance and Monitoring (5 papers), Concrete Corrosion and Durability (4 papers) and Asphalt Pavement Performance Evaluation (3 papers). Dihao Ai collaborates with scholars based in China and Singapore. Dihao Ai's co-authors include Siew-Kei Lam, Guiyuan Jiang, Chengwu Li, Peilan He, Changhai Ou, Dongbo Chen, Nan Jin, Qifei Wang, Yuechao Zhao and Shi‐Ping Wang and has published in prestigious journals such as Construction and Building Materials, IEEE Access and IEEE Transactions on Intelligent Transportation Systems.

In The Last Decade

Dihao Ai

8 papers receiving 371 citations

Hit Papers

Computer vision framework for crack detection of civil in... 2022 2026 2023 2024 2022 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dihao Ai China 6 328 78 49 33 28 10 384
Shanglian Zhou United States 10 291 0.9× 97 1.2× 40 0.8× 24 0.7× 32 1.1× 16 372
Ahmad Alhasan United States 12 292 0.9× 68 0.9× 22 0.4× 47 1.4× 17 0.6× 29 392
Ruicong Han China 10 215 0.7× 39 0.5× 27 0.6× 15 0.5× 34 1.2× 19 337
Marek Salamak Poland 10 251 0.8× 47 0.6× 29 0.6× 55 1.7× 17 0.6× 53 350
Seungbo Shim South Korea 10 294 0.9× 73 0.9× 57 1.2× 30 0.9× 54 1.9× 25 358
Van-Duc Tran Vietnam 9 436 1.3× 117 1.5× 68 1.4× 37 1.1× 34 1.2× 16 533
Maziar Jamshidi Canada 8 305 0.9× 120 1.5× 45 0.9× 18 0.5× 37 1.3× 11 370
Gang Yao China 10 239 0.7× 58 0.7× 32 0.7× 50 1.5× 23 0.8× 37 358
Jiaxin Ling China 9 100 0.3× 25 0.3× 34 0.7× 71 2.2× 13 0.5× 18 275
Jingtao Zhong China 10 435 1.3× 99 1.3× 74 1.5× 52 1.6× 49 1.8× 21 502

Countries citing papers authored by Dihao Ai

Since Specialization
Citations

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

Fields of papers citing papers by Dihao Ai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dihao Ai

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

All Works

10 of 10 papers shown
1.
Zhao, Yuechao, et al.. (2025). A Numerical Simulation Study on Hydrogen-Enriched Gas Explosions on Hydrogen Fuel Cell Ships Based on OpenFOAM. Journal of Marine Science and Engineering. 13(4). 667–667.
3.
Jin, Nan, et al.. (2024). A comparison study of semantic segmentation networks for crack detection in construction materials. Construction and Building Materials. 414. 134950–134950. 12 indexed citations
5.
Zhao, Yuechao, et al.. (2023). A Numerical Study on the Smoke Dispersion and Temperature Distribution of a Ship Engine Room Fire Based on OpenFOAM. Sustainability. 15(20). 15093–15093. 3 indexed citations
6.
Li, Chengwu, et al.. (2023). Investigation on the multimodal failure characteristics of cement mortar under uniaxial compression loading. Construction and Building Materials. 392. 131900–131900. 6 indexed citations
7.
Ai, Dihao, Guiyuan Jiang, Siew-Kei Lam, Peilan He, & Chengwu Li. (2022). Computer vision framework for crack detection of civil infrastructure—A review. Engineering Applications of Artificial Intelligence. 117. 105478–105478. 171 indexed citations breakdown →
8.
Jiang, Guiyuan, Siew-Kei Lam, Peilan He, Changhai Ou, & Dihao Ai. (2020). A Multi-Scale Attributes Attention Model for Transport Mode Identification. IEEE Transactions on Intelligent Transportation Systems. 23(1). 152–164. 17 indexed citations
9.
Ai, Dihao, Guiyuan Jiang, Siew-Kei Lam, Peilan He, & Chengwu Li. (2020). Automatic pixel-wise detection of evolving cracks on rock surface in video data. Automation in Construction. 119. 103378–103378. 32 indexed citations
10.
Ai, Dihao, Guiyuan Jiang, Siew-Kei Lam, & Chengwu Li. (2018). Automatic Pixel-Level Pavement Crack Detection Using Information of Multi-Scale Neighborhoods. IEEE Access. 6. 24452–24463. 142 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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