Wangda Zhao

499 total citations · 1 hit paper
8 papers, 373 citations indexed

About

Wangda Zhao is a scholar working on Safety, Risk, Reliability and Quality, Ocean Engineering and Global and Planetary Change. According to data from OpenAlex, Wangda Zhao has authored 8 papers receiving a total of 373 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Safety, Risk, Reliability and Quality, 5 papers in Ocean Engineering and 5 papers in Global and Planetary Change. Recurrent topics in Wangda Zhao's work include Fire effects on ecosystems (5 papers), Evacuation and Crowd Dynamics (5 papers) and Fire dynamics and safety research (5 papers). Wangda Zhao is often cited by papers focused on Fire effects on ecosystems (5 papers), Evacuation and Crowd Dynamics (5 papers) and Fire dynamics and safety research (5 papers). Wangda Zhao collaborates with scholars based in China. Wangda Zhao's co-authors include Pu Li, Zhisheng Xu, Chuangang Fan, Tao Chen, Pu Li, Miao Zhang, Yi Yang, Qian Ran, Beilei Wang and Liang Yin and has published in prestigious journals such as Journal of Wind Engineering and Industrial Aerodynamics, Fire Safety Journal and Case Studies in Thermal Engineering.

In The Last Decade

Wangda Zhao

8 papers receiving 356 citations

Hit Papers

Image fire detection algorithms based on convolutional ne... 2020 2026 2022 2024 2020 50 100 150 200 250
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. Image fire detection algorithms based on convolutional neural networks
    2020 276 citations Pu Li, Wangda Zhao Case Studies in Thermal Engineering profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wangda Zhao China 6 329 178 109 104 65 8 373
Gaohua Lin China 8 486 1.5× 411 2.3× 41 0.4× 136 1.3× 75 1.2× 8 517
Michelle J. Peatross United States 7 323 1.0× 19 0.1× 123 1.1× 71 0.7× 27 0.4× 14 355
Lin Luo China 12 185 0.6× 14 0.1× 342 3.1× 25 0.2× 23 0.4× 32 392
Edmundo Casas Spain 8 45 0.1× 77 0.4× 9 0.1× 24 0.2× 18 0.3× 14 199
Tzu-Sheng Shen Taiwan 7 167 0.5× 15 0.1× 194 1.8× 49 0.5× 4 0.1× 27 326
Feizhou Huo China 11 207 0.6× 20 0.1× 346 3.2× 23 0.2× 4 0.1× 29 375
Stephen M. Olenick United Kingdom 9 213 0.6× 7 0.0× 131 1.2× 54 0.5× 12 0.2× 16 295
Bohong Liu China 10 69 0.2× 87 0.5× 97 0.9× 13 0.1× 3 0.0× 17 365

Countries citing papers authored by Wangda Zhao

Since Specialization
Citations

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

Fields of papers citing papers by Wangda Zhao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wangda Zhao

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

All Works

8 of 8 papers shown
1.
Zhao, Wangda, et al.. (2022). A numerical study on smoke back‐layering length in V‐shaped tunnels under natural ventilation. Fire and Materials. 46(8). 1208–1221. 4 indexed citations
2.
3.
Zhao, Wangda, et al.. (2021). Influences of inclined tunnel ceiling on plug‐holing phenomenon and mechanical smoke exhaust efficiency in tunnel fires. Fire and Materials. 46(5). 818–829. 3 indexed citations
4.
Li, Pu, Yi Yang, Wangda Zhao, & Miao Zhang. (2021). Evaluation of image fire detection algorithms based on image complexity. Fire Safety Journal. 121. 103306–103306. 18 indexed citations
5.
Zhao, Wangda, et al.. (2020). An experimental study on smoke back-layering and critical velocity in tunnel fires with canyon cross wind. Journal of Wind Engineering and Industrial Aerodynamics. 209. 104477–104477. 36 indexed citations
6.
Zhao, Wangda, et al.. (2020). Study on the influence of bypass tunnel angle on gas shunting efficiency of urban road tunnels. Journal of Wind Engineering and Industrial Aerodynamics. 205. 104229–104229. 12 indexed citations
7.
Li, Pu & Wangda Zhao. (2020). Image fire detection algorithms based on convolutional neural networks. Case Studies in Thermal Engineering. 19. 100625–100625. 276 indexed citations breakdown →
8.
Zhao, Wangda, et al.. (2019). A smoke segmentation algorithm based on improved intelligent seeded region growing. Fire and Materials. 43(6). 725–733. 6 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