Pei Dang

55 total papers · 673 total citations
32 papers, 431 citations indexed

About

Pei Dang is a scholar working on Computer Vision and Pattern Recognition, Ocean Engineering and Global and Planetary Change. According to data from OpenAlex, Pei Dang has authored 32 papers receiving a total of 431 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 6 papers in Ocean Engineering and 6 papers in Global and Planetary Change. Recurrent topics in Pei Dang's work include Geographic Information Systems Studies (6 papers), Evacuation and Crowd Dynamics (6 papers) and Flood Risk Assessment and Management (6 papers). Pei Dang is often cited by papers focused on Geographic Information Systems Studies (6 papers), Evacuation and Crowd Dynamics (6 papers) and Flood Risk Assessment and Management (6 papers). Pei Dang collaborates with scholars based in China, Germany and United States. Pei Dang's co-authors include M. Grujičić, Weilian Li, Jun Zhu, Jianlin Wu, Yukun Guo, Jinbin Zhang, Jianbo Lai, Yungang Cao, Lin Fu and Hongbin Shi and has published in prestigious journals such as Materials Science and Engineering A, Expert Systems with Applications and Journal of Materials Science.

In The Last Decade

Pei Dang

25 papers receiving 420 citations

Hit Papers

A flood knowledge-constra... 2024 2026 2024 10 20 30

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Pei Dang 93 73 59 52 52 32 431
Mingguang Wu 62 0.7× 11 0.2× 97 1.6× 42 0.8× 24 0.5× 65 436
Cong Yang 223 2.4× 14 0.2× 26 0.4× 91 1.8× 27 0.5× 38 423
Antonio J. Rueda 117 1.3× 12 0.2× 6 0.1× 31 0.6× 14 0.3× 42 414
Chun Du 127 1.4× 135 1.8× 11 0.2× 40 0.8× 23 0.4× 28 392
Weixin Huang 74 0.8× 20 0.3× 14 0.2× 17 0.3× 52 1.0× 38 478
Xin Liu 196 2.1× 33 0.5× 19 0.3× 28 0.5× 41 0.8× 45 391
Nicola Mosca 295 3.2× 11 0.2× 30 0.5× 86 1.7× 23 0.4× 46 466
Agustín Trujillo 149 1.6× 55 0.8× 6 0.1× 11 0.2× 28 0.5× 30 424
Carlos J. Ogáyar 117 1.3× 11 0.2× 4 0.1× 10 0.2× 5 0.1× 44 394
Yi Fu 53 0.6× 10 0.1× 23 0.4× 32 0.6× 46 0.9× 58 369

Countries citing papers authored by Pei Dang

Since Specialization
Citations

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

Fields of papers citing papers by Pei Dang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pei Dang

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

All Works

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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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