Pei Dang

674 total citations · 1 hit paper
31 papers, 446 citations indexed

About

Pei Dang is a scholar working on Computer Vision and Pattern Recognition, Ocean Engineering and Geography, Planning and Development. According to data from OpenAlex, Pei Dang has authored 31 papers receiving a total of 446 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 Geography, Planning and Development. 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 (5 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 (5 papers). Pei Dang collaborates with scholars based in China, Germany and United States. Pei Dang's co-authors include Weilian Li, M. Grujičić, Jun Zhu, Jianlin Wu, Jinbin Zhang, Yukun Guo, Jianbo Lai, Yungang Cao, Lin Fu and Ce Liang 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

26 papers receiving 436 citations

Hit Papers

A flood knowledge-constra... 2024 2026 2024 10 20 30 40

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pei Dang China 13 95 76 59 53 53 31 446
Zhiyong Huang China 12 223 2.3× 66 0.9× 29 0.5× 56 1.1× 24 0.5× 89 713
Sang-Ho Lee South Korea 10 46 0.5× 29 0.4× 30 0.5× 125 2.4× 60 1.1× 72 630
Zhiyuan Zhang China 17 259 2.7× 27 0.4× 180 3.1× 73 1.4× 265 5.0× 67 1.2k
Huan Ling China 12 740 7.8× 94 1.2× 54 0.9× 209 3.9× 11 0.2× 33 1.1k
Yue Pan China 14 64 0.7× 32 0.4× 28 0.5× 52 1.0× 101 1.9× 56 622
Mingguang Wu China 11 62 0.7× 11 0.1× 98 1.7× 42 0.8× 24 0.5× 66 440
Tian Feng China 10 103 1.1× 35 0.5× 18 0.3× 23 0.4× 27 0.5× 39 274
Aizhu Ren China 12 42 0.4× 340 4.5× 10 0.2× 14 0.3× 14 0.3× 24 571
Shinji Kawatsuma Japan 6 178 1.9× 53 0.7× 29 0.5× 73 1.4× 167 3.2× 12 667
Øyvind Eide Norway 15 49 0.5× 446 5.9× 48 0.8× 71 1.3× 273 5.2× 48 826

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

20 of 20 papers shown
1.
Dang, Pei, et al.. (2025). Semantic-driven parametric 3D geographic scene modeling: Integrating knowledge graphs and large language models. Environmental Modelling & Software. 188. 106399–106399.
2.
Dang, Pei, et al.. (2025). A real-time mapping method for knowledge graph-driven large language models: a focus on indoor fire evacuations. International Journal of Digital Earth. 18(1). 1 indexed citations
3.
Dang, Pei, et al.. (2025). Large-language-model-driven agents for fire evacuation simulation in a cellular automata environment. Safety Science. 191. 106935–106935. 1 indexed citations
4.
Wu, Ying, Yan Zhang, Pei Dang, et al.. (2025). Alpha-lipoic acid alleviates oxidative stress and brain damage in patients with sevoflurane anesthesia. Frontiers in Pharmacology. 16. 1572156–1572156.
5.
Dang, Pei, et al.. (2025). A multimodal generative AI-driven 3D geographic scene reconstruction method. International Journal of Geographical Information Systems. 1–25.
6.
Lai, Jianbo, Pei Dang, Jianlin Wu, et al.. (2025). Knowledge-driven semantic converting method of multimodal models toward a geospatial perspective. Geo-spatial Information Science. 28(5). 2596–2613.
7.
Stefanakis, Emmanuel, et al.. (2025). A fast modeling method for augmented reality dynamic scenes with spatio-temporal semantic constraints. International Journal of Geographical Information Systems. 40(1). 1–24.
8.
Wu, Jianlin, Jun Zhu, Jinbin Zhang, et al.. (2023). A dynamic holographic modelling method of digital twin scenes for bridge construction. International Journal of Digital Earth. 16(1). 2404–2425. 41 indexed citations
9.
Dang, Pei, et al.. (2023). How does spatial cognitive style affect indoor fire evacuation wayfinding in mobile virtual reality?. Cartography and Geographic Information Science. 50(3). 272–288. 12 indexed citations
10.
Dang, Pei, et al.. (2023). A 3D-Panoramic fusion flood enhanced visualization method for VR. Environmental Modelling & Software. 169. 105810–105810. 12 indexed citations
11.
Guo, Yukun, Saied Pirasteh, Weilian Li, et al.. (2023). A dynamic visualization based on conceptual graphs to capture the knowledge for disaster education on floods. Natural Hazards. 119(1). 203–220. 12 indexed citations
12.
Zhu, Jun, Pei Dang, Jinbin Zhang, et al.. (2023). The impact of spatial scale on layout learning and individual evacuation behavior in indoor fires: single-scale learning perspectives. International Journal of Geographical Information Systems. 38(1). 77–99. 33 indexed citations
13.
Li, Weilian, Jun Zhu, Pei Dang, et al.. (2023). Immersive virtual reality as a tool to improve bridge teaching communication. Expert Systems with Applications. 217. 119502–119502. 27 indexed citations
14.
Zhou, Tao, et al.. (2022). [Exploring and analyzing the improvement mechanism of U-Net and its application in medical image segmentation].. PubMed. 39(4). 806–825. 5 indexed citations
15.
Dang, Pei, et al.. (2022). Teeth U-Net: A segmentation model of dental panoramic X-ray images for context semantics and contrast enhancement. Computers in Biology and Medicine. 152. 106296–106296. 50 indexed citations
16.
Dang, Pei, Jun Zhu, Saied Pirasteh, et al.. (2021). A chain navigation grid based on cellular automata for large-scale crowd evacuation in virtual reality. International Journal of Applied Earth Observation and Geoinformation. 103. 102507–102507. 27 indexed citations
17.
Grujičić, M. & Pei Dang. (1997). Martensitic transformation in a dispersed Ti-Al-V-Fe β-phase and its effect on fracture toughness of γ-titanium aluminide. Materials Science and Engineering A. 224(1-2). 187–199. 16 indexed citations
18.
Grujičić, M. & Pei Dang. (1996). A molecular dynamics study of transformation toughening in the gamma TiAl/beta TiV system. Materials Science and Engineering A. 219(1-2). 109–125. 1 indexed citations
19.
Grujičić, M. & Pei Dang. (1995). Computer simulation of martensitic transformation in Fe-Ni face-centered cubic alloys. Materials Science and Engineering A. 201(1-2). 194–204. 48 indexed citations
20.
Grujičić, M. & Pei Dang. (1995). Assessment of thermodynamic properties of alloys by combining the embedded-atom and the quasiharmonic methods. Calphad. 19(1). 105–117. 3 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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