Pan-Pan Gai

858 total citations
23 papers, 682 citations indexed

About

Pan-Pan Gai is a scholar working on Civil and Structural Engineering, Control and Systems Engineering and Computational Mechanics. According to data from OpenAlex, Pan-Pan Gai has authored 23 papers receiving a total of 682 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Civil and Structural Engineering, 6 papers in Control and Systems Engineering and 6 papers in Computational Mechanics. Recurrent topics in Pan-Pan Gai's work include Vibration Control and Rheological Fluids (19 papers), Seismic Performance and Analysis (15 papers) and Vibration and Dynamic Analysis (6 papers). Pan-Pan Gai is often cited by papers focused on Vibration Control and Rheological Fluids (19 papers), Seismic Performance and Analysis (15 papers) and Vibration and Dynamic Analysis (6 papers). Pan-Pan Gai collaborates with scholars based in China, United States and Romania. Pan-Pan Gai's co-authors include Zhao‐Dong Xu, Jun Dai, Jun Dai, Zhong-Wei Hu, Xing‐Huai Huang, Hongwei Li, Zhao‐Dong Xu, Daniel Gómez, Shirley J. Dyke and Zheng-Han Chen and has published in prestigious journals such as Mechanical Systems and Signal Processing, Materials and Engineering Structures.

In The Last Decade

Pan-Pan Gai

22 papers receiving 670 citations

Peers

Pan-Pan Gai
Comparison fields: 5 of 53
  • Civil and Structural Engineering 581
  • Computational Mechanics 132
  • Mechanical Engineering 96
  • Control and Systems Engineering 93
  • Biomedical Engineering 41
Replace Pradipta Banerji with:
Pradipta Banerji India
Luis A. Padrón Spain
Xuansheng Cheng China
T.K. Datta India
Chiang Shih Taiwan
Javier Avilés Mexico
Martin Johnson United States
Haijun Wang China
Pradipta Banerji India View profile →
Citations per field, relative to Pan-Pan Gai
Pan-Pan Gai · 1×
Citations per year, relative to Pan-Pan Gai
Pan-Pan Gai · 1×

Countries citing papers authored by Pan-Pan Gai

Since Specialization
Citations

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

Fields of papers citing papers by Pan-Pan Gai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pan-Pan Gai. 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 Pan-Pan Gai. The network helps show where Pan-Pan Gai may publish in the future.

Co-authorship network of co-authors of Pan-Pan Gai

This figure shows the co-authorship network connecting the top 25 collaborators of Pan-Pan Gai. A scholar is included among the top collaborators of Pan-Pan Gai 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 Pan-Pan Gai. Pan-Pan Gai 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
# Work Indexed citations
1 1
2 0
3 17
4 40
5 7
6 1
7 19
8 14
9 11
10 7
11 15
12 27
13 21
14 128
15 11
16 41
17 41
18 128
19 19
20 57

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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