Pan-Pan Gai

34 total papers · 819 total citations
23 papers, 655 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 655 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 Canada. 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, Shirley J. Dyke, Daniel Gómez and Chenyu Zhou 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 646 citations

Author Peers

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

Author						Papers	Cites
Pan-Pan Gai	564	132	95	90	41	23	655
T.K. Datta	594 1.1×	89 0.7×	74 0.8×	127 1.4×	15 0.4×	37	651
Maryam Bitaraf	572 1.0×	37 0.3×	104 1.1×	112 1.2×	55 1.3×	30	652
Junling Chen	497 0.9×	157 1.2×	96 1.0×	164 1.8×	19 0.5×	33	632
Alfredo Cámara	617 1.1×	176 1.3×	144 1.5×	218 2.4×	23 0.6×	40	751
Menglin Lou	580 1.0×	77 0.6×	81 0.9×	165 1.8×	12 0.3×	44	662
R. T. Severn	486 0.9×	85 0.6×	206 2.2×	167 1.9×	28 0.7×	39	676
J. L. Humar	608 1.1×	69 0.5×	99 1.0×	98 1.1×	19 0.5×	37	679
Yasuki Ohtori	620 1.1×	26 0.2×	82 0.9×	134 1.5×	19 0.5×	29	685
Qinghua Han	289 0.5×	72 0.5×	82 0.9×	206 2.3×	19 0.5×	32	577
Huan Li	524 0.9×	47 0.4×	172 1.8×	110 1.2×	45 1.1×	36	752

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

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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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