Taifan Quan

93 total papers · 608 total citations
68 papers, 451 citations indexed

About

Taifan Quan is a scholar working on Aerospace Engineering, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Taifan Quan has authored 68 papers receiving a total of 451 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Aerospace Engineering, 33 papers in Artificial Intelligence and 13 papers in Electrical and Electronic Engineering. Recurrent topics in Taifan Quan's work include Target Tracking and Data Fusion in Sensor Networks (26 papers), Radar Systems and Signal Processing (19 papers) and Underwater Acoustics Research (9 papers). Taifan Quan is often cited by papers focused on Target Tracking and Data Fusion in Sensor Networks (26 papers), Radar Systems and Signal Processing (19 papers) and Underwater Acoustics Research (9 papers). Taifan Quan collaborates with scholars based in China, Canada and United Kingdom. Taifan Quan's co-authors include Nan Zhao, Zhilu Wu, Gongjian Zhou, Yaqin Zhao, Changjun Yu, Lihui Jiang, Guanghui Ren, Junhao Xie, Thiagalingam Kirubarajan and Michel Pelletier and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and Sensors.

In The Last Decade

Taifan Quan

54 papers receiving 419 citations

Author Peers

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

Author Last Decade Papers Cites
Taifan Quan 170 160 105 102 91 68 451
Ershen Wang 67 0.4× 257 1.6× 127 1.2× 94 0.9× 92 1.0× 80 489
Qinghua Luo 97 0.6× 163 1.0× 220 2.1× 120 1.2× 171 1.9× 66 526
Chengkai Tang 83 0.5× 201 1.3× 161 1.5× 61 0.6× 117 1.3× 78 435
Roland Hostettler 162 1.0× 97 0.6× 156 1.5× 74 0.7× 56 0.6× 45 430
Kun Yan 79 0.5× 118 0.7× 175 1.7× 75 0.7× 92 1.0× 65 491
Hongyan Zhu 185 1.1× 87 0.5× 109 1.0× 84 0.8× 80 0.9× 58 424
Lars Nolle 196 1.2× 47 0.3× 83 0.8× 60 0.6× 65 0.7× 64 518
Chih‐Hung Wu 238 1.4× 66 0.4× 51 0.5× 125 1.2× 69 0.8× 45 508
Hamid Esmaeili Najafabadi 97 0.6× 147 0.9× 111 1.1× 102 1.0× 35 0.4× 28 415
Wei Jiang 94 0.6× 310 1.9× 214 2.0× 38 0.4× 31 0.3× 43 455

Countries citing papers authored by Taifan Quan

Since Specialization
Citations

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

Fields of papers citing papers by Taifan Quan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Taifan Quan

This figure shows the co-authorship network connecting the top 25 collaborators of Taifan Quan. A scholar is included among the top collaborators of Taifan Quan 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 Taifan Quan. Taifan Quan 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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