Liquan Dong

151 total papers · 896 total citations
92 papers, 537 citations indexed

About

Liquan Dong is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Biomedical Engineering. According to data from OpenAlex, Liquan Dong has authored 92 papers receiving a total of 537 indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Computer Vision and Pattern Recognition, 30 papers in Media Technology and 26 papers in Biomedical Engineering. Recurrent topics in Liquan Dong's work include Adaptive optics and wavefront sensing (15 papers), Advanced Image Processing Techniques (14 papers) and Advanced Image Fusion Techniques (14 papers). Liquan Dong is often cited by papers focused on Adaptive optics and wavefront sensing (15 papers), Advanced Image Processing Techniques (14 papers) and Advanced Image Fusion Techniques (14 papers). Liquan Dong collaborates with scholars based in China and Spain. Liquan Dong's co-authors include Yuejin Zhao, Lingqin Kong, Mei Hui, Ming Liu, Fen Li, Xiaohua Liu, Ming Liu, Qun Hao, Ming Liu and Xiaomei Yu and has published in prestigious journals such as Optics Letters, Expert Systems with Applications and Optics Express.

In The Last Decade

Liquan Dong

80 papers receiving 510 citations

Author Peers

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

Author Last Decade Papers Cites
Liquan Dong 277 136 125 75 68 92 537
Mei Hui 260 0.9× 119 0.9× 126 1.0× 84 1.1× 68 1.0× 94 574
Deepak Mishra 317 1.1× 98 0.7× 77 0.6× 60 0.8× 34 0.5× 91 619
Jesús Carlos Pedraza‐Ortega 147 0.5× 74 0.5× 111 0.9× 78 1.0× 39 0.6× 78 558
Deepak Mishra 140 0.5× 42 0.3× 149 1.2× 107 1.4× 13 0.2× 69 513
Mustafa Zahid Yıldız 95 0.3× 40 0.3× 163 1.3× 70 0.9× 14 0.2× 71 588
José Ruiz-Pinales 141 0.5× 41 0.3× 55 0.4× 55 0.7× 16 0.2× 55 466
Kenji Hara 303 1.1× 33 0.2× 27 0.2× 14 0.2× 53 0.8× 68 525
Franck Marzani 166 0.6× 62 0.5× 113 0.9× 44 0.6× 54 0.8× 58 579
Mariusz Oszust 351 1.3× 161 1.2× 80 0.6× 25 0.3× 17 0.3× 43 581
Neng‐Sheng Pai 160 0.6× 21 0.2× 54 0.4× 47 0.6× 20 0.3× 64 527

Countries citing papers authored by Liquan Dong

Since Specialization
Citations

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

Fields of papers citing papers by Liquan Dong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liquan Dong

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