Danhua Liu

82 total papers · 719 total citations
52 papers, 500 citations indexed

About

Danhua Liu is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering and Computational Mechanics. According to data from OpenAlex, Danhua Liu has authored 52 papers receiving a total of 500 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Vision and Pattern Recognition, 14 papers in Biomedical Engineering and 11 papers in Computational Mechanics. Recurrent topics in Danhua Liu's work include Sparse and Compressive Sensing Techniques (11 papers), Image and Signal Denoising Methods (9 papers) and Advanced Image Fusion Techniques (5 papers). Danhua Liu is often cited by papers focused on Sparse and Compressive Sensing Techniques (11 papers), Image and Signal Denoising Methods (9 papers) and Advanced Image Fusion Techniques (5 papers). Danhua Liu collaborates with scholars based in China, United States and Singapore. Danhua Liu's co-authors include Guangming Shi, Dahua Gao, Jie Lin, Fei Qi, Leyou Zhang, Liqun Yang, Zhongqiang Zhang, Jianxin Li, Dashuai Wang and Jing Guo and has published in prestigious journals such as The Science of The Total Environment, IEEE Transactions on Geoscience and Remote Sensing and IEEE Transactions on Image Processing.

In The Last Decade

Danhua Liu

47 papers receiving 476 citations

Author Peers

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

Author Last Decade Papers Cites
Danhua Liu 114 104 91 80 72 52 500
Yifan Wang 48 0.4× 311 3.0× 314 3.5× 25 0.3× 29 0.4× 22 585
Wenzhong Yan 154 1.4× 47 0.5× 26 0.3× 90 1.1× 40 0.6× 43 563
Justin S. Baba 298 2.6× 22 0.2× 46 0.5× 69 0.9× 4 0.1× 57 563
Yudan Wang 82 0.7× 60 0.6× 128 1.4× 116 1.4× 3 0.0× 37 555
Matteo Cacciola 93 0.8× 21 0.2× 41 0.5× 176 2.2× 3 0.0× 63 547
Chuanwei Li 116 1.0× 25 0.2× 143 1.6× 160 2.0× 3 0.0× 74 542
Xiaoqian Zhang 63 0.6× 17 0.2× 31 0.3× 188 2.4× 5 0.1× 89 597
Donglin Ma 381 3.3× 42 0.4× 101 1.1× 153 1.9× 3 0.0× 80 596
Marek Rudnicki 59 0.5× 34 0.3× 25 0.3× 91 1.1× 2 0.0× 43 518
F. Schmitt 19 0.2× 121 1.2× 301 3.3× 45 0.6× 4 0.1× 27 493

Countries citing papers authored by Danhua Liu

Since Specialization
Citations

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

Fields of papers citing papers by Danhua Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Danhua Liu

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