Danyu Liu

50 total papers · 1.1k total citations
35 papers, 725 citations indexed

About

Danyu Liu is a scholar working on Oncology, Computer Vision and Pattern Recognition and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Danyu Liu has authored 35 papers receiving a total of 725 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Oncology, 8 papers in Computer Vision and Pattern Recognition and 7 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Danyu Liu's work include Image Retrieval and Classification Techniques (7 papers), Photonic and Optical Devices (6 papers) and Colorectal Cancer Screening and Detection (6 papers). Danyu Liu is often cited by papers focused on Image Retrieval and Classification Techniques (7 papers), Photonic and Optical Devices (6 papers) and Colorectal Cancer Screening and Detection (6 papers). Danyu Liu collaborates with scholars based in China, United States and Australia. Danyu Liu's co-authors include Hong Qi, Simone Teufel, Dragomir Radev, Wai Lam, Horacio Saggion, Elliott F. Drábek, John Blitzer, Arda Çelebi, Haroldo T. Hattori and Wai Lam and has published in prestigious journals such as Journal of Applied Physics, IEEE Transactions on Pattern Analysis and Machine Intelligence and Applied Catalysis B: Environmental.

In The Last Decade

Danyu Liu

34 papers receiving 691 citations

Author Peers

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

Author Last Decade Papers Cites
Danyu Liu 339 133 116 99 74 35 725
Zhe Xu 221 0.7× 97 0.7× 51 0.4× 147 1.5× 54 0.7× 74 818
Adam Kowalczyk 290 0.9× 101 0.8× 76 0.7× 9 0.1× 84 1.1× 65 729
Kai Shen 288 0.8× 157 1.2× 47 0.4× 28 0.3× 32 0.4× 88 777
Yanwei Guo 88 0.3× 45 0.3× 106 0.9× 40 0.4× 77 1.0× 44 832
Ming Ni 82 0.2× 36 0.3× 96 0.8× 55 0.6× 34 0.5× 93 857
Arvind Mukundan 108 0.3× 131 1.0× 84 0.7× 130 1.3× 12 0.2× 74 865
Kenneth M. O'Brien 125 0.4× 40 0.3× 146 1.3× 112 1.1× 9 0.1× 20 728
Gang Yuan 224 0.7× 86 0.6× 113 1.0× 12 0.1× 259 3.5× 73 860
Jianyong Wang 143 0.4× 16 0.1× 103 0.9× 47 0.5× 49 0.7× 65 825
Dimitris Glotsos 424 1.3× 69 0.5× 218 1.9× 43 0.4× 22 0.3× 71 862

Countries citing papers authored by Danyu Liu

Since Specialization
Citations

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

Fields of papers citing papers by Danyu Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Danyu Liu

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