Yanting Liu

48 total papers · 752 total citations
34 papers, 479 citations indexed

About

Yanting Liu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Yanting Liu has authored 34 papers receiving a total of 479 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Computer Vision and Pattern Recognition, 10 papers in Artificial Intelligence and 8 papers in Media Technology. Recurrent topics in Yanting Liu's work include Image Enhancement Techniques (8 papers), Advanced Image Processing Techniques (8 papers) and Advanced Vision and Imaging (7 papers). Yanting Liu is often cited by papers focused on Image Enhancement Techniques (8 papers), Advanced Image Processing Techniques (8 papers) and Advanced Vision and Imaging (7 papers). Yanting Liu collaborates with scholars based in China, Taiwan and Indonesia. Yanting Liu's co-authors include Christine Dewi, Rung-Ching Chen, Xiaoyi Jiang, Shao-Kuo Tai, Kristoko Dwi Hartomo, Hui Yu, Jin Wan, Hui Yin, Shangce Gao and Yang Yu and has published in prestigious journals such as IEEE Access, Pattern Recognition and Sustainability.

In The Last Decade

Yanting Liu

30 papers receiving 455 citations

Author Peers

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

Author Last Decade Papers Cites
Yanting Liu 273 113 82 50 36 34 479
Faming Shao 300 1.1× 117 1.0× 62 0.8× 82 1.6× 35 1.0× 39 540
Lili Fan 181 0.7× 90 0.8× 60 0.7× 68 1.4× 40 1.1× 48 456
Riadh Ayachi 346 1.3× 93 0.8× 70 0.9× 34 0.7× 22 0.6× 35 495
Xue Yuan 357 1.3× 126 1.1× 83 1.0× 30 0.6× 32 0.9× 47 525
Hamed Habibi Aghdam 199 0.7× 77 0.7× 115 1.4× 30 0.6× 19 0.5× 20 406
Mouna Afif 291 1.1× 80 0.7× 66 0.8× 30 0.6× 18 0.5× 35 425
Xiaoli Hao 339 1.2× 140 1.2× 48 0.6× 68 1.4× 43 1.2× 50 544
Chokri Souani 284 1.0× 66 0.6× 56 0.7× 34 0.7× 18 0.5× 58 477
Daniele Pannone 319 1.2× 36 0.3× 114 1.4× 36 0.7× 34 0.9× 26 522
Chengyang Li 330 1.2× 118 1.0× 76 0.9× 22 0.4× 16 0.4× 18 517

Countries citing papers authored by Yanting Liu

Since Specialization
Citations

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

Fields of papers citing papers by Yanting Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yanting Liu

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