Ying Lv

20 papers and 230 indexed citations
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About

Ying Lv is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Ying Lv has authored 20 papers receiving a total of 230 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 7 papers in Artificial Intelligence and 6 papers in Electrical and Electronic Engineering. Recurrent topics in Ying Lv’s work include Domain Adaptation and Few-Shot Learning (4 papers), Advanced Image Fusion Techniques (3 papers) and Visual Attention and Saliency Detection (3 papers). Ying Lv is often cited by papers focused on Domain Adaptation and Few-Shot Learning (4 papers), Advanced Image Fusion Techniques (3 papers) and Visual Attention and Saliency Detection (3 papers). Ying Lv collaborates with scholars based in China, Singapore and Australia. Ying Lv's co-authors include Wujie Zhou, Jingsheng Lei, Lu Yu, Xiaodong Yue, Bin Yuan, Yufei Chen, Hamido Fujita, Cheng Zhang, Yue Shan and Ting Luo and has published in prestigious journals such as Optics Express, Expert Systems with Applications and Energies.

In The Last Decade

Co-authorship network of co-authors of Ying Lv

This figure shows the co-authorship network connecting the top 25 collaborators of Ying Lv. A scholar is included among the top collaborators of Ying Lv 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 Ying Lv. Ying Lv is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

Fields of papers citing papers by Ying Lv

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ying Lv

Since Specialization
Citations

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

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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2026