Yue Lu

40 total papers · 461 total citations
27 papers, 220 citations indexed

About

Yue Lu is a scholar working on Computer Vision and Pattern Recognition, Cognitive Neuroscience and Electrical and Electronic Engineering. According to data from OpenAlex, Yue Lu has authored 27 papers receiving a total of 220 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Vision and Pattern Recognition, 4 papers in Cognitive Neuroscience and 4 papers in Electrical and Electronic Engineering. Recurrent topics in Yue Lu's work include Advanced Vision and Imaging (6 papers), Advanced Image and Video Retrieval Techniques (5 papers) and Computer Graphics and Visualization Techniques (4 papers). Yue Lu is often cited by papers focused on Advanced Vision and Imaging (6 papers), Advanced Image and Video Retrieval Techniques (5 papers) and Computer Graphics and Visualization Techniques (4 papers). Yue Lu collaborates with scholars based in China, Macao and Canada. Yue Lu's co-authors include Fei‐Yue Wang, Chao Guo, Xingyuan Dai, Kunfeng Wang, Sihua Jin, Wenwen Zhang, Sirui Chen, Tianxiang Bai, Ning Yang and Yating Liu and has published in prestigious journals such as Neurocomputing, Poultry Science and IEEE Transactions on Instrumentation and Measurement.

In The Last Decade

Yue Lu

25 papers receiving 211 citations

Author Peers

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

Author Last Decade Papers Cites
Yue Lu 88 35 26 24 24 27 220
Tongtong Yuan 197 2.2× 104 3.0× 12 0.5× 2 0.1× 7 0.3× 26 327
Ronaldo Martins da Costa 51 0.6× 15 0.4× 44 1.7× 5 0.2× 40 299
Min Chen 41 0.5× 97 2.8× 22 0.8× 4 0.2× 20 287
Anis Kacem 99 1.1× 35 1.0× 12 0.5× 9 0.4× 28 192
Chutisant Kerdvibulvech 82 0.9× 41 1.2× 22 0.8× 4 0.2× 33 200
Dongliang Zhou 149 1.7× 60 1.7× 29 1.1× 34 1.4× 17 238
Prakash Chandra Sharma 35 0.4× 52 1.5× 31 1.2× 18 0.8× 41 221
Charles Herrmann 168 1.9× 52 1.5× 14 0.5× 30 1.3× 22 277
Anastassia Angelopoulou 108 1.2× 70 2.0× 17 0.7× 4 0.2× 32 299
Dario Zanca 57 0.6× 33 0.9× 25 1.0× 7 0.3× 1 0.0× 28 163

Countries citing papers authored by Yue Lu

Since Specialization
Citations

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

Fields of papers citing papers by Yue Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yue Lu

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