Ke Lü

5.7k total citations · 3 hit papers
187 papers, 4.0k citations indexed

About

Ke Lü is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Artificial Intelligence. According to data from OpenAlex, Ke Lü has authored 187 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 149 papers in Computer Vision and Pattern Recognition, 33 papers in Media Technology and 26 papers in Artificial Intelligence. Recurrent topics in Ke Lü's work include Advanced Image and Video Retrieval Techniques (44 papers), Image Retrieval and Classification Techniques (31 papers) and Advanced Neural Network Applications (25 papers). Ke Lü is often cited by papers focused on Advanced Image and Video Retrieval Techniques (44 papers), Image Retrieval and Classification Techniques (31 papers) and Advanced Neural Network Applications (25 papers). Ke Lü collaborates with scholars based in China, United States and United Kingdom. Ke Lü's co-authors include Jian Xue, Ning He, Ling Shao, Bin Xiao, Weisheng Li, Jiao Du, Liping Hou, Yue Gao, Jinbao Wang and Weiqiang Wang and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Pattern Analysis and Machine Intelligence and ACS Catalysis.

In The Last Decade

Ke Lü

171 papers receiving 3.9k citations

Hit Papers

Shape-Adaptive Selection and Measurement for Oriented Obj... 2022 2026 2023 2024 2022 2024 2025 50 100 150

Peers

Ke Lü
Comparison fields: 5 of 166
  • Computer Vision and Pattern Recognition 2.8k
  • Media Technology 843
  • Artificial Intelligence 712
  • Biomedical Engineering 360
  • Aerospace Engineering 353
Replace Rynson W. H. Lau with:
Rynson W. H. Lau Hong Kong
Mingli Song China
Song Wang United States
Ying Shan China
Xin Ning China
Xiao Bai China
Yujie Li China
Nannan Wang China
Ming-Yu Liu United States
Kai Yu China
Rynson W. H. Lau Hong Kong View profile →
Citations per field, relative to Ke Lü
Ke Lü · 1×
Citations per year, relative to Ke Lü
Ke Lü · 1×

Countries citing papers authored by Ke Lü

Since Specialization
Citations

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

Fields of papers citing papers by Ke Lü

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ke Lü

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

All Works

20 of 20 papers shown
# Work Indexed citations
1
FrameERC: Framelet Transform Based Multimodal Graph Neural Networks for Emotion Recognition in Conversation breakdown →
17
2 3
3 1
4 2
5 2
6 2
7 9
8 8
9 61
10 16
11 14
12 11
13 2
14 3
15 7
16 13
17 24
18 38
19 34
20 115

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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