Weizhi Lu

684 citations
30 papers · 465 · h-index 13

Impact in

Papers in

Weizhi Lu

30 papers receiving 457 citations

Peers

Weizhi Lu
Comparison fields: 5 of 74
  • Computer Vision and Pattern Recognition 258
  • Acoustics and Ultrasonics 8
  • Computational Mechanics 98
  • Media Technology 41
  • Signal Processing 50
Replace Aziza I. Hussein with:
Aziza I. Hussein Egypt
Avinash Sharma India
Abhijit Karmakar India
Hao Qin China
Karsten Fyhn Denmark
Rui Yu China
Yongle Xie China
Kil-Houm Park South Korea
Zhiguo Li China
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Citations per field
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Citations per year

Countries citing papers authored by Weizhi Lu

Since Specialization
Citations

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

Fields of papers citing papers by Weizhi Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Weizhi Lu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Weizhi Lu Line = papers co-authored together Weizhi Lu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201957
2 201243
3 201941
4 201936
5 201736
6 202135
7 201429
8 201728
9 201918
10 201817
11 201817
12 202416
13 201915
14 201912
15 202210
16 20198
17 20197
18 20206
19 20196
20 20175

About Weizhi Lu

Weizhi Lu is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics, Signal Processing, Biomedical Engineering and Computer Networks and Communications, having authored 30 papers that have together received 465 indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (9 papers), Human Pose and Action Recognition (6 papers), Blind Source Separation Techniques (6 papers), Video Surveillance and Tracking Methods (6 papers), Multimodal Machine Learning Applications (5 papers), Image and Signal Denoising Methods (5 papers), Reinforcement Learning in Robotics (3 papers) and Robot Manipulation and Learning (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (258 citations), Acoustics and Ultrasonics (8 citations), Computational Mechanics (98 citations), Media Technology (41 citations) and Signal Processing (50 citations). Weizhi Lu has collaborated with scholars based in China, United States and France. Frequent co-authors include Wei Zhang, Xuanyu He, Shu‐Tao Xia, Joseph Ronsin, Kidiyo Kpalma, Yibin Li, Zheng-Jun Zha, Wei Zhang, Tao Dai and Shijian Lu. Their work appears in journals such as Journal of Visual Communication and Image Representation, IEEE Transactions on Circuits and Systems for Video Technology, IEEE Signal Processing Letters, IEEE Transactions on Neural Networks and Learning Systems and IEEE Transactions on Industrial Informatics.

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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