Yang Lu

2.4k citations
106 papers · 1.3k · h-index 20

Impact in

Papers in

Yang Lu

85 papers receiving 1.3k citations

Peers

Yang Lu
Comparison fields: 5 of 115
  • Computer Vision and Pattern Recognition 577
  • Media Technology 233
  • Artificial Intelligence 463
  • Transportation 60
  • Computational Mathematics 4
Replace Jingwen Yan with:
Jingwen Yan China
Wei Hong China
Yuhu Cheng China
Harish Bhaskar United Arab Emirates
Carl Doersch United States
Zhenhua Li China
Tao Leí China
Xiaoheng Jiang China
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Citations per field
00.5×2.9×
Jingwen Yan · 1×
Citations per year

Countries citing papers authored by Yang Lu

Since Specialization
Citations

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

Fields of papers citing papers by Yang Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Yang 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 Yang Lu Line = papers co-authored together Yang Lu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 106 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021132
2 2014106
3 201995
4 201767
5 201962
6 201958
7 201953
8 202252
9 201950
10 201750
11 202037
12 201937
13 202333
14 201433
15 201432
16 200828
17 202228
18 202320
19 202419
20 201419

About Yang Lu

Yang Lu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Biomedical Engineering, Electrical and Electronic Engineering and Aerospace Engineering, having authored 106 papers that have together received 1.3k indexed citations. Recurring topics across this work include Advanced Neural Network Applications (21 papers), Video Surveillance and Tracking Methods (19 papers), Advanced Image and Video Retrieval Techniques (13 papers), Face and Expression Recognition (9 papers), Remote-Sensing Image Classification (7 papers), Domain Adaptation and Few-Shot Learning (7 papers), Human Pose and Action Recognition (7 papers) and Remote Sensing and Land Use (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (577 citations), Media Technology (233 citations), Artificial Intelligence (463 citations), Transportation (60 citations) and Computational Mathematics (4 citations). Yang Lu has collaborated with scholars based in China, Hong Kong and Macao. Frequent co-authors include Yuan Yan Tang, Yiu‐ming Cheung, Hanzi Wang, Haoliang Yuan, Yan Yan, Yukang Zhang, Mengke Li, Huiwu Luo, Lina Yang and Wei Hao. Their work appears in journals such as IEEE Transactions on Circuits and Systems for Video Technology, IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Information Forensics and Security, IEEE Transactions on Cybernetics and IEEE Signal Processing Letters.

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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