Zheng Lu

35 papers receiving 738 citations

Hit Papers

Story-Driven Summarization for Egocentric Video20132026201720212013100200300

Peers

Zheng Lu
Comparison fields: 5 of 82
  • Computer Vision and Pattern Recognition 636
  • Signal Processing 149
  • Artificial Intelligence 103
  • Sociology and Political Science 63
  • Media Technology 60
Replace Saeid Belkasim with:
Saeid Belkasim United States
Roger Mohr France
Shoou-I Yu United States
Iwan Setyawan Indonesia
Pedro Assunção Portugal
Arnaldo de Albuquerque Araújo Brazil
Youngmin Kim South Korea
Yong Zhu China
Yu Zhong United States
Zheng Lu relative to Saeid Belkasim United States Saeid Belkasim's profile →
Citations per field
00.5×10×20×31.5×
Saeid Belkasim · 1×
Citations per year

Countries citing papers authored by Zheng Lu

Since Specialization
Citations

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

Fields of papers citing papers by Zheng Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zheng Lu

This figure shows the co-authorship network connecting the top 25 collaborators of Zheng Lu. A scholar is included among the top collaborators of Zheng 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 Zheng Lu. Zheng Lu 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
#WorkIndexed citations
1 0
2 0
3 22
4 3
5 3
6 9
7 2
8 1
9 1
10 7
11 10
12 20
13 107
14
Adaptive Kernel Approximation for Large-Scale Non-Linear SVM Prediction
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15 3
16 1
17 8
18
Shanghai Jiao Tong University participation in high-level feature extraction, automatic search and surveillance event detectionat TRECVID 2008.
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19 44
20 11

About Zheng Lu

Zheng Lu is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Ophthalmology, having authored 37 papers that have together received 770 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (11 papers), Image Retrieval and Classification Techniques (8 papers) and Advanced Vision and Imaging (8 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (636 citations), Signal Processing (149 citations) and Media Technology (60 citations). Zheng Lu has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Kristen Grauman, Michael S. Brown, Seon Joo Kim, Hai Lin, Sabine Süsstrunk, Stephen Lin, Dali Chen, Michael S. Brown, Tat‐Seng Chua and Meng Wang. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, International Journal of Computer Vision and IEEE Transactions on Knowledge and Data Engineering.

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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