Zhangzhang Si

663 citations
15 papers · 416 indexed · h-index 9
Topics
Image Retrieval and Classification Techniques (9 papers)Advanced Image and Video Retrieval Techniques (8 papers)Image and Signal Denoising Methods (3 papers)
Partner nations
United StatesChina

In The Last Decade

Zhangzhang Si

15 papers receiving 393 citations

Peers

Zhangzhang Si
Comparison fields: 5 of 56
  • Computer Vision and Pattern Recognition 348
  • Artificial Intelligence 149
  • Aerospace Engineering 31
  • Media Technology 30
  • Signal Processing 26
Replace Kevin Lin with:
Kevin Lin Taiwan
Wei Ji Singapore
Xiaosheng Wu China
Kaiqi Huang China
Dayan Wu China
Vivek Sharma Germany
Liang Lin China
Bailan Feng China
Sungeun Hong South Korea
Tongtong Yuan China
Zhangzhang Si relative to Kevin Lin Taiwan Kevin Lin's profile →
Citations per field
00.5×6.6×
Kevin Lin · 1×
Citations per year

Countries citing papers authored by Zhangzhang Si

Since Specialization
Citations

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

Fields of papers citing papers by Zhangzhang Si

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhangzhang Si

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

All Works

15 of 15 papers shown
#WorkIndexed citations
1 76
2 8
3 23
4 51
5 5
6 51
7 6
8 1
9 5
10 13
11 15
12 109
13
Active Basis for Modeling, Learning and Recognizing Deformable Templates
1
14 33
15
Tsinghua University at TRECVID 2005
19

About Zhangzhang Si

Zhangzhang Si is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Industrial and Manufacturing Engineering, having authored 15 papers that have together received 416 indexed citations. Recurring topics across this work include Image Retrieval and Classification Techniques (9 papers), Advanced Image and Video Retrieval Techniques (8 papers) and Image and Signal Denoising Methods (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (348 citations), Artificial Intelligence (149 citations) and Media Technology (30 citations). Zhangzhang Si has collaborated with scholars based in United States and China. Frequent co-authors include Song‐Chun Zhu, Haifeng Gong, Ying Wu, Mingtao Pei, Benjamin Yao, Ying Wu, Ying Wu, Wenze Hu, Yi Hong and Jianmin Li. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, International Journal of Computer Vision and Pattern Recognition 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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