Shuang Wu

1.0k total citations · 1 hit paper
36 papers, 656 citations indexed

About

Shuang Wu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Shuang Wu has authored 36 papers receiving a total of 656 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Computer Vision and Pattern Recognition, 9 papers in Artificial Intelligence and 6 papers in Signal Processing. Recurrent topics in Shuang Wu's work include Video Analysis and Summarization (10 papers), Video Surveillance and Tracking Methods (9 papers) and Human Pose and Action Recognition (8 papers). Shuang Wu is often cited by papers focused on Video Analysis and Summarization (10 papers), Video Surveillance and Tracking Methods (9 papers) and Human Pose and Action Recognition (8 papers). Shuang Wu collaborates with scholars based in China, United States and Canada. Shuang Wu's co-authors include Xiaodan Zhuang, Bo Li, Shouhong Ding, Lv Tang, Prem Natarajan, Pradeep Natarajan, Stavros Tsakalidis, Shiv Vitaladevuni, Unsang Park and Ramendra Prasad and has published in prestigious journals such as Communications of the ACM, Expert Systems with Applications and Pattern Recognition.

In The Last Decade

Shuang Wu

32 papers receiving 641 citations

Hit Papers

Detecting Camouflaged Object in Frequency Domain 2022 2026 2023 2024 2022 50 100 150

Peers

Shuang Wu
Comparison fields: 5 of 76
  • Computer Vision and Pattern Recognition 474
  • Artificial Intelligence 147
  • Biomedical Engineering 60
  • Signal Processing 53
  • Media Technology 41
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Yunfan Liu China
Antoine Manzanera France
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Sabina Umirzakova South Korea
Ramsha Ahmed China
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Xuansong Xie China View profile →
Citations per field, relative to Shuang Wu
Shuang Wu · 1×
Citations per year, relative to Shuang Wu
Shuang Wu · 1×

Countries citing papers authored by Shuang Wu

Since Specialization
Citations

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

Fields of papers citing papers by Shuang Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shuang Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Shuang Wu. A scholar is included among the top collaborators of Shuang Wu 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 Shuang Wu. Shuang Wu 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 0
2 7
3 4
4 18
5 2
6 43
7 5
8 6
9 18
10 1
11 20
12 5
13 79
14 1
15
BBN VISER TRECVID 2013 Multimedia Event Detection and Multimedia Event Recounting Systems
14
16
BBNVISER : BBN VISER TRECVID 2012 Multimedia Event Detection and Multimedia Event Recounting Systems.
13
17 132
18 13
19
BBN VISER TRECVID 2011 Multimedia Event Detection System
25
20
A unified model of short-range and long-range motion perception
7

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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