Guile Wu

648 citations
19 papers · 438 · h-index 9

Impact in

Papers in

Guile Wu

18 papers receiving 434 citations

Peers

Guile Wu
Comparison fields: 5 of 59
  • Computer Vision and Pattern Recognition 311
  • Human-Computer Interaction 39
  • Artificial Intelligence 186
  • Media Technology 15
  • Computational Mathematics 1
Replace Alessio Mecca with:
Alessio Mecca Italy
Min-Hung Chen United States
Altaf Hussain South Korea
Junge Zhang China
A F M Saifuddin Saif Bangladesh
Yong-Joong Kim South Korea
Denis Tomè United States
Zhengping Hu China
Guile Wu relative to Alessio Mecca Italy Alessio Mecca's profile →
Citations per field
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Alessio Mecca · 1×
Citations per year

Countries citing papers authored by Guile Wu

Since Specialization
Citations

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

Fields of papers citing papers by Guile Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 14 scholars most cited alongside Guile Wu, 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 Guile Wu Line = papers co-authored together Guile Wu links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 202187
2 202158
3 202055
4 202148
5 202133
6 202131
7 202125
8 201625
9 201723
10
Spatio-Temporal Associative Representation for Video Person Re-Identification.
20198
11 20188
12 20178
13 20247
14 20196
15 20235
16 20214
17 20174
18 20233
19 20210

About Guile Wu

Guile Wu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Biomedical Engineering, Human-Computer Interaction and Radiology, Nuclear Medicine and Imaging, having authored 19 papers that have together received 438 indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (9 papers), Domain Adaptation and Few-Shot Learning (6 papers), Face recognition and analysis (6 papers), Human Pose and Action Recognition (5 papers), Gait Recognition and Analysis (5 papers), Hand Gesture Recognition Systems (3 papers), Advanced Neural Network Applications (3 papers) and Multimodal Machine Learning Applications (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (311 citations), Human-Computer Interaction (39 citations), Artificial Intelligence (186 citations), Media Technology (15 citations) and Computational Mathematics (1 citation). Guile Wu has collaborated with scholars based in United Kingdom, China and Sweden. Frequent co-authors include Shaogang Gong, Xiatian Zhu, Wenxiong Kang, Zhiyong Wang, Dagan Feng, Chenyang Si, Yuan Ren, Lan Xu, Bingbing Liu and Yuan Ren. Their work appears in journals such as Pattern Recognition, IEEE Transactions on Multimedia, Neural Computing and Applications, Neurocomputing and Proceedings of the AAAI Conference on Artificial Intelligence.

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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