Shu-Fai Wong

931 citations
8 papers · 665 indexed · h-index 6
Journals
The HKU Scholars Hub (University of Hong Kong) (2 papers)Cambridge University Engineering Department Publications Database (1 paper)

In The Last Decade

Shu-Fai Wong

8 papers receiving 629 citations

Peers

Shu-Fai Wong
Comparison fields: 5 of 43
  • Computational Mathematics 29
  • Computer Vision and Pattern Recognition 585
  • Human-Computer Interaction 156
  • Artificial Intelligence 231
  • Signal Processing 52
Replace Muhammad Muneeb Ullah with:
Muhammad Muneeb Ullah Switzerland
Andrei Zanfir Romania
Alexey Kurakin United States
Guan Luo China
Shangqian Gao United States
Mihir Jain Netherlands
Stefan Eickeler Germany
Ram Kumar Karsh India
Yinfu Feng China
Mazen M. Selim Egypt
Shu-Fai Wong relative to Muhammad Muneeb Ullah Switzerland Muhammad Muneeb Ullah's profile →
Citations per field
00.5×10×14.5×
Muhammad Muneeb Ullah · 1×
Citations per year

Countries citing papers authored by Shu-Fai Wong

Since Specialization
Citations

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

Fields of papers citing papers by Shu-Fai Wong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shu-Fai Wong. 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 Shu-Fai Wong. The network helps show where Shu-Fai Wong may publish in the future.

Co-authorship network

The 5 scholars most cited alongside Shu-Fai Wong, 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 Shu-Fai Wong Line = papers co-authored together Shu-Fai Wong links everyone, so they are left out of the graph.

All Works

About Shu-Fai Wong

Shu-Fai Wong is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction, Signal Processing, Biomedical Engineering and Computational Mechanics, having authored 8 papers that have together received 665 indexed citations. Recurring topics across this work include Human Pose and Action Recognition (4 papers), Video Surveillance and Tracking Methods (2 papers), Medical Image Segmentation Techniques (2 papers), Face and Expression Recognition (2 papers), Image and Object Detection Techniques (2 papers), Gait Recognition and Analysis (2 papers), Hand Gesture Recognition Systems (2 papers) and Sparse and Compressive Sensing Techniques (1 paper). The work is most often cited by research in Computational Mathematics (29 citations), Computer Vision and Pattern Recognition (585 citations), Human-Computer Interaction (156 citations), Artificial Intelligence (231 citations) and Signal Processing (52 citations). Shu-Fai Wong has collaborated with scholars based in United Kingdom, South Sudan and Hong Kong. Frequent co-authors include Roberto Cipolla, Tae‐Kyun Kim, Björn Stenger, Josef Kittler and Kenneth K. Wong. Their work appears in journals such as The HKU Scholars Hub (University of Hong Kong) and Cambridge University Engineering Department Publications Database.

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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