Yeong-Khing Ho

866 citations
11 papers · 590 · h-index 8

Impact in

    • Face recognition and analysis
    • Face and Expression Recognition
    • Video Surveillance and Tracking Methods
    • Advanced Image and Video Retrieval Techniques
    • Advanced Vision and Imaging
    • Image Retrieval and Classification Techniques
    • Hand Gesture Recognition Systems

Papers in

Yeong-Khing Ho

10 papers receiving 538 citations

Peers

Yeong-Khing Ho
Comparison fields: 5 of 60
  • Computer Vision and Pattern Recognition 522
  • Human-Computer Interaction 70
  • Signal Processing 122
  • Control and Systems Engineering 53
  • Media Technology 20
Replace Xueyin Lin with:
Xueyin Lin China
Cen Rao United States
Chiraz BenAbdelkader United States
Atul Kanaujia United States
Stephan Liwicki United Kingdom
Michalis Raptis United States
Sameera Palipana Finland
Mauricio Correa Chile
Beibei Liu China
Hiroyasu Koshimizu Japan
Yeong-Khing Ho relative to Xueyin Lin China Xueyin Lin's profile →
Citations per field
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Citations per year

Countries citing papers authored by Yeong-Khing Ho

Since Specialization
Citations

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

Fields of papers citing papers by Yeong-Khing Ho

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yeong-Khing Ho. 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 Yeong-Khing Ho. The network helps show where Yeong-Khing Ho may publish in the future.

Co-authors

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

All Works

About Yeong-Khing Ho

Yeong-Khing Ho is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering, Human-Computer Interaction, Aerospace Engineering and Electrical and Electronic Engineering, having authored 11 papers that have together received 590 indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (4 papers), Face recognition and analysis (4 papers), Advanced Vision and Imaging (4 papers), Face and Expression Recognition (3 papers), Robot Manipulation and Learning (3 papers), Image Enhancement Techniques (3 papers), Image Retrieval and Classification Techniques (3 papers) and Hand Gesture Recognition Systems (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (522 citations), Human-Computer Interaction (70 citations), Signal Processing (122 citations), Control and Systems Engineering (53 citations) and Media Technology (20 citations). Yeong-Khing Ho has collaborated with scholars based in Singapore. Frequent co-authors include Chin-Seng Chua, Feng Han, Yingjie Wang, Ren Ying and Yingjie Wang. Their work appears in journals such as Pattern Recognition Letters, Machine Vision and Applications and Image and Vision Computing.

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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