Lai-Kuan Wong
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- Visual Attention and Saliency Detection 15
- Advanced Vision and Imaging 8
- Image Enhancement Techniques 7
- Advanced Image and Video Retrieval Techniques 6
- Generative Adversarial Networks and Image Synthesis 5
- Image Retrieval and Classification Techniques 5
- Media Technology top 10%
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- Aesthetic Perception and Analysis 6
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- Radiomics and Machine Learning in Medical Imaging 4
- Co-authors
- Kok‐Lim LowJohn SeeMd Baharul IslamWen-Huang ChengHongxia XieHong-Han ShuaiYung‐Hui LiShintami Chusnul Hidayati
- Cited by
- Computer Vision and Pattern RecognitionMedia TechnologyComputer Graphics and Computer-Aided Design
In The Last Decade
Lai-Kuan Wong
36 papers receiving 396 citations
Hit Papers
Peers
Comparison fields: 5 of 77
- Computer Vision and Pattern Recognition 302
- Media Technology 54
- Computer Graphics and Computer-Aided Design 19
- Cognitive Neuroscience 95
- Human-Computer Interaction 15
Countries citing papers authored by Lai-Kuan Wong
This map shows the geographic impact of Lai-Kuan 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 Lai-Kuan Wong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lai-Kuan Wong more than expected).
Fields of papers citing papers by Lai-Kuan Wong
This network shows the impact of papers produced by Lai-Kuan 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 Lai-Kuan Wong. The network helps show where Lai-Kuan Wong may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Lai-Kuan Wong, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | Lightweight Deep Learning for Resource-Constrained Environments: A Surveybreakdown → | 2024 | 59 |
| 3 | 2024 | 4 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 0 | |
| 6 | 2023 | 5 | |
| 7 | 2023 | 2 | |
| 8 | 2023 | 0 | |
| 9 | 2023 | 5 | |
| 10 | 2023 | 7 | |
| 11 | 2023 | 0 | |
| 12 | 2022 | 3 | |
| 13 | 2022 | 5 | |
| 14 | 2022 | 1 | |
| 15 | 2020 | 41 | |
| 16 | 2019 | 5 | |
| 17 | 2018 | 2 | |
| 18 | 2016 | 4 | |
| 19 | 2015 | 11 | |
| 20 | 2009 | 97 |
About Lai-Kuan Wong
Lai-Kuan Wong is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Health Informatics, having authored 43 papers that have together received 409 indexed citations. Recurring topics across this work include Visual Attention and Saliency Detection (15 papers), Advanced Vision and Imaging (8 papers), Image Enhancement Techniques (7 papers), Aesthetic Perception and Analysis (6 papers), Advanced Image and Video Retrieval Techniques (6 papers), Generative Adversarial Networks and Image Synthesis (5 papers), Image Retrieval and Classification Techniques (5 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (302 citations), Media Technology (54 citations) and Computer Graphics and Computer-Aided Design (19 citations). Lai-Kuan Wong has collaborated with scholars based in Malaysia, Singapore and China. Frequent co-authors include Kok‐Lim Low, John See, Md Baharul Islam, Wen-Huang Cheng, Hongxia Xie, Hong-Han Shuai, Yung‐Hui Li, Shintami Chusnul Hidayati, Cheng-Chun Hsu and Wen-Huang Cheng. Their work appears in journals such as ACM Computing Surveys, Pattern Recognition Letters and IEEE Transactions on Multimedia.
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.