Loong‐Fah Cheong
- Computer Vision and Pattern Recognition top 0.5%
- Aerospace Engineering top 5%
- Artificial Intelligence top 5%
- Media Technology top 2%
- Biomedical Engineering
- Co-authors
- Hee Lin WangShuicheng YanRobby T. TanJu SunRuoteng LiZhuwen LiNianjuan JiangTat‐Seng Chua
- Topics
- Advanced Vision and Imaging (42 papers)Advanced Image and Video Retrieval Techniques (17 papers)Optical measurement and interference techniques (16 papers)
- Cited by
- Computer Vision and Pattern RecognitionComputer Graphics and Computer-Aided DesignMedia Technology
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceIEEE Transactions on Image ProcessingACM Transactions on Graphics
- Partner nations
- SingaporeUnited StatesChina
In The Last Decade
Loong‐Fah Cheong
62 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 104
- Computer Vision and Pattern Recognition 1.9k
- Aerospace Engineering 330
- Artificial Intelligence 315
- Media Technology 224
- Biomedical Engineering 142
Countries citing papers authored by Loong‐Fah Cheong
This map shows the geographic impact of Loong‐Fah Cheong'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 Loong‐Fah Cheong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Loong‐Fah Cheong more than expected).
Fields of papers citing papers by Loong‐Fah Cheong
This network shows the impact of papers produced by Loong‐Fah Cheong. 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 Loong‐Fah Cheong. The network helps show where Loong‐Fah Cheong may publish in the future.
Co-authorship network of co-authors of Loong‐Fah Cheong
This figure shows the co-authorship network connecting the top 25 collaborators of Loong‐Fah Cheong. A scholar is included among the top collaborators of Loong‐Fah Cheong 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 Loong‐Fah Cheong. Loong‐Fah Cheong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 14 | |
| 2 | 34 | |
| 3 | 37 | |
| 4 | 0 | |
| 5 | 4 | |
| 6 | 95 | |
| 7 | 204 | |
| 8 | 0 | |
| 9 | 41 | |
| 10 | 245 | |
| 11 | 2 | |
| 12 | Formulation and Use of Time-to-Collision in Content-Based Retrieval | 1 |
| 13 | 6 | |
| 14 | 19 | |
| 15 | 54 | |
| 16 | 0 | |
| 17 | 11 | |
| 18 | 6 | |
| 19 | 7 | |
| 20 | 13 |
About Loong‐Fah Cheong
Loong‐Fah Cheong is a scholar working on Computational Mathematics, Computer Vision and Pattern Recognition and Aerospace Engineering, having authored 66 papers that have together received 2.1k indexed citations. Recurring topics across this work include Advanced Vision and Imaging (42 papers), Advanced Image and Video Retrieval Techniques (17 papers) and Optical measurement and interference techniques (16 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.9k citations), Computer Graphics and Computer-Aided Design (89 citations) and Media Technology (224 citations). Loong‐Fah Cheong has collaborated with scholars based in Singapore, United States and China. Frequent co-authors include Hee Lin Wang, Shuicheng Yan, Robby T. Tan, Ju Sun, Ruoteng Li, Zhuwen Li, Nianjuan Jiang, Tat‐Seng Chua, Ping Tan and Steven Zhiying Zhou. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and ACM Transactions on Graphics.
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.