Daniel Pak-Kong Lun
- Computer Vision and Pattern Recognition top 1%
- Media Technology top 1%
- Signal Processing top 5%
- Electrical and Electronic Engineering
- Radiology, Nuclear Medicine and Imaging
- Topics
- Image and Signal Denoising Methods (41 papers)Digital Filter Design and Implementation (20 papers)Advanced Data Compression Techniques (19 papers)
- Journals
- SHILAP Revista de lepidopterologíaScientific ReportsIEEE Transactions on Image Processing
- Partner nations
- Hong KongChinaUnited States
In The Last Decade
Daniel Pak-Kong Lun
132 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 90
- Computer Vision and Pattern Recognition 887
- Media Technology 339
- Signal Processing 155
- Electrical and Electronic Engineering 108
- Radiology, Nuclear Medicine and Imaging 88
Countries citing papers authored by Daniel Pak-Kong Lun
This map shows the geographic impact of Daniel Pak-Kong Lun'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 Daniel Pak-Kong Lun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Pak-Kong Lun more than expected).
Fields of papers citing papers by Daniel Pak-Kong Lun
This network shows the impact of papers produced by Daniel Pak-Kong Lun. 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 Daniel Pak-Kong Lun. The network helps show where Daniel Pak-Kong Lun may publish in the future.
Co-authorship network of co-authors of Daniel Pak-Kong Lun
This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Pak-Kong Lun. A scholar is included among the top collaborators of Daniel Pak-Kong Lun 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 Daniel Pak-Kong Lun. Daniel Pak-Kong Lun is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 5 | |
| 6 | 2 | |
| 7 | 6 | |
| 8 | 3 | |
| 9 | 17 | |
| 10 | NTGAN: Learning Blind Image Denoising without Clean Reference | 3 |
| 11 | 22 | |
| 12 | 25 | |
| 13 | 10 | |
| 14 | A new approach to compress color-indexed images | 1 |
| 15 | 15 | |
| 16 | 10 | |
| 17 | 6 | |
| 18 | Road Traffic Monitoring System Using content-Based scalable h.263 Video Coding Scheme | 1 |
| 19 | 5 | |
| 20 | 19 |
About Daniel Pak-Kong Lun
Daniel Pak-Kong Lun is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Media Technology, having authored 147 papers that have together received 1.2k indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (41 papers), Digital Filter Design and Implementation (20 papers) and Advanced Data Compression Techniques (19 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (887 citations), Media Technology (339 citations) and Signal Processing (155 citations). Daniel Pak-Kong Lun has collaborated with scholars based in Hong Kong, China and United States. Frequent co-authors include Tai-Chiu Hsung, Wan-Chi Siu, Zhi-Song Liu, Yuk‐Hee Chan, Kin‐Man Lam, Rui Zhao, Tianshan Liu, W.C. Siu, K. C. Ho and Zixun Huang. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Transactions on Image Processing.
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.