Pak Hung Chan
- Electrical and Electronic Engineering
- Computer Vision and Pattern Recognition top 10%
- Instrumentation top 5%
- Atomic and Molecular Physics, and Optics
- Automotive Engineering
- Co-authors
- Valentina DonzellaAndrew D. MooreGunwant DhadyallaJonathan RobinsonMatthew D. HigginsYi‐Ting WangAnthony C. HuggettPaul Jennings
- Topics
- Autonomous Vehicle Technology and Safety (6 papers)Advanced Optical Sensing Technologies (4 papers)Advanced Neural Network Applications (4 papers)
- Partner nations
- United KingdomItalyGermany
In The Last Decade
Pak Hung Chan
15 papers receiving 323 citations
Peers
Comparison fields: 5 of 49
- Electrical and Electronic Engineering 149
- Computer Vision and Pattern Recognition 87
- Instrumentation 76
- Atomic and Molecular Physics, and Optics 67
- Automotive Engineering 46
Countries citing papers authored by Pak Hung Chan
This map shows the geographic impact of Pak Hung Chan'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 Pak Hung Chan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pak Hung Chan more than expected).
Fields of papers citing papers by Pak Hung Chan
This network shows the impact of papers produced by Pak Hung Chan. 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 Pak Hung Chan. The network helps show where Pak Hung Chan may publish in the future.
Co-authorship network of co-authors of Pak Hung Chan
This figure shows the co-authorship network connecting the top 25 collaborators of Pak Hung Chan. A scholar is included among the top collaborators of Pak Hung Chan 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 Pak Hung Chan. Pak Hung Chan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 4 | |
| 6 | 0 | |
| 7 | 1 | |
| 8 | 0 | |
| 9 | 18 | |
| 10 | 4 | |
| 11 | 12 | |
| 12 | 0 | |
| 13 | 4 | |
| 14 | 22 | |
| 15 | 11 | |
| 16 | 11 | |
| 17 | 36 | |
| 18 | 192 | |
| 19 | 31 |
About Pak Hung Chan
Pak Hung Chan is a scholar working on Instrumentation, Automotive Engineering and Computer Vision and Pattern Recognition, having authored 19 papers that have together received 350 indexed citations. Recurring topics across this work include Autonomous Vehicle Technology and Safety (6 papers), Advanced Optical Sensing Technologies (4 papers) and Advanced Neural Network Applications (4 papers). The work is most often cited by research in Instrumentation (76 citations), Computer Vision and Pattern Recognition (87 citations) and Automotive Engineering (46 citations). Pak Hung Chan has collaborated with scholars based in United Kingdom, Italy and Germany. Frequent co-authors include Valentina Donzella, Andrew D. Moore, Gunwant Dhadyalla, Jonathan Robinson, Matthew D. Higgins, Yi‐Ting Wang, Anthony C. Huggett, Paul Jennings, Werner Huber and Pierre Duthon. Their work appears in journals such as IEEE Access, IEEE Transactions on Intelligent Transportation Systems and IEEE Sensors Journal.
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.