A.C.K. Chan
Impact in
- Signal Processing top 10%
- Speech and Audio Processing
- Music and Audio Processing
- Artificial Intelligence top 10%
- Speech Recognition and Synthesis
- Speech and dialogue systems
- Natural Language Processing Techniques
Papers in
-
- Semiconductor materials and devices 11
- Advancements in Semiconductor Devices and Circuit Design 8
- Thin-Film Transistor Technologies 4
- Advanced Memory and Neural Computing 2
-
- Complement system in diseases 2
- Co-authors
- Mosur Ravishankar (1 shared paper)Alexander I. Rudnicky (1 shared paper)Mohit Kumar (1 shared paper)Alan W. Black (1 shared paper)David Huggins-Daines (1 shared paper)Mansun Chan (11 shared papers)Man-Hung Siu (1 shared paper)Graeme M. Birdsey (1 shared paper)
- Journals
- IEEE Electron Device Letters (3 papers)IEEE Transactions on Electron Devices (3 papers)Blood (3 papers)Semiconductor Science and Technology (1 paper)Japanese Journal of Applied Physics (1 paper)
- Partner nations
- Hong KongUnited StatesNetherlands
In The Last Decade
A.C.K. Chan
16 papers receiving 380 citations
Peers
Comparison fields: 5 of 86
- Signal Processing 95
- Artificial Intelligence 157
- Human-Computer Interaction 23
- Computer Vision and Pattern Recognition 70
- Hematology 35
Countries citing papers authored by A.C.K. Chan
This map shows the geographic impact of A.C.K. 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 A.C.K. Chan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A.C.K. Chan more than expected).
Fields of papers citing papers by A.C.K. Chan
This network shows the impact of papers produced by A.C.K. 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 A.C.K. Chan. The network helps show where A.C.K. Chan may publish in the future.
Co-authors
The 25 scholars most cited alongside A.C.K. Chan, 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 | 2006 | 280 | |
| 2 | 2010 | 46 | |
| 3 | 2006 | 15 | |
| 4 | 2004 | 15 | |
| 5 | 2001 | 14 | |
| 6 | 2003 | 9 | |
| 7 | 2005 | 8 | |
| 8 | 2022 | 7 | |
| 9 | 2006 | 6 | |
| 10 | 2004 | 3 | |
| 11 | 2003 | 2 | |
| 12 | 1999 | 2 | |
| 13 | 2004 | 2 | |
| 14 | 2011 | 2 | |
| 15 | 2003 | 1 | |
| 16 | 2011 | 1 | |
| 17 | 2005 | 0 |
About A.C.K. Chan
A.C.K. Chan is a scholar working on Electrical and Electronic Engineering, Immunology, Molecular Biology, Signal Processing and Computational Mechanics, having authored 17 papers that have together received 413 indexed citations. Recurring topics across this work include Semiconductor materials and devices (11 papers), Advancements in Semiconductor Devices and Circuit Design (8 papers), Thin-Film Transistor Technologies (4 papers), Speech and Audio Processing (2 papers), Complement system in diseases (2 papers), Platelet Disorders and Treatments (2 papers), Glycosylation and Glycoproteins Research (2 papers) and Advanced Memory and Neural Computing (2 papers). The work is most often cited by research in Signal Processing (95 citations), Artificial Intelligence (157 citations), Human-Computer Interaction (23 citations), Computer Vision and Pattern Recognition (70 citations) and Hematology (35 citations). A.C.K. Chan has collaborated with scholars based in Hong Kong, United States and Netherlands. Frequent co-authors include Mosur Ravishankar, Alexander I. Rudnicky, Mohit Kumar, Alan W. Black, David Huggins-Daines, Mansun Chan, Man-Hung Siu, Graeme M. Birdsey, David A. Lane and Elizabeth C. Goode. Their work appears in journals such as IEEE Electron Device Letters, IEEE Transactions on Electron Devices, Blood, Semiconductor Science and Technology and Japanese Journal of Applied Physics.
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.