Cheung-Chi Leung
- Artificial Intelligence top 2%
- Signal Processing top 1%
- Computer Vision and Pattern Recognition top 10%
- Experimental and Cognitive Psychology
- Information Systems
- Topics
- Speech Recognition and Synthesis (46 papers)Music and Audio Processing (36 papers)Natural Language Processing Techniques (27 papers)
In The Last Decade
Cheung-Chi Leung
53 papers receiving 669 citations
Peers
Comparison fields: 5 of 51
- Artificial Intelligence 684
- Signal Processing 537
- Computer Vision and Pattern Recognition 63
- Experimental and Cognitive Psychology 36
- Information Systems 19
Countries citing papers authored by Cheung-Chi Leung
This map shows the geographic impact of Cheung-Chi Leung'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 Cheung-Chi Leung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cheung-Chi Leung more than expected).
Fields of papers citing papers by Cheung-Chi Leung
This network shows the impact of papers produced by Cheung-Chi Leung. 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 Cheung-Chi Leung. The network helps show where Cheung-Chi Leung may publish in the future.
Co-authorship network of co-authors of Cheung-Chi Leung
This figure shows the co-authorship network connecting the top 25 collaborators of Cheung-Chi Leung. A scholar is included among the top collaborators of Cheung-Chi Leung 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 Cheung-Chi Leung. Cheung-Chi Leung 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 | 3 | |
| 3 | 12 | |
| 4 | 10 | |
| 5 | 14 | |
| 6 | The NNI Query-by-Example System for MediaEval 2015 | 15 |
| 7 | 15 | |
| 8 | 2 | |
| 9 | The NNI Query-by-Example System for MediaEval 2014 | 19 |
| 10 | 19 | |
| 11 | 54 | |
| 12 | Broadcast News Story Segmentation Using Manifold Learning on Latent Topic Distributions | 3 |
| 13 | 39 | |
| 14 | 3 | |
| 15 | Parallel Acoustic Model Adaptation for Improving Phonotactic Language Recognition. | 2 |
| 16 | Detection target dependent score calibration for language recognition. | 0 |
| 17 | 11 | |
| 18 | 2 | |
| 19 | 3 | |
| 20 | 7 |
About Cheung-Chi Leung
Cheung-Chi Leung is a scholar working on Signal Processing, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 57 papers that have together received 748 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (46 papers), Music and Audio Processing (36 papers) and Natural Language Processing Techniques (27 papers). The work is most often cited by research in Signal Processing (537 citations), Artificial Intelligence (684 citations) and Computer Vision and Pattern Recognition (63 citations). Cheung-Chi Leung has collaborated with scholars based in Singapore, China and Hong Kong. Frequent co-authors include Bin Ma, Haizhou Li, Tan Lee, Lei Xie, Hongjie Chen, Haipeng Wang, Sunil Sivadas, Chongjia Ni, Haipeng Wang and Brian Mak. Their work appears in journals such as IEEE Access, Sensors and IEEE Signal Processing Letters.
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.