Cheung-Chi Leung

1.1k total citations
57 papers, 748 citations indexed

About

Cheung-Chi Leung is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Cheung-Chi Leung has authored 57 papers receiving a total of 748 indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Artificial Intelligence, 43 papers in Signal Processing and 7 papers in Computer Vision and Pattern Recognition. Recurrent topics in Cheung-Chi Leung's work include Speech Recognition and Synthesis (46 papers), Music and Audio Processing (36 papers) and Natural Language Processing Techniques (27 papers). Cheung-Chi Leung is often cited by papers focused on Speech Recognition and Synthesis (46 papers), Music and Audio Processing (36 papers) and Natural Language Processing Techniques (27 papers). Cheung-Chi Leung collaborates with scholars based in Singapore, China and Hong Kong. Cheung-Chi Leung's co-authors include Bin Ma, Haizhou Li, Tan Lee, Lei Xie, Hongjie Chen, Haipeng Wang, Sunil Sivadas, Chongjia Ni, Haipeng Wang and Brian Mak and has published in prestigious journals such as IEEE Access, Sensors and IEEE Signal Processing Letters.

In The Last Decade

Cheung-Chi Leung

53 papers receiving 669 citations

Peers

Cheung-Chi Leung
Kate Knill United Kingdom
Anton Ragni United Kingdom
Jan Trmal United States
S.E. Tranter United Kingdom
Jiatong Shi United States
Andrew Morris Switzerland
Thomas Merritt United Kingdom
Kate Knill United Kingdom
Cheung-Chi Leung
Citations per year, relative to Cheung-Chi Leung Cheung-Chi Leung (= 1×) peers Kate Knill

Countries citing papers authored by Cheung-Chi Leung

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
2.
Ni, Chongjia, et al.. (2021). Preventing Early Endpointing for Online Automatic Speech Recognition. 6813–6817. 3 indexed citations
3.
Ni, Chongjia, et al.. (2020). Speech Transformer with Speaker Aware Persistent Memory. 1261–1265. 12 indexed citations
4.
Leung, Cheung-Chi, et al.. (2019). Query-by-Example Speech Search Using Recurrent Neural Acoustic Word Embeddings With Temporal Context. IEEE Access. 7. 67656–67665. 10 indexed citations
5.
6.
Pham, Van Tung, Cheung-Chi Leung, Lei Wang, et al.. (2015). The NNI Query-by-Example System for MediaEval 2015. MediaEval. 15 indexed citations
7.
Xu, Haihua, Peng Yang, Xiong Xiao, et al.. (2015). Language independent query-by-example spoken term detection using N-best phone sequences and partial matching. 5191–5195. 15 indexed citations
8.
Lee, Tan, et al.. (2015). Supervised Single-Microphone Multi-Talker Speech Separation with Conditional Random Fields. IEEE/ACM Transactions on Audio Speech and Language Processing. 23(12). 2334–2342. 2 indexed citations
9.
Yang, Peng, Haihua Xu, Xiong Xiao, et al.. (2014). The NNI Query-by-Example System for MediaEval 2014. MediaEval. 19 indexed citations
10.
Yang, Peng, Cheung-Chi Leung, Lei Xie, Bin Ma, & Haizhou Li. (2014). Intrinsic spectral analysis based on temporal context features for query-by-example spoken term detection. 1722–1726. 19 indexed citations
11.
Mak, Brian, et al.. (2014). Joint acoustic modeling of triphones and trigraphemes by multi-task learning deep neural networks for low-resource speech recognition. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 5592–5596. 54 indexed citations
12.
Lu, Xiaoming, Lei Xie, Cheung-Chi Leung, Bin Ma, & Haizhou Li. (2013). Broadcast News Story Segmentation Using Manifold Learning on Latent Topic Distributions. Meeting of the Association for Computational Linguistics. 190–195. 3 indexed citations
13.
Wang, Haipeng, Tan Lee, Cheung-Chi Leung, Bin Ma, & Haizhou Li. (2013). Using parallel tokenizers with DTW matrix combination for low-resource spoken term detection. 8545–8549. 39 indexed citations
14.
Lee, Tan, et al.. (2013). Using dynamic conditional random field on single-microphone speech separation. 14. 146–150. 3 indexed citations
15.
Leung, Cheung-Chi, Bin Ma, & Haizhou Li. (2010). Parallel Acoustic Model Adaptation for Improving Phonotactic Language Recognition.. 41. 2 indexed citations
16.
Ng, Raymond W. M., Cheung-Chi Leung, Tan Lee, Bin Ma, & Haizhou Li. (2010). Detection target dependent score calibration for language recognition.. 18.
17.
Ng, Raymond W. M., Cheung-Chi Leung, Tan Lee, Bin Ma, & Haizhou Li. (2010). Prosodic attribute model for spoken language identification. 15. 5022–5025. 11 indexed citations
18.
Ng, Raymond W. M., Cheung-Chi Leung, Ville Hautamäki, et al.. (2010). Towards long-range prosodic attribute modeling for language recognition. 1792–1795. 2 indexed citations
19.
Leung, Cheung-Chi, Rong Tong, Bin Ma, & Haizhou Li. (2009). A Lattice-Based Phonotactic Language Recognition System with CMLLR Adaptation and Its Implementation Issues. 285–288. 3 indexed citations
20.
Leung, Cheung-Chi, et al.. (2008). Comparing prosodic models for speaker recognition. SPIRE - Sciences Po Institutional REpository. 1945–1948. 7 indexed citations

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.

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