Chin‐Hui Lee

17.6k total citations · 4 hit papers
462 papers, 12.0k citations indexed

About

Chin‐Hui Lee is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Chin‐Hui Lee has authored 462 papers receiving a total of 12.0k indexed citations (citations by other indexed papers that have themselves been cited), including 372 papers in Artificial Intelligence, 318 papers in Signal Processing and 56 papers in Computer Vision and Pattern Recognition. Recurrent topics in Chin‐Hui Lee's work include Speech Recognition and Synthesis (319 papers), Speech and Audio Processing (300 papers) and Music and Audio Processing (203 papers). Chin‐Hui Lee is often cited by papers focused on Speech Recognition and Synthesis (319 papers), Speech and Audio Processing (300 papers) and Music and Audio Processing (203 papers). Chin‐Hui Lee collaborates with scholars based in United States, China and Italy. Chin‐Hui Lee's co-authors include Jun Du, J.-L. Gauvain, Li-Rong Dai, Yong Xu, Sabato Marco Siniscalchi, Biing‐Hwang Juang, A. Sankar, Wu Hou, Qiang Huo and Frank K. Soong and has published in prestigious journals such as Journal of Clinical Oncology, NeuroImage and Proceedings of the IEEE.

In The Last Decade

Chin‐Hui Lee

449 papers receiving 10.7k citations

Hit Papers

Maximum a posteriori estimation for multivariate Gaussian... 1994 2026 2004 2015 1994 2014 2013 2019 400 800 1.2k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Maximum a posteriori estimation for multivariate Gaussian mixture observations of Markov chains
    1994 1.5k citations Chin‐Hui Lee et al. profile →
  2. A Regression Approach to Speech Enhancement Based on Deep Neural Networks
    2014 935 citations Jun Du, Li-Rong Dai et al. IEEE/ACM Transactions on Audio Speech and Language Processing profile →
  3. An Experimental Study on Speech Enhancement Based on Deep Neural Networks
    2013 676 citations Jun Du, Li-Rong Dai et al. profile →
  4. A deep learning approach to automatic teeth detection and numbering based on object detection in dental periapical films
    2019 223 citations Ji Wu, Chin‐Hui Lee et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Chin‐Hui Lee United States 51 8.7k 8.4k 1.5k 1.3k 1.0k 462 12.0k
Shinji Watanabe United States 54 9.7k 1.1× 8.1k 1.0× 1.0k 0.7× 1.0k 0.8× 530 0.5× 547 12.6k
Daniel Povey United States 50 13.8k 1.6× 10.7k 1.3× 1.3k 0.9× 336 0.3× 297 0.3× 178 15.7k
Bhiksha Raj United States 35 2.8k 0.3× 3.6k 0.4× 2.5k 1.6× 894 0.7× 401 0.4× 236 6.3k
Sridha Sridharan Australia 44 3.2k 0.4× 3.2k 0.4× 3.9k 2.6× 305 0.2× 707 0.7× 480 8.3k
Junichi Yamagishi Japan 48 8.3k 1.0× 7.1k 0.8× 2.0k 1.3× 314 0.2× 391 0.4× 388 10.8k
Yu Tsao Taiwan 34 2.4k 0.3× 3.2k 0.4× 632 0.4× 814 0.6× 828 0.8× 328 5.4k
Li-Rong Dai China 34 3.8k 0.4× 4.3k 0.5× 1.1k 0.7× 1.1k 0.8× 576 0.6× 323 5.9k
B. Yegnanarayana India 45 4.8k 0.6× 5.3k 0.6× 1.1k 0.7× 653 0.5× 339 0.3× 310 7.3k
Kiyohiro Shikano Japan 36 4.9k 0.6× 5.2k 0.6× 975 0.6× 1.1k 0.9× 396 0.4× 417 7.4k
Mark D. Plumbley United Kingdom 43 1.6k 0.2× 4.9k 0.6× 2.5k 1.6× 863 0.7× 678 0.7× 284 7.0k

Countries citing papers authored by Chin‐Hui Lee

Since Specialization
Citations

This map shows the geographic impact of Chin‐Hui Lee'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 Chin‐Hui Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chin‐Hui Lee more than expected).

Fields of papers citing papers by Chin‐Hui Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chin‐Hui Lee. 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 Chin‐Hui Lee. The network helps show where Chin‐Hui Lee may publish in the future.

Co-authorship network of co-authors of Chin‐Hui Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Chin‐Hui Lee. A scholar is included among the top collaborators of Chin‐Hui Lee 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 Chin‐Hui Lee. Chin‐Hui Lee 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
1.
Wang, Qing, et al.. (2024). Collaborative Viseme Subword and End-to-End Modeling for Word-Level Lip Reading. IEEE Transactions on Multimedia. 26. 9358–9371. 2 indexed citations
2.
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Wang, Qing, Jun Du, Siyuan Zheng, et al.. (2022). A Study on Joint Modeling and Data Augmentation of Multi-Modalities for Audio-Visual Scene Classification. Nova Science Publishers (Nova Science Publishers, Inc.). 453–457. 2 indexed citations
5.
6.
Yang, Chao-Han Huck, Jun Qi, Sabato Marco Siniscalchi, & Chin‐Hui Lee. (2022). An Ensemble Teacher-Student Learning Approach with Poisson Sub-sampling to Differential Privacy Preserving Speech Recognition. Nova Science Publishers (Nova Science Publishers, Inc.). 1–5. 3 indexed citations
7.
Yang, Chao-Han Huck, Sabato Marco Siniscalchi, & Chin‐Hui Lee. (2021). PATE-AAE: Incorporating Adversarial Autoencoder into Private Aggregation of Teacher Ensembles for Spoken Command Classification. Nova Science Publishers (Nova Science Publishers, Inc.). 10 indexed citations
8.
Du, Jun, et al.. (2021). Correlating subword articulation with lip shapes for embedding aware audio-visual speech enhancement. Neural Networks. 143. 171–182. 16 indexed citations
9.
Yang, Chao-Han Huck, Jun Qi, Pin‐Yu Chen, et al.. (2020). Enhanced Adversarial Strategically-Timed Attacks against Deep Reinforcement Learning. arXiv (Cornell University). 11 indexed citations
10.
Li, Wei, Sicheng Wang, Ming Lei, Sabato Marco Siniscalchi, & Chin‐Hui Lee. (2019). Improving Audio-visual Speech Recognition Performance with Cross-modal Student-teacher Training. Nova Science Publishers (Nova Science Publishers, Inc.). 6560–6564. 13 indexed citations
11.
Du, Jun, et al.. (2019). Using Generalized Gaussian Distributions to Improve Regression Error Modeling for Deep Learning-Based Speech Enhancement. IEEE/ACM Transactions on Audio Speech and Language Processing. 27(12). 1919–1931. 20 indexed citations
12.
Wang, Qing, Jun Du, Li-Rong Dai, & Chin‐Hui Lee. (2017). Joint noise and mask aware training for DNN-based speech enhancement with SUB-band features. 101–105. 13 indexed citations
13.
Wu, Ji, Miao Li, & Chin‐Hui Lee. (2015). A Probabilistic Framework for Representing Dialog Systems and Entropy-Based Dialog Management Through Dynamic Stochastic State Evolution. IEEE/ACM Transactions on Audio Speech and Language Processing. 23(11). 2026–2035. 10 indexed citations
14.
Shen, Zhiyuan, Naizhang Feng, Yi Shen, & Chin‐Hui Lee. (2013). An Improved Parametric Relaxation Approach to Blood Flow Signal Estimation with Single-Ensemble Samples in Color Flow Imaging. Journal of Medical and Biological Engineering. 33(3). 309–317. 2 indexed citations
15.
Li, Jinyu, Ming Yuan, & Chin‐Hui Lee. (2011). LASSO model adaptation for automatic speech recognition. International Conference on Machine Learning. 7 indexed citations
16.
Siniscalchi, Sabato Marco, et al.. (2009). MINIMUM CLASSIFICATION ERROR TRAINING TO IMPROVE ISOLATED CHORD RECOGNITION. International Symposium/Conference on Music Information Retrieval. 609–614. 11 indexed citations
17.
Lee, Chin‐Hui. (2003). On Automatic Speech Recognition at the Dawn of the 21st Century. IEICE Transactions on Information and Systems. 86(3). 377–396. 14 indexed citations
18.
Potamianos, Alexandros, et al.. (2000). DESIGN PRINCIPLES AND TOOLS FOR MULTIMODAL DIALOG SYSTEMS. 118(31). 14 indexed citations
19.
Lee, Chin‐Hui, Frank K. Soong, & Kuldip K. Paliwal. (1999). Automatic Speech and Speaker Recognition: Advanced Topics. CERN Document Server (European Organization for Nuclear Research). 114 indexed citations
20.

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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2026