Kai-Fu Lee

2.2k total citations
33 papers, 1.4k citations indexed

About

Kai-Fu Lee is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Kai-Fu Lee has authored 33 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Artificial Intelligence, 15 papers in Signal Processing and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Kai-Fu Lee's work include Speech Recognition and Synthesis (23 papers), Speech and Audio Processing (14 papers) and Music and Audio Processing (9 papers). Kai-Fu Lee is often cited by papers focused on Speech Recognition and Synthesis (23 papers), Speech and Audio Processing (14 papers) and Music and Audio Processing (9 papers). Kai-Fu Lee collaborates with scholars based in United States, United Kingdom and China. Kai-Fu Lee's co-authors include Raj Reddy, Hsiao-Wuen Hon, Mei-Yuh Hwang, Sanjoy Mahajan, Xuedong Huang, Roni Rosenfeld, F. Alleva, Chao Huang, Eric Chang and Jian-Lai Zhou and has published in prestigious journals such as Nature Biotechnology, The Journal of the Acoustical Society of America and Artificial Intelligence.

In The Last Decade

Kai-Fu Lee

28 papers receiving 1.2k citations

Peers

Kai-Fu Lee

AI

SP

CVPR

ECP

CNC

J. G. Wilpon United States

Guillaume Gravier France

Michael Riley United States

Joan Serrà Spain

Hiroshi Shimodaira Japan

Murat Saraçlar Türkiye

Jean‐Paul Haton France

Mark Barnard United Kingdom

David S. Pallett United States

Spyros Matsoukas United States

J. G. Wilpon United States

Kai-Fu Lee

1.5k ×1.2

AI

1.0k ×1.5

SP

266 ×1.4

CVPR

92 ×0.9

ECP

34 ×0.8

CNC

Citations per year, relative to Kai-Fu Lee Kai-Fu Lee (= 1×) peers J. G. Wilpon

Countries citing papers authored by Kai-Fu Lee

Since Specialization

Citations

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

Fields of papers citing papers by Kai-Fu Lee

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kai-Fu 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 Kai-Fu Lee. The network helps show where Kai-Fu Lee may publish in the future.

Co-authorship network of co-authors of Kai-Fu Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Kai-Fu Lee. A scholar is included among the top collaborators of Kai-Fu 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 Kai-Fu Lee. Kai-Fu Lee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

1.

Zhavoronkov, Alex, Evelyne Bischof, & Kai-Fu Lee. (2021). Artificial intelligence in longevity medicine. Nature Aging. 1(1). 5–7. 37 indexed citations

2.

Topol, Eric J. & Kai-Fu Lee. (2019). It takes a planet. Nature Biotechnology. 37(8). 858–861. 5 indexed citations

3.

Hayamizu, Satoru, Kai-Fu Lee, & Hsiao-Wuen Hon. (2018). Description of acoustic variations by hidden Markov models with tree structure. Figshare.

4.

Lee, Kai-Fu. (2018). Incremental network generation in template-based word recognition. Figshare.

5.

Lee, Kai-Fu & Sanjoy Mahajan. (2018). BILL : a table-based, knowledge-intensive othello program. KiltHub Repository.

6.

Huang, Xuedong, Hsiao-Wuen Hon, & Kai-Fu Lee. (2018). Multiple codebook semi-continuous hidden Markov models for speaker-independent continuous speech recognition. Research Showcase @ Carnegie Mellon University (Carnegie Mellon University).

7.

Lee, Kai-Fu. (2008). Delighting Chinese users. 1–1. 1 indexed citations

8.

Chang, Eric, et al.. (2000). Large vocabulary Mandarin speech recognition with different approaches in modeling tones. vol. 2, 983–986. 60 indexed citations

9.

Lee, Kai-Fu, et al.. (2000). Discriminative training on language model. vol. 1, 493–496. 29 indexed citations

10.

Huang, Xuedong, F. Alleva, Hsiao-Wuen Hon, et al.. (1993). The SPHINX-II speech recognition system: an overview. Computer Speech & Language. 7(2). 137–148. 268 indexed citations

11.

Waibel, Alex, et al.. (1991). Recent work in continuous speech recognition using the connectionist viterbi training procedure. 1213–1216. 4 indexed citations

12.

Lee, Kai-Fu, Hsiao-Wuen Hon, Mei-Yuh Hwang, & Sanjoy Mahajan. (1990). Recent progress and future outlook of the SPHINX speech recognition system. Computer Speech & Language. 4(1). 57–69. 6 indexed citations

13.

Hayamizu, Satoru, Kai-Fu Lee, & Hsiao-Wuen Hon. (1990). Description of acoustic variations by tree-based phone modeling. 705–708. 4 indexed citations

14.

Hon, Hsiao-Wuen, et al.. (1989). Towards speech recognition without vocabulary-specific training. 271–271. 17 indexed citations

15.

Huang, Xuedong, Hsiao-Wuen Hon, & Kai-Fu Lee. (1989). Large-vocabulary speaker-independent continuous speech recognition with semi-continuous hidden Markov models. 1163–1166. 4 indexed citations

16.

Hwang, Mei-Yuh, Hsiao-Wuen Hon, & Kai-Fu Lee. (1989). Interword coarticulation modeling for continuous speech recognition. The Journal of the Acoustical Society of America. 85(S1). S124–S124. 10 indexed citations

17.

Hwang, Mei-Yuh, Hsiao-Wuen Hon, & Kai-Fu Lee. (1989). Modeling between-word coarticulation in continuous speech recognition. 1005–1008. 18 indexed citations

18.

Lee, Kai-Fu, et al.. (1988). Automatic Speech Recognition: The Development of the Sphinx Recognition System. Kluwer Academic Publishers eBooks. 84 indexed citations

19.

Lee, Kai-Fu. (1988). On large-vocabulary speaker-independent continuous speech recognition. Speech Communication. 7(4). 375–379. 56 indexed citations

20.

Lee, Kai-Fu & Sanjoy Mahajan. (1988). A pattern classification approach to evaluation function learning. Artificial Intelligence. 36(1). 1–25. 45 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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