K.-F. Lee

2.2k total citations · 1 hit paper
11 papers, 1.2k citations indexed

About

K.-F. Lee is a scholar working on Artificial Intelligence, Signal Processing and Infectious Diseases. According to data from OpenAlex, K.-F. Lee has authored 11 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 9 papers in Signal Processing and 0 papers in Infectious Diseases. Recurrent topics in K.-F. Lee's work include Speech Recognition and Synthesis (11 papers), Speech and Audio Processing (7 papers) and Music and Audio Processing (5 papers). K.-F. Lee is often cited by papers focused on Speech Recognition and Synthesis (11 papers), Speech and Audio Processing (7 papers) and Music and Audio Processing (5 papers). K.-F. Lee collaborates with scholars based in United States. K.-F. Lee's co-authors include Hsiao-Wuen Hon, R. Reddy, Alexander Waibel, Sanjoy Mahajan, Xuedong Huang, Minjoo Hwang, Satoru Hayamizu, Chenn‐Jung Huang, Jordan Swartz and Michael Witbrock and has published in prestigious journals such as IEEE Transactions on Acoustics Speech and Signal Processing and International Conference on Acoustics, Speech, and Signal Processing.

In The Last Decade

K.-F. Lee

10 papers receiving 1.1k citations

Hit Papers

Speaker-independent phone recognition using hidden Markov... 1989 2026 2001 2013 1989 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
K.-F. Lee United States 9 1.1k 895 201 70 38 11 1.2k
Mei-Yuh Hwang United States 20 1.3k 1.2× 728 0.8× 221 1.1× 77 1.1× 22 0.6× 68 1.5k
Khe Chai Sim Singapore 21 1.6k 1.5× 1.2k 1.3× 157 0.8× 50 0.7× 41 1.1× 111 1.8k
J. G. Wilpon United States 23 1.5k 1.4× 1.0k 1.2× 266 1.3× 92 1.3× 24 0.6× 65 1.7k
Seiichi Nakagawa Japan 21 1.3k 1.3× 1.0k 1.2× 187 0.9× 159 2.3× 54 1.4× 257 1.6k
Pietro Laface Italy 21 1.4k 1.3× 1.1k 1.2× 131 0.7× 154 2.2× 46 1.2× 104 1.6k
C.-H. Lee United States 15 1.1k 1.0× 889 1.0× 223 1.1× 54 0.8× 18 0.5× 34 1.3k
Rohit Prabhavalkar United States 21 1.6k 1.5× 1.0k 1.2× 154 0.8× 36 0.5× 29 0.8× 59 1.8k
Xavier Anguera Spain 21 1.4k 1.3× 1.4k 1.6× 273 1.4× 60 0.9× 40 1.1× 82 1.8k
Roland Kühn Canada 21 2.0k 1.9× 596 0.7× 244 1.2× 46 0.7× 19 0.5× 75 2.1k
Tom Ko China 13 1.6k 1.5× 1.3k 1.4× 167 0.8× 107 1.5× 34 0.9× 44 1.8k

Countries citing papers authored by K.-F. Lee

Since Specialization
Citations

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

Fields of papers citing papers by K.-F. Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of K.-F. Lee

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

All Works

11 of 11 papers shown
1.
Lee, K.-F., Hsiao-Wuen Hon, Minjoo Hwang, Sanjoy Mahajan, & R. Reddy. (2003). The SPHINX speech recognition system. International Conference on Acoustics, Speech, and Signal Processing. 445–448. 24 indexed citations
2.
Lee, K.-F. & Hsiao-Wuen Hon. (2003). Large-vocabulary speaker-independent continuous speech recognition using HMM. 123–126. 33 indexed citations
3.
Witbrock, Michael, et al.. (2003). A connectionist approach to continuous speech recognition. International Conference on Acoustics, Speech, and Signal Processing. 425–428.
4.
Huang, Xuedong, K.-F. Lee, & Hsiao-Wuen Hon. (2002). On semi-continuous hidden Markov modeling. International Conference on Acoustics, Speech, and Signal Processing. 689–692. 16 indexed citations
5.
Lee, K.-F., et al.. (2002). Connectionist Viterbi training: a new hybrid method for continuous speech recognition. International Conference on Acoustics, Speech, and Signal Processing. 425–428. 32 indexed citations
6.
Hon, Hsiao-Wuen & K.-F. Lee. (2002). On vocabulary-independent speech modeling. International Conference on Acoustics, Speech, and Signal Processing. 725–728. 8 indexed citations
7.
Lee, K.-F., et al.. (2002). Allophone clustering for continuous speech recognition. International Conference on Acoustics, Speech, and Signal Processing. 749–752. 18 indexed citations
8.
Hon, Hsiao-Wuen & K.-F. Lee. (1991). CMU robust vocabulary-independent speech recognition system. 889–892 vol.2. 12 indexed citations
9.
Lee, K.-F., Hsiao-Wuen Hon, & R. Reddy. (1990). An overview of the SPHINX speech recognition system. IEEE Transactions on Acoustics Speech and Signal Processing. 38(1). 35–45. 296 indexed citations
10.
Lee, K.-F.. (1990). Context-independent phonetic hidden Markov models for speaker-independent continuous speech recognition. IEEE Transactions on Acoustics Speech and Signal Processing. 38(4). 599–609. 116 indexed citations
11.
Lee, K.-F. & Hsiao-Wuen Hon. (1989). Speaker-independent phone recognition using hidden Markov models. IEEE Transactions on Acoustics Speech and Signal Processing. 37(11). 1641–1648. 687 indexed citations breakdown →

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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