World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
45
Citations
12856
World Ranking
7036
National Ranking
938

Overview

Kai-Fu Lee is affiliated with Sinovation Ventures in China and focuses research efforts primarily within the fields of Environmental Science and Medicine. Their scholarly work intersects several subfields including Health, Toxicology and Mutagenesis, Geriatrics and Gerontology, Demography, Epidemiology, and Aging.

The scientist's research covers a range of topics such as Health, Environment, Cognitive Aging; Frailty in Older Adults; Insurance, Mortality, Demography, Risk Management; Chronic Disease Management Strategies; and Genetics, Aging, and Longevity in Model Organisms.

Recent publication venues for Kai-Fu Lee include Nature Aging, The Lancet Healthy Longevity, and Aging. The recent papers comprise:

  • Artificial intelligence in longevity medicine (2021, Nature Aging)
  • Advanced pathological ageing should be represented in the ICD (2022, The Lancet Healthy Longevity)
  • Meeting Report: Aging Research and Drug Discovery (2022, Aging)

Frequent collaborators in Lee's research include Alex Zhavoronkov, Evelyne Bischof, Andrea B. Maier, David Sinclair, and Esther Meron. The number of joint publications varies, with the highest co-authorship counts linking to Alex Zhavoronkov and Evelyne Bischof.

Best Publications

  • Speaker-independent phone recognition using hidden Markov models

    K.-F. Lee;H.-W. Hon

  • Automatic speech recognition : the development of the SPHINX system

    Kai-Fu Lee;Raj Reddy

  • Search engine with natural language-based robust parsing for user query and relevance feedback learning

    Hai-Feng Wang;Kai-Fu Lee;Qiang Yang

  • An overview of the SPHINX speech recognition system

    K.-F. Lee;H.-W. Hon;R. Reddy

  • Automatic Speech Recognition

    Kai-Fu Lee

  • The SPHINX-II Speech Recognition System: An Overview

    Xuedong Huang;Fileno Alleva;Hsiao Hon;Mei Hwang

  • Large-vocabulary speaker-independent continuous speech recognition: the sphinx system

    Raj Reddy;Kai-Fu Lee

  • Context-independent phonetic hidden Markov models for speaker-independent continuous speech recognition

    K.-F. Lee

  • Readings in speech recognition

    Alex Waibel;Kai-Fu Lee

  • On large-vocabulary speaker-independent continuous speech recognition

    K. F. Lee

  • Language input architecture for converting one text form to another text form with tolerance to spelling, typographical, and conversion errors

    Kai-Fu Lee;Zheng Chen;Jian Han

  • Handwriting signal processing front-end for handwriting recognizers

    Kamil A. Grajski;Yen-Lu Chow;Kai-Fu Lee

  • Speaker adaptation through vector quantization

    K. Shikano;Kai-Fu Lee;R. Reddy

  • A rapid tree-based method for vector quantization

    Alejandro Acero;Kai-Fu Lee;Yen-Lu Chow

  • Toward a unified approach to statistical language modeling for Chinese

    Jianfeng Gao;Joshua Goodman;Mingjing Li;Kai-Fu Lee

  • On speaker-independent, speaker-dependent, and speaker-adaptive speech recognition

    X. Huang;K.F. Lee

  • Connectionist Viterbi training: a new hybrid method for continuous speech recognition

    M. Franzini;K.-F. Lee;A. Waibel

  • CMU robust vocabulary-independent speech recognition system

    H.-W. Hon;K.-F. Lee

  • The development of a world class Othello program

    Kai-Fu Lee;Sanjoy Mahajan

  • Large-vocabulary speaker-independent continuous speech recognition using HMM

    K.-F. Lee;H.-W. Hon

Frequent Co-Authors

Hsiao-Wuen Hon
Hsiao-Wuen Hon Microsoft Research Asia (China)
Mei-Yuh Hwang
Mei-Yuh Hwang Microsoft (United States)
Zheng Chen
Zheng Chen Microsoft Research Asia (China)
Xuedong Huang
Xuedong Huang Microsoft (United States)
Jianfeng Gao
Jianfeng Gao Microsoft (United States)
Haifeng Wang
Haifeng Wang Baidu (China)
Alex Waibel
Alex Waibel Carnegie Mellon University
Eric Chang
Eric Chang Microsoft (United States)
Qiang Yang
Qiang Yang Hong Kong University of Science and Technology

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