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D-Index & Metrics

Computer Science

D-Index
37
Citations
17186
World Ranking
10438
National Ranking
4359

Overview

Dekang Lin is affiliated with Google in the United States and specializes in engineering, with a particular focus on electrical and electronic engineering. Their research spans multiple subfields, including experimental and cognitive psychology, media technology, biomedical engineering, and cognitive neuroscience.

The scientist's work covers a range of topics, prominently featuring sleep and related disorders, advanced wireless communication techniques, and advanced measurement and detection methods. Additional topics include embedded systems and FPGA applications, image processing techniques and applications, sleep and wakefulness research, and paranormal experiences and beliefs.

Frequent coauthors of Dekang Lin include You-Zong Yu, Tzu-Hsien Sang, Weijie Lin, and Gregory T. Warner. Collaborative efforts with these researchers contribute to advancements in their shared fields of study.

Publications authored or coauthored by Dekang Lin cover diverse areas in engineering and technology. Notable recent papers include:

  • Application of Mathematical Modeling Based on MATLAB in Experimental Data Analysis, 2024, Procedia Computer Science
  • Fast Simulation of Coded QAM Transmission in White Gaussian Noise at Low Packet Error Rates, 2022, IEEE Open Journal of the Communications Society
  • Associations between Body Mass Index, Sleep Duration, and Reported Snoring and Sleepiness Symptoms, By Age Stratification, 2020, European Journal of Engineering and Technology Research
  • Fast Simulation of Channel-Coded MIMO-OFDM Transmission in Multipath Fading at Low Error Rates, 2024, IEEE Transactions on Communications

The European Journal of Engineering and Technology Research is a frequent venue for their publications, as well as Procedia Computer Science, IEEE Open Journal of the Communications Society, IEEE Transactions on Communications, and Radioprotection.

Best Publications

  • An Information-Theoretic Definition of Similarity

    Dekang Lin

  • Automatic Retrieval and Clustering of Similar Words

    Dekang Lin

  • Discovering word senses from text

    Patrick Pantel;Dekang Lin

  • Dependency-Based Evaluation of Minipar

    Dekang Lin

  • DIRT @SBT@discovery of inference rules from text

    Dekang Lin;Patrick Pantel

  • Discovery of inference rules for question-answering

    Dekang Lin;Patrick Pantel

  • Knowledge base completion via search-based question answering

    Robert West;Evgeniy Gabrilovich;Kevin Murphy;Shaohua Sun

  • Automatic Identification of Non-compositional Phrases

    Dekang Lin

  • Concept discovery from text

    Dekang Lin;Patrick Pantel

  • Document clustering with committees

    Patrick Pantel;Dekang Lin

  • PRINCIPLE-BASED PARSING WITHOUT OVERGENERATION

    Dekang Lin

  • A Statistical Corpus-Based Term Extractor

    Patrick Pantel;Dekang Lin

  • Bootstrapping Path-Based Pronoun Resolution

    Shane Bergsma;Dekang Lin

  • Induction of semantic classes from natural language text

    Dekang Lin;Patrick Pantel

  • SpamCop: A Spam Classification & Organisation Program

    Patrick Pantel;Dekang Lin

  • PRINCIPAR: an efficient, broad-coverage, principle-based parser

    Dekang Lin

  • Clustering by committee

    Dekang Lin;Patrick Andre Pantel

  • Names and Similarities on the Web: Fact Extraction in the Fast Lane

    Marius Paşca;Dekang Lin;Jeffrey Bigham;Andrei Lifchits

  • A Probability Model to Improve Word Alignment

    Colin Cherry;Dekang Lin

  • Web-scale N-gram models for lexical disambiguation

    Shane Bergsma;Dekang Lin;Randy Goebel

  • WordNet: An Electronic Lexical Database

    Dekang Lin

Frequent Co-Authors

Patrick Pantel
Patrick Pantel Facebook (United States)
Colin Cherry
Colin Cherry Google (Canada)
Jeffrey P. Bigham
Jeffrey P. Bigham Carnegie Mellon University
Evgeniy Gabrilovich
Evgeniy Gabrilovich Google (United States)
Benjamin Van Durme
Benjamin Van Durme Johns Hopkins University
Ming Zhou
Ming Zhou Langboat Technology

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