World's Best Scientists 2026 revealed!
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Computer Science
Canada
2025

D-Index & Metrics

Computer Science

D-Index
66
Citations
32280
World Ranking
2256
National Ranking
83

Research.com Recognitions

  • 2025 - Research.com Computer Science in Canada Leader Award
  • 2023 - Research.com Computer Science in Canada Leader Award
  • 2022 - Research.com Computer Science in Canada Leader Award

Overview

Raymond T. Ng is affiliated with the University of British Columbia in Canada. Their research primarily focuses on Medicine, with a substantial contribution of 365 publications in the field. Within this main area, their work extensively covers subfields including Pulmonary and Respiratory Medicine, Physiology, Economics and Econometrics, Epidemiology, and Statistics and Probability.

The scientist's research topics concentrate largely on respiratory health and related conditions. Notable topics include:

  • Asthma and respiratory diseases
  • Chronic Obstructive Pulmonary Disease (COPD) Research
  • Respiratory and Cough-Related Research
  • Health Systems, Economic Evaluations, Quality of Life
  • Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis
  • Inhalation and Respiratory Drug Delivery
  • Respiratory Support and Mechanisms

Raymond T. Ng has co-authored frequently with a number of researchers in the field. Among their frequent collaborators are:

  • Don D. Sin (40 joint publications)
  • Andrea S. Gershon (36 joint publications)
  • David Price (32 joint publications)
  • Wenjia Chen (29 joint publications)
  • Teresa To (28 joint publications)

The venues where their work has most often appeared include:

  • arXiv (Cornell University) with 15 publications
  • American Journal of Respiratory and Critical Care Medicine with 14 publications
  • CHEST Journal with 13 publications
  • The Journal of Allergy and Clinical Immunology In Practice with 13 publications
  • European Respiratory Journal with 12 publications

Among their recent papers are:

  • "Pharmacologic Management of Chronic Obstructive Pulmonary Disease. An Official American Thoracic Society Clinical Practice Guideline", 2020, American Journal of Respiratory and Critical Care Medicine
  • "Eosinophilic and Noneosinophilic Asthma", 2021, CHEST Journal
  • "Prevalence and characteristics of progressive fibrosing interstitial lung disease in a prospective registry", 2022, European Respiratory Journal
  • "Defining a Severe Asthma Super-Responder: Findings from a Delphi Process", 2021, The Journal of Allergy and Clinical Immunology In Practice
  • "The Acute COPD Exacerbation Prediction Tool (ACCEPT): a modelling study", 2020, The Lancet Respiratory Medicine

Best Publications

  • LOF: identifying density-based local outliers

    Markus M. Breunig;Hans-Peter Kriegel;Raymond T. Ng;Jörg Sander

  • Efficient and Effective Clustering Methods for Spatial Data Mining

    Raymond T. Ng;Jiawei Han

  • Algorithms for Mining Distance-Based Outliers in Large Datasets

    Edwin M. Knorr;Raymond T. Ng

  • Distance-based outliers: algorithms and applications

    Edwin M. Knorr;Raymond T. Ng;Vladimir Tucakov

  • CLARANS: a method for clustering objects for spatial data mining

    R.T. Ng;Jiawei Han

  • On the marriage of Lp-norms and edit distance

    Lei Chen;Raymond Ng

  • Exploratory mining and pruning optimizations of constrained associations rules

    Raymond T. Ng;Laks V. S. Lakshmanan;Jiawei Han;Alex Pang

  • Predicting source code changes by mining change history

    A.T.T. Ying;G.C. Murphy;R. Ng;M.C. Chu-Carroll

  • Finding Intensional Knowledge of Distance-Based Outliers

    Edwin M. Knorr;Raymond T. Ng

  • A unified notion of outliers: properties and computation

    Edwin M. Knorr;Raymond T. Ng

  • Indexing spatio-temporal trajectories with Chebyshev polynomials

    Yuhan Cai;Raymond Ng

  • Probabilistic logic programming

    Raymond Ng;V. S. Subrahmanian

  • The New Jersey Data Reduction Report.

    Daniel Barbará;William DuMouchel;Christos Faloutsos;Peter J. Haas

  • Fast computation of 2-dimensional depth contours

    Ted Johnson;Ivy Kwok;Raymond Ng

  • OPTICS-OF: Identifying Local Outliers

    Markus M. Breunig;Hans-Peter Kriegel;Raymond T. Ng;Jörg Sander

  • Extracting knowledge from evaluative text

    Giuseppe Carenini;Raymond T. Ng;Ed Zwart

  • Constraint-based, multidimensional data mining

    Jiawei Han;L.V.S. Lakshmanan;R.T. Ng

  • Parametric query optimization

    Yannis E. Ioannidis;Raymond T. Ng;Kyuseok Shim;Timos K. Sellis

  • Constraint-based clustering in large databases

    Anthony K. H. Tung;Raymond T. Ng;Laks V. S. Lakshmanan;Jiawei Han

  • Optimization of constrained frequent set queries with 2-variable constraints

    Laks V. S. Lakshmanan;Raymond Ng;Jiawei Han;Alex Pang

  • Proceedings of the 2008 ACM SIGMOD international conference on Management of data

    Laks V. S. Lakshmanan;Raymond T. Ng;Dennis Shasha

Frequent Co-Authors

Bruce M. McManus
Bruce M. McManus University of British Columbia
Giuseppe Carenini
Giuseppe Carenini University of British Columbia
Wan L. Lam
Wan L. Lam BC Cancer Research Centre
Laks V. S. Lakshmanan
Laks V. S. Lakshmanan University of British Columbia
V. S. Subrahmanian
V. S. Subrahmanian Dartmouth College
Jiawei Han
Jiawei Han University of Illinois at Urbana-Champaign
Shafiq Joty
Shafiq Joty Salesforce (United States)
Kyuseok Shim
Kyuseok Shim Seoul National University
Hosagrahar V. Jagadish
Hosagrahar V. Jagadish University of Michigan–Ann Arbor
Christoph H. Borchers
Christoph H. Borchers McGill University

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