World's Best Scientists 2026 revealed!
David W. Cheung

David W. Cheung

D-Index & Metrics

Computer Science

D-Index
56
Citations
19875
World Ranking
3966
National Ranking
528

Overview

David W. Cheung is affiliated with the University of Hong Kong in China and specializes in the field of Medicine. Their research concentrates particularly on Hepatology, with additional focus on subfields such as Epidemiology, Computer Vision and Pattern Recognition, Molecular Biology, and Oncology.

The primary topics addressed in David W. Cheung's work include:

  • Liver Disease Diagnosis and Treatment
  • Hepatocellular Carcinoma Treatment and Prognosis
  • Pancreatic and Hepatic Oncology Research
  • Heat shock proteins research
  • Ion channel regulation and function
  • Cardiac electrophysiology and arrhythmias
  • Neonatal Health and Biochemistry

The scientist has published research papers in several venues. The frequent publication venues include:

  • arXiv (Cornell University)
  • Gastrointestinal Endoscopy
  • Cells
  • Clinical Pharmacology & Therapeutics
  • VideoGIE

Among the notable recent papers associated with David W. Cheung are:

  • "Dynamic suction: a novel technique to optimize EUS-guided liver biopsy" (2024, VideoGIE)
  • "DYNAMIC SUCTION: A NOVEL TECHNIQUE TO OPTIMIZE ENDOSCOPIC ULTRASOUND-GUIDED LIVER BIOPSY" (2023, Gastrointestinal Endoscopy)
  • "Inhibition of OATP1B1/3 Rather Than UGT1A1 May Be the Major Cause of the Bilirubin Elevation After Atazanavir Administration" (2024, Clinical Pharmacology & Therapeutics)
  • "BAG3: Nature's Quintessential Multi-Functional Protein Functions as a Ubiquitous Intra-Cellular Glue" (2023, Cells)
  • "Line Segment Detection Using Transformers without Edges" (2021, arXiv (Cornell University))

Collaboration is a significant aspect of their research activity. Frequent co-authors include:

  • Amirali Tavangar
  • Jason Samarasena
  • Andy Lin
  • Khaldoon Khirfan
  • Usman Rahim

Best Publications

  • SOAPdenovo2: an empirically improved memory-efficient short-read de novo assembler

    Ruibang Luo;Binghang Liu;Yinlong Xie;Yinlong Xie;Zhenyu Li

  • Maintenance of discovered association rules in large databases: an incremental updating technique

    D.W. Cheung;Jiawei Han;V.T. Ng;C.Y. Wong

  • Secure kNN computation on encrypted databases

    Wai Kit Wong;David Wai-lok Cheung;Ben Kao;Nikos Mamoulis

  • A fast distributed algorithm for mining association rules

    D.W. Cheung;Jiawei Han;V.T. Ng;A.W. Fu

  • Enhancing Effectiveness of Outlier Detections for Low Density Patterns

    Jian Tang;Zhixiang Chen;Ada Wai-Chee Fu;David Wai-Lok Cheung

  • A General Incremental Technique for Maintaining Discovered Association Rules

    David Wai-Lok Cheung;Sau Dan Lee;Ben Kao

  • Efficient mining of association rules in distributed databases

    D.W. Cheung;V.T. Ng;A.W. Fu;Yongjian Fu

  • Uncertainty reasoning based on cloud models in controllers

    D. Li;D. Cheung;Xuemei Shi;Vincent To Yee Ng

  • Mining, indexing, and querying historical spatiotemporal data

    Nikos Mamoulis;Huiping Cao;George Kollios;Marios Hadjieleftheriou

  • Mining frequent spatio-temporal sequential patterns

    Huiping Cao;N. Mamoulis;D.W. Cheung

  • SOAP3-dp: Fast, Accurate and Sensitive GPU-based Short Read Aligner

    Ruibang Luo;Thomas Kf Wong;Jianqiao Zhu;Jianqiao Zhu;Chi-Man Liu

  • Erratum to "SOAPdenovo2: An empirically improved memory-efficient short-read de novo assembler" [GigaScience, (2012), 1, 18]

    Ruibang Luo;Binghang Liu;Yinlong Xie;Zhenyu Li

  • An efficient and scalable algorithm for clustering XML documents by structure

    Wang Lian;D.W.-l. Cheung;N. Mamoulis;Siu-Ming Yiu

  • Naive Bayes Classification of Uncertain Data

    Jiangtao Ren;Sau Dan Lee;Xianlu Chen;Ben Kao

  • HARP: a practical projected clustering algorithm

    K.Y. Yip;D.W. Cheung;M.K. Ng

  • Discovery of Periodic Patterns in Spatiotemporal Sequences

    Huiping Cao;Nikos Mamoulis;D.W. Cheung

  • Mining periodic patterns with gap requirement from sequences

    Minghua Zhang;Ben Kao;David W. Cheung;Kevin Y. Yip

  • Mining uncertain data with probabilistic guarantees

    Liwen Sun;Reynold Cheng;David W. Cheung;Jiefeng Cheng

  • Fast mining of spatial collocations

    Xin Zhang;Nikos Mamoulis;David W. Cheung;Yutao Shou

  • Scalable skyline computation using object-based space partitioning

    Shiming Zhang;Nikos Mamoulis;David W. Cheung

  • Fast distributed algorithm for mining association rules

    David W Cheung;Jiawei Han;Vincent T Ng;Ada W Fu

Frequent Co-Authors

Ben Kao
Ben Kao University of Hong Kong
Nikos Mamoulis
Nikos Mamoulis University of Ioannina
Siu-Ming Yiu
Siu-Ming Yiu University of Hong Kong
Kevin Y. Yip
Kevin Y. Yip Chinese University of Hong Kong
Michael K. Ng
Michael K. Ng Hong Kong Baptist University
Reynold Cheng
Reynold Cheng University of Hong Kong
Tak-Wah Lam
Tak-Wah Lam University of Hong Kong
Ada Wai-Chee Fu
Ada Wai-Chee Fu Chinese University of Hong Kong
Jiawei Han
Jiawei Han University of Illinois at Urbana-Champaign

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring online degrees is a flexible, affordable way to start or advance your tech career while studying Computer Science in the USA. Many online schools now offer fully accredited programs, helping students from around the world access top-tier education from home.

Looking to specialize? If you’re passionate about interactive entertainment, game design schools online provide cost-effective courses focused on modern gaming, animation, and software development.

Security is more vital than ever in today’s digital world. Earning a cybersecurity masters online can lead to roles in network security, ethical hacking, or digital forensics—all in high demand.

Interested in the intersection of tech and construction? A cheap online construction management degree creates opportunities in engineering, project management, and digital construction technologies.

With online learning, charting your unique path in technology, gaming, security, or construction management is more accessible than ever.

Best Scientists Citing David W. Cheung

Trending Scientists

Recently Published Articles