World's Best Scientists 2026 revealed!

Overview

Wai-Ki Ching is affiliated with the University of Hong Kong in China and has a research focus within Biochemistry, Genetics, and Molecular Biology. Their scholarly work spans several subfields, including Molecular Biology, Computational Theory and Mathematics, Management Science and Operations Research, Cancer Research, and Artificial Intelligence.

Their research contributions address a range of topics related to gene regulatory network analysis, gene expression and cancer classification, single-cell and spatial transcriptomics, bioinformatics and genomic networks, cancer-related molecular mechanisms research, receptor mechanisms and signaling, as well as RNA research and splicing.

Wai-Ki Ching's frequent publication venues include:

  • Briefings in Bioinformatics
  • SSRN Electronic Journal
  • arXiv (Cornell University)
  • PLoS Computational Biology
  • European Journal of Operational Research

Coauthor collaborations have been notably frequent with Yushan Qiu, Jia-Wen Gu, Tatsuya Akutsu, Sini Guo, and Quan Zou, reflecting active engagement in multidisciplinary teams.

Several recent papers authored or co-authored by Wai-Ki Ching illustrate their areas of investigation. These include:

  • Robust biomarker screening from gene expression data by stable machine learning-recursive feature elimination methods, 2022, Computational Biology and Chemistry
  • Adaptive online portfolio selection with transaction costs, 2021, European Journal of Operational Research
  • LogBTF: gene regulatory network inference using Boolean threshold network model from single-cell gene expression data, 2023, Bioinformatics
  • Stabilization of Aperiodic Sampled-Data Boolean Control Networks: A Delay Approach, 2021, IEEE Transactions on Automatic Control
  • Stabilization and Reconstruction of Sampled-Data Boolean Control Networks Under Noisy Sampling Interval, 2022, IEEE Transactions on Automatic Control

Best Publications

  • Control of Boolean networks: hardness results and algorithms for tree structured networks.

    Tatsuya Akutsu;Morihiro Hayashida;Wai-Ki Ching;Michael K. Ng

  • Analysis for strategy of closed-loop supply chain with dual recycling channel

    Min Huang;Min Song;Loo Hay Lee;Loo Hay Lee;Wai Ki Ching

  • Markov Chains: Models, Algorithms and Applications

    Wai-Ki Ching;Ximin Huang;Michael K. Ng;Tak Kuen Siu

  • An optimization algorithm for clustering using weighted dissimilarity measures

    Elaine Y. Chan;Wai-Ki Ching;Michael K. Ng;Joshua Zhexue Huang

  • Efficient Reconstruction of Piecewise Constant Images Using Nonsmooth Nonconvex Minimization

    Mila Nikolova;Michael K. Ng;Shuqin Zhang;Wai-Ki Ching

  • Markov Chains: Models, Algorithms and Applications (International Series in Operations Research & Management Science)

    Wai-KI Ching;Michael K. Ng;W. Ching

  • Higher-order multivariate Markov chains and their applications

    Wai-Ki Ching;Michael K. Ng;Eric S. Fung

  • On supply chain coordination for false failure returns: A quantity discount contract approach

    Ximin Huang;Sin Man Choi;Wai Ki Ching;Tak Kuen Siu

  • Impact of secondary market on consumer return policies and supply chain coordination

    Ximin Huang;Jia Wen Gu;Wai Ki Ching;Tak Kuen Siu

  • Algorithms for finding small attractors in boolean networks

    Shu-Qin Zhang;Morihiro Hayashida;Tatsuya Akutsu;Wai-Ki Ching

  • Iterative Algorithms Based on Decoupling of Deblurring and Denoising for Image Restoration

    You-Wei Wen;Michael K. Ng;Wai-Ki Ching

  • An approximation method for solving the steady-state probability distribution of probabilistic Boolean networks

    Wai-Ki Ching;Shuqin Zhang;Michael K. Ng;Tatsuya Akutsu

  • Optimal control policy for probabilistic Boolean networks with hard constraints

    W.-K. Ching;S.-Q. Zhang;Y. Jiao;T. Akutsu

  • Customer lifetime value: Stochastic optimization approach

    Wai-Ki Ching;Michael K. Ng;Ka-Kuen Wong;Eitan Altman

  • Iterative Methods for Queuing and Manufacturing Systems

    Wai Ki Ching

  • On construction of stochastic genetic networks based on gene expression sequences.

    Wai-Ki Ching;Michael M. Ng;Eric S. Fung;Tatsuya Akutsu

  • Predicting enzyme targets for cancer drugs by profiling human Metabolic reactions in NCI-60 cell lines

    Limin Li;Xiaobo Zhou;Wai Ki Ching;Ping Wang

  • Optimal portfolios with regime switching and value-at-risk constraint

    Ka-Fai Cedric Yiu;Jingzhen Liu;Tak Kuen Siu;Wai-Ki Ching

  • Detection of machine failure: Hidden Markov Model approach

    Allen H. Tai;Wai-Ki Ching;L. Y. Chan

  • Simulation study in Probabilistic Boolean Network models for genetic regulatory networks

    Shu-Qin Zhang;Wai-Ki Ching;Michael K. Ng;Tatsuya Akutsu

Frequent Co-Authors

Raymond H. Chan
Raymond H. Chan Lingnan University
W. H. Ip
W. H. Ip Hong Kong Polytechnic University
Xiaobo Zhou
Xiaobo Zhou The University of Texas Health Science Center at Houston
Loo Hay Lee
Loo Hay Lee National University of Singapore
Jianquan Lu
Jianquan Lu Southeast University
Xun Yu Zhou
Xun Yu Zhou Columbia University
Antoine Danchin
Antoine Danchin Institut Cochin

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