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Wai-Ki Ching publication distribution in Engineering and Technology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Engineering and Technology in 2026. The highlighted bar marks where Wai-Ki Ching sits on this spectrum.

38–47 publications: 20 scientists 48–57 publications: 35 scientists 58–67 publications: 96 scientists 68–77 publications: 135 scientists 78–87 publications: 190 scientists 88–97 publications: 259 scientists 98–107 publications: 283 scientists 108–117 publications: 369 scientists 118–127 publications: 341 scientists 128–137 publications: 386 scientists 138–147 publications: 372 scientists 148–157 publications: 457 scientists 158–167 publications: 415 scientists 168–177 publications: 407 scientists 178–187 publications: 421 scientists 188–197 publications: 378 scientists 198–207 publications: 403 scientists 208–217 publications: 317 scientists 218–227 publications: 346 scientists 228–237 publications: 321 scientists 238–247 publications: 260 scientists 248–257 publications: 280 scientists 258–267 publications: 240 scientists 268–277 publications: 214 scientists 278–287 publications: 242 scientists 288–297 publications: 203 scientists 298–307 publications: 166 scientists 308–317 publications: 154 scientists 318–327 publications: 175 scientists 328–337 publications: 159 scientists 338–347 publications: 99 scientists 348–357 publications: 131 scientists 358–367 publications: 106 scientists 368–377 publications: 118 scientists 378–387 publications: 97 scientists 388–397 publications: 108 scientists 398–407 publications: 82 scientists 408–417 publications: 71 scientists 418–427 publications: 64 scientists 428–437 publications: 55 scientists 438–447 publications: 54 scientists 448–457 publications: 60 scientists 458–467 publications: 47 scientists 468–477 publications: 40 scientists 478–487 publications: 30 scientists 488–497 publications: 29 scientists 498–507 publications: 38 scientists 508–517 publications: 40 scientists 518–527 publications: 32 scientists 528–537 publications: 23 scientists 538–547 publications: 28 scientists 548–557 publications: 23 scientists 558–567 publications: 19 scientists 568–577 publications: 16 scientists 578–587 publications: 17 scientists 588–597 publications: 18 scientists 598–607 publications: 22 scientists 608–617 publications: 15 scientists 618–627 publications: 9 scientists 628–637 publications: 11 scientists 638–647 publications: 21 scientists 648–657 publications: 12 scientists 658–667 publications: 9 scientists 668–677 publications: 11 scientists 678–687 publications: 9 scientists 688–697 publications: 6 scientists 698–707 publications: 14 scientists 708–717 publications: 7 scientists 718–727 publications: 8 scientists 728–737 publications: 10 scientists 738–747 publications: 9 scientists 748–757 publications: 5 scientists 758–767 publications: 5 scientists 768–777 publications: 11 scientists 778–787 publications: 7 scientists 788–797 publications: 2 scientists 798–803 publications: 4 scientists 804+ publications: 100 scientists
38 publications 804+

The last bar groups every scientist with 804 publications or more.

Wai-Ki Ching D-index placement in Engineering and Technology in 2026

The chart shows the D-index (discipline H-index) distribution of Engineering and Technology scientists ranked by Research.com in 2026. The highlighted bar marks where Wai-Ki Ching sits on this spectrum.

30 D-Index: 59 scientists 31 D-Index: 114 scientists 32 D-Index: 129 scientists 33 D-Index: 189 scientists 34 D-Index: 200 scientists 35 D-Index: 262 scientists 36 D-Index: 311 scientists 37 D-Index: 312 scientists 38 D-Index: 350 scientists 39 D-Index: 385 scientists 40 D-Index: 348 scientists 41 D-Index: 362 scientists 42 D-Index: 426 scientists 43 D-Index: 380 scientists 44 D-Index: 310 scientists 45 D-Index: 341 scientists 46 D-Index: 301 scientists 47 D-Index: 306 scientists 48 D-Index: 271 scientists 49 D-Index: 246 scientists 50 D-Index: 210 scientists 51 D-Index: 253 scientists 52 D-Index: 213 scientists 53 D-Index: 221 scientists 54 D-Index: 195 scientists 55 D-Index: 186 scientists 56 D-Index: 170 scientists 57 D-Index: 167 scientists 58 D-Index: 166 scientists 59 D-Index: 144 scientists 60 D-Index: 152 scientists 61 D-Index: 141 scientists 62 D-Index: 138 scientists 63 D-Index: 131 scientists 64 D-Index: 118 scientists 65 D-Index: 114 scientists 66 D-Index: 119 scientists 67 D-Index: 95 scientists 68 D-Index: 87 scientists 69 D-Index: 77 scientists 70 D-Index: 89 scientists 71 D-Index: 69 scientists 72 D-Index: 54 scientists 73 D-Index: 46 scientists 74 D-Index: 55 scientists 75 D-Index: 54 scientists 76 D-Index: 49 scientists 77 D-Index: 53 scientists 78 D-Index: 46 scientists 79 D-Index: 28 scientists 80 D-Index: 39 scientists 81 D-Index: 36 scientists 82 D-Index: 24 scientists 83 D-Index: 26 scientists 84 D-Index: 36 scientists 85 D-Index: 18 scientists 86 D-Index: 25 scientists 87 D-Index: 19 scientists 88 D-Index: 26 scientists 89 D-Index: 27 scientists 90 D-Index: 23 scientists 91 D-Index: 15 scientists 92 D-Index: 12 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 13 scientists 97 D-Index: 13 scientists 98 D-Index: 9 scientists 99 D-Index: 7 scientists 100 D-Index: 7 scientists 101 D-Index: 8 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 9 scientists 105 D-Index: 6 scientists 106 D-Index: 9 scientists 107+ D-Index: 99 scientists
30 D-Index 107+

The last bar groups every scientist with 107 D-Index or more.

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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