World's Best Scientists 2026 revealed!

D-Index & Metrics

Mathematics

D-Index
37
Citations
7754
World Ranking
2450
National Ranking
124

Computer Science

D-Index
37
Citations
8059
World Ranking
10547
National Ranking
1298

Lusheng Wang publication distribution in Mathematics in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Mathematics in 2026. The highlighted bar marks where Lusheng Wang sits on this spectrum.

42–46 publications: 3 scientists 47–51 publications: 5 scientists 52–56 publications: 7 scientists 57–61 publications: 20 scientists 62–66 publications: 14 scientists 67–71 publications: 25 scientists 72–76 publications: 19 scientists 77–81 publications: 35 scientists 82–86 publications: 50 scientists 87–91 publications: 60 scientists 92–96 publications: 86 scientists 97–101 publications: 84 scientists 102–106 publications: 83 scientists 107–111 publications: 90 scientists 112–116 publications: 99 scientists 117–121 publications: 90 scientists 122–126 publications: 91 scientists 127–131 publications: 109 scientists 132–136 publications: 110 scientists 137–141 publications: 98 scientists 142–146 publications: 112 scientists 147–151 publications: 102 scientists 152–156 publications: 88 scientists 157–161 publications: 106 scientists 162–166 publications: 83 scientists 167–171 publications: 102 scientists 172–176 publications: 77 scientists 177–181 publications: 81 scientists 182–186 publications: 78 scientists 187–191 publications: 71 scientists 192–196 publications: 92 scientists 197–201 publications: 64 scientists 202–206 publications: 69 scientists 207–211 publications: 64 scientists 212–216 publications: 62 scientists 217–221 publications: 58 scientists 222–226 publications: 53 scientists 227–231 publications: 50 scientists 232–236 publications: 46 scientists 237–241 publications: 46 scientists 242–246 publications: 46 scientists 247–251 publications: 43 scientists 252–256 publications: 29 scientists 257–261 publications: 45 scientists 262–266 publications: 30 scientists 267–271 publications: 33 scientists 272–276 publications: 34 scientists 277–281 publications: 30 scientists 282–286 publications: 31 scientists 287–291 publications: 21 scientists 292–296 publications: 34 scientists 297–301 publications: 26 scientists 302–306 publications: 10 scientists 307–311 publications: 17 scientists 312–316 publications: 23 scientists 317–321 publications: 13 scientists 322–326 publications: 16 scientists 327–331 publications: 26 scientists 332–336 publications: 13 scientists 337–341 publications: 13 scientists 342–346 publications: 16 scientists 347–351 publications: 17 scientists 352–356 publications: 12 scientists 357–361 publications: 18 scientists 362–366 publications: 18 scientists 367–371 publications: 9 scientists 372–376 publications: 11 scientists 377–381 publications: 8 scientists 382–386 publications: 8 scientists 387–391 publications: 9 scientists 392–396 publications: 9 scientists 397–401 publications: 8 scientists 402–406 publications: 11 scientists 407–411 publications: 6 scientists 412–416 publications: 6 scientists 417–421 publications: 9 scientists 422–426 publications: 8 scientists 427–431 publications: 5 scientists 432–436 publications: 8 scientists 437–441 publications: 8 scientists 442–446 publications: 4 scientists 447–451 publications: 4 scientists 452–456 publications: 4 scientists 457–461 publications: 2 scientists 462–466 publications: 2 scientists 467–471 publications: 4 scientists 472–476 publications: 3 scientists 477–481 publications: 3 scientists 482–486 publications: 6 scientists 487–491 publications: 3 scientists 492–496 publications: 5 scientists 497–501 publications: 5 scientists 502–506 publications: 1 scientists 507–511 publications: 6 scientists 512–516 publications: 4 scientists 517–521 publications: 1 scientists 522–526 publications: 3 scientists 527–531 publications: 1 scientists 532–536 publications: 4 scientists 537+ publications: 100 scientists
42 publications 537+

This scientist: 185 publications — 56th percentile

56% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 537 publications or more.

Lusheng Wang D-index placement in Mathematics in 2026

The chart shows the D-index (discipline H-index) distribution of Mathematics scientists ranked by Research.com in 2026. The highlighted bar marks where Lusheng Wang sits on this spectrum.

30 D-Index: 174 scientists 31 D-Index: 151 scientists 32 D-Index: 174 scientists 33 D-Index: 117 scientists 34 D-Index: 136 scientists 35 D-Index: 127 scientists 36 D-Index: 145 scientists 37 D-Index: 153 scientists 38 D-Index: 150 scientists 39 D-Index: 150 scientists 40 D-Index: 138 scientists 41 D-Index: 136 scientists 42 D-Index: 93 scientists 43 D-Index: 108 scientists 44 D-Index: 115 scientists 45 D-Index: 112 scientists 46 D-Index: 103 scientists 47 D-Index: 75 scientists 48 D-Index: 59 scientists 49 D-Index: 67 scientists 50 D-Index: 60 scientists 51 D-Index: 57 scientists 52 D-Index: 59 scientists 53 D-Index: 62 scientists 54 D-Index: 60 scientists 55 D-Index: 50 scientists 56 D-Index: 42 scientists 57 D-Index: 54 scientists 58 D-Index: 50 scientists 59 D-Index: 42 scientists 60 D-Index: 41 scientists 61 D-Index: 35 scientists 62 D-Index: 40 scientists 63 D-Index: 21 scientists 64 D-Index: 31 scientists 65 D-Index: 27 scientists 66 D-Index: 29 scientists 67 D-Index: 19 scientists 68 D-Index: 25 scientists 69 D-Index: 17 scientists 70 D-Index: 18 scientists 71 D-Index: 12 scientists 72 D-Index: 14 scientists 73 D-Index: 13 scientists 74 D-Index: 18 scientists 75 D-Index: 9 scientists 76 D-Index: 11 scientists 77 D-Index: 10 scientists 78 D-Index: 9 scientists 79 D-Index: 16 scientists 80 D-Index: 12 scientists 81 D-Index: 10 scientists 82 D-Index: 5 scientists 83 D-Index: 5 scientists 84 D-Index: 13 scientists 85 D-Index: 6 scientists 86+ D-Index: 99 scientists
30 D-Index 86+

This scientist: 37 D-Index — 33rd percentile

33% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 86 D-Index or more.

Overview

Lusheng Wang is affiliated with the City University of Hong Kong in China, contributing to fields connecting biochemistry, genetics, molecular biology, and computer science. Their research portfolio spans several interdisciplinary domains, prominently molecular biology and computational theory, with a focus on genetics and artificial intelligence. Civil and structural engineering is also reflected as part of their subfield expertise.

Their scholarly output includes notable papers such as "Research progress on recycled clay brick waste as an alternative to cement for sustainable construction materials" (2021, Construction and Building Materials), "PPISB: A Novel Network-Based Algorithm of Predicting Protein-Protein Interactions With Mixed Membership Stochastic Blockmodel" (2022, IEEE/ACM Transactions on Computational Biology and Bioinformatics), "Cryptotanshinone protects skin cells from ultraviolet radiation-induced photoaging via its antioxidant effect and by reducing mitochondrial dysfunction and inhibiting apoptosis" (2022, Frontiers in Pharmacology), "Keratinocyte Growth Factor 2 Ameliorates UVB-Induced Skin Damage via Activating the AhR/Nrf2 Signaling Pathway" (2021, Frontiers in Pharmacology), and "Suppression of FGF5 and FGF18 Expression by Cholesterol-Modified siRNAs Promotes Hair Growth in Mice" (2021, Frontiers in Pharmacology).

Their work touches on multiple main topics that reflect both biological and computational complexities including:

  • Algorithms and Data Compression
  • Genomics and Phylogenetic Studies
  • Advanced Graph Theory Research
  • Chromosomal and Genetic Variations
  • Genome Rearrangement Algorithms
  • Complexity and Algorithms in Graphs
  • BRCA gene mutations in cancer

Frequent publication venues where Lusheng Wang's research appears include:

  • Frontiers in Pharmacology
  • Annals of Translational Medicine
  • Journal of Combinatorial Optimization
  • Journal of Computational Biology
  • arXiv (Cornell University)

Collaborations form an important part of the scientist's work, with frequent co-authors including Daming Zhu, Rongrong Jing, Keke Guo, Guohui Lin, and Mingyang Gong. These partnerships span across multiple projects and publications, contributing to a broad research network.

The research activity reflects a blend of experimental and computational methods, integrating molecular biology techniques with algorithmic and graph theory approaches, generating insights particularly relevant to genetics and biochemistry while also touching upon engineering applications.

Best Publications

  • On the Complexity of Multiple Sequence Alignment

    Lusheng Wang;Tao Jiang

  • Alignment of trees: an alternative to tree edit

    Tao Jiang;Lusheng Wang;Kaizhong Zhang

  • Relay sensor placement in wireless sensor networks

    Xiuzhen Cheng;Ding-Zhu Du;Lusheng Wang;Baogang Xu

  • Approximations for Steiner trees with minimum number of Steiner points

    Donghui Chen;Ding-Zhu Du;Ding-Zhu Du;Ding-Zhu Du;Xiao-Dong Hu;Xiao-Dong Hu;Guo-Hui Lin

  • On the complexity of comparing evolutionary trees

    Jotun Hein;Tao Jiang;Lusheng Wang;Kaizhong Zhang

  • Perfect phylogenetic networks with recombination

    Lusheng Wang;Kaizhong Zhang;Louxin Zhang

  • On the closest string and substring problems

    Ming Li;Bin Ma;Lusheng Wang

  • Computing the maximum similarity bi-clusters of gene expression data

    Xiaowen Liu;Lusheng Wang

  • Haplotype inference by maximum parsimony.

    Lusheng Wang;Ying Xu

  • Finding similar regions in many strings

    Ming Li;Bin Ma;Lusheng Wang

  • Finding similar regions in many sequences

    Ming Li;Bin Ma;Lusheng Wang

  • Approximation Algorithms for Tree Alignment with a Given Phylogeny

    Lusheng Wang;Tao Jiang;Eugene L. Lawler

  • Interval structure: a framework for representing uncertain information

    S. K. M. Wong;L. S. Wang;Y. Y. Yao

  • A NON-NUMERIC APPROACH TO UNCERTAIN REASONING

    Y.Y. Yao;S.K.M. Wong;L.S. Wang

  • Aligning sequences via an evolutionary tree: complexity and approximation

    Tao Jiang;Eugene L. Lawler;Lusheng Wang

  • Improved Approximation Algorithms for Tree Alignment

    Lusheng Wang;Dan Gusfield

  • The inverse problems for some topological indices in combinatorial chemistry.

    Xueliang Li;Zimao Li;Lusheng Wang

  • A More Efficient Approximation Scheme for Tree Alignment

    Lusheng Wang;Tao Jiang;Dan Gusfield

  • On the complexity of finding emerging patterns

    Lusheng Wang;Hao Zhao;Guozhu Dong;Jianping Li

  • Computing similarity between RNA structures

    Bin Ma;Lusheng Wang;Kaizhong Zhang

  • Exact algorithms for haplotype assembly from whole-genome sequence data.

    Zhi-Zhong Chen;Fei Deng;Lusheng Wang

Frequent Co-Authors

Bin Ma
Bin Ma University of Waterloo
Guohui Lin
Guohui Lin University of Alberta
Tao Jiang
Tao Jiang University of California, Riverside
Kaizhong Zhang
Kaizhong Zhang University of Western Ontario
Dan Gusfield
Dan Gusfield University of California, Davis
Ding-Zhu Du
Ding-Zhu Du The University of Texas at Dallas
Xiaotie Deng
Xiaotie Deng Peking University
Yiyu Yao
Yiyu Yao University of Regina
Jinyan Li
Jinyan Li University of Technology Sydney
Randy Goebel
Randy Goebel University of Alberta

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

Studying Mathematics in the USA opens doors to various online degrees that complement and expand your skillset. Many students explore an online MBA transfer credits option to combine analytical skills with business acumen. This blend is highly valued in the job market, particularly in leadership roles.

Another popular pathway is pursuing a master’s degree in data-focused fields. Programs like data analytics masters programs leverage strong mathematical foundations to prepare graduates for careers in data science, analytics, and decision-making roles.

For those seeking flexibility and accessibility, it’s worth researching the easiest MBA program options. These programs can provide a manageable path to certification for working professionals or those new to business studies.

Similarly, the easiest online MBA program choices offer convenience and affordability without sacrificing educational value, making them ideal for math graduates looking to upskill quickly while balancing other commitments.

Best Scientists Citing Lusheng Wang

Trending Scientists

Recently Published Articles