World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
77
Citations
25344
World Ranking
1261
National Ranking
170

Jianxin Wang publication distribution in Computer Science in 2026

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

32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 249 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 559 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32 publications 991+

This scientist: 856 publications — 99th percentile

99% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Jianxin Wang D-index placement in Computer Science in 2026

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

30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30 D-Index 131+

This scientist: 77 D-Index — 91st percentile

91% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Overview

Jianxin Wang is affiliated with Central South University in China. Their research encompasses a broad range of topics within computer science and biochemistry, genetics, and molecular biology.

The main fields of study covered in their work include:

  • Computer Science
  • Biochemistry, Genetics and Molecular Biology

The scientist also works extensively in several subfields:

  • Molecular Biology
  • Computer Networks and Communications
  • Artificial Intelligence
  • Computational Theory and Mathematics
  • Electrical and Electronic Engineering

The topics addressed in their research span across various areas:

  • Computational Drug Discovery Methods
  • Bioinformatics and Genomic Networks
  • Machine Learning in Bioinformatics
  • Genomics and Phylogenetic Studies
  • Cancer-related molecular mechanisms research
  • Software-Defined Networks and 5G
  • Cloud Computing and Resource Management

Jianxin Wang has contributed to a number of scientific journals and conference proceedings. Their frequent publication venues include:

  • Bioinformatics
  • IEEE/ACM Transactions on Computational Biology and Bioinformatics
  • arXiv (Cornell University)
  • Briefings in Bioinformatics
  • bioRxiv (Cold Spring Harbor Laboratory)

Among the recent papers associated with or related to their field of work are:

  • Supramolecular materials based on AIE luminogens (AIEgens): construction and applications, 2020, Chemical Society Reviews
  • Efficient assembly of nanopore reads via highly accurate and intact error correction, 2021, Nature Communications
  • A survey on U-shaped networks in medical image segmentations, 2020, Neurocomputing
  • The evolution of the Internet of Things (IoT) over the past 20 years, 2021, Computers & Industrial Engineering
  • Semi-automated assembly of high-quality diploid human reference genomes, 2022, Nature

The scientist frequently collaborates with the following coauthors:

  • Jiawei Huang
  • Fang-Xiang Wu
  • Yaohang Li
  • Qichang Zhao
  • Hulin Kuang

Best Publications

  • CytoNCA: a cytoscape plugin for centrality analysis and evaluation of protein interaction networks.

    Yu Tang;Min Li;Jianxin Wang;Yi Pan

  • Automatic Image-Based Plant Disease Severity Estimation Using Deep Learning.

    Guan Wang;Yu Sun;Jianxin Wang

  • A survey of MRI-based brain tumor segmentation methods

    Jin Liu;Min Li;Jianxin Wang;Fangxiang Wu

  • Drug repositioning based on comprehensive similarity measures and Bi-Random walk algorithm

    Huimin Luo;Jianxin Wang;Min Li;Junwei Luo

  • Efficient assembly of nanopore reads via highly accurate and intact error correction.

    Ying Chen;Fan Nie;Shang-Qian Xie;Ying-Feng Zheng

  • Identification of Essential Proteins Based on Edge Clustering Coefficient

    Jianxin Wang;Min Li;Huan Wang;Yi Pan

  • Applications of Deep Learning to MRI Images: A Survey

    Jin Liu;Yi Pan;Min Li;Ziyue Chen

  • A survey on U-shaped networks in medical image segmentations

    Liangliang Liu;Liangliang Liu;Jianhong Cheng;Quan Quan;Fang-Xiang Wu

  • Modifying the DPClus algorithm for identifying protein complexes based on new topological structures.

    Min Li;Jian-er Chen;Jian-er Chen;Jian-xin Wang;Bin Hu

  • Protein–protein interaction site prediction through combining local and global features with deep neural networks

    Min Zeng;Fuhao Zhang;Fang-Xiang Wu;Yaohang Li

  • A new essential protein discovery method based on the integration of protein-protein interaction and gene expression data

    Min Li;Min Li;Hanhui Zhang;Jian-xin Wang;Yi Pan;Yi Pan

  • Prediction of lncRNA-disease associations based on inductive matrix completion.

    Chengqian Lu;Mengyun Yang;Feng Luo;Fang-Xiang Wu

  • Computational drug repositioning using low-rank matrix approximation and randomized algorithms.

    Huimin Luo;Min Li;Shaokai Wang;Quan Liu

  • DeepSignal: detecting DNA methylation state from Nanopore sequencing reads using deep-learning

    Peng Ni;Neng Huang;Zhi Zhang;De-Peng Wang

  • The evolution of the Internet of Things (IoT) over the past 20 years

    Jianxin Wang;Ming K. Lim;Ming K. Lim;Chao Wang;Ming-Lang Tseng;Ming-Lang Tseng

  • A Fast Hierarchical Clustering Algorithm for Functional Modules Discovery in Protein Interaction Networks

    Jianxin Wang;Min Li;Jianer Chen;Yi Pan

  • Classification of autism spectrum disorder by combining brain connectivity and deep neural network classifier

    Yazhou Kong;Jianliang Gao;Yunpei Xu;Yi Pan;Yi Pan

  • Minimizing Movement for Target Coverage and Network Connectivity in Mobile Sensor Networks

    Zhuofan Liao;Jianxin Wang;Shigeng Zhang;Jiannong Cao

  • Predicting essential proteins based on weighted degree centrality

    Xiwei Tang;Jianxin Wang;Jiancheng Zhong;Yi Pan

  • HyperAttentionDTI: improving drug-protein interaction prediction by sequence-based deep learning with attention mechanism.

    Qichang Zhao;Haochen Zhao;Kai Zheng;Jianxin Wang

  • A local average connectivity-based method for identifying essential proteins from the network level

    Min Li;Jianxin Wang;Xiang Chen;Huan Wang

  • Classification of Alzheimer's Disease Using Whole Brain Hierarchical Network

    Jin Liu;Min Li;Wei Lan;Fang-Xiang Wu

  • LDAP: a web server for lncRNA-disease association prediction

    Wei Lan;Min Li;Kaijie Zhao;Jin Liu

Frequent Co-Authors

Min Li
Min Li Central South University
Fang-Xiang Wu
Fang-Xiang Wu University of Saskatchewan
Jianer Chen
Jianer Chen Texas A&M University
Yaohang Li
Yaohang Li Old Dominion University
Rongling Wu
Rongling Wu Pennsylvania State University
Jiannong Cao
Jiannong Cao Hong Kong Polytechnic University
Jiong Guo
Jiong Guo Shandong University
Geyong Min
Geyong Min University of Exeter
Xi Zhang
Xi Zhang Texas A&M University
Tian He
Tian He University of Minnesota

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