World's Best Scientists 2026 revealed!

D-Index & Metrics

Genetics

D-Index
69
Citations
14795
World Ranking
2367
National Ranking
62

Bao Liu publication distribution in Genetics in 2026

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

45–54 publications: 6 scientists 55–64 publications: 10 scientists 65–74 publications: 35 scientists 75–84 publications: 84 scientists 85–94 publications: 102 scientists 95–104 publications: 151 scientists 105–114 publications: 175 scientists 115–124 publications: 203 scientists 125–134 publications: 217 scientists 135–144 publications: 205 scientists 145–154 publications: 193 scientists 155–164 publications: 188 scientists 165–174 publications: 170 scientists 175–184 publications: 178 scientists 185–194 publications: 164 scientists 195–204 publications: 173 scientists 205–214 publications: 159 scientists 215–224 publications: 134 scientists 225–234 publications: 143 scientists 235–244 publications: 105 scientists 245–254 publications: 114 scientists 255–264 publications: 92 scientists 265–274 publications: 88 scientists 275–284 publications: 87 scientists 285–294 publications: 80 scientists 295–304 publications: 62 scientists 305–314 publications: 75 scientists 315–324 publications: 67 scientists 325–334 publications: 60 scientists 335–344 publications: 52 scientists 345–354 publications: 40 scientists 355–364 publications: 48 scientists 365–374 publications: 47 scientists 375–384 publications: 46 scientists 385–394 publications: 31 scientists 395–404 publications: 27 scientists 405–414 publications: 40 scientists 415–424 publications: 30 scientists 425–434 publications: 43 scientists 435–444 publications: 29 scientists 445–454 publications: 14 scientists 455–464 publications: 28 scientists 465–474 publications: 21 scientists 475–484 publications: 21 scientists 485–494 publications: 22 scientists 495–504 publications: 17 scientists 505–514 publications: 12 scientists 515–524 publications: 11 scientists 525–534 publications: 8 scientists 535–544 publications: 8 scientists 545–554 publications: 14 scientists 555–564 publications: 4 scientists 565–574 publications: 11 scientists 575–584 publications: 5 scientists 585–594 publications: 11 scientists 595–604 publications: 12 scientists 605–614 publications: 7 scientists 615–624 publications: 6 scientists 625–634 publications: 10 scientists 635–644 publications: 9 scientists 645–654 publications: 10 scientists 655–664 publications: 6 scientists 665–674 publications: 6 scientists 675–684 publications: 6 scientists 685–694 publications: 4 scientists 695–702 publications: 6 scientists 703+ publications: 100 scientists
45 publications 703+

This scientist: 259 publications — 68th percentile

68% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 703 publications or more.

Bao Liu D-index placement in Genetics in 2026

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

40–41 D-Index: 24 scientists 42–43 D-Index: 52 scientists 44–45 D-Index: 84 scientists 46–47 D-Index: 112 scientists 48–49 D-Index: 118 scientists 50–51 D-Index: 141 scientists 52–53 D-Index: 143 scientists 54–55 D-Index: 145 scientists 56–57 D-Index: 179 scientists 58–59 D-Index: 162 scientists 60–61 D-Index: 175 scientists 62–63 D-Index: 191 scientists 64–65 D-Index: 172 scientists 66–67 D-Index: 184 scientists 68–69 D-Index: 164 scientists 70–71 D-Index: 158 scientists 72–73 D-Index: 150 scientists 74–75 D-Index: 136 scientists 76–77 D-Index: 127 scientists 78–79 D-Index: 127 scientists 80–81 D-Index: 111 scientists 82–83 D-Index: 110 scientists 84–85 D-Index: 110 scientists 86–87 D-Index: 84 scientists 88–89 D-Index: 102 scientists 90–91 D-Index: 66 scientists 92–93 D-Index: 72 scientists 94–95 D-Index: 70 scientists 96–97 D-Index: 54 scientists 98–99 D-Index: 60 scientists 100–101 D-Index: 49 scientists 102–103 D-Index: 55 scientists 104–105 D-Index: 45 scientists 106–107 D-Index: 42 scientists 108–109 D-Index: 28 scientists 110–111 D-Index: 39 scientists 112–113 D-Index: 25 scientists 114–115 D-Index: 31 scientists 116–117 D-Index: 29 scientists 118–119 D-Index: 34 scientists 120–121 D-Index: 29 scientists 122–123 D-Index: 29 scientists 124–125 D-Index: 18 scientists 126–127 D-Index: 27 scientists 128–129 D-Index: 22 scientists 130–131 D-Index: 16 scientists 132–133 D-Index: 11 scientists 134–135 D-Index: 17 scientists 136–137 D-Index: 12 scientists 138–139 D-Index: 21 scientists 140–141 D-Index: 4 scientists 142–143 D-Index: 9 scientists 144–145 D-Index: 14 scientists 146–147 D-Index: 6 scientists 148–149 D-Index: 10 scientists 150–151 D-Index: 7 scientists 152–153 D-Index: 9 scientists 154–155 D-Index: 8 scientists 156–157 D-Index: 8 scientists 158–159 D-Index: 9 scientists 160+ D-Index: 96 scientists
40 D-Index 160+

This scientist: 69 D-Index — 47th percentile

47% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 160 D-Index or more.

Overview

Bao Liu is affiliated with Northeast Normal University in China and has contributed to multiple fields primarily within engineering and computer science. Their research work spans various subfields including computer vision and pattern recognition, electrical and electronic engineering, artificial intelligence, media technology, and mechanical engineering.

The scientist's work covers a diverse set of main topics, reflecting their interdisciplinary focus. These topics include:

  • Advanced Image Processing Techniques
  • Image Processing Techniques and Applications
  • Anomaly Detection Techniques and Applications
  • Generative Adversarial Networks and Image Synthesis
  • Target Tracking and Data Fusion in Sensor Networks
  • Conservation Techniques and Studies
  • Infrastructure Maintenance and Monitoring

Bao Liu's recent publications demonstrate a range of interests from applied engineering methods to machine learning and image synthesis. Notable papers include:

  • "A weak-form interpolation meshfree method for computing underwater acoustic radiation," 2021, published in Ocean Engineering
  • "LA-YOLO: Bidirectional Adaptive Feature Fusion Approach for Small Object Detection of Insulator Self-Explosion Defects," 2024, IEEE Transactions on Power Delivery
  • "Immovable Cultural Relics Disease Prediction Based on Relevance Vector Machine," 2020, Mathematical Problems in Engineering
  • "A Brief Review of Machine Learning Algorithms for Cooperative Spectrum Sensing," 2021, Journal of Physics Conference Series
  • "Dual Discriminator Weighted Mixture Generative Adversarial Network for image generation," 2022, Journal of Ambient Intelligence and Humanized Computing

The scientist often collaborates with peers in their field. Frequent coauthors include:

  • Jingting Wang
  • Kun Mu
  • Wenqiang Jiang
  • Fei Ye

Bao Liu's work frequently appears in specific publication venues, with multiple contributions to journals such as:

  • Mathematical Problems in Engineering
  • Journal of Electronic Imaging
  • IEEE Transactions on Instrumentation and Measurement
  • SSRN Electronic Journal
  • IEEE Transactions on Power Delivery

The scope of Bao Liu's research spans both theoretical and applied dimensions, integrating machine learning and computer vision techniques within broader engineering challenges and conservation studies.

Best Publications

  • Single-base resolution methylomes of tomato fruit development reveal epigenome modifications associated with ripening

    Silin Zhong;Zhangjun Fei;Zhangjun Fei;Yun-Ru Chen;Yi Zheng

  • High-throughput illumina strand-specific RNA sequencing library preparation.

    Silin Zhong;Je-Gun Joung;Yi Zheng;Yun-ru Chen

  • Polyploid formation in cotton is not accompanied by rapid genomic changes

    B Liu;C L Brubaker;G Mergeai;R C Cronn

  • Epigenetic phenomena and the evolution of plant allopolyploids

    Bao Liu;Jonathan F Wendel

  • Rate Variation Among Nuclear Genes and the Age of Polyploidy in Gossypium

    David S. Senchina;Ines Alvarez;Richard Clark Cronn;Bao Liu

  • Retrotransposon activation followed by rapid repression in introgressed rice plants.

    Bao Liu;Jonathan F Wendel

  • Heritable alteration in DNA methylation induced by nitrogen-deficiency stress accompanies enhanced tolerance by progenies to the stress in rice (Oryza sativa L.).

    H.P. Kou;Y. Li;X.X. Song;X.F. Ou

  • DNA cytosine methylation in plant development

    Meishan Zhang;Josphert N. Kimatu;Kezhang Xu;Bao Liu

  • Genomic constitution and variation in five partial amphiploids of wheat–Thinopyrum intermedium as revealed by GISH, multicolor GISH and seed storage protein analysis

    Fangpu Han;Fangpu Han;Bao Liu;George Fedak;Zhaohui Liu

  • Mobilization of the Active MITE Transposons mPing and Pong in Rice by Introgression from Wild Rice (Zizania latifolia Griseb.)

    Xiaohui Shan;Zhenlan Liu;Zhenying Dong;Yongming Wang

  • Effects of salt stress on ion balance and nitrogen metabolism of old and young leaves in rice (Oryza sativa L.).

    Huan Wang;Meishan Zhang;Rui Guo;Decheng Shi

  • Transgenerational inheritance of modified DNA methylation patterns and enhanced tolerance induced by heavy metal stress in rice (Oryza sativa L.).

    Xiufang Ou;Yunhong Zhang;Chunming Xu;Xiuyun Lin

  • Persistent whole-chromosome aneuploidy is generally associated with nascent allohexaploid wheat.

    Huakun Zhang;Yao Bian;Xiaowan Gou;Bo Zhu;Bo Zhu

  • Evolution of physiological responses to salt stress in hexaploid wheat

    Chunwu Yang;Long Zhao;Huakun Zhang;Zongze Yang

  • Non-Mendelian Phenomena in Allopolyploid Genome Evolution

    Bao Liu;Jonathan F. Wendel

  • Rapid and Repeatable Elimination of a Parental Genome-Specific DNA Repeat (pGc1R-1a) in Newly Synthesized Wheat Allopolyploids

    Fangpu Han;George Fedak;Wanli Guo;Bao Liu

  • Mutation of a major CG methylase in rice causes genome-wide hypomethylation, dysregulated genome expression, and seedling lethality

    Lanjuan Hu;Ning Li;Chunming Xu;Silin Zhong;Silin Zhong

  • Stress-inducible expression of GmDREB1 conferred salt tolerance in transgenic alfalfa

    Taicheng Jin;Taicheng Jin;Qing Chang;Wangfeng Li;Dongxu Yin

  • Infraspecific DNA Methylation Polymorphism in Cotton (Gossypium hirsutum L.)

    Anna L. Keyte;Ryan Percifield;Bao Liu;Jonathan F. Wendel

  • Genome-Wide Prediction and Validation of Intergenic Enhancers in Arabidopsis Using Open Chromatin Signatures.

    Bo Zhu;Bo Zhu;Wenli Zhang;Tao Zhang;Bao Liu

Frequent Co-Authors

Xiuyun Lin
Xiuyun Lin Beijing Normal University
Andrew B. Kahng
Andrew B. Kahng University of California, San Diego
Jonathan F. Wendel
Jonathan F. Wendel Iowa State University
Fangpu Han
Fangpu Han Chinese Academy of Sciences
Diter von Wettstein
Diter von Wettstein Washington State University
James J. Giovannoni
James J. Giovannoni Boyce Thompson Institute
Zhangjun Fei
Zhangjun Fei Cornell University
Sheldon X.-D. Tan
Sheldon X.-D. Tan University of California, Riverside
Charles J. Alpert
Charles J. Alpert Cadence Design Systems
Jiming Jiang
Jiming Jiang Michigan State University

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