World's Best Scientists 2026 revealed!
Jianyi Yang

Jianyi Yang

D-Index & Metrics

Computer Science

D-Index
35
Citations
18025
World Ranking
11416
National Ranking
1415

Jianyi Yang 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 Jianyi Yang 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: 59 publications — 1st percentile

1% of scientists in this discipline score the same or lower.

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

Jianyi Yang 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 Jianyi Yang 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: 35 D-Index — 20th percentile

20% of scientists in this discipline score the same or lower.

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

Overview

Jianyi Yang is affiliated with Nankai University in China and has a significant research presence in the intersection of biochemistry, molecular biology, and computer science. Their work primarily spans the fields of Biochemistry, Genetics and Molecular Biology, with 123 publications, and Computer Science with 59 publications. Within these broad domains, Jianyi Yang has contributed notably to subfields including Molecular Biology, Artificial Intelligence, Materials Chemistry, Electrical and Electronic Engineering, and Computer Vision and Pattern Recognition.

Their research topics focus extensively on Machine Learning applications in Bioinformatics, Protein Structure and Dynamics, RNA and protein synthesis mechanisms, Genomics and Phylogenetic Studies, Enzyme Structure and Function, RNA modifications and cancer, and Computational Drug Discovery Methods.

Jianyi Yang has coauthored numerous studies with frequent collaborators such as Zhenling Peng, Wenkai Wang, Shaolei Ren, Hong Wei, and Zongyang Du. These partnerships underline a collaborative approach to advancing their fields of study.

Their publication record includes contributions to several high-impact journals and repositories. Some of the main venues where Jianyi Yang's work appears are arXiv (Cornell University) with 17 publications, bioRxiv (Cold Spring Harbor Laboratory) with 12, Bioinformatics with 7, Nature Communications with 4, and Proteins Structure Function and Bioinformatics with 4.

Key recent papers authored or coauthored by Jianyi Yang include:

  • Improved protein structure prediction using predicted interresidue orientations (2020), published in Proceedings of the National Academy of Sciences
  • The trRosetta server for fast and accurate protein structure prediction (2021), published in Nature Protocols
  • trRosettaRNA: automated prediction of RNA 3D structure with transformer network (2023), published in Nature Communications
  • Single-sequence protein structure prediction using supervised transformer protein language models (2022), published in Nature Computational Science
  • SARS-CoV-2 nucleocapsid protein binds host mRNAs and attenuates stress granules to impair host stress response (2021), published in iScience

Best Publications

  • The I-TASSER Suite: protein structure and function prediction

    Jianyi Yang;Renxiang Yan;Ambrish Roy;Dong Xu

  • I-TASSER server: new development for protein structure and function predictions

    Jianyi Yang;Yang Zhang

  • Improved protein structure prediction using predicted interresidue orientations

    Jianyi Yang;Ivan Anishchenko;Hahnbeom Park;Zhenling Peng

  • Protein–ligand binding site recognition using complementary binding-specific substructure comparison and sequence profile alignment

    Jianyi Yang;Ambrish Roy;Yang Zhang

  • COFACTOR: an accurate comparative algorithm for structure-based protein function annotation

    Ambrish Roy;Jianyi Yang;Yang Zhang

  • BioLiP: a semi-manually curated database for biologically relevant ligand–protein interactions

    Jianyi Yang;Ambrish Roy;Yang Zhang

  • Protein Structure and Function Prediction Using I‐TASSER

    Jianyi Yang;Jianyi Yang;Yang Zhang

  • PotentialNet for Molecular Property Prediction

    Evan N. Feinberg;Debnil Sur;Zhenqin Wu;Brooke E. Husic

  • COACH-D: improved protein-ligand binding sites prediction with refined ligand-binding poses through molecular docking.

    Qi Wu;Zhenling Peng;Yang Zhang;Jianyi Yang

  • A comparative assessment and analysis of 20 representative sequence alignment methods for protein structure prediction

    Renxiang Yan;Dong Xu;Jianyi Yang;Sara Walker

  • GPCR-I-TASSER: A Hybrid Approach to G Protein-Coupled Receptor Structure Modeling and the Application to the Human Genome.

    Jian Zhang;Jianyi Yang;Jianyi Yang;Richard Jang;Yang Zhang

  • ResQ: An Approach to Unified Estimation of B-Factor and Residue-Specific Error in Protein Structure Prediction.

    Jianyi Yang;Yan Wang;Yang Zhang

  • Prediction of protein structural classes by recurrence quantification analysis based on chaos game representation.

    Jian-Yi Yang;Zhen-Ling Peng;Zu-Guo Yu;Zu-Guo Yu;Rui-Jie Zhang

  • Recognizing metal and acid radical ion-binding sites by integrating ab initio modeling with template-based transferals

    Xiuzhen Hu;Qiwen Dong;Jianyi Yang;Yang Zhang

  • mTM-align: an algorithm for fast and accurate multiple protein structure alignment.

    Runze Dong;Zhenling Peng;Yang Zhang;Jianyi Yang

  • GLASS: a comprehensive database for experimentally validated GPCR-ligand associations

    Wallace K. B. Chan;Hongjiu Zhang;Jianyi Yang;Jeffrey R. Brender

  • Prediction of protein structural classes for low-homology sequences based on predicted secondary structure

    Jian-Yi Yang;Zhen-Ling Peng;Xin Chen

  • mTM-align: a server for fast protein structure database search and multiple protein structure alignment.

    Runze Dong;Shuo Pan;Zhenling Peng;Yang Zhang

  • Structural and Sequence Similarity Makes a Significant Impact on Machine-Learning-Based Scoring Functions for Protein-Ligand Interactions.

    Yang Li;Jianyi Yang

  • Integration of QUARK and I‐TASSER for Ab Initio Protein Structure Prediction in CASP11

    Wenxuan Zhang;Jianyi Yang;Baoji He;Sara Elizabeth Walker

  • Protein contact prediction using metagenome sequence data and residual neural networks.

    Qi Wu;Zhenling Peng;Ivan Anishchenko;Qian Cong

  • Improved protein structure prediction using predicted inter-residue orientations

    Jianyi Yang;Ivan Anishchenko;Hahnbeom Park;Zhenling Peng

Frequent Co-Authors

Yang Zhang
Yang Zhang University of Michigan–Ann Arbor
Vo Anh
Vo Anh Queensland University of Technology
David Baker
David Baker University of Washington
Lukasz Kurgan
Lukasz Kurgan Virginia Commonwealth University
Vijay S. Pande
Vijay S. Pande Stanford University
Vladimir N. Uversky
Vladimir N. Uversky University of South Florida
James C. A. Bardwell
James C. A. Bardwell University of Michigan–Ann Arbor
Chaim Gilon
Chaim Gilon Hebrew University of Jerusalem
Kim A. Brogden
Kim A. Brogden University of Iowa
Christoph H. Borchers
Christoph H. Borchers McGill University

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