World's Best Scientists 2026 revealed!

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Computer Science 54 4589 4460 615 611 174 11257

Yuedong Yang publications per year

The chart shows the history of publications by Yuedong Yang between 2005 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Yuedong Yang published across 21 years, from 2005 to 2025, averaging 15 papers a year. Output peaked at 47 publications in 2024. 72 of the 315 publications appeared in the last two years.

No. of publications
10 20 30 40
Bar chart. Horizontal axis: year, 2005 to 2025. Vertical axis: number of publications, 0 to 47. Peak 47 publications in 2024. 2005: 3 publications 2006: 1 publication 2007: 0 publications 2008: 2 publications 2009: 2 publications 2010: 2 publications 2011: 5 publications 2012: 3 publications 2013: 6 publications 2014: 9 publications 2015: 4 publications 2016: 17 publications 2017: 15 publications 2018: 15 publications 2019: 15 publications 2020: 21 publications 2021: 44 publications 2022: 45 publications 2023: 34 publications 2024: 47 publications 2025: 25 publications
2005 2025

315 publications in total across all disciplines

View publications per year as a table
Yuedong Yang: publications per year, 2005 to 2025
Year Publications
2005 3
2006 1
2007 0
2008 2
2009 2
2010 2
2011 5
2012 3
2013 6
2014 9
2015 4
2016 17
2017 15
2018 15
2019 15
2020 21
2021 44
2022 45
2023 34
2024 47
2025 25
Total 315
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Yuedong Yang publications per year - data summary

  • Yuedong Yang, a Computer Science scholar from Sun Yat-sen University, has 315 publications recorded across 21 years, from 2005 to 2025.
  • The oldest publication on record dates to 2005 and the most recent to 2025.
  • The most productive year is 2024, with 47 publications.
  • The least productive year with any output is 2006, with 1 publication.
  • 1 of the 21 years in the span carries no publications at all (2007).
  • The rate of publication averages 15.0 papers per year over the whole span, or 15.8 per year counting only the 20 years with at least one publication.
  • The last 5 years on the chart (2021-2025) hold 195 publications, 62% of the career total.
  • Split into equal eras - 2005-2011: 15 publications (2.1 per year); 2012-2018: 69 publications (9.9 per year); 2019-2025: 231 publications (33.0 per year).
  • Comparing the opening and closing eras, the overall trend of publication is rising.

Yuedong 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 Yuedong Yang sits on this spectrum.

No. of scientists
200 400 600
Bar chart with 97 bars. Horizontal axis: publications, 32–41 to 991+. Vertical axis: number of scientists, 0 to 609. Most scientists, 609, have 142–151 publications. The last bar groups every scientist with 991 publications or more. The highlighted bar, 172–181 publications, is where this scientist sits. 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
32–41 publications 991+

This scientist: 174 publications — 36th percentile

36% of scientists in this discipline score the same or lower.

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

View publications distribution as a table
Number of Computer Science scientists by publication count, Research.com 2026 ranking edition. Based on 14,188 ranked scientists.
Publications Scientists This scientist
32–41 7
42–51 22
52–61 82
62–71 134
72–81 249
82–91 324
92–101 421
102–111 420
112–121 497
122–131 544
132–141 555
142–151 609
152–161 559
162–171 534
172–181 556 174
182–191 583
192–201 519
202–211 508
212–221 490
222–231 437
232–241 423
242–251 408
252–261 377
262–271 301
272–281 335
282–291 320
292–301 293
302–311 250
312–321 238
322–331 206
332–341 209
342–351 208
352–361 162
362–371 176
372–381 127
382–391 158
392–401 128
402–411 104
412–421 94
422–431 99
432–441 83
442–451 108
452–461 73
462–471 77
472–481 69
482–491 84
492–501 62
502–511 54
512–521 57
522–531 51
532–541 51
542–551 32
552–561 38
562–571 28
572–581 43
582–591 33
592–601 41
602–611 32
612–621 28
622–631 25
632–641 27
642–651 17
652–661 20
662–671 17
672–681 15
682–691 14
692–701 21
702–711 13
712–721 12
722–731 19
732–741 14
742–751 12
752–761 10
762–771 10
772–781 11
782–791 10
792–801 11
802–811 8
812–821 8
822–831 7
832–841 11
842–851 10
852–861 5
862–871 9
872–881 4
882–891 6
892–901 3
902–911 6
912–921 3
922–931 2
932–941 2
942–951 2
952–961 3
962–971 3
972–981 3
982–990 5
991+ 100
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Yuedong Yang publication distribution in Computer Science in 2026 - data summary

  • The chart plots the publication count of all 14,188 Computer Science scientists ranked by Research.com in 2026, grouped into 97 ranges running from 32–41 to 991+ publications.
  • Yuedong Yang, a Computer Science scholar from Sun Yat-sen University, records 174 publications - the 36th percentile of the discipline.
  • 36% of ranked Computer Science scientists score the same or lower than Yuedong Yang, and about 64% score higher.
  • The median of the discipline falls in the 202–211 publications range, and Yuedong Yang ranks below the median.
  • The most crowded range is 142–151 publications, holding 609 scientists (4% of the field).
  • 70% of the field sits in the lowest quarter of the value range (up to 272–281 publications), so the distribution is heavily right-skewed and high scores are rare.
  • The final bar has no upper bound: it groups every scientist with 991 publications or more, 100 scientists in all (<1% of the field).

Yuedong 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 Yuedong Yang sits on this spectrum.

No. of scientists
200 400 600 800
Bar chart with 52 bars. Horizontal axis: D-Index, 30–31 to 131+. Vertical axis: number of scientists, 0 to 990. Most scientists, 990, have 36–37 D-Index. The last bar groups every scientist with 131 D-Index or more. The highlighted bar, 54–55 D-Index, is where this scientist sits. 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
30–31 D-Index 131+

This scientist: 54 D-Index — 69th percentile

69% of scientists in this discipline score the same or lower.

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

View D-Index distribution as a table
Number of Computer Science scientists by D-index, Research.com 2026 ranking edition. Based on 14,188 ranked scientists.
D-Index Scientists This scientist
30–31 879
32–33 983
34–35 918
36–37 990
38–39 968
40–41 907
42–43 821
44–45 763
46–47 689
48–49 543
50–51 543
52–53 518
54–55 500 54
56–57 458
58–59 400
60–61 337
62–63 308
64–65 292
66–67 249
68–69 213
70–71 192
72–73 189
74–75 165
76–77 139
78–79 119
80–81 121
82–83 113
84–85 88
86–87 87
88–89 75
90–91 69
92–93 57
94–95 46
96–97 38
98–99 34
100–101 36
102–103 27
104–105 37
106–107 18
108–109 31
110–111 19
112–113 16
114–115 12
116–117 20
118–119 15
120–121 5
122–123 20
124–125 8
126–127 5
128–129 7
130 3
131+ 98
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Yuedong Yang D-index placement in Computer Science in 2026 - data summary

  • The chart plots the discipline H-index (D-index) of all 14,188 Computer Science scientists ranked by Research.com in 2026, grouped into 52 ranges running from 30–31 to 131+ D-Index.
  • Yuedong Yang, a Computer Science scholar from Sun Yat-sen University, records 54 D-Index - the 69th percentile of the discipline.
  • 69% of ranked Computer Science scientists score the same or lower than Yuedong Yang, and about 31% score higher.
  • The median of the discipline falls in the 44–45 D-Index range, and Yuedong Yang ranks above the median.
  • The most crowded range is 36–37 D-Index, holding 990 scientists (7% of the field).
  • 71% of the field sits in the lowest quarter of the value range (up to 54–55 D-Index), so the distribution is heavily right-skewed and high scores are rare.
  • The final bar has no upper bound: it groups every scientist with 131 D-Index or more, 98 scientists in all (<1% of the field).

Overview

Yuedong Yang is affiliated with Sun Yat-sen University in China and has contributed extensively to the field of Biochemistry, Genetics and Molecular Biology. Their main body of research includes numerous publications with a focus on the subfields of Molecular Biology, Computational Theory and Mathematics, Artificial Intelligence, Materials Chemistry, and Cancer Research.

Their published works cover a range of main research topics, including:

  • Computational Drug Discovery Methods
  • Bioinformatics and Genomic Networks
  • Protein Structure and Dynamics
  • Machine Learning in Bioinformatics
  • Single-cell and spatial transcriptomics
  • Gene expression and cancer classification
  • RNA and protein synthesis mechanisms

Yuedong Yang has coauthored frequently with several researchers, including:

  • Shuangjia Zheng
  • Jiahua Rao
  • Yutong Lu
  • Huiying Zhao

Their work has been published in various research venues, notably:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • Briefings in Bioinformatics
  • arXiv (Cornell University)
  • Journal of Chemical Information and Modeling
  • Nature Communications

Selected recent papers include:

  • Deep Learning Enables Accurate Diagnosis of Novel Coronavirus (COVID-19) With CT Images, 2021, IEEE/ACM Transactions on Computational Biology and Bioinformatics
  • Deep learning Enables Accurate Diagnosis of Novel Coronavirus (COVID-19) with CT images, 2020, bioRxiv (Cold Spring Harbor Laboratory)
  • Predicting drug-protein interaction using quasi-visual question answering system, 2020, Nature Machine Intelligence
  • Structure-aware protein-protein interaction site prediction using deep graph convolutional network, 2021, Bioinformatics
  • Integrating multi-omics data through deep learning for accurate cancer prognosis prediction, 2021, Computers in Biology and Medicine

Best Publications

  • Capturing non-local interactions by long short-term memory bidirectional recurrent neural networks for improving prediction of protein secondary structure, backbone angles, contact numbers and solvent accessibility.

    Rhys Heffernan;Yuedong Yang;Kuldip K. Paliwal;Yaoqi Zhou

  • Deep learning Enables Accurate Diagnosis of Novel Coronavirus (COVID-19) with CT images

    Song Ying;Shuangjia Zheng;Liang Li;Xiang Zhang

  • Improving protein fold recognition and template-based modeling by employing probabilistic-based matching between predicted one-dimensional structural properties of query and corresponding native properties of templates

    Yuedong Yang;Eshel Faraggi;Huiying Zhao;Yaoqi Zhou

  • Improving prediction of secondary structure, local backbone angles, and solvent accessible surface area of proteins by iterative deep learning.

    Rhys Heffernan;Kuldip Paliwal;James Lyons;Abdollah Dehzangi

  • Improving protein disorder prediction by deep bidirectional long short-term memory recurrent neural networks.

    Jack Hanson;Yuedong Yang;Kuldip K. Paliwal;Yaoqi Zhou

  • Predicting drug–protein interaction using quasi-visual question answering system

    Shuangjia Zheng;Yongjian Li;Sheng Chen;Jun Xu

  • SPINE X: Improving protein secondary structure prediction by multistep learning coupled with prediction of solvent accessible surface area and backbone torsion angles

    Eshel Faraggi;Tuo Zhang;Tuo Zhang;Yuedong Yang;Yuedong Yang;Lukasz A. Kurgan;Lukasz A. Kurgan

  • Sixty-five years of the long march in protein secondary structure prediction: the final stretch?

    Yuedong Yang;Jianzhao Gao;Jihua Wang;Rhys Heffernan

  • Specific interactions for ab initio folding of protein terminal regions with secondary structures

    Yuedong Yang;Yaoqi Zhou

  • Structural insights into the histone H1-nucleosome complex

    Bing-Rui Zhou;Hanqiao Feng;Hidenori Kato;Liang Dai

  • Improving prediction of protein secondary structure, backbone angles, solvent accessibility and contact numbers by using predicted contact maps and an ensemble of recurrent and residual convolutional neural networks

    Jack Hanson;Kuldip K. Paliwal;Thomas Litfin;Yuedong Yang

  • JAK2-binding long noncoding RNA promotes breast cancer brain metastasis.

    Shouyu Wang;Ke Liang;Qingsong Hu;Ping Li

  • Accurate prediction of protein contact maps by coupling residual two-dimensional bidirectional long short-term memory with convolutional neural networks.

    Jack Hanson;Kuldip K. Paliwal;Thomas Litfin;Yuedong Yang;Yuedong Yang

  • SPIDER2: A Package to Predict Secondary Structure, Accessible Surface Area, and Main-Chain Torsional Angles by Deep Neural Networks

    Yuedong Yang;Rhys Heffernan;Kuldip Paliwal;James Lyons

  • Predicting backbone Cα angles and dihedrals from protein sequences by stacked sparse auto-encoder deep neural network.

    James G. Lyons;Abdollah Dehzangi;Abdollah Dehzangi;Rhys Heffernan;Alok Sharma;Alok Sharma

  • Structure-aware protein-protein interaction site prediction using deep graph convolutional network.

    Qianmu Yuan;Jianwen Chen;Huiying Zhao;Yaoqi Zhou

  • Ab initio folding of terminal segments with secondary structures reveals the fine difference between two closely related all-atom statistical energy functions

    Yuedong Yang;Yaoqi Zhou;Yaoqi Zhou

  • Integrating multi-omics data through deep learning for accurate cancer prognosis prediction

    Hua Chai;Xiang Zhou;Zhongyue Zhang;Jiahua Rao

  • Community-wide assessment of protein-interface modeling suggests improvements to design methodology

    Sarel J. Fleishman;Sarel J. Fleishman;Timothy A. Whitehead;Eva Maria Strauch;Jacob E. Corn;Jacob E. Corn

  • Predicting Continuous Local Structure and the Effect of Its Substitution for Secondary Structure in Fragment-Free Protein Structure Prediction

    Eshel Faraggi;Yuedong Yang;Shesheng Zhang;Yaoqi Zhou;Yaoqi Zhou

  • PharmKG: a dedicated knowledge graph benchmark for bomedical data mining

    Shuangjia Zheng;Jiahua Rao;Ying Song;Jixian Zhang

  • Communicative Representation Learning on Attributed Molecular Graphs

    Ying Song;Shuangjia Zheng;Zhangming Niu;Zhang-hua Fu;Zhang-hua Fu

Frequent Co-Authors

Yaoqi Zhou
Yaoqi Zhou Griffith University
Kuldip K. Paliwal
Kuldip K. Paliwal Griffith University
David Neil Cooper
David Neil Cooper Cardiff University
Matthew Mort
Matthew Mort Cardiff University
Yunlong Liu
Yunlong Liu Indiana University
Abdollah Dehzangi
Abdollah Dehzangi Rutgers, The State University of New Jersey
Abdul Sattar
Abdul Sattar Griffith University
Alok Sharma
Alok Sharma Griffith University
Alan Wee-Chung Liew
Alan Wee-Chung Liew Griffith University
Kate L. Seib
Kate L. Seib Griffith University

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