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Zhihao Yang

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Computer Science 35 11735 11400 1453 1446 247 4968

Zhihao Yang publications per year

The chart shows the history of publications by Zhihao 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. Zhihao Yang published across 21 years, from 2005 to 2025, averaging 15.9 papers a year. Output peaked at 51 publications in 2024. 81 of the 334 publications appeared in the last two years.

No. of publications
10 20 30 40 50
Bar chart. Horizontal axis: year, 2005 to 2025. Vertical axis: number of publications, 0 to 51. Peak 51 publications in 2024. 2005: 1 publication 2006: 2 publications 2007: 9 publications 2008: 5 publications 2009: 5 publications 2010: 3 publications 2011: 11 publications 2012: 9 publications 2013: 13 publications 2014: 9 publications 2015: 12 publications 2016: 16 publications 2017: 10 publications 2018: 23 publications 2019: 26 publications 2020: 20 publications 2021: 17 publications 2022: 24 publications 2023: 38 publications 2024: 51 publications 2025: 30 publications
2005 2025

334 publications in total across all disciplines

View publications per year as a table
Zhihao Yang: publications per year, 2005 to 2025
Year Publications
2005 1
2006 2
2007 9
2008 5
2009 5
2010 3
2011 11
2012 9
2013 13
2014 9
2015 12
2016 16
2017 10
2018 23
2019 26
2020 20
2021 17
2022 24
2023 38
2024 51
2025 30
Total 334
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Zhihao 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 Zhihao 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, 242–251 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: 247 publications — 62nd percentile

62% 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
182–191 583
192–201 519
202–211 508
212–221 490
222–231 437
232–241 423
242–251 408 247
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
Download as CSV

Zhihao 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 Zhihao 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, 34–35 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: 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.

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 35
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
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
Download as CSV

Overview

Zhihao Yang is affiliated with Dalian University of Technology in China. Their research spans several interconnected fields, primarily focusing on computer science and biochemistry, genetics, and molecular biology. They have contributed extensively to artificial intelligence and molecular biology, alongside notable work in materials chemistry, biomedical engineering, and computer vision and pattern recognition.

Their scientific publications frequently address topics such as topic modeling, biomedical text mining and ontologies, natural language processing techniques, advanced text analysis techniques, machine learning applied to bioinformatics, advanced graph neural networks, and bioinformatics and genomic networks.

Yang has published multiple papers in respected journals, including:

  • Biomedical named entity recognition using BERT in the machine reading comprehension framework (2021), Journal of Biomedical Informatics
  • A neural network-based joint learning approach for biomedical entity and relation extraction from biomedical literature (2020), Journal of Biomedical Informatics
  • A multi-view network for real-time emotion recognition in conversations (2021), Knowledge-Based Systems
  • Multimodal reasoning based on knowledge graph embedding for specific diseases (2022), Bioinformatics
  • Taiyi: a bilingual fine-tuned large language model for diverse biomedical tasks (2024), Journal of the American Medical Informatics Association

The main venues where Yang has published regularly include:

  • Journal of Biomedical Informatics
  • arXiv (Cornell University)
  • Knowledge-Based Systems
  • BMC Bioinformatics
  • JMIR Medical Informatics

They frequently collaborate with notable coauthors such as Hongfei Lin, Jian Wang, Yijia Zhang, Lei Wang, and Guangyuan Tian.

Their research bridges computational methods and biomedical applications, involving advanced machine learning techniques, neural networks, and knowledge representation approaches. The topics of recent papers reflect a focus on natural language processing in biomedical contexts, real-time emotion recognition, and the application of knowledge graphs for disease understanding.

Best Publications

  • BioWordVec, improving biomedical word embeddings with subword information and MeSH.

    Yijia Zhang;Yijia Zhang;Qingyu Chen;Zhihao Yang;Hongfei Lin

  • An attention-based BiLSTM-CRF approach to document-level chemical named entity recognition

    Ling Luo;Zhihao Yang;Pei Yang;Yin Zhang

  • Drug Drug Interaction Extraction from Biomedical Literature Using Syntax Convolutional Neural Network

    Zhehuan Zhao;Zhihao Yang;Ling Luo;Hongfei Lin

  • Drug-drug interaction extraction via hierarchical RNNs on sequence and shortest dependency paths.

    Yijia Zhang;Wei Zheng;Wei Zheng;Hongfei Lin;Jian Wang

  • A hybrid model based on neural networks for biomedical relation extraction.

    Yijia Zhang;Hongfei Lin;Zhihao Yang;Jian Wang

  • An attention-based effective neural model for drug-drug interactions extraction

    Wei Zheng;Wei Zheng;Hongfei Lin;Ling Luo;Zhehuan Zhao

  • SemaTyP: a knowledge graph based literature mining method for drug discovery

    Shengtian Sang;Zhihao Yang;Lei Wang;Xiaoxia Liu

  • A neural network-based joint learning approach for biomedical entity and relation extraction from biomedical literature

    Ling Luo;Zhihao Yang;Mingyu Cao;Lei Wang

  • Neural network-based approaches for biomedical relation classification: A review.

    Yijia Zhang;Hongfei Lin;Zhihao Yang;Jian Wang

  • Incorporating rich background knowledge for gene named entity classification and recognition

    Yanpeng Li;Hongfei Lin;Zhihao Yang

  • A protein-protein interaction extraction approach based on deep neural network

    Zhehuan Zhao;Zhihao Yang;Hongfei Lin;Jian Wang

  • A multi-view network for real-time emotion recognition in conversations

    Hui Ma;Jian Wang;Hongfei Lin;Xuejun Pan

  • GrEDeL: A Knowledge Graph Embedding Based Method for Drug Discovery From Biomedical Literatures

    Shengtian Sang;Zhihao Yang;Xiaoxia Liu;Lei Wang

  • BioPPISVMExtractor: A protein-protein interaction extractor for biomedical literature using SVM and rich feature sets

    Zhihao Yang;Hongfei Lin;Yanpeng Li

  • Taiyi: a bilingual fine-tuned large language model for diverse biomedical tasks

    Unknown

  • Extracting Drug-Drug Interaction from the Biomedical Literature Using a Stacked Generalization-Based Approach

    Linna He;Zhihao Yang;Zhehuan Zhao;Hongfei Lin

  • Multiple kernel learning in protein-protein interaction extraction from biomedical literature

    Zhihao Yang;Nan Tang;Xiao Zhang;Hongfei Lin

  • Adverse drug reaction detection via a multihop self-attention mechanism

    Tongxuan Zhang;Hongfei Lin;Yuqi Ren;Liang Yang

  • Integrating shortest dependency path and sentence sequence into a deep learning framework for relation extraction in clinical text

    Zhiheng Li;Zhihao Yang;Chen Shen;Jun Xu

  • Brief Communication: Exploiting the performance of dictionary-based bio-entity name recognition in biomedical literature

    Zhihao Yang;Hongfei Lin;Yanpeng Li

  • Disease named entity recognition from biomedical literature using a novel convolutional neural network.

    Zhehuan Zhao;Zhihao Yang;Ling Luo;Lei Wang

  • A method for predicting protein complex in dynamic PPI networks.

    Yijia Zhang;Hongfei Lin;Zhihao Yang;Jian Wang

  • Opinion Mining in e-Learning System

    Dan Song;Hongfei Lin;Zhihao Yang

Frequent Co-Authors

Lei Wang
Lei Wang University of Wollongong
Feng Xia
Feng Xia RMIT University
Lei Wang
Lei Wang University of California, San Francisco
Bo Xu
Bo Xu Nanjing University of Science and Technology
Xiaodong Liu
Xiaodong Liu Dalian University of Technology
Zhiyong Lu
Zhiyong Lu National Institutes of Health
Xiaohua Hu
Xiaohua Hu Drexel University
Yu Liu
Yu Liu University of Electronic Science and Technology of China
Michel Dumontier
Michel Dumontier Maastricht University
Xiangjie Kong
Xiangjie Kong Zhejiang University of Technology

External Links

Personal website of Zhihao Yang

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Best Scientists Citing Zhihao Yang

Zhiyong Lu

Zhiyong Lu

National Institutes of Health

Publications: 26

Buzhou Tang

Buzhou Tang

Harbin Institute of Technology

Publications: 11

Makoto Miwa

Makoto Miwa

Toyota Technological Institute

Publications: 11

Hamido Fujita

Hamido Fujita

University of Technology Malaysia

Publications: 11

Karin Verspoor

Karin Verspoor

RMIT University

Publications: 10

Jaewoo Kang

Jaewoo Kang

Korea University

Publications: 8

Keun Ho Ryu

Keun Ho Ryu

Ton Duc Thang University

Publications: 8

Cathy H. Wu

Cathy H. Wu

University of Delaware

Publications: 8

Fang-Xiang Wu

Fang-Xiang Wu

University of Saskatchewan

Publications: 8

Wen-Lian Hsu

Wen-Lian Hsu

Academia Sinica

Publications: 7

Chih-Hsuan Wei

Chih-Hsuan Wei

National Institutes of Health

Publications: 7

Jijun Tang

Jijun Tang

University of South Carolina

Publications: 7

W. John Wilbur

W. John Wilbur

National Institutes of Health

Publications: 7

Bo Xu

Bo Xu

Nanjing University of Science and Technology

Publications: 6

Hong Yan

Hong Yan

City University of Hong Kong

Publications: 6

Aidong Zhang

Aidong Zhang

University of Virginia

Publications: 6

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