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 63 2805 2722 385 382 545 12436

Hai Zhao publications per year

The chart shows the history of publications by Hai Zhao between 1993 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Hai Zhao published across 33 years, from 1993 to 2025, averaging 22.8 papers a year. Output peaked at 72 publications in 2020. 66 of the 751 publications appeared in the last two years.

No. of publications
20 40 60
Bar chart. Horizontal axis: year, 1993 to 2025. Vertical axis: number of publications, 0 to 72. Peak 72 publications in 2020. 1993: 2 publications 1994: 0 publications 1995: 1 publication 1996: 0 publications 1997: 0 publications 1998: 1 publication 1999: 0 publications 2000: 0 publications 2001: 1 publication 2002: 1 publication 2003: 3 publications 2004: 6 publications 2005: 9 publications 2006: 8 publications 2007: 16 publications 2008: 20 publications 2009: 28 publications 2010: 34 publications 2011: 20 publications 2012: 35 publications 2013: 49 publications 2014: 42 publications 2015: 30 publications 2016: 35 publications 2017: 26 publications 2018: 58 publications 2019: 66 publications 2020: 72 publications 2021: 72 publications 2022: 11 publications 2023: 39 publications 2024: 36 publications 2025: 30 publications
1993 2025

751 publications in total across all disciplines

View publications per year as a table
Hai Zhao: publications per year, 1993 to 2025
Year Publications
1993 2
1994 0
1995 1
1996 0
1997 0
1998 1
1999 0
2000 0
2001 1
2002 1
2003 3
2004 6
2005 9
2006 8
2007 16
2008 20
2009 28
2010 34
2011 20
2012 35
2013 49
2014 42
2015 30
2016 35
2017 26
2018 58
2019 66
2020 72
2021 72
2022 11
2023 39
2024 36
2025 30
Total 751
Download as CSV

Hai Zhao 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 Hai Zhao 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, 542–551 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: 545 publications — 95th percentile

95% 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
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 32 545
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

Hai Zhao 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 Hai Zhao 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, 62–63 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: 63 D-Index — 81st percentile

81% 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
56–57 458
58–59 400
60–61 337
62–63 308 63
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

Hai Zhao is affiliated with Shanghai Jiao Tong University in China, contributing extensively to the field of Computer Science. Their research spans primarily Artificial Intelligence, with additional work in Computer Vision and Pattern Recognition, Molecular Biology, Computer Networks and Communications, and Management Science and Operations Research.

Their notable research topics include:

  • Topic Modeling
  • Natural Language Processing Techniques
  • Multimodal Machine Learning Applications
  • Speech and dialogue systems
  • Text Readability and Simplification
  • Speech Recognition and Synthesis
  • Semantic Web and Ontologies

Hai Zhao has a significant number of publications in prominent venues. The most frequent include:

  • arXiv (Cornell University)
  • IEEE/ACM Transactions on Audio Speech and Language Processing
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • ACM Transactions on Asian and Low-Resource Language Information Processing
  • IEEE Transactions on Pattern Analysis and Machine Intelligence

Frequently collaborating with other researchers, Hai Zhao's coauthors include Zhuosheng Zhang, Zuchao Li, Rui Wang, Masao Utiyama, and Xinbei Ma.

Some recent publications authored or co-authored by Hai Zhao are:

  • "Semantics-Aware BERT for Language Understanding," 2020, Proceedings of the AAAI Conference on Artificial Intelligence
  • "Retrospective Reader for Machine Reading Comprehension," 2021, Proceedings of the AAAI Conference on Artificial Intelligence
  • "Topic-Aware Multi-turn Dialogue Modeling," 2021, Proceedings of the AAAI Conference on Artificial Intelligence
  • "Machine Reading Comprehension: The Role of Contextualized Language Models and Beyond," 2020, arXiv (Cornell University)
  • "Text Compression-aided Transformer Encoding," 2021, IEEE Transactions on Pattern Analysis and Machine Intelligence

Best Publications

  • Semantics-Aware BERT for Language Understanding

    Zhuosheng Zhang;Yuwei Wu;Hai Zhao;Zuchao Li

  • An Improved Chinese Word Segmentation System with Conditional Random Field

    Hai Zhao;Chang-Ning Huang;Mu Li

  • Modeling Multi-turn Conversation with Deep Utterance Aggregation

    Zhuosheng Zhang;Jiangtong Li;Pengfei Zhu;Hai Zhao

  • Baichuan 2: Open Large-scale Language Models

    Unknown

  • Retrospective Reader for Machine Reading Comprehension

    Zhuosheng Zhang;Junjie Yang;Hai Zhao

  • Head-Driven Phrase Structure Grammar Parsing on Penn Treebank

    Junru Zhou;Hai Zhao

  • A Multi-Hop Broadcast Protocol for Emergency Message Dissemination in Urban Vehicular Ad Hoc Networks

    Yuanguo Bi;Hangguan Shan;Xuemin Sherman Shen;Ning Wang

  • Microbial community and N removal of aerobic granular sludge at high COD and N loading rates.

    Yonggui Zhao;Jun Huang;Hai Zhao;Hua Yang

  • SG-Net: Syntax-Guided Machine Reading Comprehension

    Zhuosheng Zhang;Yuwei Wu;Junru Zhou;Sufeng Duan

  • Application of simultaneous saccharification and fermentation (SSF) from viscosity reducing of raw sweet potato for bioethanol production at laboratory, pilot and industrial scales

    Liang Zhang;Hai Zhao;Mingzhe Gan;Yanlin Jin

  • Neural Word Segmentation Learning for Chinese

    Deng Cai;Hai Zhao

  • Unsupervised Segmentation Helps Supervised Learning of Character Tagging for Word Segmentation and Named Entity Recognition.

    Hai Zhao;Chunyu Kit

  • A multi-channel token ring protocol for QoS provisioning in inter-vehicle communications

    Yuanguo Bi;Kuang-Hao Liu;L.X. Cai;Xuemin Shen

  • Syntax for Semantic Role Labeling, To Be, Or Not To Be

    Shexia He;Zuchao Li;Hai Zhao;Hongxiao Bai

  • Effective Tag Set Selection in Chinese Word Segmentation via Conditional Random Field Modeling

    Hai Zhao;Changning Huang;Mu Li;Bao-Liang Lu

  • Potential of duckweed in the conversion of wastewater nutrients to valuable biomass: a pilot-scale comparison with water hyacinth.

    Yonggui Zhao;Yang Fang;Yanling Jin;Jun Huang

  • Fast and Accurate Neural Word Segmentation for Chinese

    Deng Cai;Hai Zhao;Zhisong Zhang;Yuan Xin

  • Performance Analysis of IEEE 802.11p DCF for Multiplatooning Communications With Autonomous Vehicles

    Haixia Peng;Dazhou Li;Khadige Abboud;Haibo Zhou

  • Comparative transcriptome analysis to investigate the high starch accumulation of duckweed (Landoltia punctata) under nutrient starvation.

    Xiang Tao;Xiang Tao;Yang Fang;Yao Xiao;Yan-ling Jin

  • Seq2seq Dependency Parsing.

    Zuchao Li;Jiaxun Cai;Shexia He;Hai Zhao

  • Hierarchical Contextualized Representation for Named Entity Recognition

    Ying Luo;Fengshun Xiao;Hai Zhao

  • DCMN+: Dual Co-Matching Network for Multi-Choice Reading Comprehension

    Shuailiang Zhang;Hai Zhao;Yuwei Wu;Zhuosheng Zhang

Frequent Co-Authors

Bao-Liang Lu
Bao-Liang Lu Shanghai Jiao Tong University
Eiichiro Sumita
Eiichiro Sumita National Institute of Information and Communications Technology
Masao Utiyama
Masao Utiyama National Institute of Information and Communications Technology
Xuemin Shen
Xuemin Shen University of Waterloo
Haibo Zhou
Haibo Zhou Nanjing University
Weihua Zhuang
Weihua Zhuang University of Waterloo
Lin Cai
Lin Cai Illinois Institute of Technology
Guodong Zhou
Guodong Zhou Soochow University
Frank K. Soong
Frank K. Soong Microsoft Research Asia (China)
Jun Huang
Jun Huang University of Sydney

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Considering a degree in computer science opens doors to a broad range of career pathways—both in traditional on-campus and online formats. While computer science is a popular online option, you might also explore related fields to discover what can you do with an environmental science major, which includes roles in sustainability, conservation, and resource management.

For motivated students seeking rapid career advancement, a 1 year computer science degree online provides a streamlined path to gain essential tech skills and credentials quickly. Accelerated programs can help you pivot into software development, cybersecurity, or data analysis within just a year.

If your interests combine technology and real-world problem-solving, degrees such as environmental and mechanical engineering are worth considering. There are flexible and most affordable online environmental engineering degree programs available, ideal for those looking to merge engineering skills with environmental stewardship. Likewise, online mechanical engineering degrees offer a practical route into industries like manufacturing, robotics, and automotive design.

Exploring these diverse online degrees not only broadens your academic options but also expands your potential career choices in today’s competitive job market.

Best Scientists Citing Hai Zhao

Trending Scientists

Recently Published Articles