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 53 4781 4647 639 635 464 12591

Daniel Zeng publications per year

The chart shows the history of publications by Daniel Zeng between 1967 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Daniel Zeng published across 59 years, from 1967 to 2025, averaging 11 papers a year. Output peaked at 41 publications in 2025. 68 of the 649 publications appeared in the last two years.

No. of publications
10 20 30 40
Bar chart. Horizontal axis: year, 1967 to 2025. Vertical axis: number of publications, 0 to 41. Peak 41 publications in 2025. 1967: 1 publication 1968: 0 publications 1969: 0 publications 1970: 0 publications 1971: 0 publications 1972: 0 publications 1973: 0 publications 1974: 0 publications 1975: 0 publications 1976: 0 publications 1977: 0 publications 1978: 0 publications 1979: 0 publications 1980: 0 publications 1981: 0 publications 1982: 0 publications 1983: 0 publications 1984: 0 publications 1985: 0 publications 1986: 0 publications 1987: 0 publications 1988: 0 publications 1989: 0 publications 1990: 0 publications 1991: 0 publications 1992: 0 publications 1993: 0 publications 1994: 0 publications 1995: 0 publications 1996: 0 publications 1997: 0 publications 1998: 1 publication 1999: 1 publication 2000: 1 publication 2001: 9 publications 2002: 4 publications 2003: 10 publications 2004: 11 publications 2005: 24 publications 2006: 17 publications 2007: 21 publications 2008: 30 publications 2009: 22 publications 2010: 40 publications 2011: 27 publications 2012: 25 publications 2013: 32 publications 2014: 25 publications 2015: 27 publications 2016: 30 publications 2017: 30 publications 2018: 27 publications 2019: 38 publications 2020: 32 publications 2021: 36 publications 2022: 25 publications 2023: 35 publications 2024: 27 publications 2025: 41 publications
1967 2025

649 publications in total across all disciplines

View publications per year as a table
Daniel Zeng: publications per year, 1967 to 2025
Year Publications
1967 1
1968 0
1969 0
1970 0
1971 0
1972 0
1973 0
1974 0
1975 0
1976 0
1977 0
1978 0
1979 0
1980 0
1981 0
1982 0
1983 0
1984 0
1985 0
1986 0
1987 0
1988 0
1989 0
1990 0
1991 0
1992 0
1993 0
1994 0
1995 0
1996 0
1997 0
1998 1
1999 1
2000 1
2001 9
2002 4
2003 10
2004 11
2005 24
2006 17
2007 21
2008 30
2009 22
2010 40
2011 27
2012 25
2013 32
2014 25
2015 27
2016 30
2017 30
2018 27
2019 38
2020 32
2021 36
2022 25
2023 35
2024 27
2025 41
Total 649
Download as CSV

Daniel Zeng publications per year - data summary

  • Daniel Zeng, a Computer Science scholar from Chinese Academy of Sciences, has 649 publications recorded across 59 years, from 1967 to 2025.
  • The oldest publication on record dates to 1967 and the most recent to 2025.
  • The most productive year is 2025, with 41 publications.
  • The least productive years with any output are 1967, 1998, 1999 and 2000, with 1 publication each.
  • 30 of the 59 years in the span carry no publications at all (1968, 1969, 1970, 1971 and others).
  • The rate of publication averages 11.0 papers per year over the whole span, or 22.4 per year counting only the 29 years with at least one publication.
  • The last 5 years on the chart (2021-2025) hold 164 publications, 25% of the career total.
  • Split into equal eras - 1967-1986: 1 publication (0.1 per year); 1987-2006: 78 publications (3.9 per year); 2007-2025: 570 publications (30.0 per year).
  • Comparing the opening and closing eras, the overall trend of publication is rising.

Daniel Zeng 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 Daniel Zeng 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, 462–471 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: 464 publications — 91st percentile

91% 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 77 464
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

Daniel Zeng 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.
  • Daniel Zeng, a Computer Science scholar from Chinese Academy of Sciences, records 464 publications - the 91st percentile of the discipline.
  • 91% of ranked Computer Science scientists score the same or lower than Daniel Zeng, and about 9% score higher.
  • The median of the discipline falls in the 202–211 publications range, and Daniel Zeng ranks above 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).

Daniel Zeng 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 Daniel Zeng 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, 52–53 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: 53 D-Index — 67th percentile

67% 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 53
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

Daniel Zeng 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.
  • Daniel Zeng, a Computer Science scholar from Chinese Academy of Sciences, records 53 D-Index - the 67th percentile of the discipline.
  • 67% of ranked Computer Science scientists score the same or lower than Daniel Zeng, and about 33% score higher.
  • The median of the discipline falls in the 44–45 D-Index range, and Daniel Zeng 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

Daniel Zeng is a researcher affiliated with the Chinese Academy of Sciences in China, with a focus on computer science. Their work spans various subfields including artificial intelligence, modeling and simulation, statistical and nonlinear physics, economics and econometrics, and computer vision and pattern recognition.

Their research covers a range of topics, notably:

  • Topic Modeling
  • COVID-19 epidemiological studies
  • Advanced Graph Neural Networks
  • Complex Network Analysis Techniques
  • Sentiment Analysis and Opinion Mining
  • Advanced Text Analysis Techniques
  • COVID-19 Pandemic Impacts

Zeng's publication record includes contributions to various well-known venues such as arXiv (Cornell University), IEEE Intelligent Systems, bioRxiv (Cold Spring Harbor Laboratory), IEEE Transactions on Computational Social Systems, and the INFORMS Journal on Computing.

Among recent papers, the following works are notable:

  • Estimating the effective reproduction number of the 2019-nCoV in China, 2020, bioRxiv (Cold Spring Harbor Laboratory)
  • Equitable access to COVID-19 vaccines makes a life-saving difference to all countries, 2022, Nature Human Behaviour
  • Fusion of heterogeneous attention mechanisms in multi-view convolutional neural network for text classification, 2020, Information Sciences
  • A hybrid machine learning framework for analyzing human decision-making through learning preferences, 2020, Omega
  • Effect of heterogeneous risk perception on information diffusion, behavior change, and disease transmission, 2020, Physical Review E

Frequent coauthors working with Zeng include Qingpeng Zhang, Zhidong Cao, Linjing Li, Xiaolong Zheng, and Qiudan Li.

Best Publications

  • Applying associative retrieval techniques to alleviate the sparsity problem in collaborative filtering

    Zan Huang;Hsinchun Chen;Daniel Zeng

  • Social Computing: From Social Informatics to Social Intelligence

    Fei-Yue Wang;Daniel Zeng;K.M. Carley;W. Mao

  • Social Media Analytics and Intelligence

    Daniel Zeng;Hsinchun Chen;R Lusch;Shu-Hsing Li

  • A Comparison of Collaborative-Filtering Recommendation Algorithms for E-commerce

    Zan Huang;D. Zeng;Hsinchun Chen

  • COPLINK: managing law enforcement data and knowledge

    Hsinchun Chen;Daniel Zeng;Homa Atabakhsh;Wojciech Wyzga

  • Sentiment analysis of Chinese documents: From sentence to document level

    Changli Zhang;Daniel Zeng;Jiexun Li;Fei-Yue Wang

  • A comparison of collaborative-filtering algorithms for ecommerce

    Zan Huang;Daniel Zeng;Hsinchun Chen

  • Sentiment analysis of Chinese documents: From sentence to document level

    Unknown

  • CI Spider: a tool for competitive intelligence on the web

    Hsinchun Chen;Michael Chau;Daniel Zeng

  • The State-of-the-Art in Twitter Sentiment Analysis: A Review and Benchmark Evaluation

    David Zimbra;Ahmed Abbasi;Daniel Zeng;Hsinchun Chen

  • Analyzing Consumer-Product Graphs: Empirical Findings and Applications in Recommender Systems

    Zan Huang;Daniel D. Zeng;Hsinchun Chen

  • Twitter Sentiment Analysis: A Bootstrap Ensemble Framework

    Ammar Hassan;Ahmed Abbasi;Daniel Zeng

  • Smart Cars on Smart Roads: An IEEE Intelligent Transportation Systems Society Update

    Fei-Yue Wang;Daniel Zeng;Liuqing Yang

  • Design and evaluation of a multi-agent collaborative Web mining system

    Michael Chau;Daniel Zeng;Hsinchun Chen;Michael Huang

  • A Study of the Human Flesh Search Engine: Crowd-Powered Expansion of Online Knowledge

    Fei-Yue Wang;Daniel Zeng;James A Hendler;Qingpeng Zhang

  • A survey on big data-driven digital phenotyping of mental health

    Yunji Liang;Xiaolong Zheng;Daniel Dajun Zeng;Daniel Dajun Zeng

  • Intelligence and security informatics for homeland security: information, communication, and transportation

    H. Chen;Fei-Yue Wang;D. Zeng

  • MetaSpider: Meta-Searching and Categorization on the Web

    Hsinchun Chen;Haiyan Fan;Michael Chau;Daniel Dajun Zeng

  • Social balance in signed networks

    Xiaolong Zheng;Daniel Zeng;Fei-Yue Wang

  • Personalized spiders for web search and analysis

    Michael Chau;Daniel Zeng;Hinchun Chen

  • Analyzing open-source software systems as complex networks

    Xiaolong Zheng;Daniel Zeng;Daniel Zeng;Huiqian Li;Feiyue Wang;Feiyue Wang

  • Multimodal Data Enhanced Representation Learning for Knowledge Graphs

    Zikang Wang;Linjing Li;Qiudan Li;Daniel Zeng

Frequent Co-Authors

Hsinchun Chen
Hsinchun Chen University of Arizona
Fei-Yue Wang
Fei-Yue Wang Chinese Academy of Sciences
Huimin Zhao
Huimin Zhao University of Illinois at Urbana-Champaign
Michael Chau
Michael Chau University of Hong Kong
Lei Wang
Lei Wang University of Wollongong
Ahmed Abbasi
Ahmed Abbasi University of Notre Dame
Mark C. Thurmond
Mark C. Thurmond University of California, Davis
Christopher C. Yang
Christopher C. Yang Drexel University
Paul Jen-Hwa Hu
Paul Jen-Hwa Hu University of Utah
Kathleen M. Carley
Kathleen M. Carley Carnegie Mellon University

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

Pursuing online associates degrees in Computer Science is an excellent entry point for students looking to start their tech careers quickly. These programs are usually more flexible and can help you build foundational skills while balancing work or family responsibilities.

For those concerned about costs, there are many affordable online colleges offering Computer Science degrees. These institutions provide quality education at a reduced price, allowing you to minimize student debt and focus more on your studies.

If you’re worried your academic record isn’t perfect, seek out the will grad schools accept low gpa guidelines. Many online programs have more flexible admission requirements and offer support to help you move forward with your educational goals.

A Computer Science education unlocks diverse job opportunities, similar to asking, what can i do with an environmental science degree. You can explore roles in software development, cybersecurity, data analysis, or even further studies in specialized areas. There’s a pathway for almost every interest and career vision.

Best Scientists Citing Daniel Zeng

Trending Scientists

Recently Published Articles