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 88 696 675 104 102 368 23829

Quan Zou publications per year

The chart shows the history of publications by Quan Zou between 2007 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Quan Zou published across 19 years, from 2007 to 2025, averaging 36.2 papers a year. Output peaked at 119 publications in 2024. 223 of the 688 publications appeared in the last two years.

No. of publications
25 50 75 100
Bar chart. Horizontal axis: year, 2007 to 2025. Vertical axis: number of publications, 0 to 119. Peak 119 publications in 2024. 2007: 2 publications 2008: 3 publications 2009: 2 publications 2010: 8 publications 2011: 11 publications 2012: 17 publications 2013: 9 publications 2014: 22 publications 2015: 17 publications 2016: 27 publications 2017: 35 publications 2018: 21 publications 2019: 44 publications 2020: 46 publications 2021: 71 publications 2022: 61 publications 2023: 69 publications 2024: 119 publications 2025: 104 publications
2007 2025

688 publications in total across all disciplines

View publications per year as a table
Quan Zou: publications per year, 2007 to 2025
Year Publications
2007 2
2008 3
2009 2
2010 8
2011 11
2012 17
2013 9
2014 22
2015 17
2016 27
2017 35
2018 21
2019 44
2020 46
2021 71
2022 61
2023 69
2024 119
2025 104
Total 688
Download as CSV

Quan Zou 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 Quan Zou 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, 362–371 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: 368 publications — 84th percentile

84% 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
362–371 176 368
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

Quan Zou 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 Quan Zou 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, 88–89 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: 88 D-Index — 95th percentile

95% 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
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 88
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

Research.com Recognitions

  • 2015 - ACM Senior Member

Overview

Quan Zou is affiliated with the University of Electronic Science and Technology of China. Their research primarily focuses on the broad field of Biochemistry, Genetics and Molecular Biology, with specialized work in Molecular Biology, Cancer Research, Computational Theory and Mathematics, Artificial Intelligence, and Microbiology.

The scientist's publication record includes numerous articles in prominent journals, with a strong presence in venues such as Briefings in Bioinformatics, Bioinformatics, BMC Biology, PLoS Computational Biology, and the IEEE Journal of Biomedical and Health Informatics.

Quan Zou's most recent papers include the following:

  • "webTWAS: a resource for disease candidate susceptibility genes identified by transcriptome-wide association study," 2021, Nucleic Acids Research
  • "Distance-based Support Vector Machine to Predict DNA N6-methyladenine Modification," 2022, Current Bioinformatics
  • "SBSM-Pro: support bio-sequence machine for proteins," 2024, Science China Information Sciences
  • "DeepBIO: an automated and interpretable deep-learning platform for high-throughput biological sequence prediction, functional annotation and visualization analysis," 2023, Nucleic Acids Research
  • "Molecular design in drug discovery: a comprehensive review of deep generative models," 2021, Briefings in Bioinformatics

Frequent coauthors in their collaborative network include Feifei Cui, Yijie Ding, Leyi Wei, Zilong Zhang, and Fei Guo.

The main topics Quan Zou works on comprise:

  • Machine Learning in Bioinformatics
  • RNA and protein synthesis mechanisms
  • Genomics and Phylogenetic Studies
  • Computational Drug Discovery Methods
  • Bioinformatics and Genomic Networks
  • Single-cell and spatial transcriptomics
  • Cancer-related molecular mechanisms research

They have been recognized with the ACM Senior Member award since 2015.

Best Publications

  • Predicting Diabetes Mellitus With Machine Learning Techniques

    Unknown

  • Biological functions of microRNAs: a review

    Yong Huang;Xing Jia Shen;Quan Zou;Sheng Peng Wang

  • Gene2vec: gene subsequence embedding for prediction of mammalian N6-methyladenosine sites from mRNA.

    Quan Zou;Quan Zou;Pengwei Xing;Leyi Wei;Bin Liu

  • A novel features ranking metric with application to scalable visual and bioinformatics data classification

    Quan Zou;Jiancang Zeng;Liujuan Cao;Rongrong Ji

  • A comprehensive overview and evaluation of circular RNA detection tools.

    Xiangxiang Zeng;Wei Lin;Maozu Guo;Quan Zou

  • webTWAS: a resource for disease candidate susceptibility genes identified by transcriptome-wide association study.

    Chen Cao;Jianhua Wang;Devin Kwok;Feifei Cui

  • Integrative approaches for predicting microRNA function and prioritizing disease-related microRNA using biological interaction networks

    Xiangxiang Zeng;Xuan Zhang;Quan Zou

  • Tumor origin detection with tissue-specific miRNA and DNA methylation markers.

    Wei Tang;Shixiang Wan;Zhen Yang;Andrew E Teschendorff;Andrew E Teschendorff

  • Inferring MicroRNA-Disease Associations by Random Walk on a Heterogeneous Network with Multiple Data Sources

    Yuansheng Liu;Xiangxiang Zeng;Zengyou He;Quan Zou

  • Finding the Best Classification Threshold in Imbalanced Classification

    Quan Zou;Quan Zou;Sifa Xie;Ziyu Lin;Meihong Wu

  • LibD3C: Ensemble classifiers with a clustering and dynamic selection strategy

    Chen Lin;Wenqiang Chen;Cheng Qiu;Yunfeng Wu

  • Similarity computation strategies in the microRNA-disease network: a survey

    Quan Zou;Jinjin Li;Li Song;Xiangxiang Zeng

  • Local-DPP: An improved DNA-binding protein prediction method by exploring local evolutionary information

    Leyi Wei;Jijun Tang;Jijun Tang;Quan Zou

  • Improved and promising identification of human MicroRNAs by incorporating a high-quality negative set

    Leyi Wei;Minghong Liao;Yue Gao;Rongrong Ji

  • Prediction of potential disease-associated microRNAs using structural perturbation method.

    Xiangxiang Zeng;Li Liu;Linyuan Lü;Quan Zou

  • Survey of MapReduce frame operation in bioinformatics

    Quan Zou;Xu-Bin Li;Wen-Rui Jiang;Zi-Yu Lin

  • Prediction of human protein subcellular localization using deep learning

    Leyi Wei;Leyi Wei;Yijie Ding;Ran Su;Ran Su;Jijun Tang

  • Deep-Resp-Forest: A deep forest model to predict anti-cancer drug response

    Ran Su;Xinyi Liu;Leyi Wei;Quan Zou

  • Sequence clustering in bioinformatics: an empirical study.

    Quan Zou;Quan Zou;Gang Lin;Xingpeng Jiang;Xiangrong Liu

  • Prediction and Validation of Disease Genes Using HeteSim Scores

    Xiangxiang Zeng;Yuanlu Liao;Yuansheng Liu;Quan Zou

  • Fast Prediction of Protein Methylation Sites Using a Sequence-Based Feature Selection Technique

    Leyi Wei;Pengwei Xing;Gaotao Shi;Zhiliang Ji

Frequent Co-Authors

Xiangxiang Zeng
Xiangxiang Zeng Hunan University
Leyi Wei
Leyi Wei Shandong University
Maozu Guo
Maozu Guo Beijing University of Civil Engineering and Architecture
Jijun Tang
Jijun Tang University of South Carolina
Ran Su
Ran Su Tianjin University
Qinghua Hu
Qinghua Hu Tianjin University
Xiangke Liao
Xiangke Liao National University of Defense Technology
Rongrong Ji
Rongrong Ji Xiamen University
Xiaolong Wang
Xiaolong Wang University of California, San Diego
Qin Ma
Qin Ma The Ohio State 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

Exploring computer science in the USA can open doors to a wide range of online degree options and career paths in technology and engineering. Many universities now offer flexible, affordable online programs that make it easier to start building your expertise and credentials without relocating or pausing your career.

You may want to consider an online degree for mechanical engineering if you are curious about how software and hardware interact in real-world systems. Alternatively, a bachelor of science in physics online provides strong analytical and problem-solving skills that are valuable in computer science and tech fields.

For those focused on data analytics or artificial intelligence, a data scientist degree can lead to high-demand roles across industries. If your interests are aligned with circuits, power systems, or robotics, evaluating the online electrical engineering career outcomes may help clarify your next steps.

Best Scientists Citing Quan Zou

Trending Scientists

Recently Published Articles