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 50 5546 5391 168 167 249 12249

Jun Zhou publications per year

The chart shows the history of publications by Jun Zhou between 1992 and 2026, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Jun Zhou published across 35 years, from 1992 to 2026, averaging 21.7 papers a year. Output peaked at 204 publications in 2023. 88 of the 758 publications appeared in the last two years.

No. of publications
50 100 150 200
Bar chart. Horizontal axis: year, 1992 to 2026. Vertical axis: number of publications, 0 to 204. Peak 204 publications in 2023. 1992: 1 publication 1993: 0 publications 1994: 0 publications 1995: 1 publication 1996: 1 publication 1997: 2 publications 1998: 0 publications 1999: 0 publications 2000: 0 publications 2001: 2 publications 2002: 0 publications 2003: 1 publication 2004: 1 publication 2005: 2 publications 2006: 4 publications 2007: 2 publications 2008: 5 publications 2009: 5 publications 2010: 8 publications 2011: 12 publications 2012: 4 publications 2013: 19 publications 2014: 12 publications 2015: 15 publications 2016: 20 publications 2017: 20 publications 2018: 35 publications 2019: 34 publications 2020: 27 publications 2021: 30 publications 2022: 119 publications 2023: 204 publications 2024: 84 publications 2025: 87 publications 2026: 1 publication
1992 2026

758 publications in total across all disciplines

View publications per year as a table
Jun Zhou: publications per year, 1992 to 2026
Year Publications
1992 1
1993 0
1994 0
1995 1
1996 1
1997 2
1998 0
1999 0
2000 0
2001 2
2002 0
2003 1
2004 1
2005 2
2006 4
2007 2
2008 5
2009 5
2010 8
2011 12
2012 4
2013 19
2014 12
2015 15
2016 20
2017 20
2018 35
2019 34
2020 27
2021 30
2022 119
2023 204
2024 84
2025 87
2026 1
Total 758
Download as CSV

Jun Zhou 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 Jun Zhou 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: 249 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
242–251 408 249
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

Jun Zhou 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 Jun Zhou 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, 50–51 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: 50 D-Index — 62nd percentile

62% 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 50
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

Jun Zhou is affiliated with Griffith University in Australia and has contributed extensively to the field of computer science, with a primary focus on artificial intelligence and related subfields. Their research portfolio includes work in areas such as advanced graph neural networks, topic modeling, recommender systems, privacy-preserving technologies in data, domain adaptation and few-shot learning, graph theory and algorithms, and adversarial robustness in machine learning.

Their main fields of study document 317 publications in computer science, with 198 specifically in artificial intelligence. Other significant subfields include computer vision and pattern recognition (51 publications), information systems (43 publications), management science and operations research (12 publications), and molecular biology (11 publications).

Jun Zhou has been frequently published in several academic venues. Their most prominent publication outlets are:

  • arXiv (Cornell University) with 72 publications
  • Proceedings of the AAAI Conference on Artificial Intelligence with 6 publications
  • IEEE Transactions on Knowledge and Data Engineering with 5 publications
  • Proceedings of the 31st ACM International Conference on Information & Knowledge Management with 4 publications
  • Proceedings of the VLDB Endowment with 3 publications

Some of their recent papers include:

  • "EATN: An Efficient Adaptive Transfer Network for Aspect-level Sentiment Analysis" (2021), published in IEEE Transactions on Knowledge and Data Engineering
  • "AGL" (2020), published in Proceedings of the VLDB Endowment
  • "ASFGNN: Automated separated-federated graph neural network" (2021), published in Peer-to-Peer Networking and Applications
  • "Rapid Target Detection of Fruit Trees Using UAV Imaging and Improved Light YOLOv4 Algorithm" (2022), published in Remote Sensing
  • "AGL: a Scalable System for Industrial-purpose Graph Machine Learning" (2020), published in arXiv (Cornell University)

Frequent collaborators of Jun Zhou include Zhiqiang Zhang, Chaochao Chen, Longfei Li, and Xiaolu Zhang. These co-authors have worked with Zhou on multiple projects and publications, indicating ongoing research partnerships.

Best Publications

  • Hyperspectral Unmixing via $L_{1/2}$ Sparsity-Constrained Nonnegative Matrix Factorization

    Yuntao Qian;Sen Jia;Jun Zhou;A. Robles-Kelly

  • Hyperspectral Image Classification Based on Structured Sparse Logistic Regression and Three-Dimensional Wavelet Texture Features

    Yuntao Qian;Minchao Ye;Jun Zhou

  • MILIS: Multiple Instance Learning with Instance Selection

    Zhouyu Fu;A Robles-Kelly;Jun Zhou

  • Beyond Triplet Loss: Person Re-identification with Fine-grained Difference-aware Pairwise Loss

    Cheng Yan;Guansong Pang;Xiao Bai;Changhong Liu

  • Matrix-Vector Nonnegative Tensor Factorization for Blind Unmixing of Hyperspectral Imagery

    Yuntao Qian;Fengchao Xiong;Shan Zeng;Jun Zhou

  • Multiscale Visual Attention Networks for Object Detection in VHR Remote Sensing Images

    Chen Wang;Xiao Bai;Shuai Wang;Jun Zhou

  • Material Based Object Tracking in Hyperspectral Videos

    Fengchao Xiong;Jun Zhou;Yuntao Qian

  • On the Sampling Strategy for Evaluation of Spectral-Spatial Methods in Hyperspectral Image Classification

    Jie Liang;Jun Zhou;Yuntao Qian;Lian Wen

  • Multitask Sparse Nonnegative Matrix Factorization for Joint Spectral–Spatial Hyperspectral Imagery Denoising

    Minchao Ye;Yuntao Qian;Jun Zhou

  • Goal-Oriented Gaze Estimation for Zero-Shot Learning

    Yang Liu;Lei Zhou;Xiao Bai;Yifei Huang

  • Progressive Transfer Learning and Adversarial Domain Adaptation for Cross-Domain Skin Disease Classification

    Yanyang Gu;Zongyuan Ge;C. Paul Bonnington;Jun Zhou

  • VHR Object Detection Based on Structural Feature Extraction and Query Expansion

    Xiao Bai;Huigang Zhang;Jun Zhou

  • Dictionary Learning-Based Feature-Level Domain Adaptation for Cross-Scene Hyperspectral Image Classification

    Minchao Ye;Yuntao Qian;Jun Zhou;Yuan Yan Tang

  • Road tracking in aerial images based on human–computer interaction and Bayesian filtering

    Jun Zhou;Walter F. Bischof;Terry Caelli

  • Use of SIMD Vector Operations to Accelerate Application Code Performance on Low-Powered ARM and Intel Platforms

    Gaurav Mitra;Beau Johnston;Alistair P. Rendell;Eric McCreath

  • Hyperspectral Anomaly Detection via Deep Plug-and-Play Denoising CNN Regularization

    Xiyou Fu;Sen Jia;Lina Zhuang;Meng Xu

  • Mixing Linear SVMs for Nonlinear Classification

    Zhouyu Fu;A Robles-Kelly;Jun Zhou

  • Hyperspectral Unmixing via Total Variation Regularized Nonnegative Tensor Factorization

    Fengchao Xiong;Yuntao Qian;Jun Zhou;Yuan Yan Tang

  • Monitoring agricultural drought in Australia using MTSAT-2 land surface temperature retrievals

    Tian Hu;Tian Hu;Tian Hu;Luigi J. Renzullo;Albert I.J.M. van Dijk;Jie He

  • Adaptive hash retrieval with kernel based similarity

    Xiao Bai;Cheng Yan;Haichuan Yang;Lu Bai

  • Hyperspectral Unmixing via L 1/2 Sparsity-Constrained Nonnegative

    Yuntao Qian;Sen Jia;Jun Zhou;Antonio Robles-Kelly

Frequent Co-Authors

Yuntao Qian
Yuntao Qian Zhejiang University
Xiuping Jia
Xiuping Jia University of New South Wales
Edwin R. Hancock
Edwin R. Hancock University of York
Sen Jia
Sen Jia Shenzhen University
Zhihong Xu
Zhihong Xu Griffith University
Alan Wee-Chung Liew
Alan Wee-Chung Liew Griffith University
Walter F. Bischof
Walter F. Bischof University of British Columbia
Luigi Renzullo
Luigi Renzullo Commonwealth Scientific and Industrial Research Organisation
Terry Caelli
Terry Caelli Deakin University
Albert van Dijk
Albert van Dijk Australian National 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 online education provides flexible and affordable pathways into computer science careers. For those seeking a fast track, 2 year online degrees offer a quick route to entry-level roles, letting you start your career without committing to a four-year program.

Cost is a key consideration for many students. Fortunately, many of the cheapest online colleges offer high-quality programs in computer science and related fields, helping students reduce debt and maximize their return on investment.

Admissions policies often prompt questions for students with less-than-perfect academic records. If you’re wondering "will grad schools accept low gpa," there are online colleges with flexible requirements, opening doors to continued education in computer science even if your undergraduate GPA isn’t ideal.

Interested in broader opportunities? If you're passionate about sustainability, you might ask, "what can I do with an environmental science degree." There’s significant overlap between computer science and environmental science, from data analysis to developing eco-friendly tech solutions, making interdisciplinary pathways especially valuable.

Best Scientists Citing Jun Zhou

Trending Scientists

Recently Published Articles