World's Best Scientists 2026 revealed!
Q. M. Jonathan Wu

Q. M. Jonathan Wu

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Computer Science 64 2644 2564 98 91 378 13632

Q. M. Jonathan Wu publications per year

The chart shows the history of publications by Q. M. Jonathan Wu between 1999 and 2026, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Q. M. Jonathan Wu published across 28 years, from 1999 to 2026, averaging 21.8 papers a year. Output peaked at 133 publications in 2025. 139 of the 611 publications appeared in the last two years.

No. of publications
25 50 75 100 125
Bar chart. Horizontal axis: year, 1999 to 2026. Vertical axis: number of publications, 0 to 133. Peak 133 publications in 2025. 1999: 1 publication 2000: 1 publication 2001: 0 publications 2002: 0 publications 2003: 1 publication 2004: 1 publication 2005: 1 publication 2006: 2 publications 2007: 7 publications 2008: 14 publications 2009: 25 publications 2010: 33 publications 2011: 27 publications 2012: 25 publications 2013: 35 publications 2014: 20 publications 2015: 22 publications 2016: 23 publications 2017: 21 publications 2018: 18 publications 2019: 29 publications 2020: 33 publications 2021: 41 publications 2022: 27 publications 2023: 23 publications 2024: 42 publications 2025: 133 publications 2026: 6 publications
1999 2026

611 publications in total across all disciplines

View publications per year as a table
Q. M. Jonathan Wu: publications per year, 1999 to 2026
Year Publications
1999 1
2000 1
2001 0
2002 0
2003 1
2004 1
2005 1
2006 2
2007 7
2008 14
2009 25
2010 33
2011 27
2012 25
2013 35
2014 20
2015 22
2016 23
2017 21
2018 18
2019 29
2020 33
2021 41
2022 27
2023 23
2024 42
2025 133
2026 6
Total 611
Download as CSV

Q. M. Jonathan Wu 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 Q. M. Jonathan Wu 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, 372–381 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: 378 publications — 85th percentile

85% 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
372–381 127 378
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

Q. M. Jonathan Wu 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 Q. M. Jonathan Wu 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, 64–65 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: 64 D-Index — 82nd percentile

82% 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 64
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

Q. M. Jonathan Wu is affiliated with the University of Windsor in Canada. Their research spans several areas within computer science and engineering, focusing extensively on computer vision, pattern recognition, and artificial intelligence.

The scientist has contributed to multiple papers published in well-known venues. Some of the recent publications include:

  • A Review of Generalized Zero-Shot Learning Methods, 2022, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Underwater Image Co-Enhancement With Correlation Feature Matching and Joint Learning, 2021, IEEE Transactions on Circuits and Systems for Video Technology
  • CASNet: A Cross-Attention Siamese Network for Video Salient Object Detection, 2020, IEEE Transactions on Neural Networks and Learning Systems
  • Blockchain-based decentralized reputation system in E-commerce environment, 2021, Future Generation Computer Systems
  • Secret-to-Image Reversible Transformation for Generative Steganography, 2022, IEEE Transactions on Dependable and Secure Computing

Their work often involves collaboration with recurring co-authors, including:

  • Yimin Yang
  • Zhenxue Chen
  • Zhili Zhou
  • Wandong Zhang
  • Hui Zhang

Q. M. Jonathan Wu's frequent publication venues include:

  • arXiv (Cornell University)
  • SSRN Electronic Journal
  • Neurocomputing
  • IEEE Transactions on Cybernetics
  • IEEE Transactions on Circuits and Systems for Video Technology

The main research fields covered by this scientist are:

  • Computer Science
  • Engineering

Within these broad fields, their work touches on multiple subfields:

  • Computer Vision and Pattern Recognition
  • Artificial Intelligence
  • Aerospace Engineering
  • Electrical and Electronic Engineering
  • Signal Processing

The main topics reflected in their research publications include:

  • Advanced Neural Network Applications
  • Advanced Image and Video Retrieval Techniques
  • Domain Adaptation and Few-Shot Learning
  • Machine Learning and ELM
  • Digital Media Forensic Detection
  • Advanced Steganography and Watermarking Techniques
  • Image Retrieval and Classification Techniques

Best Publications

  • Directive Contrast Based Multimodal Medical Image Fusion in NSCT Domain

    Gaurav Bhatnagar;Q. M. Jonathan Wu;Zheng Liu

  • Image segmentation by generalized hierarchical fuzzy C-means algorithm

    Yuhui Zheng;Byeungwoo Jeon;Danhua Xu;Q.M. Jonathan Wu

  • Effective and Efficient Global Context Verification for Image Copy Detection

    Zhili Zhou;Yunlong Wang;Q. M. Jonathan Wu;Ching-Nung Yang

  • Human face recognition based on multidimensional PCA and extreme learning machine

    A. A. Mohammed;R. Minhas;Q. M. Jonathan Wu;M. A. Sid-Ahmed

  • Local Mesh Patterns Versus Local Binary Patterns: Biomedical Image Indexing and Retrieval

    Subrahmanyam Murala;Q. M. Jonathan Wu

  • Local ternary co-occurrence patterns: A new feature descriptor for MRI and CT image retrieval

    Subrahmanyam Murala;Q. M. Jonathan Wu

  • Fast and Robust Spatially Constrained Gaussian Mixture Model for Image Segmentation

    Thanh Minh Nguyen;Q. M. Jonathan Wu

  • A new contrast based multimodal medical image fusion framework

    Gaurav Bhatnagar;Q.M. Jonathan Wu;Zheng Liu

  • Coverless image steganography using partial-duplicate image retrieval

    Zhili Zhou;Yan Mu;Q. M. Jonathan Wu

  • Multilevel Framework to Detect and Handle Vehicle Occlusion

    Wei Zhang;Q.M.J. Wu;Xiaokang Yang;Xiangzhong Fang

  • Automatic Visual Detection System of Railway Surface Defects With Curvature Filter and Improved Gaussian Mixture Model

    Hui Zhang;Xiating Jin;Q. M. Jonathan Wu;Yaonan Wang

  • Affine Legendre Moment Invariants for Image Watermarking Robust to Geometric Distortions

    Hui Zhang;Huazhong Shu;G. Coatrieux;Jie Zhu

  • Human action recognition using extreme learning machine based on visual vocabularies

    Rashid Minhas;Aryaz Baradarani;Sepideh Seifzadeh;Q. M. Jonathan Wu

  • Curvelet based face recognition via dimension reduction

    Tanaya Mandal;Q. M. Jonathan Wu;Yuan Yuan

  • A survey of local feature methods for 3D face recognition

    Sima Soltanpour;Boubakeur Boufama;Q.M. Jonathan Wu

  • Low-resolution face recognition: a review

    Zhifei Wang;Zhenjiang Miao;Q. M. Jonathan Wu;Yanli Wan

  • Discrete fractional wavelet transform and its application to multiple encryption

    Gaurav Bhatnagar;Q.M. Jonathan Wu;Balasubramanian Raman

  • Underwater Image Co-Enhancement with Correlation Feature Matching and Joint Learning

    Qi Qi;Yongchang Zhang;Fei Tian;Q. M. Jonathan Wu

  • Human visual system inspired multi-modal medical image fusion framework

    Gaurav Bhatnagar;Q. M. Jonathan Wu;Zheng Liu

  • Moving Cast Shadows Detection Using Ratio Edge

    Wei Zhang;Xiang Zhong Fang;X.K. Yang;Q.M.J. Wu

  • Effective and Efficient Image Copy Detection with Resistance to Arbitrary Rotation

    Zhili Zhou;Ching-Nung Yang;Beijing Chen;Xingming Sun

  • Investigating the Performance of Naive- Bayes Classifiers and K- Nearest Neighbor Classifiers

    Mohammed J. Islam;Q. M. Jonathan Wu;Majid Ahmadi;Maher A. Sid-Ahmed

Frequent Co-Authors

Xingming Sun
Xingming Sun Nanjing University of Information Science and Technology
Yaonan Wang
Yaonan Wang Hunan University
Subrahmanyam Murala
Subrahmanyam Murala Indian Institute of Technology Ropar
Balasubramanian Raman
Balasubramanian Raman Indian Institute of Technology Roorkee
Mehrdad Saif
Mehrdad Saif University of Windsor
Tommy W. S. Chow
Tommy W. S. Chow City University of Hong Kong
Ching-Nung Yang
Ching-Nung Yang National Dong Hwa University
Bao-Liang Lu
Bao-Liang Lu Shanghai Jiao Tong University
Zheng Liu
Zheng Liu University of British Columbia
Majid Ahmadi
Majid Ahmadi University of Windsor

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 can open up a variety of pathways beyond traditional computer science degrees. For students seeking to enter the workforce quickly, choosing an accelerated cs degree program offers a faster route to graduation and the start of your career. These programs are designed for motivated learners interested in intensive, fast-paced studies.

If you’re concerned about cost, there are several budget-friendly options available. For example, pursuing the cheapest online environmental science degree or considering mechanical engineering cost of education can help students manage their educational expenses while expanding career options in engineering.

Additionally, a bachelor of science in physics online can be an excellent choice for those interested in analytical problem-solving and research. With so many affordable, flexible online degree programs in STEM fields, students now have more opportunities than ever to customize their education and launch a rewarding career in technology, engineering, or science.

Best Scientists Citing Q. M. Jonathan Wu

Trending Scientists

Recently Published Articles