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Ruiping Wang

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Computer Science 37 10520 10223 1295 1289 115 8694

Ruiping Wang publications per year

The chart shows the history of publications by Ruiping Wang between 1995 and 2026, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Ruiping Wang published across 32 years, from 1995 to 2026, averaging 4.7 papers a year. Output peaked at 18 publications in 2025. 19 of the 151 publications appeared in the last two years.

No. of publications
5 10 15
Bar chart. Horizontal axis: year, 1995 to 2026. Vertical axis: number of publications, 0 to 18. Peak 18 publications in 2025. 1995: 1 publication 1996: 0 publications 1997: 0 publications 1998: 0 publications 1999: 0 publications 2000: 0 publications 2001: 0 publications 2002: 0 publications 2003: 0 publications 2004: 0 publications 2005: 2 publications 2006: 2 publications 2007: 2 publications 2008: 1 publication 2009: 3 publications 2010: 0 publications 2011: 2 publications 2012: 4 publications 2013: 3 publications 2014: 9 publications 2015: 12 publications 2016: 8 publications 2017: 6 publications 2018: 10 publications 2019: 12 publications 2020: 8 publications 2021: 15 publications 2022: 6 publications 2023: 9 publications 2024: 17 publications 2025: 18 publications 2026: 1 publication
1995 2026

151 publications in total across all disciplines

View publications per year as a table
Ruiping Wang: publications per year, 1995 to 2026
Year Publications
1995 1
1996 0
1997 0
1998 0
1999 0
2000 0
2001 0
2002 0
2003 0
2004 0
2005 2
2006 2
2007 2
2008 1
2009 3
2010 0
2011 2
2012 4
2013 3
2014 9
2015 12
2016 8
2017 6
2018 10
2019 12
2020 8
2021 15
2022 6
2023 9
2024 17
2025 18
2026 1
Total 151
Download as CSV

Ruiping Wang 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 Ruiping Wang 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, 112–121 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: 115 publications — 13th percentile

13% 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
112–121 497 115
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
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

Ruiping Wang 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 Ruiping Wang 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, 36–37 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: 37 D-Index — 27th percentile

27% 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 37
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
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

Ruiping Wang is a researcher affiliated with the Chinese Academy of Sciences in China, with a primary focus on computer science and related subfields. Their body of work includes significant contributions to computer vision, pattern recognition, and artificial intelligence. The scientist's research spans various domains, including advanced neural network applications and domain adaptation, emphasizing multimodal machine learning applications and advanced image and video retrieval techniques.

They have published more than 100 papers, with 66 in computer vision and pattern recognition and 34 related to artificial intelligence. Additional subfields include computational mechanics, polymers and plastics, and media technology. Major topics covered in their research include:

  • Multimodal Machine Learning Applications
  • Domain Adaptation and Few-Shot Learning
  • Advanced Image and Video Retrieval Techniques
  • Advanced Neural Network Applications
  • Topic Modeling
  • Human Pose and Action Recognition
  • 3D Shape Modeling and Analysis

Ruiping Wang has collaborated frequently with a number of co-authors, reflecting a broad network within the field. These co-authors include Xilin Chen, Shiguang Shan, Miaojun Xu, Xian Sun, and Peijin Wang.

The scientist's recent publication record features works in notable venues, predominantly:

  • arXiv (Cornell University)
  • Pattern Recognition
  • Pattern Recognition Letters
  • SSRN Electronic Journal
  • 2021 IEEE/CVF International Conference on Computer Vision (ICCV)

Selected recent publications exemplify the scope of their research interests and outputs:

  • FAIR1M: A benchmark dataset for fine-grained object recognition in high-resolution remote sensing imagery, 2022, ISPRS Journal of Photogrammetry and Remote Sensing
  • RingMo: A Remote Sensing Foundation Model With Masked Image Modeling, 2022, IEEE Transactions on Geoscience and Remote Sensing
  • Revealing influencing factors on global waste distribution via deep-learning based dumpsite detection from satellite imagery, 2023, Nature Communications
  • SEGA: Semantic Guided Attention on Visual Prototype for Few-Shot Learning, 2022, 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
  • CVPR 2020 continual learning in computer vision competition: Approaches, results, current challenges and future directions, 2022, CINECA IRIS Institutional Research Information System (University of Pisa)

The topics addressed in these publications indicate active engagement with remote sensing, few-shot learning, and continual learning challenges in computer vision. The synthesis of domain adaptation methodologies with advanced machine learning techniques appears central to their contributions.

Best Publications

  • Deep Supervised Hashing for Fast Image Retrieval

    Haomiao Liu;Ruiping Wang;Shiguang Shan;Xilin Chen

  • Manifold-Manifold Distance with application to face recognition based on image set

    Ruiping Wang;Shiguang Shan;Xilin Chen;Wen Gao

  • Covariance discriminative learning: A natural and efficient approach to image set classification

    Ruiping Wang;Huimin Guo;Larry S. Davis;Qionghai Dai

  • Learning Expressionlets on Spatio-temporal Manifold for Dynamic Facial Expression Recognition

    Mengyi Liu;Shiguang Shan;Ruiping Wang;Xilin Chen

  • Manifold Discriminant Analysis

    Ruiping Wang;Xilin Chen

  • Deeply Learning Deformable Facial Action Parts Model for Dynamic Expression Analysis

    Mengyi Liu;Shaoxin Li;Shiguang Shan;Ruiping Wang

  • Discriminant Analysis on Riemannian Manifold of Gaussian Distributions for Face Recognition With Image Sets

    Wen Wang;Ruiping Wang;Zhiwu Huang;Shiguang Shan

  • RingMo: A Remote Sensing Foundation Model With Masked Image Modeling

    Unknown

  • Projection Metric Learning on Grassmann Manifold with Application to Video based Face Recognition

    Zhiwu Huang;Ruiping Wang;Shiguang Shan;Xilin Chen

  • Structure Inference Net: Object Detection Using Scene-Level Context and Instance-Level Relationships

    Yong Liu;Ruiping Wang;Shiguang Shan;Xilin Chen

  • Log-Euclidean Metric Learning on Symmetric Positive Definite Manifold with Application to Image Set Classification

    Zhiwu Huang;Ruiping Wang;Shiguang Shan;Xianqiu Li

  • Cross-modal Scene Graph Matching for Relationship-aware Image-Text Retrieval

    Sijin Wang;Ruiping Wang;Ziwei Yao;Shiguang Shan

  • Combining Multiple Kernel Methods on Riemannian Manifold for Emotion Recognition in the Wild

    Mengyi Liu;Ruiping Wang;Shaoxin Li;Shiguang Shan

  • Transferable Contrastive Network for Generalized Zero-Shot Learning

    Huajie Jiang;Ruiping Wang;Shiguang Shan;Xilin Chen

  • A Benchmark and Comparative Study of Video-Based Face Recognition on COX Face Database

    Zhiwu Huang;Shiguang Shan;Ruiping Wang;Haihong Zhang

  • Manifold–Manifold Distance and its Application to Face Recognition With Image Sets

    Ruiping Wang;Shiguang Shan;Xilin Chen;Qionghai Dai

  • Learning Class Prototypes via Structure Alignment for Zero-Shot Recognition

    Huajie Jiang;Ruiping Wang;Shiguang Shan;Xilin Chen

  • Learning Discriminative Latent Attributes for Zero-Shot Classification

    Huajie Jiang;Ruiping Wang;Shiguang Shan;Yi Yang

  • Multi-Modal Graph Neural Network for Joint Reasoning on Vision and Scene Text

    Difei Gao;Ke Li;Ruiping Wang;Shiguang Shan

  • Face recognition on large-scale video in the wild with hybrid Euclidean-and-Riemannian metric learning

    Zhiwu Huang;Ruiping Wang;Shiguang Shan;Xilin Chen

  • Learning Euclidean-to-Riemannian Metric for Point-to-Set Classification

    Zhiwu Huang;Ruiping Wang;Shiguang Shan;Xilin Chen

Frequent Co-Authors

Xilin Chen
Xilin Chen University of Chinese Academy of Sciences
Shiguang Shan
Shiguang Shan Chinese Academy of Sciences
Wen Gao
Wen Gao Peking University
Qionghai Dai
Qionghai Dai Tsinghua University
Luc Van Gool
Luc Van Gool Institute for Computer Science, Artificial Intelligence and Technology (INSAIT)
Ajmal Mian
Ajmal Mian University of Western Australia
Larry S. Davis
Larry S. Davis University of Maryland, College Park
Josef Kittler
Josef Kittler University of Surrey
Shifeng Zhang
Shifeng Zhang Beijing Forestry University
Fuzhai Cui
Fuzhai Cui Tsinghua University

External Links

Personal website of Ruiping Wang Google Scholar page

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Related Online Degrees & Career Pathways

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Best Scientists Citing Ruiping Wang

Jiwen Lu

Jiwen Lu

Tsinghua University

Publications: 44

Mehrtash Harandi

Mehrtash Harandi

Monash University

Publications: 35

Ling Shao

Ling Shao

Terminus International

Publications: 30

Rama Chellappa

Rama Chellappa

Johns Hopkins University

Publications: 28

Jie Zhou

Jie Zhou

Tsinghua University

Publications: 27

Dacheng Tao

Dacheng Tao

Nanyang Technological University

Publications: 24

Ran He

Ran He

Chinese Academy of Sciences

Publications: 21

Eric Granger

Eric Granger

École de Technologie Supérieure

Publications: 21

Junbin Gao

Junbin Gao

University of Sydney

Publications: 19

Xiaojun Wu

Xiaojun Wu

University of Science and Technology of China

Publications: 19

Brian C. Lovell

Brian C. Lovell

University of Queensland

Publications: 18

Xiao-Yuan Jing

Xiao-Yuan Jing

Wuhan University

Publications: 17

Zhenan Sun

Zhenan Sun

Chinese Academy of Sciences

Publications: 16

Ajmal Mian

Ajmal Mian

University of Western Australia

Publications: 15

Mathieu Salzmann

Mathieu Salzmann

École Polytechnique Fédérale de Lausanne

Publications: 15

Qi Tian

Qi Tian

Huawei Technologies (China)

Publications: 15

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