World's Best Scientists 2026 revealed!
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Ying Tai
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Rising Stars
2025

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Rising Stars 42 548 548 190 190 107 10540
Computer Science 43 7801 7577 1025 1019 107 11969

Ying Tai publications per year

The chart shows the history of publications by Ying Tai between 2014 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Ying Tai published across 12 years, from 2014 to 2025, averaging 14.8 papers a year. Output peaked at 29 publications in 2024. 53 of the 177 publications appeared in the last two years.

No. of publications
5 10 15 20 25
Bar chart. Horizontal axis: year, 2014 to 2025. Vertical axis: number of publications, 0 to 29. Peak 29 publications in 2024. 2014: 3 publications 2015: 6 publications 2016: 6 publications 2017: 7 publications 2018: 6 publications 2019: 7 publications 2020: 25 publications 2021: 23 publications 2022: 28 publications 2023: 13 publications 2024: 29 publications 2025: 24 publications
2014 2025

177 publications in total across all disciplines

View publications per year as a table
Ying Tai: publications per year, 2014 to 2025
Year Publications
2014 3
2015 6
2016 6
2017 7
2018 6
2019 7
2020 25
2021 23
2022 28
2023 13
2024 29
2025 24
Total 177
Download as CSV

Ying Tai 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 Ying Tai 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, 102–111 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: 107 publications — 11th percentile

11% 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
102–111 420 107
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
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

Ying Tai 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 Ying Tai 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, 42–43 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: 43 D-Index — 46th percentile

46% 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 43
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

Research.com Recognitions

  • 2025 - Research.com Rising Stars Award

Overview

Ying Tai is affiliated with Nanjing University in China and works primarily in the field of Computer Science, focusing on specialized areas including Computer Vision and Pattern Recognition, Artificial Intelligence, Signal Processing, Media Technology, and Computational Mechanics.

The scientist's research also spans several core topics such as Face recognition and analysis, Video Surveillance and Tracking Methods, Advanced Image Processing Techniques, Generative Adversarial Networks and Image Synthesis, Advanced Vision and Imaging, Image Enhancement Techniques, and Anomaly Detection Techniques and Applications.

Ying Tai's recent published works include:

  • Rethinking Counting and Localization in Crowds: A Purely Point-Based Framework (2021), presented at the 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • TEINet: Towards an Efficient Architecture for Video Recognition (2020), published in the Proceedings of the AAAI Conference on Artificial Intelligence
  • Fast Learning of Temporal Action Proposal via Dense Boundary Generator (2020), published in the Proceedings of the AAAI Conference on Artificial Intelligence
  • To Choose or to Fuse? Scale Selection for Crowd Counting (2021), featured in the Proceedings of the AAAI Conference on Artificial Intelligence
  • IFRNet: Intermediate Feature Refine Network for Efficient Frame Interpolation (2022), presented at the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

The scientist has collaborated frequently with several peers, including Chengjie Wang, Jilin Li, Feiyue Huang, Yabiao Wang, and Donghao Luo, contributing to numerous coauthored publications.

Ying Tai has contributed extensively to reputable publication venues, with a high volume of work appearing in:

  • arXiv (Cornell University)
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • IEEE Transactions on Image Processing

The concentration of Ying Tai's work lies notably in advancing techniques and methodologies within computer vision, artificial intelligence, and image processing domains. The research outputs reveal a consistent focus on addressing complex problems related to image analysis, video recognition, and crowd counting through different algorithmic approaches and network architectures.

Best Publications

  • Image Super-Resolution via Deep Recursive Residual Network

    Ying Tai;Jian Yang;Xiaoming Liu

  • MemNet: A Persistent Memory Network for Image Restoration

    Ying Tai;Jian Yang;Xiaoming Liu;Chunyan Xu

  • FSRNet: End-to-End Learning Face Super-Resolution with Facial Priors

    Yu Chen;Ying Tai;Xiaoming Liu;Chunhua Shen

  • CurricularFace: Adaptive Curriculum Learning Loss for Deep Face Recognition

    Yuge Huang;Yuhan Wang;Ying Tai;Xiaoming Liu

  • DSFD: Dual Shot Face Detector

    Jian Li;Yabiao Wang;Changan Wang;Ying Tai

  • Nuclear Norm Based Matrix Regression with Applications to Face Recognition with Occlusion and Illumination Changes

    Jian Yang;Lei Luo;Jianjun Qian;Ying Tai

  • Chained-Tracker: Chaining Paired Attentive Regression Results for End-to-End Joint Multiple-Object Detection and Tracking

    Jinlong Peng;Changan Wang;Fangbin Wan;Yang Wu

  • Rethinking Counting and Localization in Crowds: A Purely Point-Based Framework

    Qingyu Song;Changan Wang;Zhengkai Jiang;Yabiao Wang

  • Real-World Super-Resolution via Kernel Estimation and Noise Injection

    Xiaozhong Ji;Yun Cao;Ying Tai;Chengjie Wang

  • Learning Salient Boundary Feature for Anchor-free Temporal Action Localization

    Chuming Lin;Chengming Xu;Donghao Luo;Yabiao Wang

  • TEINet: Towards an Efficient Architecture for Video Recognition

    Zhaoyang Liu;Donghao Luo;Yabiao Wang;Limin Wang

  • IFRNet: Intermediate Feature Refine Network for Efficient Frame Interpolation

    Unknown

  • Person Search via a Mask-Guided Two-Stream CNN Model

    Di Chen;Shanshan Zhang;Wanli Ouyang;Jian Yang

  • Fast Learning of Temporal Action Proposal via Dense Boundary Generator

    Chuming Lin;Jian Li;Yabiao Wang;Ying Tai

  • Learning by Analogy: Reliable Supervision From Transformations for Unsupervised Optical Flow Estimation

    Liang Liu;Jiangning Zhang;Ruifei He;Yong Liu

  • NTIRE 2020 Challenge on Real-World Image Super-Resolution: Methods and Results

    Andreas Lugmayr;Martin Danelljan;Radu Timofte;Namhyuk Ahn

  • Learning Multi-Granular Hypergraphs for Video-Based Person Re-Identification

    Yichao Yan;Jie Qin;Jiaxin Chen;Li Liu

  • To Choose or to Fuse? Scale Selection for Crowd Counting

    Qingyu Song;Changan Wang;Yabiao Wang;Ying Tai

  • Face Anti-Spoofing via Disentangled Representation Learning

    Ke-Yue Zhang;Taiping Yao;Jian Zhang;Ying Tai

  • HifiFace: 3D Shape and Semantic Prior Guided High Fidelity Face Swapping.

    Yuhan Wang;Yuhan Wang;Xu Chen;Xu Chen;Junwei Zhu;Wenqing Chu

  • Collaborative Learning for Faster StyleGAN Embedding

    Shanyan Guan;Ying Tai;Bingbing Ni;Feida Zhu

Frequent Co-Authors

Feiyue Huang
Feiyue Huang Tencent (China)
Jian Yang
Jian Yang University of Birmingham
Xiaoming Liu
Xiaoming Liu University of North Carolina at Chapel Hill
Rongrong Ji
Rongrong Ji Xiamen University
Tong Lu
Tong Lu Nanjing University
Xiaokang Yang
Xiaokang Yang Shanghai Jiao Tong University
Yanwei Fu
Yanwei Fu Fudan University
Lizhuang Ma
Lizhuang Ma Shanghai Jiao Tong University
Wanli Ouyang
Wanli Ouyang Shanghai AI Lab
Bingbing Ni
Bingbing Ni Shanghai Jiao Tong University

External Links

Personal website of Ying Tai

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Best Scientists Citing Ying Tai

Radu Timofte

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University of Wurzburg

Publications: 53

Jian Yang

Jian Yang

University of Birmingham

Publications: 43

Xinbo Gao

Xinbo Gao

Xidian University

Publications: 37

Wangmeng Zuo

Wangmeng Zuo

Harbin Institute of Technology

Publications: 36

Lei Zhang

Lei Zhang

Hong Kong Polytechnic University

Publications: 32

Junjun Jiang

Junjun Jiang

Harbin Institute of Technology

Publications: 26

Chao Dong

Chao Dong

Shenzhen Institutes of Advanced Technology

Publications: 22

Luc Van Gool

Luc Van Gool

Institute for Computer Science, Artificial Intelligence and Technology (INSAIT)

Publications: 21

Xin Yang

Xin Yang

Sun Yat-sen University

Publications: 21

Yu Qiao

Yu Qiao

Chinese Academy of Sciences

Publications: 18

Zhihui Lai

Zhihui Lai

Shenzhen University

Publications: 18

Xiaohai He

Xiaohai He

Sichuan University

Publications: 18

Yun Fu

Yun Fu

Northeastern University

Publications: 17

Xiaoming Liu

Xiaoming Liu

University of North Carolina at Chapel Hill

Publications: 17

Zhen Lei

Zhen Lei

Chinese Academy of Sciences

Publications: 15

Yong Xu

Yong Xu

Harbin Institute of Technology

Publications: 15

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