World's Best Scientists 2026 revealed!
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Jiashi Feng

Jiashi Feng

ByteDance
China

Award Badge
Computer Science
China
2026

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Computer Science 107 263 255 31 29 387 49397

Jiashi Feng publications per year

The chart shows the history of publications by Jiashi Feng between 2010 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Jiashi Feng published across 16 years, from 2010 to 2025, averaging 32.5 papers a year. Output peaked at 66 publications in 2018. 66 of the 520 publications appeared in the last two years.

No. of publications
20 40 60
Bar chart. Horizontal axis: year, 2010 to 2025. Vertical axis: number of publications, 0 to 66. Peak 66 publications in 2018. 2010: 4 publications 2011: 4 publications 2012: 8 publications 2013: 9 publications 2014: 7 publications 2015: 7 publications 2016: 38 publications 2017: 60 publications 2018: 66 publications 2019: 61 publications 2020: 57 publications 2021: 58 publications 2022: 30 publications 2023: 45 publications 2024: 41 publications 2025: 25 publications
2010 2025

520 publications in total across all disciplines

View publications per year as a table
Jiashi Feng: publications per year, 2010 to 2025
Year Publications
2010 4
2011 4
2012 8
2013 9
2014 7
2015 7
2016 38
2017 60
2018 66
2019 61
2020 57
2021 58
2022 30
2023 45
2024 41
2025 25
Total 520
Download as CSV

Jiashi Feng 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 Jiashi Feng 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, 382–391 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: 387 publications — 86th percentile

86% 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
382–391 158 387
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

Jiashi Feng 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 Jiashi Feng 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, 106–107 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: 107 D-Index — 98th percentile

98% 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
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 18 107
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

  • 2026 - Research.com Computer Science in China Leader Award
  • 2025 - Research.com Computer Science in China Leader Award
  • 2022 - Research.com Computer Science in China Leader Award

Overview

Jiashi Feng is affiliated with ByteDance in China and is active in the field of computer science, with a primary research focus on computer vision and pattern recognition. Their body of work comprises over 400 publications, spanning various subfields and topics within artificial intelligence and visual computing.

The scientist's main research areas include:

  • Computer Vision and Pattern Recognition
  • Artificial Intelligence
  • Radiology, Nuclear Medicine and Imaging
  • Computational Mechanics
  • Signal Processing

Their work extensively covers advanced topics within the field, such as:

  • Domain Adaptation and Few-Shot Learning
  • Advanced Neural Network Applications
  • Multimodal Machine Learning Applications
  • Human Pose and Action Recognition
  • Advanced Image and Video Retrieval Techniques
  • Generative Adversarial Networks and Image Synthesis
  • Advanced Vision and Imaging

Jiashi Feng has published multiple papers in prominent venues. Some of their recent notable papers include:

  • "Tokens-to-Token ViT: Training Vision Transformers from Scratch on ImageNet," 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • "MetaFormer is Actually What You Need for Vision," 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • "Deep Long-Tailed Learning: A Survey," 2023, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • "Evaluation of Combined Artificial Intelligence and Radiologist Assessment to Interpret Screening Mammograms," 2020, JAMA Network Open
  • "DeepViT: Towards Deeper Vision Transformer," 2021, arXiv (Cornell University)

The venues where Jiashi Feng frequently publishes research comprise:

  • arXiv (Cornell University)
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • IEEE Transactions on Image Processing
  • 2021 IEEE/CVF International Conference on Computer Vision (ICCV)

The research collaborations of Jiashi Feng highlight frequent co-authorship with several researchers, including:

  • Daquan Zhou
  • Qibin Hou
  • Shuicheng Yan
  • Jun Hao Liew
  • Zihang Jiang

The scientist's contributions are primarily situated within computer science, leveraging deep learning methodologies to address challenges in image understanding, few-shot learning, and multimodal data interpretation. Their involvement in medical imaging research illustrates interdisciplinary applications incorporating artificial intelligence and radiology for practical healthcare solutions.

Best Publications

  • Tokens-to-Token ViT: Training Vision Transformers from Scratch on ImageNet

    Li Yuan;Yunpeng Chen;Tao Wang;Weihao Yu

  • Return of frustratingly easy domain adaptation

    Baochen Sun;Jiashi Feng;Kate Saenko

  • PANet: Few-Shot Image Semantic Segmentation With Prototype Alignment

    Kaixin Wang;Jun Hao Liew;Yingtian Zou;Daquan Zhou

  • Deep Joint Rain Detection and Removal from a Single Image

    Wenhan Yang;Robby T. Tan;Jiashi Feng;Jiaying Liu

  • A Simple Pooling-Based Design for Real-Time Salient Object Detection

    Jiang-Jiang Liu;Qibin Hou;Ming-Ming Cheng;Jiashi Feng

  • Tensor Robust Principal Component Analysis with a New Tensor Nuclear Norm

    Canyi Lu;Jiashi Feng;Yudong Chen;Wei Liu

  • Object Region Mining with Adversarial Erasing: A Simple Classification to Semantic Segmentation Approach

    Yunchao Wei;Jiashi Feng;Xiaodan Liang;Ming-Ming Cheng

  • Perceptual Generative Adversarial Networks for Small Object Detection

    Jianan Li;Xiaodan Liang;Yunchao Wei;Tingfa Xu

  • Scale-Aware Fast R-CNN for Pedestrian Detection

    Jianan Li;Xiaodan Liang;Shengmei Shen;Tingfa Xu

  • Few-Shot Object Detection via Feature Reweighting

    Bingyi Kang;Zhuang Liu;Xin Wang;Fisher Yu

  • End-to-End Comparative Attention Networks for Person Re-Identification

    Hao Liu;Jiashi Feng;Meibin Qi;Jianguo Jiang

  • Drop an Octave: Reducing Spatial Redundancy in Convolutional Neural Networks With Octave Convolution

    Yunpeng Chen;Haoqi Fan;Bing Xu;Zhicheng Yan

  • STC: A Simple to Complex Framework for Weakly-Supervised Semantic Segmentation

    Yunchao Wei;Xiaodan Liang;Yunpeng Chen;Xiaohui Shen

  • Revisiting Dilated Convolution: A Simple Approach for Weakly- and Semi-Supervised Semantic Segmentation

    Yunchao Wei;Huaxin Xiao;Honghui Shi;Zequn Jie

  • Adversarial Complementary Learning for Weakly Supervised Object Localization

    Xiaolin Zhang;Yunchao Wei;Jiashi Feng;Yi Yang

  • Diversified Visual Attention Networks for Fine-Grained Object Classification

    Bo Zhao;Xiao Wu;Jiashi Feng;Qiang Peng

  • Natural Language Object Retrieval

    Ronghang Hu;Huazhe Xu;Marcus Rohrbach;Jiashi Feng

  • Tensor Robust Principal Component Analysis: Exact Recovery of Corrupted Low-Rank Tensors via Convex Optimization

    Canyi Lu;Jiashi Feng;Yudong Chen;Wei Liu

  • Dual Path Networks

    Yunpeng Chen;Jianan Li;Huaxin Xiao;Xiaojie Jin

  • Graph-Based Global Reasoning Networks

    Yunpeng Chen;Marcus Rohrbach;Zhicheng Yan;Yan Shuicheng

  • Revisiting Knowledge Distillation via Label Smoothing Regularization

    Li Yuan;Francis Eh Tay;Guilin Li;Tao Wang

  • Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain Adaptation

    Jian Liang;Dapeng Hu;Jiashi Feng

Frequent Co-Authors

Shuicheng Yan
Shuicheng Yan National University of Singapore
Yunpeng Chen
Yunpeng Chen National University of Singapore
Yunchao Wei
Yunchao Wei Beijing Jiaotong University
Zequn Jie
Zequn Jie Tencent (China)
Xiaodan Liang
Xiaodan Liang Sun Yat-sen University
Qibin Hou
Qibin Hou Nankai University
Zhouchen Lin
Zhouchen Lin Peking University
Xiaohui Shen
Xiaohui Shen ByteDance
Huan Xu
Huan Xu Alibaba Group (China)
Terence Sim
Terence Sim National University of Singapore

External Links

Personal website of Jiashi Feng Google Scholar page

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Best Scientists Citing Jiashi Feng

Liang Lin

Liang Lin

Sun Yat-sen University

Publications: 108

Ling Shao

Ling Shao

Terminus International

Publications: 77

Dacheng Tao

Dacheng Tao

Nanyang Technological University

Publications: 76

Shuicheng Yan

Shuicheng Yan

National University of Singapore

Publications: 67

Qi Tian

Qi Tian

Huawei Technologies (China)

Publications: 67

Xiaodan Liang

Xiaodan Liang

Sun Yat-sen University

Publications: 59

Ming-Ming Cheng

Ming-Ming Cheng

Nankai University

Publications: 57

Yunchao Wei

Yunchao Wei

Beijing Jiaotong University

Publications: 53

Chunhua Shen

Chunhua Shen

Zhejiang University

Publications: 53

Ran He

Ran He

Chinese Academy of Sciences

Publications: 52

Luc Van Gool

Luc Van Gool

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

Publications: 48

Ming-Hsuan Yang

Ming-Hsuan Yang

University of California, Merced

Publications: 48

Jiebo Luo

Jiebo Luo

University of Rochester

Publications: 46

Nicu Sebe

Nicu Sebe

University of Trento

Publications: 45

Zhouchen Lin

Zhouchen Lin

Peking University

Publications: 44

Wanli Ouyang

Wanli Ouyang

Shanghai AI Lab

Publications: 42

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