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Xiangyu Zhang

Xiangyu Zhang

Megvii
China

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Computer Science 44 7333 7120 975 969 92 53591

Xiangyu Zhang publications per year

The chart shows the history of publications by Xiangyu Zhang between 1984 and 2026, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Xiangyu Zhang published across 43 years, from 1984 to 2026, averaging 6.5 papers a year. Output peaked at 63 publications in 2023. 38 of the 279 publications appeared in the last two years.

No. of publications
20 40 60
Bar chart. Horizontal axis: year, 1984 to 2026. Vertical axis: number of publications, 0 to 63. Peak 63 publications in 2023. 1984: 1 publication 1985: 0 publications 1986: 0 publications 1987: 0 publications 1988: 0 publications 1989: 0 publications 1990: 0 publications 1991: 0 publications 1992: 0 publications 1993: 1 publication 1994: 1 publication 1995: 1 publication 1996: 0 publications 1997: 0 publications 1998: 1 publication 1999: 1 publication 2000: 0 publications 2001: 1 publication 2002: 0 publications 2003: 1 publication 2004: 0 publications 2005: 0 publications 2006: 2 publications 2007: 4 publications 2008: 3 publications 2009: 2 publications 2010: 2 publications 2011: 2 publications 2012: 3 publications 2013: 0 publications 2014: 3 publications 2015: 5 publications 2016: 3 publications 2017: 3 publications 2018: 7 publications 2019: 4 publications 2020: 10 publications 2021: 17 publications 2022: 48 publications 2023: 63 publications 2024: 52 publications 2025: 37 publications 2026: 1 publication
1984 2026

279 publications in total across all disciplines

View publications per year as a table
Xiangyu Zhang: publications per year, 1984 to 2026
Year Publications
1984 1
1985 0
1986 0
1987 0
1988 0
1989 0
1990 0
1991 0
1992 0
1993 1
1994 1
1995 1
1996 0
1997 0
1998 1
1999 1
2000 0
2001 1
2002 0
2003 1
2004 0
2005 0
2006 2
2007 4
2008 3
2009 2
2010 2
2011 2
2012 3
2013 0
2014 3
2015 5
2016 3
2017 3
2018 7
2019 4
2020 10
2021 17
2022 48
2023 63
2024 52
2025 37
2026 1
Total 279
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Xiangyu Zhang publications per year - data summary

  • Xiangyu Zhang, a Computer Science scholar from Megvii, has 279 publications recorded across 43 years, from 1984 to 2026.
  • The oldest publication on record dates to 1984 and the most recent to 2026.
  • The most productive year is 2023, with 63 publications.
  • The least productive years with any output are 1984, 1993, 1994, 1995 and others, with 1 publication each.
  • 15 of the 43 years in the span carry no publications at all (1985, 1986, 1987, 1988 and others).
  • The rate of publication averages 6.5 papers per year over the whole span, or 10.0 per year counting only the 28 years with at least one publication.
  • The last 5 years on the chart (2022-2026) hold 201 publications, 72% of the career total.
  • Split into equal eras - 1984-1998: 5 publications (0.3 per year); 1999-2013: 21 publications (1.4 per year); 2014-2026: 253 publications (19.5 per year).
  • Comparing the opening and closing eras, the overall trend of publication is rising.

Xiangyu Zhang 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 Xiangyu Zhang 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, 92–101 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: 92 publications — 6th percentile

6% 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 92
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
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

Xiangyu Zhang publication distribution in Computer Science in 2026 - data summary

  • The chart plots the publication count of all 14,188 Computer Science scientists ranked by Research.com in 2026, grouped into 97 ranges running from 32–41 to 991+ publications.
  • Xiangyu Zhang, a Computer Science scholar from Megvii, records 92 publications - the 6th percentile of the discipline.
  • 6% of ranked Computer Science scientists score the same or lower than Xiangyu Zhang, and about 94% score higher.
  • The median of the discipline falls in the 202–211 publications range, and Xiangyu Zhang ranks below the median.
  • The most crowded range is 142–151 publications, holding 609 scientists (4% of the field).
  • 70% of the field sits in the lowest quarter of the value range (up to 272–281 publications), so the distribution is heavily right-skewed and high scores are rare.
  • The final bar has no upper bound: it groups every scientist with 991 publications or more, 100 scientists in all (<1% of the field).

Xiangyu Zhang 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 Xiangyu Zhang 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, 44–45 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: 44 D-Index — 48th percentile

48% 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 44
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

Xiangyu Zhang D-index placement in Computer Science in 2026 - data summary

  • The chart plots the discipline H-index (D-index) of all 14,188 Computer Science scientists ranked by Research.com in 2026, grouped into 52 ranges running from 30–31 to 131+ D-Index.
  • Xiangyu Zhang, a Computer Science scholar from Megvii, records 44 D-Index - the 48th percentile of the discipline.
  • 48% of ranked Computer Science scientists score the same or lower than Xiangyu Zhang, and about 52% score higher.
  • The median of the discipline falls in the 44–45 D-Index range, and Xiangyu Zhang falls inside that same range.
  • The most crowded range is 36–37 D-Index, holding 990 scientists (7% of the field).
  • 71% of the field sits in the lowest quarter of the value range (up to 54–55 D-Index), so the distribution is heavily right-skewed and high scores are rare.
  • The final bar has no upper bound: it groups every scientist with 131 D-Index or more, 98 scientists in all (<1% of the field).

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Machine learning
  • Artificial neural network

His primary areas of investigation include Artificial intelligence, Pattern recognition, Contextual image classification, Artificial neural network and Convolutional neural network. His study of Object detection is a part of Artificial intelligence. In his work, Kernel is strongly intertwined with Machine learning, which is a subfield of Pattern recognition.

Xiangyu Zhang usually deals with Artificial neural network and limits it to topics linked to Test set and Task, Feature learning, MNIST database and Softmax function. His Convolutional neural network research is multidisciplinary, relying on both Image resolution, Computer vision, Stochastic gradient descent and Speedup. His study in Computer vision is interdisciplinary in nature, drawing from both Transfer of learning and Deep learning, Transformer.

His most cited work include:

  • Deep Residual Learning for Image Recognition (61800 citations)
  • Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification (7908 citations)
  • Identity Mappings in Deep Residual Networks (4287 citations)

What are the main themes of his work throughout his whole career to date?

Artificial intelligence, Object detection, Pattern recognition, Segmentation and Computer vision are his primary areas of study. His Artificial intelligence study combines topics in areas such as Machine learning and Code. His Object detection research is multidisciplinary, incorporating elements of Algorithm, Feature and Task.

His Pattern recognition study integrates concerns from other disciplines, such as Image resolution, Visual recognition, Spatial analysis and Residual. Within one scientific family, Xiangyu Zhang focuses on topics pertaining to Speedup under Convolutional neural network, and may sometimes address concerns connected to Computation. Xiangyu Zhang has included themes like Normalization, Deep learning and Pruning in his Artificial neural network study.

He most often published in these fields:

  • Artificial intelligence (69.15%)
  • Object detection (42.55%)
  • Pattern recognition (36.17%)

What were the highlights of his more recent work (between 2019-2021)?

  • Artificial intelligence (69.15%)
  • Pattern recognition (36.17%)
  • Code (19.15%)

In recent papers he was focusing on the following fields of study:

His main research concerns Artificial intelligence, Pattern recognition, Code, Object detection and Segmentation. His Artificial intelligence research is multidisciplinary, incorporating perspectives in Margin, Machine learning and Markov chain. In his study, Identification is strongly linked to Spatial analysis, which falls under the umbrella field of Pattern recognition.

His Code research integrates issues from Relation, Convolutional neural network and Feature vector. The various areas that Xiangyu Zhang examines in his Convolutional neural network study include Contextual image classification and Parallel computing. His Object detection research includes themes of Algorithm, Encoder and Feature.

Between 2019 and 2021, his most popular works were:

  • Learning Human-Object Interaction Detection Using Interaction Points (31 citations)
  • Learning Dynamic Routing for Semantic Segmentation (24 citations)
  • TOWARDS STABILIZING BATCH STATISTICS IN BACKWARD PROPAGATION OF BATCH NORMALIZATION (12 citations)

In his most recent research, the most cited papers focused on:

  • Artificial intelligence
  • Machine learning
  • Computer vision

Xiangyu Zhang focuses on Artificial intelligence, Pattern recognition, Code, Segmentation and Object. His multidisciplinary approach integrates Artificial intelligence and Source code in his work. His work deals with themes such as Representation and Spatial analysis, which intersect with Pattern recognition.

The concepts of his Code study are interwoven with issues in Convolutional neural network and Parallel computing. Xiangyu Zhang does research in Object, focusing on Object detection specifically. Object detection is the subject of his research, which falls under Computer vision.

Best Publications

  • Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification

    Kaiming He;Xiangyu Zhang;Shaoqing Ren;Jian Sun

  • ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices

    Xiangyu Zhang;Xinyu Zhou;Mengxiao Lin;Jian Sun

  • ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture Design

    Ningning Ma;Xiangyu Zhang;Hai-Tao Zheng;Jian Sun

  • Channel Pruning for Accelerating Very Deep Neural Networks

    Yihui He;Xiangyu Zhang;Jian Sun

  • Large Kernel Matters — Improve Semantic Segmentation by Global Convolutional Network

    Chao Peng;Xiangyu Zhang;Gang Yu;Guiming Luo

  • Scaling Up Your Kernels to 31×31: Revisiting Large Kernel Design in CNNs

    Unknown

  • Accelerating Very Deep Convolutional Networks for Classification and Detection

    Xiangyu Zhang;Jianhua Zou;Kaiming He;Jian Sun

  • Single Path One-Shot Neural Architecture Search with Uniform Sampling

    Zichao Guo;Xiangyu Zhang;Haoyuan Mu;Wen Heng

  • You Only Look One-level Feature

    Qiang Chen;Yingming Wang;Tong Yang;Xiangyu Zhang

  • Simple Baselines for Image Restoration

    Unknown

  • Objects365: A Large-Scale, High-Quality Dataset for Object Detection

    Shuai Shao;Zeming Li;Tianyuan Zhang;Chao Peng

  • CrowdHuman: A Benchmark for Detecting Human in a Crowd

    Shuai Shao;Zijian Zhao;Boxun Li;Tete Xiao

  • MetaPruning: Meta Learning for Automatic Neural Network Channel Pruning

    Zechun Liu;Haoyuan Mu;Xiangyu Zhang;Zichao Guo

  • Meta-SR: A Magnification-Arbitrary Network for Super-Resolution

    Xuecai Hu;Haoyuan Mu;Xiangyu Zhang;Zilei Wang

  • Diverse Branch Block: Building a Convolution as an Inception-like Unit

    Xiaohan Ding;Xiangyu Zhang;Jungong Han;Guiguang Ding

  • PETR: Position Embedding Transformation for Multi-View 3D Object Detection

    Unknown

  • Anchor DETR: Query Design for Transformer-Based Detector.

    Yingming Wang;Xiangyu Zhang;Tong Yang;Jian Sun

  • Focal Sparse Convolutional Networks for 3D Object Detection

    Unknown

  • MegDet: A Large Mini-Batch Object Detector

    Chao Peng;Tete Xiao;Zeming Li;Yuning Jiang

  • Efficient and accurate approximations of nonlinear convolutional networks

    Xiangyu Zhang;Jianhua Zou;Xiang Ming;Kaiming He

  • Light-Head R-CNN: In Defense of Two-Stage Object Detector.

    Zeming Li;Chao Peng;Gang Yu;Xiangyu Zhang

  • DetNet: A Backbone network for Object Detection.

    Zeming Li;Chao Peng;Gang Yu;Xiangyu Zhang

  • PETRv2: A Unified Framework for 3D Perception from Multi-Camera Images

    Unknown

Frequent Co-Authors

Jian Sun
Jian Sun Megvii
Kaiming He
Kaiming He Facebook (United States)
Yichen Wei
Yichen Wei Microsoft Research Asia (China)
Jiaya Jia
Jiaya Jia Hong Kong University of Science and Technology
Kwang-Ting Cheng
Kwang-Ting Cheng Hong Kong University of Science and Technology
Jungong Han
Jungong Han Aberystwyth University
Guiguang Ding
Guiguang Ding Tsinghua University
Gaofeng Meng
Gaofeng Meng Chinese Academy of Sciences
Marios Savvides
Marios Savvides Carnegie Mellon University
Haoqian Wang
Haoqian Wang Tsinghua University

External Links

Google Scholar page

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Publications: 214

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Publications: 196

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Publications: 170

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University of California, Merced

Publications: 161

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Publications: 159

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Hong Kong Polytechnic University

Publications: 155

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Publications: 152

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Publications: 143

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Publications: 138

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Publications: 138

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2027 Fastest Online Organizational Leadership Bachelor's Degree Programs You Can Finish in 3 Years or Less
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2027 Best ADN Nursing Programs in Minnesota: Online & Campus
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2027 Admission Requirements for Cinematography, Film & Media Bachelor's Degree Programs: GPA, High School Requirements & Acceptance Criteria
2027 How To Become an LVN in Oregon

2027 How To Become an LVN in Oregon
2027 Online Cybersecurity Degree Master's Programs with No GRE or GMAT Requirements

2027 Online Cybersecurity Degree Master's Programs with No GRE or GMAT Requirements
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2027 Cheapest Accredited Online Curriculum & Instruction Degree Programs: Tuition, Fees, and Financial Aid
2027 Different Types of Disability Studies Bachelor's Degrees: Specializations, Careers, and Salaries

2027 Different Types of Disability Studies Bachelor's Degrees: Specializations, Careers, and Salaries
2027 Best Online Master’s in Healthcare Quality and Patient Safety Programs

2027 Best Online Master’s in Healthcare Quality and Patient Safety Programs