World's Best Scientists 2026 revealed!

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Computer Science 45 6971 6769 3050 2935 61 29023

Xinlei Chen publications per year

The chart shows the history of publications by Xinlei Chen between 2010 and 2026, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Xinlei Chen published across 17 years, from 2010 to 2026, averaging 13.9 papers a year. Output peaked at 57 publications in 2024. 55 of the 236 publications appeared in the last two years.

No. of publications
10 20 30 40 50
Bar chart. Horizontal axis: year, 2010 to 2026. Vertical axis: number of publications, 0 to 57. Peak 57 publications in 2024. 2010: 1 publication 2011: 3 publications 2012: 4 publications 2013: 1 publication 2014: 3 publications 2015: 7 publications 2016: 3 publications 2017: 3 publications 2018: 4 publications 2019: 13 publications 2020: 5 publications 2021: 10 publications 2022: 41 publications 2023: 26 publications 2024: 57 publications 2025: 49 publications 2026: 6 publications
2010 2026

236 publications in total across all disciplines

View publications per year as a table
Xinlei Chen: publications per year, 2010 to 2026
Year Publications
2010 1
2011 3
2012 4
2013 1
2014 3
2015 7
2016 3
2017 3
2018 4
2019 13
2020 5
2021 10
2022 41
2023 26
2024 57
2025 49
2026 6
Total 236
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Xinlei Chen 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 Xinlei Chen 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, 52–61 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: 61 publications — 1st percentile

1% 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 61
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
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
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Xinlei Chen 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 Xinlei Chen 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: 45 D-Index — 51st percentile

51% 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 45
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
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Overview

Xinglei Chen is affiliated with Facebook in the United States and has an extensive background in computer science research. Their work spans multiple subfields, including computer vision and pattern recognition, artificial intelligence, electrical and electronic engineering, computer networks and communications, and cognitive neuroscience.

The scientist's research topics cover a diverse range, focusing on areas such as domain adaptation and few-shot learning, multimodal machine learning applications, advanced neural network applications, air quality monitoring and forecasting, EEG and brain-computer interfaces, quantum computing algorithms and architecture, and quantum information and cryptography.

Their publication record includes important papers that contribute to the field of computer vision and machine learning. Notable recent works include:

  • An Empirical Study of Training Self-Supervised Vision Transformers, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • Exploring Simple Siamese Representation Learning, 2020, arXiv (Cornell University)
  • A flexible triboelectric tactile sensor for simultaneous material and texture recognition, 2021, Nano Energy
  • Image manipulation detection by multiple tampering traces and edge artifact enhancement, 2022, Pattern Recognition
  • PAS: Prediction-Based Actuation System for City-Scale Ridesharing Vehicular Mobile Crowdsensing, 2020, IEEE Internet of Things Journal

Xinglei Chen collaborates frequently with several researchers in the field. Co-authors include Ying Sun, Fan Dang, Dezhi Zheng, Yunhao Liu, and Saining Xie. These collaborators have contributed to a significant portion of their joint research output.

The scientist has published extensively in several venues, highlighting their active engagement with various academic communities. Frequent publication venues include:

  • arXiv (Cornell University)
  • Zenodo (CERN European Organization for Nuclear Research)
  • IEEE Transactions on Mobile Computing
  • IEEE Internet of Things Journal
  • Cancer Research

Xinglei Chen's work focuses primarily on advancing computational models and applications in computer science, particularly in machine learning and vision. Their interdisciplinary research incorporates aspects from engineering and neuroscience, aiming to address complex problems through novel methodologies.

Best Publications

  • Exploring Simple Siamese Representation Learning

    Xinlei Chen;Kaiming He

  • Improved Baselines with Momentum Contrastive Learning

    Xinlei Chen;Haoqi Fan;Ross B. Girshick;Kaiming He

  • Microsoft COCO Captions: Data Collection and Evaluation Server

    Xinlei Chen;Hao Fang;Tsung-Yi Lin;Ramakrishna Vedantam

  • An Empirical Study of Training Self-Supervised Vision Transformers

    Xinlei Chen;Saining Xie;Kaiming He

  • ConvNeXt V2: Co-designing and Scaling ConvNets with Masked Autoencoders

    Unknown

  • Never-ending learning

    T. Mitchell;W. Cohen;E. Hruschka;P. Talukdar

  • Never-ending learning

    T. Mitchell;W. Cohen;E. Hruschka;P. Talukdar

  • Visualizing and Understanding Neural Models in NLP

    Jiwei Li;Xinlei Chen;Eduard H. Hovy;Dan Jurafsky

  • Mind's eye: A recurrent visual representation for image caption generation

    Xinlei Chen;C. Lawrence Zitnick

  • NEIL: Extracting Visual Knowledge from Web Data

    Xinlei Chen;Abhinav Shrivastava;Abhinav Gupta

  • Large scale spectral clustering with landmark-based representation

    Xinlei Chen;Deng Cai

  • Towards VQA Models That Can Read

    Amanpreet Singh;Vivek Natarajan;Meet Shah;Yu Jiang

  • Webly Supervised Learning of Convolutional Networks

    Xinlei Chen;Abhinav Gupta

  • TensorMask: A Foundation for Dense Object Segmentation

    Xinlei Chen;Ross Girshick;Kaiming He;Piotr Dollar

  • In Defense of Grid Features for Visual Question Answering

    Huaizu Jiang;Ishan Misra;Marcus Rohrbach;Erik Learned-Miller

  • Large Scale Spectral Clustering Via Landmark-Based Sparse Representation

    Deng Cai;Xinlei Chen

  • ImVoteNet: Boosting 3D Object Detection in Point Clouds With Image Votes

    Charles R. Qi;Xinlei Chen;Or Litany;Leonidas J. Guibas

  • Learning a Recurrent Visual Representation for Image Caption Generation

    Xinlei Chen;C. Lawrence Zitnick

  • nocaps: novel object captioning at scale

    Harsh Agrawal;Peter Anderson;Karan Desai;Yufei Wang

  • nocaps: novel object captioning at scale.

    Harsh Agrawal;Karan Desai;Yufei Wang;Xinlei Chen

  • Iterative Visual Reasoning Beyond Convolutions

    Xinlei Chen;Li-Jia Li;Li Fei-Fei;Abhinav Gupta

Frequent Co-Authors

Abhinav Gupta
Abhinav Gupta Carnegie Mellon University
Devi Parikh
Devi Parikh Facebook (United States)
Dhruv Batra
Dhruv Batra Georgia Institute of Technology
Marcus Rohrbach
Marcus Rohrbach Facebook (United States)
Kaiming He
Kaiming He Facebook (United States)
Ross Girshick
Ross Girshick Facebook (United States)
Piotr Dollar
Piotr Dollar Facebook (United States)
Yuandong Tian
Yuandong Tian Facebook (United States)
Deng Cai
Deng Cai Zhejiang University
Saining Xie
Saining Xie New York University

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