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Furu Wei

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Computer Science 97 422 410 234 226 345 40642

Furu Wei publications per year

The chart shows the history of publications by Furu Wei between 2007 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Furu Wei published across 19 years, from 2007 to 2025, averaging 27.4 papers a year. Output peaked at 89 publications in 2022. 106 of the 520 publications appeared in the last two years.

No. of publications
20 40 60 80
Bar chart. Horizontal axis: year, 2007 to 2025. Vertical axis: number of publications, 0 to 89. Peak 89 publications in 2022. 2007: 2 publications 2008: 7 publications 2009: 6 publications 2010: 12 publications 2011: 6 publications 2012: 10 publications 2013: 8 publications 2014: 8 publications 2015: 15 publications 2016: 11 publications 2017: 10 publications 2018: 26 publications 2019: 22 publications 2020: 36 publications 2021: 71 publications 2022: 89 publications 2023: 75 publications 2024: 71 publications 2025: 35 publications
2007 2025

520 publications in total across all disciplines

View publications per year as a table
Furu Wei: publications per year, 2007 to 2025
Year Publications
2007 2
2008 7
2009 6
2010 12
2011 6
2012 10
2013 8
2014 8
2015 15
2016 11
2017 10
2018 26
2019 22
2020 36
2021 71
2022 89
2023 75
2024 71
2025 35
Total 520
Download as CSV

Furu Wei publications per year - data summary

  • Furu Wei, a Computer Science scholar from Microsoft (United States), has 520 publications recorded across 19 years, from 2007 to 2025.
  • The oldest publication on record dates to 2007 and the most recent to 2025.
  • The most productive year is 2022, with 89 publications.
  • The least productive year with any output is 2007, with 2 publications.
  • The rate of publication averages 27.4 papers per year over the whole span, or 27.4 per year counting only the 19 years with at least one publication.
  • The last 5 years on the chart (2021-2025) hold 341 publications, 66% of the career total.
  • Split into equal eras - 2007-2013: 51 publications (7.3 per year); 2014-2020: 128 publications (18.3 per year); 2021-2025: 341 publications (68.2 per year).
  • Comparing the opening and closing eras, the overall trend of publication is rising.

Furu Wei 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 Furu Wei 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, 342–351 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: 345 publications — 81st percentile

81% 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
342–351 208 345
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

Furu Wei 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.
  • Furu Wei, a Computer Science scholar from Microsoft (United States), records 345 publications - the 81st percentile of the discipline.
  • 81% of ranked Computer Science scientists score the same or lower than Furu Wei, and about 19% score higher.
  • The median of the discipline falls in the 202–211 publications range, and Furu Wei ranks above 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).

Furu Wei 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 Furu Wei 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, 96–97 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: 97 D-Index — 97th percentile

97% 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 97
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

Furu Wei 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.
  • Furu Wei, a Computer Science scholar from Microsoft (United States), records 97 D-Index - the 97th percentile of the discipline.
  • 97% of ranked Computer Science scientists score the same or lower than Furu Wei, and about 3% score higher.
  • The median of the discipline falls in the 44–45 D-Index range, and Furu Wei ranks above the median.
  • 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

Furu Wei is affiliated with Microsoft in the United States and has contributed extensively to research in computer science, particularly within artificial intelligence and its related subfields. Their work spans a wide range of topics in the broader areas of natural language processing, computer vision, and signal processing.

The main fields of their research include:

  • Computer Science

Within this domain, the prominent subfields they focus on are:

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Signal Processing
  • Information Systems
  • Electrical and Electronic Engineering

The topics covered in their publications highlight trends in:

  • Topic Modeling
  • Natural Language Processing Techniques
  • Multimodal Machine Learning Applications
  • Speech Recognition and Synthesis
  • Domain Adaptation and Few-Shot Learning
  • Speech and Audio Processing
  • Music and Audio Processing

Furu Wei has been prominently published in venues such as:

  • arXiv (Cornell University)
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  • Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  • IEEE/ACM Transactions on Audio Speech and Language Processing

Their recent research papers include:

  • "Swin Transformer V2: Scaling Up Capacity and Resolution" (2022), published at the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • "WavLM: Large-Scale Self-Supervised Pre-Training for Full Stack Speech Processing" (2022), published in the IEEE Journal of Selected Topics in Signal Processing
  • "Unified language model pre-training for natural language understanding and generation" (2024), available on arXiv (Cornell University)
  • "BEiT: BERT Pre-Training of Image Transformers" (2021), on arXiv (Cornell University)
  • "MiniLM: Deep Self-Attention Distillation for Task-Agnostic Compression of Pre-Trained Transformers" (2020), also on arXiv (Cornell University)

Throughout their career, Furu Wei has worked collaboratively with a number of frequent co-authors, which include:

  • Shaohan Huang
  • Shuming Ma
  • Shujie Liu
  • Jinyu Li
  • Li Dong

This network of collaborators has contributed to the development and dissemination of research related to natural language understanding, multimodal learning, and speech technologies, reflecting a cross-disciplinary approach within computer science.

Best Publications

  • Swin Transformer V2: Scaling Up Capacity and Resolution

    Unknown

  • Oscar: Object-Semantics Aligned Pre-training for Vision-Language Tasks

    Xiujun Li;Xi Yin;Chunyuan Li;Pengchuan Zhang

  • Learning Sentiment-Specific Word Embedding for Twitter Sentiment Classification

    Duyu Tang;Furu Wei;Nan Yang;Ming Zhou

  • WavLM: Large-Scale Self-Supervised Pre-Training for Full Stack Speech Processing

    Sanyuan Chen;Chengyi Wang;Zhengyang Chen;Yu Wu

  • Unified Language Model Pre-training for Natural Language Understanding and Generation

    Li Dong;Nan Yang;Wenhui Wang;Furu Wei

  • LayoutLM: Pre-training of Text and Layout for Document Image Understanding

    Yiheng Xu;Minghao Li;Lei Cui;Shaohan Huang

  • Adaptive Recursive Neural Network for Target-dependent Twitter Sentiment Classification

    Li Dong;Furu Wei;Chuanqi Tan;Duyu Tang

  • VL-BERT: Pre-training of Generic Visual-Linguistic Representations

    Weijie Su;Xizhou Zhu;Yue Cao;Bin Li

  • BEiT: BERT Pre-Training of Image Transformers

    Hangbo Bao;Li Dong;Furu Wei

  • Gated Self-Matching Networks for Reading Comprehension and Question Answering

    Wenhui Wang;Nan Yang;Furu Wei;Baobao Chang

  • MiniLM: Deep Self-Attention Distillation for Task-Agnostic Compression of Pre-Trained Transformers

    Wenhui Wang;Furu Wei;Li Dong;Hangbo Bao

  • LayoutLMv3: Pre-training for Document AI with Unified Text and Image Masking

    Unknown

  • Topic sentiment analysis in twitter: a graph-based hashtag sentiment classification approach

    Xiaolong Wang;Furu Wei;Xiaohua Liu;Ming Zhou

  • Recognizing Named Entities in Tweets

    Xiaohua Liu;Shaodian Zhang;Furu Wei;Ming Zhou

  • Image as a Foreign Language: BEiT Pretraining for All Vision and Vision-Language Tasks

    Unknown

  • Question Answering over Freebase with Multi-Column Convolutional Neural Networks

    Li Dong;Furu Wei;Ming Zhou;Ke Xu

  • Image as a Foreign Language: BEIT Pretraining for Vision and Vision-Language Tasks

    Unknown

  • LayoutLMv2: Multi-modal Pre-training for Visually-rich Document Understanding

    Yang Xu;Yiheng Xu;Tengchao Lv;Lei Cui

  • HIBERT: Document Level Pre-training of Hierarchical Bidirectional Transformers for Document Summarization

    Xingxing Zhang;Furu Wei;Ming Zhou

  • Context preserving dynamic word cloud visualization

    Weiwei Cui;Yingcai Wu;Shixia Liu;Furu Wei

  • SuperAgent: A Customer Service Chatbot for E-commerce Websites

    Lei Cui;Shaohan Huang;Furu Wei;Chuanqi Tan

  • Faithful to the Original: Fact Aware Neural Abstractive Summarization

    Ziqiang Cao;Furu Wei;Wenjie Li;Sujian Li

  • Context-Preserving, Dynamic Word Cloud Visualization

    Weiwei Cui;Yingcai Wu;Shixia Liu;Furu Wei

  • Pseudo-Masked Language Models for Unified Language Model Pre-Training

    Hangbo Bao;Li Dong;Furu Wei;Wenhui Wang

Frequent Co-Authors

Ming Zhou
Ming Zhou Langboat Technology
Li Dong
Li Dong Microsoft (United States)
Ke Xu
Ke Xu Beihang University
Sujian Li
Sujian Li Peking University
Wenjie Li
Wenjie Li Hong Kong Polytechnic University
Chuanqi Tan
Chuanqi Tan Tsinghua University
Ting Liu
Ting Liu Harbin Institute of Technology
Shixia Liu
Shixia Liu Tsinghua University
Yu Wu
Yu Wu Microsoft Research Asia (China)
Shuming Ma
Shuming Ma Peking University

External Links

Personal website of Furu Wei Google Scholar page

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Best Scientists Citing Furu Wei

Jianfeng Gao

Jianfeng Gao

Microsoft (United States)

Publications: 50

Xuanjing Huang

Xuanjing Huang

Fudan University

Publications: 45

Nan Duan

Nan Duan

Microsoft Research Asia (China)

Publications: 37

Ting Liu

Ting Liu

Harbin Institute of Technology

Publications: 35

Yue Zhang

Yue Zhang

Westlake University

Publications: 35

Bing Liu

Bing Liu

University of Illinois at Chicago

Publications: 33

Jingjing Liu

Jingjing Liu

MIT

Publications: 32

Lidong Bing

Lidong Bing

Carnegie Mellon University

Publications: 32

Zhe Gan

Zhe Gan

Microsoft (United States)

Publications: 30

Heng Ji

Heng Ji

University of Illinois at Urbana-Champaign

Publications: 30

Erik Cambria

Erik Cambria

Nanyang Technological University

Publications: 30

Hai Zhao

Hai Zhao

Shanghai Jiao Tong University

Publications: 29

Yangqiu Song

Yangqiu Song

Hong Kong University of Science and Technology

Publications: 28

Shixia Liu

Shixia Liu

Tsinghua University

Publications: 28

Qi Zhang

Qi Zhang

Fudan University

Publications: 27

Sujian Li

Sujian Li

Peking University

Publications: 27

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