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Yun Fu

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Computer Science 95 457 444 251 243 517 42883

Yun Fu publications per year

The chart shows the history of publications by Yun Fu between 1998 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Yun Fu published across 28 years, from 1998 to 2025, averaging 18.6 papers a year. Output peaked at 60 publications in 2021. 14 of the 522 publications appeared in the last two years.

No. of publications
20 40 60
Bar chart. Horizontal axis: year, 1998 to 2025. Vertical axis: number of publications, 0 to 60. Peak 60 publications in 2021. 1998: 1 publication 1999: 0 publications 2000: 0 publications 2001: 0 publications 2002: 0 publications 2003: 0 publications 2004: 0 publications 2005: 0 publications 2006: 8 publications 2007: 14 publications 2008: 28 publications 2009: 12 publications 2010: 14 publications 2011: 10 publications 2012: 22 publications 2013: 14 publications 2014: 31 publications 2015: 27 publications 2016: 49 publications 2017: 48 publications 2018: 55 publications 2019: 58 publications 2020: 48 publications 2021: 60 publications 2022: 1 publication 2023: 8 publications 2024: 8 publications 2025: 6 publications
1998 2025

522 publications in total across all disciplines

View publications per year as a table
Yun Fu: publications per year, 1998 to 2025
Year Publications
1998 1
1999 0
2000 0
2001 0
2002 0
2003 0
2004 0
2005 0
2006 8
2007 14
2008 28
2009 12
2010 14
2011 10
2012 22
2013 14
2014 31
2015 27
2016 49
2017 48
2018 55
2019 58
2020 48
2021 60
2022 1
2023 8
2024 8
2025 6
Total 522
Download as CSV

Yun Fu 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 Yun Fu 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, 512–521 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: 517 publications — 94th percentile

94% 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
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 57 517
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

Yun Fu 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 Yun Fu 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, 94–95 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: 95 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 95
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

Overview

Yun Fu is affiliated with Northeastern University in the United States and conducts research primarily in the fields of Computer Science and Engineering. Their work spans several subfields, including Computer Vision and Pattern Recognition, Artificial Intelligence, Mechanical Engineering, Civil and Structural Engineering, and Electrical and Electronic Engineering.

The main research topics covered by Yun Fu include Face Recognition and Analysis, Domain Adaptation and Few-Shot Learning, Biometric Identification and Security, Geotechnical Engineering and Underground Structures, Underground Infrastructure and Sustainability, Infrastructure Maintenance and Monitoring, and Advanced Image Processing Techniques.

Yun Fu has co-authored several papers with frequent collaborators such as Joseph P. Robinson, Ming Shao, Matthew A. Turk, Rama Chellappa, and Yu Yin.

Their frequent publication venues include:

  • arXiv (Cornell University)
  • Tunnelling and Underground Space Technology
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • 2021 16th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2021)
  • Energies

Representative recent papers authored or co-authored by Yun Fu are:

  • Development of trenchless rehabilitation for underground pipelines from an academic perspective (2023), published in Tunnelling and Underground Space Technology
  • AdaFormer: Efficient Transformer with Adaptive Token Sparsification for Image Super-resolution (2024), published in Proceedings of the AAAI Conference on Artificial Intelligence
  • The 5th Recognizing Families in the Wild Data Challenge: Predicting Kinship from Faces (2021), published in 2021 16th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2021)
  • Expanding the Latent Space of StyleGAN for Real Face Editing (2022), published on arXiv (Cornell University)
  • Recognizing Families In the Wild: White Paper for the 4th Edition Data Challenge (2020), published on arXiv (Cornell University)

Best Publications

  • Image Super-Resolution Using Very Deep Residual Channel Attention Networks

    Yulun Zhang;Kunpeng Li;Kai Li;Lichen Wang

  • Residual Dense Network for Image Super-Resolution

    Yulun Zhang;Yapeng Tian;Yu Kong;Bineng Zhong

  • Large Scale Incremental Learning

    Yue Wu;Yinpeng Chen;Lijuan Wang;Yuancheng Ye

  • Age Synthesis and Estimation via Faces: A Survey

    Yun Fu;Guodong Guo;T S Huang

  • Residual Dense Network for Image Restoration

    Yulun Zhang;Yapeng Tian;Yu Kong;Bineng Zhong

  • Image-Based Human Age Estimation by Manifold Learning and Locally Adjusted Robust Regression

    Guodong Guo;Yun Fu;C.R. Dyer;T.S. Huang

  • Learning With $ll ^{1}$ -Graph for Image Analysis

    Bin Cheng;Jianchao Yang;Shuicheng Yan;Yun Fu

  • Human age estimation using bio-inspired features

    Guodong Guo;Guowang Mu;Yun Fu;Thomas S Huang

  • Rethinking Classification and Localization for Object Detection

    Yue Wu;Yinpeng Chen;Lu Yuan;Zicheng Liu

  • Human Action Recognition and Prediction: A Survey.

    Yu Kong;Yun Fu

  • TDAN: Temporally-Deformable Alignment Network for Video Super-Resolution

    Yapeng Tian;Yulun Zhang;Yun Fu;Chenliang Xu

  • Analysis of EEG Signals and Facial Expressions for Continuous Emotion Detection

    Mohammad Soleymani;Sadjad Asghari-Esfeden;Yun Fu;Maja Pantic

  • Tell Me Where to Look: Guided Attention Inference Network

    Kunpeng Li;Ziyan Wu;Kuan-Chuan Peng;Jan Ernst

  • Visual Semantic Reasoning for Image-Text Matching

    Kunpeng Li;Yulun Zhang;Kai Li;Yuanyuan Li

  • Human Age Estimation With Regression on Discriminative Aging Manifold

    Yun Fu;T.S. Huang

  • Deep Collaborative Filtering via Marginalized Denoising Auto-encoder

    Sheng Li;Jaya Kawale;Yun Fu

  • Residual Non-local Attention Networks for Image Restoration

    Yulun Zhang;Kunpeng Li;Kai Li;Bineng Zhong

  • Multi-View Clustering via Deep Matrix Factorization.

    Handong Zhao;Zhengming Ding;Yun Fu

  • Skeleton based action recognition with convolutional neural network

    Yong Du;Yun Fu;Liang Wang

  • Generalized Transfer Subspace Learning Through Low-Rank Constraint

    Ming Shao;Dmitry Kit;Yun Fu

Frequent Co-Authors

Zhengming Ding
Zhengming Ding Tulane University
Thomas S. Huang
Thomas S. Huang University of Illinois at Urbana-Champaign
Sheng Li
Sheng Li University of Virginia
Bineng Zhong
Bineng Zhong Guangxi Normal University
Guodong Guo
Guodong Guo West Virginia University
Shuicheng Yan
Shuicheng Yan National University of Singapore
Zhaowen Wang
Zhaowen Wang Adobe Systems (United States)
Ying Wu
Ying Wu Northwestern University
Zicheng Liu
Zicheng Liu Microsoft (United States)
Junsong Yuan
Junsong Yuan University at Buffalo, State University of New York

External Links

Personal website of Yun Fu Google Scholar page

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Best Scientists Citing Yun Fu

Dacheng Tao

Dacheng Tao

Nanyang Technological University

Publications: 76

Shuicheng Yan

Shuicheng Yan

National University of Singapore

Publications: 69

Jiwen Lu

Jiwen Lu

Tsinghua University

Publications: 60

Xuelong Li

Xuelong Li

China Telecom (China)

Publications: 51

Fadi Dornaika

Fadi Dornaika

Ikerbasque

Publications: 50

Thomas S. Huang

Thomas S. Huang

University of Illinois at Urbana-Champaign

Publications: 48

Xiao-Yuan Jing

Xiao-Yuan Jing

Wuhan University

Publications: 43

Ling Shao

Ling Shao

Terminus International

Publications: 38

Xinbo Gao

Xinbo Gao

Xidian University

Publications: 37

Shiguang Shan

Shiguang Shan

Chinese Academy of Sciences

Publications: 37

Xilin Chen

Xilin Chen

University of Chinese Academy of Sciences

Publications: 37

Meng Wang

Meng Wang

Hefei University of Technology

Publications: 36

Wangmeng Zuo

Wangmeng Zuo

Harbin Institute of Technology

Publications: 35

Zhao Zhang

Zhao Zhang

Hefei University of Technology

Publications: 33

Radu Timofte

Radu Timofte

University of Wurzburg

Publications: 32

Maja Pantic

Maja Pantic

Imperial College London

Publications: 31

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