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 32 13072 12684 1600 1591 193 5055

Wei Feng publications per year

The chart shows the history of publications by Wei Feng between 2000 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Wei Feng published across 26 years, from 2000 to 2025, averaging 9.1 papers a year. Output peaked at 31 publications in 2020. 53 of the 236 publications appeared in the last two years.

No. of publications
10 20 30
Bar chart. Horizontal axis: year, 2000 to 2025. Vertical axis: number of publications, 0 to 31. Peak 31 publications in 2020. 2000: 1 publication 2001: 0 publications 2002: 0 publications 2003: 1 publication 2004: 1 publication 2005: 1 publication 2006: 0 publications 2007: 0 publications 2008: 2 publications 2009: 4 publications 2010: 6 publications 2011: 5 publications 2012: 4 publications 2013: 8 publications 2014: 10 publications 2015: 7 publications 2016: 2 publications 2017: 7 publications 2018: 15 publications 2019: 17 publications 2020: 31 publications 2021: 21 publications 2022: 19 publications 2023: 21 publications 2024: 31 publications 2025: 22 publications
2000 2025

236 publications in total across all disciplines

View publications per year as a table
Wei Feng: publications per year, 2000 to 2025
Year Publications
2000 1
2001 0
2002 0
2003 1
2004 1
2005 1
2006 0
2007 0
2008 2
2009 4
2010 6
2011 5
2012 4
2013 8
2014 10
2015 7
2016 2
2017 7
2018 15
2019 17
2020 31
2021 21
2022 19
2023 21
2024 31
2025 22
Total 236
Download as CSV

Wei 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 Wei 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, 192–201 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: 193 publications — 44th percentile

44% 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
192–201 519 193
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

Wei 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 Wei 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, 32–33 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: 32 D-Index — 10th percentile

10% 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 32
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
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

Wei Feng is a researcher affiliated with Tianjin University in China, specializing in computer science with a focus on computer vision and pattern recognition. Their body of work encompasses 188 publications, highlighting extensive research in several subfields including artificial intelligence, human-computer interaction, biomedical engineering, and developmental and educational psychology.

The scientist's research primarily centers on topics such as human pose and action recognition, video surveillance and tracking methods, anomaly detection techniques and applications, hand gesture recognition systems, advanced vision and imaging, gait recognition and analysis, and multimodal machine learning applications.

Wei Feng has contributed to a number of recent papers, including the following:

  • Learning Guided Convolutional Network for Depth Completion (2020), IEEE Transactions on Image Processing
  • EfficientDeRain: Learning Pixel-wise Dilation Filtering for High-Efficiency Single-Image Deraining (2021), Proceedings of the AAAI Conference on Artificial Intelligence
  • Exploring the Effects of Blur and Deblurring to Visual Object Tracking (2021), IEEE Transactions on Image Processing
  • Structural Knowledge Distillation for Efficient Skeleton-Based Action Recognition (2021), IEEE Transactions on Image Processing
  • RNN-Transducer based Chinese Sign Language Recognition (2020), Neurocomputing

Their frequent collaborators include Song Wang, Qing Guo, Ruize Han, Felix Juefei-Xu, and Fan Lyu, with multiple joint publications reflecting sustained research partnerships.

Wei Feng's published work appears prominently in several venues:

  • arXiv (Cornell University)
  • IEEE Transactions on Image Processing
  • IEEE Transactions on Information Forensics and Security
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • Neurocomputing

The researcher's contributions cover a wide spectrum of applications within computer vision and machine learning, addressing technical challenges in real-world contexts such as visual object tracking, action recognition, and image restoration techniques. Their interdisciplinary approach also extends into areas like human-computer interaction and biomedical engineering, demonstrating versatility across related domains.

Best Publications

  • Learning Dynamic Siamese Network for Visual Object Tracking

    Qing Guo;Wei Feng;Ce Zhou;Rui Huang

  • The sixth visual object tracking VOT2018 challenge results

    Matej Kristan;Aleš Leonardis;Jiří Matas;Michael Felsberg

  • The Seventh Visual Object Tracking VOT2019 Challenge Results

    Matej Kristan;Amanda Berg;Linyu Zheng;Litu Rout

  • Learning Guided Convolutional Network for Depth Completion

    Jie Tang;Fei-Peng Tian;Wei Feng;Jian Li

  • DeepRhythm: Exposing DeepFakes with Attentional Visual Heartbeat Rhythms

    Hua Qi;Qing Guo;Felix Juefei-Xu;Xiaofei Xie

  • Minimizing sparse higher order energy functions of discrete variables

    Carsten Rother;Pushmeet Kohli;Wei Feng;Jiaya Jia

  • TextDragon: An End-to-End Framework for Arbitrary Shaped Text Spotting

    Wei Feng;Wenhao He;Fei Yin;Xu-Yao Zhang

  • Self-adaptively Weighted Co-saliency Detection via Rank Constraint.

    Xiaochun Cao;Zhiqiang Tao;Bao Zhang;Huazhu Fu

  • Class Imbalance Ensemble Learning Based on the Margin Theory

    Wei Feng;Wenjiang Huang;Jinchang Ren

  • A Multi-Task Mean Teacher for Semi-Supervised Shadow Detection

    Zhihao Chen;Lei Zhu;Liang Wan;Song Wang

  • From Synthetic to Real: Image Dehazing Collaborating with Unlabeled Real Data

    Ye Liu;Lei Zhu;Shunda Pei;Huazhu Fu

  • Auto-Exposure Fusion for Single-Image Shadow Removal

    Lan Fu;Changqing Zhou;Qing Guo;Felix Juefei-Xu

  • Dynamic Saliency-Aware Regularization for Correlation Filter-Based Object Tracking

    Wei Feng;Ruize Han;Qing Guo;Jianke Zhu

  • Video anomaly detection based on a hierarchical activity discovery within spatio-temporal contexts

    Dan Xu;Dan Xu;Rui Song;Xinyu Wu;Xinyu Wu;Nannan Li

  • Self-Validated Labeling of Markov Random Fields for Image Segmentation

    Wei Feng;Jiaya Jia;Zhi-Qiang Liu

  • Learned Map Prediction for Enhanced Mobile Robot Exploration

    Rakesh Shrestha;Fei-Peng Tian;Wei Feng;Ping Tan

  • Continuous Sign Language Recognition with Correlation Network

    Unknown

  • A compact and optimized neural network approach for battery state-of-charge estimation of energy storage system

    Yuanjun Guo;Zhile Yang;Kailong Liu;Yanhui Zhang

  • EfficientDeRain: Learning pixel-wise dilation filtering for high-efficiency single-image deraining

    Qing Guo;Jingyang Sun;Felix Juefei-Xu;Lei Ma

  • Skeleton embedded motion body partition for human action recognition using depth sequences

    Xiaopeng Ji;Xiaopeng Ji;Jun Cheng;Jun Cheng;Wei Feng;Wei Feng;Dapeng Tao

  • SPHORB: A Fast and Robust Binary Feature on the Sphere

    Qiang Zhao;Wei Feng;Liang Wan;Jiawan Zhang

  • SPARK: Spatial-Aware Online Incremental Attack Against Visual Tracking

    Qing Guo;Qing Guo;Xiaofei Xie;Felix Juefei-Xu;Lei Ma

  • Exploring the Effects of Blur and Deblurring to Visual Object Tracking

    Qing Guo;Wei Feng;Ruijun Gao;Yang Liu

  • Structural Knowledge Distillation for Efficient Skeleton-Based Action Recognition

    Cunling Bian;Wei Feng;Liang Wan;Song Wang

  • Watch out! Motion is Blurring the Vision of Your Deep Neural Networks

    Qing Guo;Felix Juefei-Xu;Xiaofei Xie;Lei Ma

  • RNN-Transducer based Chinese Sign Language Recognition

    Liqing Gao;Haibo Li;Zhijian Liu;Zekang Liu

  • Selective Spatial Regularization by Reinforcement Learned Decision Making for Object Tracking

    Qing Guo;Ruize Han;Wei Feng;Zhihao Chen

  • EfficientDeRain: Learning Pixel-wise Dilation Filtering for High-Efficiency Single-Image Deraining

    Qing Guo;Jingyang Sun;Felix Juefei-Xu;Lei Ma

Frequent Co-Authors

Song Wang
Song Wang University of South Carolina
Felix Juefei-Xu
Felix Juefei-Xu Facebook (United States)
Xiaofei Xie
Xiaofei Xie Nanyang Technological University
Jun Cheng
Jun Cheng University of Chinese Academy of Sciences
Cheng-Lin Liu
Cheng-Lin Liu Chinese Academy of Sciences
Wenjiang Huang
Wenjiang Huang Chinese Academy of Sciences
Fei Yin
Fei Yin Chinese Academy of Sciences
Huazhu Fu
Huazhu Fu Agency for Science, Technology and Research
Chi-Man Pun
Chi-Man Pun University of Macau
Zhile Yang
Zhile Yang University of Chinese Academy of Sciences

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring computer science online offers flexibility, affordability, and a diverse range of pathways. Many students look for affordable online colleges, making it possible to earn a degree while managing costs effectively.

Even if your academic record isn’t perfect, you can still pursue top options. There are reputable college with low gpa policies that allow motivated students to start or continue their journey without unnecessary barriers.

Some may want to earn their degree faster. In this case, a fast track computer science degree offers a way to enter the workforce quickly or upskill rapidly in a tech-focused career.

Not sure where your degree can take you? Computer Science skills are highly versatile. Much like the broad opportunities discussed in what can you do with an environmental studies degree, graduates can explore roles in software development, data science, cybersecurity, and even interdisciplinary fields.

Best Scientists Citing Wei Feng

Trending Scientists

Recently Published Articles