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 65 2453 2376 1231 1185 537 17822

Lin Yang publications per year

The chart shows the history of publications by Lin Yang between 1989 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Lin Yang published across 37 years, from 1989 to 2025, averaging 16.6 papers a year. Output peaked at 63 publications in 2018. 6 of the 614 publications appeared in the last two years.

No. of publications
20 40 60
Bar chart. Horizontal axis: year, 1989 to 2025. Vertical axis: number of publications, 0 to 63. Peak 63 publications in 2018. 1989: 1 publication 1990: 1 publication 1991: 0 publications 1992: 0 publications 1993: 0 publications 1994: 0 publications 1995: 1 publication 1996: 1 publication 1997: 0 publications 1998: 0 publications 1999: 5 publications 2000: 1 publication 2001: 2 publications 2002: 6 publications 2003: 7 publications 2004: 7 publications 2005: 8 publications 2006: 14 publications 2007: 23 publications 2008: 19 publications 2009: 26 publications 2010: 24 publications 2011: 31 publications 2012: 27 publications 2013: 36 publications 2014: 39 publications 2015: 45 publications 2016: 49 publications 2017: 58 publications 2018: 63 publications 2019: 42 publications 2020: 46 publications 2021: 24 publications 2022: 1 publication 2023: 1 publication 2024: 1 publication 2025: 5 publications
1989 2025

614 publications in total across all disciplines

View publications per year as a table
Lin Yang: publications per year, 1989 to 2025
Year Publications
1989 1
1990 1
1991 0
1992 0
1993 0
1994 0
1995 1
1996 1
1997 0
1998 0
1999 5
2000 1
2001 2
2002 6
2003 7
2004 7
2005 8
2006 14
2007 23
2008 19
2009 26
2010 24
2011 31
2012 27
2013 36
2014 39
2015 45
2016 49
2017 58
2018 63
2019 42
2020 46
2021 24
2022 1
2023 1
2024 1
2025 5
Total 614
Download as CSV

Lin Yang 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 Lin Yang 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, 532–541 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: 537 publications — 95th percentile

95% 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
522–531 51
532–541 51 537
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

Lin Yang 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 Lin Yang 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, 64–65 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: 65 D-Index — 83rd percentile

83% 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 65
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

Lin Yang is affiliated with the University of Florida in the United States and has a sustained research focus primarily within computer science, contributing to related subfields such as artificial intelligence, computer vision and pattern recognition, and radiology, nuclear medicine and imaging.

Their work frequently intersects with topics involving AI applications in cancer detection, digital imaging for blood diseases, and radiomics and machine learning in medical imaging. Other explored areas include domain adaptation and few-shot learning, advanced neural network applications, COVID-19 diagnosis using AI, and cell image analysis techniques.

Lin Yang's recent publications demonstrate engagement with advanced methods in intelligent rehabilitation and medical image analysis. Notable papers include:

  • "Toward Visual Interaction: Hand Segmentation by Combining 3-D Graph Deep Learning and Laser Point Cloud for Intelligent Rehabilitation" (2025, IEEE Internet of Things Journal)
  • "Intelligent rehabilitation in an aging population: empowering human-machine interaction for hand function rehabilitation through 3D deep learning and point cloud" (2025, Frontiers in Computational Neuroscience)
  • "An Annotation Sparsification Strategy for 3D Medical Image Segmentation via Representative Selection and Self-Training" (2020, Proceedings of the AAAI Conference on Artificial Intelligence)
  • "A deep learning-based framework for lung cancer survival analysis with biomarker interpretation" (2020, BMC Bioinformatics)
  • "Efficient and Robust Malware Detection Based on Control Flow Traces Using Deep Neural Networks" (2022, Computers & Security)

The scientist collaborates frequently with a core group of co-authors, including Hansheng Li, Jun Feng, Lei Cui, Yuxin Kang, and Chenglu Zhu, each contributing to multiple joint publications.

Lin Yang's research is regularly published in venues such as arXiv (Cornell University), Computers & Security, Proceedings of the AAAI Conference on Artificial Intelligence, IEEE Transactions on Medical Imaging, and the 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Best Publications

  • Robust tracking using local sparse appearance model and K-selection

    Baiyang Liu;Junzhou Huang;Lin Yang;Casimir Kulikowsk

  • Robust Nucleus/Cell Detection and Segmentation in Digital Pathology and Microscopy Images: A Comprehensive Review

    Fuyong Xing;Lin Yang

  • Suggestive Annotation: A Deep Active Learning Framework for Biomedical Image Segmentation

    Lin Yang;Yizhe Zhang;Jianxu Chen;Siyuan Zhang

  • Translating and Segmenting Multimodal Medical Volumes with Cycle- and Shape-Consistency Generative Adversarial Network

    Zizhao Zhang;Lin Yang;Yefeng Zheng

  • Deep Learning in Microscopy Image Analysis: A Survey

    Fuyong Xing;Yuanpu Xie;Hai Su;Fujun Liu

  • An Automatic Learning-Based Framework for Robust Nucleus Segmentation

    Fuyong Xing;Yuanpu Xie;Lin Yang

  • Deep Adversarial Networks for Biomedical Image Segmentation Utilizing Unannotated Images

    Yizhe Zhang;Lin Yang;Jianxu Chen;Maridel Fredericksen

  • MDNet: A Semantically and Visually Interpretable Medical Image Diagnosis Network

    Zizhao Zhang;Yuanpu Xie;Fuyong Xing;Mason McGough

  • Photographic Text-to-Image Synthesis with a Hierarchically-Nested Adversarial Network

    Zizhao Zhang;Yuanpu Xie;Lin Yang

  • Electrophysiological Imaging of Brain Activity and Connectivity—Challenges and Opportunities

    Bin He;Lin Yang;C Wilke;Han Yuan

  • Technical Review on Chinese Digital Terrestrial Television Broadcasting Standard and Measurements on Some Working Modes

    Jian Song;Zhixing Yang;Lin Yang;Ke Gong

  • Pathologist-level interpretable whole-slide cancer diagnosis with deep learning

    Zizhao Zhang;Pingjun Chen;Mason McGough;Fuyong Xing

  • Robust Segmentation of Overlapping Cells in Histopathology Specimens Using Parallel Seed Detection and Repulsive Level Set

    Xin Qi;Fuyong Xing;D. J. Foran;Lin Yang

  • Robust and fast collaborative tracking with two stage sparse optimization

    Baiyang Liu;Lin Yang;Junzhou Huang;Peter Meer

  • Fully automatic knee osteoarthritis severity grading using deep neural networks with a novel ordinal loss.

    Pingjun Chen;Linlin Gao;Xiaoshuang Shi;Kyle Allen

  • Beyond Classification: Structured Regression for Robust Cell Detection Using Convolutional Neural Network

    Yuanpu Xie;Fuyong Xing;Xiangfei Kong;Hai Su

  • Unsupervised segmentation based on robust estimation and color active contour models

    Lin Yang;P. Meer;D.J. Foran

  • Mapping soil organic matter using the topographic wetness index: A comparative study based on different flow-direction algorithms and kriging methods

    Tao Pei;Cheng-Zhi Qin;A-Xing Zhu;Lin Yang

  • Deep Learning and Convolutional Neural Networks for Medical Image Computing

    Le Lu;Yefeng Zheng;Gustavo Carneiro;Lin Yang

  • 3D ultrasound tracking of the left ventricle using one-step forward prediction and data fusion of collaborative trackers

    Lin Yang;B. Georgescu;Yefeng Zheng;P. Meer

  • Robust Visual Tracking Using Local Sparse Appearance Model and K-Selection

    Baiyang Liu;Junzhou Huang;Casimir Kulikowski;Lin Yang

  • Improving Deep Pancreas Segmentation in CT and MRI Images via Recurrent Neural Contextual Learning and Direct Loss Function

    Jinzheng Cai;Le Lu;Yuanpu Xie;Fuyong Xing

Frequent Co-Authors

Le Lu
Le Lu Alibaba Group (China)
Peter Meer
Peter Meer Rutgers, The State University of New Jersey
Yefeng Zheng
Yefeng Zheng Tencent (China)
Shaoting Zhang
Shaoting Zhang University of Electronic Science and Technology of China
Alan H. Beggs
Alan H. Beggs Harvard Medical School
Robert B. Weiss
Robert B. Weiss University of Utah
Junzhou Huang
Junzhou Huang The University of Texas at Arlington
Ronald M. Summers
Ronald M. Summers National Institutes of Health
Joel H. Saltz
Joel H. Saltz Stony Brook University
Diane M. Dunn
Diane M. Dunn University of Utah

External Links

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 a career in Computer Science offers many flexible options, especially with the rise of online education. For those just beginning, an online associate's degree in Computer Science can provide a solid foundation and help you enter the workforce quickly or transfer to a bachelor's program later on.

If affordability is a top concern, consider researching the cheapest online college programs. These institutions can help you earn a reputable degree without overwhelming student debt, making your education more accessible.

Worried about your academic history? There are online graduate programs that accept 2.0 gpa, which means you still have the opportunity to advance your studies and career goals, even if your GPA isn't perfect.

Finally, with the growing demand for tech skills, Computer Science graduates can explore interdisciplinary fields. For example, there are high-paying jobs with environmental science degree that value computer science expertise in data analysis, modeling, and sustainability solutions.

Best Scientists Citing Lin Yang

Trending Scientists

Recently Published Articles