World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
48
Citations
10366
World Ranking
6137
National Ranking
811

Yilong Yin 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 Yilong Yin sits on this spectrum.

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 publications 991+

This scientist: 377 publications — 85th percentile

85% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Yilong Yin 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 Yilong Yin sits on this spectrum.

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 D-Index 131+

This scientist: 48 D-Index — 58th percentile

58% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Overview

Yilong Yin is affiliated with Shandong University in China and has an active research profile predominantly in the field of Computer Science, with a significant focus on subfields such as Computer Vision and Pattern Recognition, Artificial Intelligence, Cardiology and Cardiovascular Medicine, Urban Studies, and Ophthalmology.

The scientist's research topics cover a wide range of specialized areas, including:

  • ECG Monitoring and Analysis
  • Advanced Computing and Algorithms
  • Visual Attention and Saliency Detection
  • Advanced Image and Video Retrieval Techniques
  • Advanced Neural Network Applications
  • Video Analysis and Summarization
  • Video Surveillance and Tracking Methods

Yin's recent publications illustrate a focus on visual saliency and biometric recognition technologies, with notable papers such as:

  • A brief survey of visual saliency detection, 2020, Multimedia Tools and Applications
  • Visual saliency detection by integrating spatial position prior of object with background cues, 2020, Expert Systems with Applications
  • Multi-scale differential feature for ECG biometrics with collective matrix factorization, 2020, Pattern Recognition
  • Finger vein recognition based on zone-based minutia matching, 2020, Neurocomputing
  • Attention based consistent semantic learning for micro-video scene recognition, 2020, Information Sciences

The venues where Yin has frequently published research include:

  • Multimedia Tools and Applications
  • Pattern Recognition
  • Pattern Recognition Letters
  • arXiv (Cornell University)
  • Expert Systems with Applications

Collaborations form an important part of Yin's research activity, reflected in frequent coauthorship with scholars such as Xiushan Nie, Gongping Yang, Kuikui Wang, Yuwen Huang, and Muwei Jian. These collaborations have contributed to multiple scholarly outputs, supporting interdisciplinary approaches within computer science and its applications.

Best Publications

  • Breast Cancer Multi-classification from Histopathological Images with Structured Deep Learning Model.

    Zhongyi Han;Benzheng Wei;Yuanjie Zheng;Yilong Yin

  • On the Class Imbalance Problem

    Xinjian Guo;Yilong Yin;Cailing Dong;Gongping Yang

  • SDUMLA-HMT: a multimodal biometric database

    Yilong Yin;Lili Liu;Xiwei Sun

  • Hierarchical retinal blood vessel segmentation based on feature and ensemble learning

    Shuangling Wang;Yilong Yin;Guibao Cao;Benzheng Wei

  • SAR image segmentation based on Artificial Bee Colony algorithm

    Miao Ma;Jianhui Liang;Min Guo;Yi Fan

  • Finger vein recognition with manifold learning

    Zhi Liu;Yilong Yin;Hongjun Wang;Shangling Song

  • A Maximal Clique Based Multiobjective Evolutionary Algorithm for Overlapping Community Detection

    Xuyun Wen;Wei-Neng Chen;Ying Lin;Tianlong Gu

  • Finger Vein Recognition With Anatomy Structure Analysis

    Lu Yang;Gongping Yang;Yilong Yin;Xiaoming Xi

  • A Hybrid Evolutionary Immune Algorithm for Multiobjective Optimization Problems

    Qiuzhen Lin;Jianyong Chen;Zhi-Hui Zhan;Wei-Neng Chen

  • Deep learning model based breast cancer histopathological image classification

    Benzheng Wei;Zhongyi Han;Xueying He;Yilong Yin

  • FINGER VEIN RECOGNITION BASED ON A PERSONALIZED BEST BIT MAP

    Gongping Yang;Xiaoming Xi;Yilong Yin

  • A Systematic Review of Finger Vein Recognition Techniques

    Kashif Shaheed;Hangang Liu;Gongping Yang;Imran Qureshi

  • Direct estimation of spinal cobb angles by structured multi-output regression

    Haoliang Sun;Haoliang Sun;Xiantong Zhen;Chris Bailey;Parham Rasoulinejad

  • Choroid segmentation from OpticalCoherence Tomography with graph-edge weights learned from deep convolutional neural networks

    Xiaodan Sui;Yuanjie Zheng;Benzheng Wei;Hongsheng Bi

  • Singular value decomposition based minutiae matching method for finger vein recognition

    Fei Liu;Gongping Yang;Yilong Yin;Shuaiqiang Wang

  • Normality Learning in Multispace for Video Anomaly Detection

    Yu Zhang;Xiushan Nie;Rundong He;Meng Chen

  • Finger vein recognition based on local directional code.

    Xianjing Meng;Gongping Yang;Yilong Yin;Rongyang Xiao

  • Multiscale Rotation-Invariant Convolutional Neural Networks for Lung Texture Classification

    Qiangchang Wang;Yuanjie Zheng;Gongping Yang;Weidong Jin

  • Learning discriminative binary codes for finger vein recognition

    Xiaoming Xi;Lu Yang;Yilong Yin

  • Integrating QDWD with pattern distinctness and local contrast for underwater saliency detection

    Muwei Jian;Muwei Jian;Qiang Qi;Junyu Dong;Yilong Yin

  • Finger vein recognition based on (2D)² PCA and metric learning.

    Gongping Yang;Xiaoming Xi;Yilong Yin

Frequent Co-Authors

Gongping Yang
Gongping Yang Shandong University
Muwei Jian
Muwei Jian Shandong University of Finance and Economics
Junyu Dong
Junyu Dong Ocean University of China
Yuanjie Zheng
Yuanjie Zheng Shandong Normal University
Xiantong Zhen
Xiantong Zhen University of Amsterdam
Hui Yu
Hui Yu University of Portsmouth
Shuo Li
Shuo Li Case Western Reserve University
Kin-Man Lam
Kin-Man Lam Hong Kong Polytechnic University
Lei Zhu
Lei Zhu Tongji University
Liqiang Nie
Liqiang Nie Shandong University

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