World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
83
Citations
27876
World Ranking
902
National Ranking
491

Yun Q. Shi 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 Q. Shi 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: 409 publications — 88th percentile

88% of scientists in this discipline score the same or lower.

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

Yun Q. Shi 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 Q. Shi 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: 83 D-Index — 94th percentile

94% of scientists in this discipline score the same or lower.

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

Overview

Yun Q. Shi is affiliated with the New Jersey Institute of Technology in the United States. Their research spans multiple scientific disciplines, with a focus on cognitive neuroscience, radiology, nuclear medicine and imaging, computer vision and pattern recognition, organic chemistry, and experimental and cognitive psychology.

Their scholarly output includes work published in several venues, notably:

  • arXiv (Cornell University)
  • Journal of Affective Disorders
  • Advanced Materials
  • China Journal of Accounting Research
  • Human Brain Mapping

Yun Q. Shi has collaborated frequently with peers including Peishan Dai, Zhongchao Huang, Ying Zhou, Da Lu, and Zailiang Chen.

Their research covers a variety of principal topics, such as:

  • Functional Brain Connectivity Studies
  • Mental Health Research Topics
  • EEG and Brain-Computer Interfaces
  • Synthesis and Biological Evaluation
  • Advanced MRI Techniques and Applications
  • Advanced Neuroimaging Techniques and Applications
  • Blockchain Technology Applications and Security

Recent papers authored or coauthored by Yun Q. Shi include:

  • "Can blockchain technology be effectively integrated into the real economy? Evidence from corporate investment efficiency," 2023, China Journal of Accounting Research
  • "Potassium doping carbon nitride: Dramatically enhanced photocatalytic properties for hydroxyalkylation of quinoxalin-2(1H)-ones with alcohol under air atmosphere," 2022, Journal of Catalysis
  • "Classification of MDD using a Transformer classifier with large-scale multisite resting-state fMRI data," 2023, Human Brain Mapping
  • "Classification of recurrent major depressive disorder using a new time series feature extraction method through multisite rs-fMRI data," 2023, Journal of Affective Disorders
  • "Classification of recurrent major depressive disorder using a residual denoising autoencoder framework: Insights from large-scale multisite fMRI data," 2024, Computer Methods and Programs in Biomedicine

Best Publications

  • Reversible data hiding

    Zhicheng Ni;Yun-Qing Shi;N. Ansari;Wei Su

  • Reversible Watermarking Algorithm Using Sorting and Prediction

    V. Sachnev;Hyoung Joong Kim;Jeho Nam;S. Suresh

  • Image and Video Compression for Multimedia Engineering: Fundamentals, Algorithms, and Standards

    Yun Q. Shi;Huifang Sun

  • Reversible Data Hiding: Advances in the Past Two Decades

    Yun-Qing Shi;Xiaolong Li;Xinpeng Zhang;Hao-Tian Wu

  • A survey on image steganography and steganalysis

    Bin Li;Junhui He;Jiwu Huang;Yun Qing Shi

  • Pairwise Prediction-Error Expansion for Efficient Reversible Data Hiding

    Bo Ou;Xiaolong Li;Yao Zhao;Rongrong Ni

  • A DWT-DFT composite watermarking scheme robust to both affine transform and JPEG compression

    Xiangui Kang;Jiwu Huang;Yun Q Shi;Yan Lin

  • A Markov process based approach to effective attacking JPEG steganography

    Yun Q. Shi;Chunhua Chen;Wen Chen

  • Embedding image watermarks in dc components

    Jiwu Huang;Y.Q. Shi;Yi Shi

  • A Novel Difference Expansion Transform for Reversible Data Embedding

    Hyoung Joong Kim;V. Sachnev;Yun Qing Shi;Jeho Nam

  • Distortionless data hiding based on integer wavelet transform

    Guorong Xuan;Jiang Zhu;Jidong Chen;Yun Q. Shi

  • A generalized Benford's law for JPEG coefficients and its applications in image forensics

    Dongdong Fu;Yun Q. Shi;Wei Su

  • Efficiently self-synchronized audio watermarking for assured audio data transmission

    Shaoquan Wu;Jiwu Huang;Daren Huang;Y.Q. Shi

  • Uniform Embedding for Efficient JPEG Steganography

    Linjie Guo;Jiangqun Ni;Yun Qing Shi

  • JPEG image steganalysis utilizing both intrablock and interblock correlations

    Chunhua Chen;Y.Q. Shi

  • Using Statistical Image Model for JPEG Steganography: Uniform Embedding Revisited

    Linjie Guo;Jiangqun Ni;Wenkang Su;Chengpei Tang

  • Distance-reciprocal distortion measure for binary document images

    Haiping Lu;A.C. Kot;Y.Q. Shi

  • Robust Lossless Image Data Hiding Designed for Semi-Fragile Image Authentication

    Zhicheng Ni;Y.Q. Shi;N. Ansari;Wei Su

  • A natural image model approach to splicing detection

    Yun Q. Shi;Chunhua Chen;Wen Chen

  • Steganalysis based on multiple features formed by statistical moments of wavelet characteristic functions

    Guorong Xuan;Yun Q. Shi;Jianjiong Gao;Dekun Zou

  • Reversible data hiding

    Zhicheng Ni;Y.Q. Shi;N. Ansari;Wei Su

Frequent Co-Authors

Jiwu Huang
Jiwu Huang Shenzhen University
Wei Su
Wei Su Tianjin University
Nirwan Ansari
Nirwan Ansari New Jersey Institute of Technology
Jianjiong Gao
Jianjiong Gao Memorial Sloan Kettering Cancer Center
Hyoung Joong Kim
Hyoung Joong Kim Korea University
Alex C. Kot
Alex C. Kot Nanyang Technological University
Frank Y. Shih
Frank Y. Shih New Jersey Institute of Technology
Anthony Vetro
Anthony Vetro Mitsubishi Electric (United States)
Yao Zhao
Yao Zhao Beijing Jiaotong University
Stefan Katzenbeisser
Stefan Katzenbeisser University of Passau

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