World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
75
Citations
20302
World Ranking
1426
National Ranking
193

Jiwu Huang 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 Jiwu Huang 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: 359 publications — 83rd percentile

83% of scientists in this discipline score the same or lower.

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

Jiwu Huang 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 Jiwu Huang 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: 75 D-Index — 90th percentile

90% of scientists in this discipline score the same or lower.

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

Overview

Jiwu Huang is affiliated with Shenzhen University in China and specializes in the field of computer science, with a strong focus on computer vision and pattern recognition. Their research contributions span various subfields including artificial intelligence, signal processing, media technology, and information systems.

Their work covers several major topics, among which are:

  • Digital Media Forensic Detection
  • Advanced Steganography and Watermarking Techniques
  • Generative Adversarial Networks and Image Synthesis
  • Chaos-based Image/Signal Encryption
  • Adversarial Robustness in Machine Learning
  • Advanced Image Processing Techniques
  • Face recognition and analysis

Jiwu Huang has a record of publications in prominent venues, frequently contributing to:

  • IEEE Transactions on Information Forensics and Security
  • arXiv (Cornell University)
  • IEEE Transactions on Circuits and Systems for Video Technology
  • IEEE Transactions on Dependable and Secure Computing
  • Signal Processing

Recent papers reflect a focus on image forensics and security, including:

  • Identification of deep network generated images using disparities in color components (2020, Signal Processing)
  • An Automatic Cost Learning Framework for Image Steganography Using Deep Reinforcement Learning (2020, IEEE Transactions on Information Forensics and Security)
  • Image Tampering Localization Using a Dense Fully Convolutional Network (2021, IEEE Transactions on Information Forensics and Security)
  • Face Spoofing Detection Based on Local Ternary Label Supervision in Fully Convolutional Networks (2020, IEEE Transactions on Information Forensics and Security)
  • Self-Adversarial Training Incorporating Forgery Attention for Image Forgery Localization (2022, IEEE Transactions on Information Forensics and Security)

Jiwu Huang has collaborated extensively with other researchers, with frequent co-authors including:

  • Shunquan Tan
  • Bin Li
  • Weiqi Luo
  • Wei Lu
  • Weixuan Tang

The breadth of Jiwu Huang's research output comprises over 300 publications, predominantly within computer science. Their work integrates advanced techniques in digital media forensics, image processing, and machine learning forensics, reflecting a sustained commitment to the security and integrity of digital visual content.

Best Publications

  • Edge Adaptive Image Steganography Based on LSB Matching Revisited

    Weiqi Luo;Fangjun Huang;Jiwu Huang

  • A new cost function for spatial image steganography

    Bin Li;Ming Wang;Jiwu Huang;Xiaolong Li

  • A survey on image steganography and steganalysis

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

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

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

  • Robust Detection of Region-Duplication Forgery in Digital Image

    Weiqi Luo;Jiwu Huang;Guoping Qiu

  • Embedding image watermarks in dc components

    Jiwu Huang;Y.Q. Shi;Yi Shi

  • Automatic Steganographic Distortion Learning Using a Generative Adversarial Network

    Weixuan Tang;Shunquan Tan;Bin Li;Jiwu Huang

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

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

  • Digital image splicing detection based on Markov features in DCT and DWT domain

    Zhongwei He;Wei Lu;Wei Sun;Jiwu Huang

  • JPEG Error Analysis and Its Applications to Digital Image Forensics

    Weiqi Luo;Jiwu Huang;Guoping Qiu

  • A Novel Method for Detecting Cropped and Recompressed Image Block

    Weiqi Luo;Zhenhua Qu;Jiwu Huang;Guoping Qiu

  • A Strategy of Clustering Modification Directions in Spatial Image Steganography

    Bin Li;Ming Wang;Xiaolong Li;Shunquan Tan

  • New Framework for Reversible Data Hiding in Encrypted Domain

    Fangjun Huang;Jiwu Huang;Yun-Qing Shi

  • Enhancing Source Camera Identification Performance With a Camera Reference Phase Sensor Pattern Noise

    Xiangui Kang;Yinxiang Li;Zhenhua Qu;Jiwu Huang

  • Robust Image Watermarking Based on Multiband Wavelets and Empirical Mode Decomposition

    Ning Bi;Qiyu Sun;Daren Huang;Zhihua Yang

  • CNN-Based Adversarial Embedding for Image Steganography

    Weixuan Tang;Bin Li;Shunquan Tan;Mauro Barni

  • Identification of deep network generated images using disparities in color components

    Haodong Li;Bin Li;Shunquan Tan;Jiwu Huang

  • An Embedding Cost Learning Framework Using GAN

    Jianhua Yang;Danyang Ruan;Jiwu Huang;Xiangui Kang

  • Detecting Double JPEG Compression With the Same Quantization Matrix

    Fangjun Huang;Jiwu Huang;Yun Qing Shi

  • Reversible Data Hiding in JPEG Images

    Fangjun Huang;Xiaochao Qu;Hyoung Joong Kim;Jiwu Huang

  • CNN Based Adversarial Embedding with Minimum Alteration for Image Steganography.

    Weixuan Tang;Bin Li;Shunquan Tan;Mauro Barni

  • Adaptive image watermarking scheme based on visual masking

    Jiwu Huang;Yun Q. Shi

  • Large-Scale JPEG Image Steganalysis Using Hybrid Deep-Learning Framework

    Jishen Zeng;Shunquan Tan;Bin Li;Jiwu Huang

Frequent Co-Authors

Yun Q. Shi
Yun Q. Shi New Jersey Institute of Technology
Guoping Qiu
Guoping Qiu University of Nottingham
Wei Lu
Wei Lu Sun Yat-sen University
Sam Kwong
Sam Kwong Lingnan University
Anderson Rocha
Anderson Rocha State University of Campinas
C.-C. Jay Kuo
C.-C. Jay Kuo University of Southern California
Mauro Barni
Mauro Barni University of Siena
Hyoung Joong Kim
Hyoung Joong Kim Korea University
Shaw-Min Lei
Shaw-Min Lei MediaTek (Taiwan)
Nirwan Ansari
Nirwan Ansari New Jersey Institute of Technology

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