World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
50
Citations
7934
World Ranking
5705
National Ranking
758

Nanrun Zhou 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 Nanrun Zhou 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: 136 publications — 21st percentile

21% of scientists in this discipline score the same or lower.

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

Nanrun Zhou 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 Nanrun Zhou 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: 50 D-Index — 62nd percentile

62% of scientists in this discipline score the same or lower.

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

Overview

Nanrun Zhou is a researcher affiliated with Nanchang University in China, actively contributing to the fields of computer science and engineering. Their scholarly focus spans multiple subfields including computer vision and pattern recognition, artificial intelligence, electrical and electronic engineering, atomic and molecular physics and optics, as well as media technology.

The primary topics of Zhou's research include chaos-based image and signal encryption, quantum computing algorithms and architecture, advanced steganography and watermarking techniques, quantum information and cryptography, quantum mechanics and applications, digital media forensic detection, and photonic and optical devices.

Recent research works authored by Nanrun Zhou showcase a focus on image encryption, cryptographic schemes, and signal processing. Notable publications include:

  • Novel multiple color images encryption and decryption scheme based on a bit-level extension algorithm (2023), published in Expert Systems with Applications
  • Multi-image encryption scheme with quaternion discrete fractional Tchebyshev moment transform and cross-coupling operation (2023), published in Signal Processing
  • Hybrid quantum-classical generative adversarial networks for image generation via learning discrete distribution (2022), published in Signal Processing Image Communication

Earlier significant contributions with coauthors include works such as "Prediction of photovoltaic power output based on similar day analysis, genetic algorithm and extreme learning machine" (2020) in Energy, and "Multi-image compression-encryption scheme based on quaternion discrete fractional Hartley transform and improved pixel adaptive diffusion" (2020) in Signal Processing.

Frequent collaborators in Zhou's research include Li-Hua Gong, Heqing Xu, Yinghong Cao, and Jun Mou, reflecting sustained partnerships in related research areas.

Zhou has published numerous articles across various scientific venues. Major publication venues include:

  • International Journal of Theoretical Physics
  • Quantum Information Processing
  • Physica A Statistical Mechanics and its Applications
  • Optics Communications
  • Mathematics

In addition to articles, Zhou authored a book titled Multiparty Secure Quantum and Semiquantum Computations published in 2023 by Frontiers Media.

Best Publications

  • Image compression–encryption scheme based on hyper-chaotic system and 2D compressive sensing

    Nanrun Zhou;Nanrun Zhou;Shumin Pan;Shan Cheng;Zhihong Zhou

  • Novel image compression–encryption hybrid algorithm based on key-controlled measurement matrix in compressive sensing

    Nanrun Zhou;Nanrun Zhou;Aidi Zhang;Fen Zheng;Lihua Gong;Lihua Gong

  • Image compression and encryption scheme based on 2D compressive sensing and fractional Mellin transform

    Nanrun Zhou;Nanrun Zhou;Haolin Li;Di Wang;Shumin Pan

  • Novel optical image encryption scheme based on fractional Mellin transform

    Nanrun Zhou;Yixian Wang;Lihua Gong

  • Prediction of photovoltaic power output based on similar day analysis, genetic algorithm and extreme learning machine

    Yi Zhou;Nanrun Zhou;Lihua Gong;Minlin Jiang

  • An image compression and encryption algorithm based on chaotic system and compressive sensing

    Lihua Gong;Lihua Gong;Kaide Qiu;Chengzhi Deng;Nanrun Zhou

  • Quantum image encryption based on generalized Arnold transform and double random-phase encoding

    Nan Run Zhou;Tian Xiang Hua;Li Hua Gong;Dong Ju Pei

  • Optical image encryption algorithm based on phase-truncated short-time fractional Fourier transform and hyper-chaotic system

    Sha-Sha Yu;Nan-Run Zhou;Li-Hua Gong;Zhe Nie

  • An optical image compression and encryption scheme based on compressive sensing and RSA algorithm

    Lihua Gong;Lihua Gong;Kaide Qiu;Chengzhi Deng;Nanrun Zhou

  • Nonlinear optical multi-image encryption scheme with two-dimensional linear canonical transform

    Zhi-Jing Huang;Shan Cheng;Li-Hua Gong;Li-Hua Gong;Nan-Run Zhou

  • Multi-image compression-encryption scheme based on quaternion discrete fractional Hartley transform and improved pixel adaptive diffusion

    Huo-Sheng Ye;Nan-Run Zhou;Li-Hua Gong

  • Quantum image encryption scheme with iterative generalized Arnold transforms and quantum image cycle shift operations

    Nanrun Zhou;Yiqun Hu;Lihua Gong;Guangyong Li

  • Double-image compression and encryption algorithm based on co-sparse representation and random pixel exchanging

    Nanrun Zhou;Hao Jiang;Lihua Gong;Xinwen Xie

  • Novel single-channel color image encryption algorithm based on chaos and fractional Fourier transform

    Nanrun Zhou;Yixian Wang;Lihua Gong;Hong He

  • Bit-level quantum color image encryption scheme with quantum cross-exchange operation and hyper-chaotic system

    Nanrun Zhou;Nanrun Zhou;Weiwei Chen;Xinyu Yan;Yunqian Wang

  • Novel hybrid image compression–encryption algorithm based on compressive sensing

    Nanrun Zhou;Nanrun Zhou;Nanrun Zhou;Aidi Zhang;Aidi Zhang;Jianhua Wu;Dongju Pei

  • Multi-image encryption scheme based on quantum 3D Arnold transform and scaled Zhongtang chaotic system

    Nanrun Zhou;Nanrun Zhou;Xingyu Yan;Haoran Liang;Xiangyang Tao

  • Quantum Image Encryption Algorithm Based on Quantum Image XOR Operations

    Li-Hua Gong;Xiang-Tao He;Shan Cheng;Tian-Xiang Hua

  • Novel image encryption algorithm based on multiple-parameter discrete fractional random transform

    Nanrun Zhou;Taiji Dong;Jianhua Wu

  • Image compression-encryption algorithms by combining hyper-chaotic system with discrete fractional random transform

    Lihua Gong;Lihua Gong;Chengzhi Deng;Shumin Pan;Nanrun Zhou

Frequent Co-Authors

Guihua Zeng
Guihua Zeng Shanghai Jiao Tong University
Mohamed Elhoseny
Mohamed Elhoseny University of Sharjah

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 in the USA opens doors to multiple online degree options and career pathways in technology and engineering. As demand for STEM professionals grows, students often wonder about flexibility, affordability, and the breadth of disciplines you can conveniently pursue online.

For those interested in sustainable technologies, an environmental engineering degrees online can lead to impactful careers focusing on environmental solutions. Similarly, the cost of an engineering program matters—checking the mechanical engineering degree cost helps students make informed decisions on their investment.

If theoretical sciences interest you, you may ask: can you get a physics degree online? The answer is yes, with many accredited programs now available. For those aiming to work in data-driven fields, finding what is the cheapest data science course in the us? can help you enter a rapidly growing area without overwhelming debt.

Online degrees allow flexible learning and can diversify your career options in Computer Science and related fields—making advanced education more accessible than ever.

Best Scientists Citing Nanrun Zhou

Trending Scientists

Recently Published Articles