PeopleofSuperintelligence

Researcher

Xingyuan Wang

Also known as Wang Xing-Yuan, Wang Xing-yuan, Wang Xingyuan, Wang Xing‐Yuan, Wang Xing‐yuan, 王兴元

Xingyuan Wang is a researcher whose work applies chaotic systems to random-number generation, complex networks and image encryption. He earned degrees in applied physics and optics at Tianjin University, completed a computer software and theory PhD at Northeastern University, and held a postdoctoral fellowship in automation there. He coauthored a mouse-driven true random-number generator in 2012, a complex-network study in 2015 and an image-encryption algorithm based on a fractional-order cellular neural network in 2020. He was a highly cited researcher worldwide from 2018 to 2021 and was a second-level professor at Dalian Maritime University by 2022. As of October 2026, he is affiliated with the university's School of Information Science and Technology, where he works in artificial intelligence and image processing.

Works
849
Citations
35,680
h-index
90
Badges

Publication numbers from OpenAlex, as of 22 October 2026.

Timeline

  1. 1987–1999

    Physics, optics and computing degrees

    He earns a bachelor's degree in applied physics at Tianjin University in 1987 and a master's degree in optics there in 1992. He completes a PhD in computer software and theory at Northeastern University in 1999.

  2. 1999–2001

    A postdoc in automation

    From 1999 to 2001, he works as a postdoctoral fellow in automation at Northeastern University.

  3. 2012

    A mouse-driven random-number generator

    In 2012, he coauthors a true random-number generator that uses mouse movement and a one-dimensional chaotic map.

  4. 2015

    Identifying uncertain complex networks

    In 2015, he coauthors a study that uses anticipatory projective synchronization to identify uncertain parameters and complex-network structure.

  5. 2018–2021

    A highly cited researcher

    He is a highly cited researcher worldwide from 2018 to 2021.

  6. 2020

    A fractional-order neural cipher

    In 2020, he coauthors an image-encryption algorithm that uses a fractional-order five-dimensional cellular neural network as its diffusion controller.

  7. By 2022

    Professor at Dalian Maritime

    By 2022, he is a second-level professor with the School of Information Science and Technology at Dalian Maritime University.

  8. As of October 2026

    AI and image processing

    As of October 2026, he is affiliated with the School of Information Science and Technology at Dalian Maritime University, where he works in artificial intelligence and image processing.

Career

  1. Since 2018Dalian Maritime UniversitySecond-level professor
  2. 2025–2026Beijing Institute of Technology
  3. 2023–2026Zhejiang University
  4. 2022–2025Kunming University of Science and Technology
  5. 2022–2025Central South University
  6. 2022–2026Harbin Engineering University
  7. 2021–2023Guangxi Normal University
  8. 2020–2022Qilu University of Technology
  9. 2020–2022Shandong Academy of Sciences
  10. 2020–2024Nanjing Tech University
  11. 2020–2025Beijing University of Chemical Technology
  12. 2019–2021Taiyuan University of Technology
  13. 2016–2018Peking University
  14. 2012–2015Tsinghua University
  15. 2010–2012University of Illinois Urbana-Champaign
  16. 2002–2025Dalian University of Technology
  17. 2001Northeastern UniversityPostdoctoral Fellow

Education

  1. 1999Northeastern UniversityPhD
  2. 1992Tianjin UniversityMaster's degree
  3. 1987Tianjin UniversityBachelor's degree

From the biography and OpenAlex affiliations (the years of papers that list the organization), so some years are approximate.

  1. The company share of AI researchers’ top papers was 31% in 2020–2024 and 8% in 1970–1974Includes Dalian Maritime University. We estimate where the people shaping AI worked when their most-cited papers appeared: the company share was 31% in 2020–2024 and 8% in 1970–1974, and Google led all organizations in 2020–2024.
  2. More people shaping AI studied at Massachusetts Institute of Technology than at any other institutionIncludes Tsinghua University. We estimate where the people shaping AI studied and where their careers led. Massachusetts Institute of Technology leads with 467 former students, including 291 recorded doctorates.
  3. The median h-index is 48 at universities and 14 at frontier AI labsIncludes Tsinghua University. The median h-index is 48 at universities and 14 at frontier AI labs. We compare publishing careers, recent citations, dual appointments and job moves across 2,420 university researchers and 308 frontier-lab researchers.
  4. The Massachusetts Institute of Technology trained or employed 44 of the 187 AI major-prize winners, more than any other universityIncludes Tsinghua University. The Massachusetts Institute of Technology trained or employed 44 of the 187 AI major-prize winners, more than any other university. We compare doctorate and 5+ year employment links, career timing and current workplaces for 187 major-prize and 1,111 best-paper winners.

Colleagues

People with dated positions at the same organization in the same years.

Sources and credits

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  1. Welcome Prof. Xingyuan Wang Invited as Keynote Speaker of EITCE 2022 eitce.org. Checked 22 October 2026.
  2. A Novel True Random Number Generator Based on Mouse Movement and a One-Dimensional Chaotic Map ideas.repec.org. Checked 22 October 2026.
  3. Structure Identification of Uncertain Complex Networks Based on Anticipatory Projective Synchronization journals.plos.org. Checked 22 October 2026.
  4. A novel image encryption algorithm based on fractional order 5D cellular neural network and Fisher-Yates scrambling journals.plos.org. Checked 22 October 2026.
  5. Wang, Xingyuan, Dalian Maritime University | TOPSCINET topscinet.com. Checked 22 October 2026.