World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
47
Citations
17038
World Ranking
6303
National Ranking
125

Yi-Cheng Zhang 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 Yi-Cheng Zhang 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: 145 publications — 25th percentile

25% of scientists in this discipline score the same or lower.

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

Yi-Cheng Zhang 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 Yi-Cheng Zhang 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: 47 D-Index — 56th percentile

56% of scientists in this discipline score the same or lower.

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

Overview

Yi-Cheng Zhang is affiliated with the University of Fribourg in Switzerland, focusing primarily on engineering research. Their work spans various subfields including organic chemistry, electrical and electronic engineering, control and systems engineering, plant science, and automotive engineering.

Their research covers a range of topics, notably:

  • Catalytic C-H Functionalization Methods
  • Radical Photochemical Reactions
  • Microgrid Control and Optimization
  • Optimal Power Flow Distribution
  • Smart Grid Energy Management
  • Sulfur-Based Synthesis Techniques
  • Transportation Planning and Optimization

Yi-Cheng Zhang has contributed to numerous publications, with frequent dissemination in venues such as:

  • SSRN Electronic Journal
  • arXiv (Cornell University)
  • IEEE Transactions on Intelligent Transportation Systems
  • Journal of Physics Conference Series
  • Mathematics

Notable recent papers include:

  • "A practical synthesis of α-bromo/iodo/chloroketones from olefins under visible-light irradiation conditions" (2020), Chinese Chemical Letters
  • "Two-step Optimal Allocation of Stationary and Mobile Energy Storage Systems in Resilient Distribution Networks" (2021), Journal of Modern Power Systems and Clean Energy
  • "Synchronization in multiplex networks" (2024), Physics Reports
  • "Stability Analysis for a Class of Stochastic Differential Equations with Impulses" (2023), Mathematics
  • "A cyclic bis[2]catenane metallacage" (2020), Nature Communications

Yi-Cheng Zhang frequently collaborates with several coauthors, including:

  • Jian Chen
  • Pinhua Li
  • Yixue Mu
  • Zheng Huang
  • Rong Su

In addition to journal articles and conference papers, Yi-Cheng Zhang has contributed to book publications, including a book titled "Matchmakers and Markets" published by Oxford University Press in 2020.

Best Publications

  • Vital nodes identification in complex networks

    Linyuan Lü;Linyuan Lü;Duanbing Chen;Xiao-Long Ren;Qian-Ming Zhang

  • Emergence of cooperation and organization in an evolutionary game

    Damien Challet;Yi-Cheng Zhang

  • Bipartite network projection and personal recommendation.

    Tao Zhou;Tao Zhou;Jie Ren;Matúš Medo;Yi-Cheng Zhang;Yi-Cheng Zhang

  • Identifying influential nodes in complex networks

    Duanbing Chen;Linyuan Lü;Ming-Sheng Shang;Yi-Cheng Zhang;Yi-Cheng Zhang

  • Solving the apparent diversity-accuracy dilemma of recommender systems

    Tao Zhou;Zoltán Kuscsik;Jian-Guo Liu;Matúš Medo

  • Recommender Systems

    Linyuan Lü;Matus Medo;Chi Ho Yeung;Yi-Cheng Zhang

  • Leaders in social networks, the Delicious case.

    Linyuan Lü;Yi-Cheng Zhang;Yi-Cheng Zhang;Yi-Cheng Zhang;Chi Ho Yeung;Chi Ho Yeung;Chi Ho Yeung;Tao Zhou;Tao Zhou;Tao Zhou

  • Dynamics of information diffusion and its applications on complex networks

    Zi-Ke Zhang;Zi-Ke Zhang;Chuang Liu;Xiu-Xiu Zhan;Xiu-Xiu Zhan;Xin Lu;Xin Lu

  • Toward link predictability of complex networks

    Linyuan Lü;Liming Pan;Tao Zhou;Yi-Cheng Zhang;Yi-Cheng Zhang

  • Percolation on complex networks: Theory and application

    Ming Li;Run-Ran Liu;Linyuan Lü;Linyuan Lü;Mao-Bin Hu

  • Effect of initial configuration on network-based recommendation

    Tao Zhou;Tao Zhou;Tao Zhou;L.-L. Jiang;R.-Q. Su;R.-Q. Su;Yi-Cheng Zhang;Yi-Cheng Zhang

  • Heat conduction process on community networks as a recommendation model.

    Yi-Cheng Zhang;Marcel Blattner;Yi-Kuo Yu

  • Personalized Recommendation via Integrated Diffusion on User-Item-Tag Tripartite Graphs

    Zi-Ke Zhang;Tao Zhou;Tao Zhou;Yi-Cheng Zhang

  • Ranking in evolving complex networks

    Hao Liao;Manuel Sebastian Mariani;Manuel Sebastian Mariani;Matúš Medo;Matúš Medo;Matúš Medo;Yi-Cheng Zhang

  • Solving the cold-start problem in recommender systems with social tags

    Zi-Ke Zhang;Zi-Ke Zhang;Chuang Liu;Yi-Cheng Zhang;Yi-Cheng Zhang;Tao Zhou;Tao Zhou

  • Tag-aware recommender systems: a state-of-the-art survey

    Zi-Ke Zhang;Tao Zhou;Yi-Cheng Zhang

  • Toward a Theory of Marginally Efficient Markets

    Yi-Cheng Zhang

  • Computational network biology: Data, models, and applications

    Chuang Liu;Yifang Ma;Jing Zhao;Ruth Nussinov;Ruth Nussinov

  • Information filtering via iterative refinement

    Paolo Laureti;Lionel Moret;Yi-Cheng Zhang;Yi-Kou Yu

  • Accurate and diverse recommendations via eliminating redundant correlations

    Tao Zhou;Tao Zhou;Ri-Qi Su;Run-Ran Liu;Luo-Luo Jiang

Frequent Co-Authors

Tao Zhou
Tao Zhou University of Electronic Science and Technology of China
Linyuan Lü
Linyuan Lü University of Electronic Science and Technology of China
Zi-Ke Zhang
Zi-Ke Zhang Zhejiang University
Jianguo Liu
Jianguo Liu Michigan State University
Mingsheng Shang
Mingsheng Shang Chinese Academy of Sciences
Bing-Hong Wang
Bing-Hong Wang University of Science and Technology of China
Guido Caldarelli
Guido Caldarelli Ca Foscari University of Venice
H. Eugene Stanley
H. Eugene Stanley Boston University
Giorgio Parisi
Giorgio Parisi Sapienza University of Rome

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